Rolf Krause

Academic service

• Since 2015 Vice-Dean, Faculty of Informatics, USI
  
• Since 2009: Director Institute of Computational Science, Faculty of Informatics, USI
  July 2007–March 2009: Chairman of the examination board for the Bachelor- and Master studies in mathematics at the University of Bonn
  
• July 2007 – March 2009: Chairman of the board of finance for tuition fees at the university of Bonn
  
• 2009 – 2012 Director of the master specialization “Applied Mathematics and Computational Science”,
  faculty of informatics, USI, Lugano
  
• Since 20013 Vice-Director of the master program “Applied Mathematics and Computational Science”,
  Institute of Computational Science, USI, Lugano
  
• Reviewer for the DFG, and for SISC, SINUM, Numerische Mathematik, APNUM, IJNME, ACOM,
  CMAME and other international Journals

Projects and Collaborations

Currently Funded Projects

positive evaluation Formal approval by DFG/snf pending (July 2016). DFG-Priority Program SPP
SPP 1962 (snf funded): “ Non-smooth and Complementarity-based Distributed Parameter Systems:
Simulation and Hierarchical Optimization”. Coordination Prof. M.Hintermüller, Humboldt-
Universität zu Berlin. Project with Prof. Dr. G. Starke (Duisburg) 1 PhD. Start: 01/2013. Stress-
Based Methods for Variational Inequalities in Solid Mechanics: Finite Element Discretization and
Solution by Hierarchical Optimization

[1] Novel electro-mechanical phenotyping of heart failure patients candidate for cardiac resynchronization
therapy 1 PhD A. Auricchio (PI; CCT), R. Krause (Co-PI; USI), F. Maffessanti
(Co-PI; USI)

[2] DFG-Priority Program SPP 1648 (snf funded): “Software for Exascale Computing “SPPEXA”
(2nd phase). Project on adaptivity for space-time integration in HPC within the initiative “Extreme
scale solvers for coupled systems” (Prof.Dr. G. Wittum (speaker), Frankfurt; Prof. Dr. W. Hackbusch
(Max Planck Institute for Mathematics in the Sciences, Leipzig); Prof. Dr. L. Grasedyck (Aachen);
Prof. Dr. W. Resch (HLRS Stuttgart); Prof. Dr. V. Schulz (Trier) (“snf/DFG-Dachabkommen”) 1
PhD. Start: 01/2013.

[3] Industry Project with Siemens Berlin on Uncertainty Quantification for Turbine Blades

[4] DFG-Priority Program SPP 1748 (snf funded) “Reliable simulation techniques in solid mechanics.
Development of non-standard discretization methods, mechanical and mathematical analysis”.
Project on “Large-scale simulation of pneumatic and hydraulic fracture with a phase-field approach”
(Prof.Dr. K. Weinberg (Universität Siegen; Priv.-Doz. Dr. C. Hesch (KIT, Karlsruhe); (“snf/DFGDachabkommen”)
1 PhD. Start: 2015.

[5] snf project 200021_156178 “Geometry-Aware FEM in Computational Mechanics” (together with
Prof. Dr. K. Hormann). 1 PhD. Start: 09/2014

[6] NFP 70 “Energiewende” snf-project within larger umbrella proposal in the framework of the
SCCER “Supply of Energy” Modelling permeability and stimulation for deep heat mining with T.
Driesner (ETH); S. Miller (Neuchâtel) 1 PhD. Start: 2015.

[7] PASC Swiss Platform for Advanced Scientific Computing “AV-Flow” 1 PhD. D. Obrist (PI;
Bern), R. Krause(Co-PI; USI)

[8] PASC Swiss Platform for Advanced Scientific Computing “iFCCS - Integrative HPC Framework
for Coupled Cardiac Simulations” 1 PostDoc. Together with A. Quarteroni, S. Deparis (EPFL), M.
Ptse (ICS/USI)

[9] PASC Swiss Platform for Advanced Scientific Computing “Snowball sampling and conditional
estimation for exponential random graphs models for large networks in high performance computing”
Alessandro Lomi (PI; USI), Rolf Krause (PI; USI)

[10] SERI (Swiss Space Office) “Phase unwrapping Parallel Accelerator (PUPAx) ” together with P.
Pasquali (sarmap, TI)

[11] SciEx project “CATION - Cardiac activation time imaging for noninvasive characterisation of ventricular
conduction abnormalities” 1 PhD. together with A.Auricchio, M. Potse (CCMC/USI). Foreign
partner: M. Tysler (Bratislava)

[12] snf project 205321_149828 “A Flexible High Performance Approach to Cardiac Electromechanics”
together with Prof. Dr. A. Auricchio (Fondazione Cardiocentro Ticino) and Prof. Dr. M. Potse (USI).
1 PhD. Start: January 2014

[13] snf/DFG project 200021L_146167 “Parallel multilevel solvers for coupled interface problems” together
with Prof. Dr. A. Reusken (RWTH Aachen) and Dr. S. Groß (RWTH Aachen). (“snf/DFGDachabkommen”)
2 PhD. Start: Fall 2013

[14] SystemsX project http://www.SystemsX.ch “A massively parallel space-time connected approach
based on implicit active contour methods to track leukocytes observed by multiphoton intra
vital and confocal microscopy ” together with Dr. F.S. González (PI, Institute for Research in
Biomedicine (IRB)), M. Thelen (IRB), M. Bronstein (USI). 1 PhD. Start: 01/2014

[15] Modeling Facility in the Swiss Competence Center on Energy Research “Supply of Energy”
(SCCER-SoE) Responsible for Task 4.3, “Modeling Facility (USI, CSCS, ETH Zurich)”. 1 PostDoc.
Head of SCCER-SoE: Domenico Giardini (ETH Zurich). Start: 11/2013

[16] Sub-Project in the Swiss Competence Center on Energy Research “Future Swiss Electrical
Infrastructures ” (SCCER-FURIES)
1 PostDoc. Head of SCCER-FURIES: Mario Paolone (EPF Lausanne). Start: 11/2013

[17] Cooperation with Dr. R. Sobottke, Klinik und Poliklinik für Orthopädie, University of Cologne, on
the simulation of the loading conditions in the human spine. This cooperation is supported by the
DFG.

[18] Center for Computational Medicine in Cardiology Responsible for creation and build up of the
center (with Prof. Dr. A. Auricchio). The center is currently being built up and will consists of 7
PostDocs and 3 PhD students. Start: 6/2014
 Project financed by “Biologics Delivery Systems” on electromechanical coupling in the huma
heart. 1 PostDoc
 Financial support by Mantegazza foundation (Metis)
 Financial support by FIDINAM Foundation
 Financial support by TRM foundation
 Financial support by USI
 Financial support by Horten foundation
 Financial support by Schiller AG, Baara

[19] IRB project STAT3 - Molecular characterization of a novel class of STAT3 inhibitors. With C.
Catapano (IOR), A. Cavalli (IRB), I. Pivkin (USI) 1 PostDoc

[20] CSCS preparatory project with A. Cavalli (IRB), J. Sgrignani (IRB), I. Pivkin (USI), C. Catapano
(IOR) “Inhibition mechanism of novel STAT3 inhibitors investigated by atomistic simulations” 600
CPU hours, 2014.

[21] CSCS project (Computing time) "Improving Diagnosis of Atrial Fibrillation” together with Prof. Dr. M.
Potse (USI) and Prof. Dr. Ulrich Schotten (University of Maastricht)
(4’000’000 hours computing time at CSCS, 2013-2016)

Former Fundings

[20] CSCS project (Computing time) "Sensitivity Analysis of Electrocardiograms Simulated with a Realistic
Large-Scale Heart Model" together with Prof. Dr. M. Potse
(800’000 hours computing time at CSCS, 2011-2013)

[21] CSCS project (Computing time)"Electrophysiology of Heart Failure" together with Prof. Dr. M.
Potse (USI)
(720’000 hours computing time at CSCS, 2012-2014)

[22] Project within the DFG-funded Clinical Research Unit (KFO 208) “Aetiology and Sequelae of
Periodontal Diseases”: Joint project TP5 with Prof. Dr. C. Bourauel, University of Bonn “Development
of Mathematical Models and Efficient Algorithms to Simulate the Loading Conditions in the
Periodontium in Dental Biomechanics” 1/2 PhD.

[23] DFG Schwerpunktprogramm SPPEXA Project on parallel time integration in HPC within the
initiative “Extreme scale solvers for coupled systems” (Prof.Dr. G. Wittum (speaker), Frankfurt;
Prof. Dr. W. Hackbusch (Max Planck Institute for Mathematics in the Sciences, Leipzig);
Prof. Dr. L. Grasedyck (Aachen); Prof. Dr. W. Resch (HLRS Stuttgart); Prof. Dr. V. Schulz
(Trier) DFG-Priority Program: “Software for Exascale Computing (SPP 1648)”. (“snf/DFGDachabkommen”)
1 PhD. Start: 01/2013.

[24] snf project 200021_140583 “Geometry-Aware FEM in Computational Mechanics” (together with
Prof. Dr. K. Hormann). 1 PhD. Start: 09/2012

[25] Project with Siemens and the University of Wuppertal (Prof. Dr. H. Gottschalk) on the prediction
of material fatigue: “Life Expectancy in extreme temperatures” (1 PhD at Siemens/Mühlheim)

[26] Industry project with the company sarmap on “SARSCAPE Image processor accelerator” funded by
ESA. 1 PostDoc. Start: 09/2012

[27] Sub-Project on Cardiac Simulation in the Network “Biology across Scales” (coordinator P. Koumoutsakos
(ETHZ)) (Community Developing Networks within the HP2C-initiative, with A. Quarteroni
(EPFL), S. Deparis (EPFL), O. Schenk (USI), M. Potse (USI))

[28] snf project 200021_132198 “A Decomposition Approach for the Numerical Solution of Frictional
Contact Problems in Nonlinear Elasticity” 1 PhD. 10/2010-10/2013

[29] Industry research project with Carl Zeiss Jena on contact problems accoring in the production of
freeform lenses (2011-2013)

[30] CTI project with Cardiocentro Ticino (Prof. Dr. A. Auricchio), Schiller AG Baar, EPF Lausanne
(Dr. J.-M. Vesin) on the “Development of risk markers for atrial fibrilation based on numerical
simulation” 1 PostDoc

[31] Cooperation with Prof. Dr. G. Wittum, Goethe-University of Frankfurt: Industry project with the
Automotive Simulation Center Stuttgart e.V. since 12/2009 on crash simulations “Reduzierung
numerischer Sensitivitäten in der Crashsimulation auf HPC-Rechnern”

[32] Responsible for the initial build-up of the core group part of the Swiss HP2C-initiative “High
Performance and Productivity Computing” located at the University of Lugano.
The HP2C initiative and the core group in Lugano (with Prof. Dr. M. Bronstein, Prof. Dr. I. Horenko,
Prof. Dr. I. Pivkin, Prof. Dr. O. Schenk, Prof. Dr. M. Parrinello) have been evaluated highly positively
in December 2011 by an international review committee,
see http://www.hp2c.ch/events/project-review/for details. (in total approx. 2’000’000 CHF)

[33] Project “A high performance approach to cardiac resynchronization therapy - development of a
validated multiscale model for the study of the electrical activation system of the human heart
using adaptive simulation techniques” within the initiative “Ticino Rete-Computational Life Science
Network”. Joint project with Prof. Dr. A. Auricchio, Cardio Centro Ticino, Lugano, and
Prof. Dr. F. Prinzen, University of Maastricht. 1 PostDoc. Within the scientific framework of this
project, the endowed visiting professorship “High Performance Computing in Cardiac Simulation”
(M. Potse) has been created within the faculty of Informatics at the Institute of Computational
Science.

[34] Ford University Research Program: “Advanced numerical algorithms to improve high nonlinear
crash simulation with multi-body contacts and friction” 01/2011-12/2012 PhD.

[35] Joint project with Prof. Dr. A. Danani, SUPSI, Lugano, “Multiscale computational study of linear
and hyperbranched polymers for biomedical applications” within the initiative “Ticino Rete-
Computational Life Science Network”. 1 PhD.

[36] Industry research project on the multiscale modeling of frictional phenomea in cooperation with
Prof. Dr. F. Schuricht, University of Dresden and an undisclosed international company (2008-2012)

[37] Project within in ASIL “Advanced Solvers Integrated Library” (Prof. Dr. G. Wittum (speaker),
Frankfurt; Prof. Dr. W. Hackbusch (Max Planck Institute for Mathematics in the Sciences, Leipzig);
Prof. Dr. C. Wieners(Karlsruhe); Prof. Dr. W. Resch (HLRS Stuttgart); Prof. Dr. V. Schulz (Trier))
in the BMBF (Federal Ministry of Education and Research, Germany) call “HPC-software for scalable
parallel computing”, 01/2009 - 06/2012

[38] Project “Entwicklung bionischer Strömungssensoren für hydrodynamische Messsysteme nach dem
Vorbild des Seitenliniensystems der Fische (Development of bionic flow-sensors for hydrodynamic
measuring systems modeled on the fish’s lateral line)” with Prof. Dr. H. Bleckmann, University of
Bonn and Manfred Lacher, Stiftung Caesar funded by BMBF.

[39] PhD scholarship M. Walloth: “Adaptive numerical simulation of contact problems: Resolving local
effects at the contact boundary in space and time”, 10/2008- 10/2011; Bonn International Graduate
School in Mathematics

[40] Project leader (with Prof. Dr. M. A. Schweitzer) of the project C6 “Coupled Microscale Simulation
of Nonlinear Processes in Structural Mechanics” within the Collaborative Research Center (SFB)
611 “Singular Phenomena and Scaling in Mathematical Models”, 04/2005 -03/2009

[41] Project leader (with Prof. Dr. H. Harbrecht) of the project C7 “Multiscale approximation of boundary
value problems on stochastic domains”’ within the Collaborative Research Center (SFB) 611
“Singular Phenomena and Scaling in Mathematical Models”, 04/2008 -03/2009

[42] PhD scholarship C. Groß: “A Unifying Theory for Nonlinear Additively and Multiplicatively Preconditioned
Globalization Strategies”, 04/2007 - 09/2009; Bonn International Graduate School
Mathematics within the excellence cluster “Mathematics: Foundations, Models, Applications”

[43] PhD scholarship T. Dickopf: “Generic Multiscale Modelling of Complex Biomechanical InterfaceProcesses”, 10/2007-07/2010; Bonn International Graduate School in Mathematics within the excellence
cluster “Mathematics: Foundations, Models, Applications”

[44] Project leader (with Prof. Dr. P. Deuflhard and Prof. Dr. R. Kornhuber) of the project A2 “Simulation
of the Human Gait for Osteotomic Surgery”, DFG Research Center Matheon, Berlin (First phase of
the DFG-Research Center Matheon)

For more informations, please visit:

Group Krause Projects page

Invited presentations

Upcoming Plenary talk, International Multigrid Conference 2016 (IMG), (European Multigrid Conference),
December 2016, Bruchsal, Germany
upcoming Plenary talk, CMSE 2016-Computational Mathematics in Science and Engineering, Czech Republic,
May 2016

[1] Adaptive methods in space and in space-time for electrophysiology - from spatial adaptivity to spacetime
adaptivity with local time-stepping, CBC Workshop on Dynamic Adaptivity, December 9-10,
2015, SIMULA, Oslo

[2] Parallel Methods in Cardiac Simulation – from Lightweight Adaptivity to Coupled Models 4th International
Conference on Computational and Mathematical Biomedical Engineering, CMBE2015 June
2015

[3] Keynote Talk: Massively Parallel Strategies for Contact Interface Detection, Information Transfer,
and Solution, USNCCM 13, San Diego, July 2015

[4] A Flexible High Performance Approach to Cardiac Electromechanics, 9th European Solid Mechanics
Conference, Madrid, July 2015

[5] Efficient Parallel Solution Methods for Biomechanical Problems Involving the Interaction of Fluid
and Structure, Workshop on Computational Biomechanics, Graz, 2014 (with M. Favino, J. Steiner)

[6] Keynote Talk: Stochastic Multiscale Modelling: Computational Challengesin “Computational challenges
in multiscale modelling Symposium” (with I. Pivkin)

[7] Adaptivity and local impact detection for dynamic contact problems in the minisymposium “Impact
and Crash Mechanics” (with M. Walloth) World Congress on Computational Mechanics, 2014,
Barcelona

[8] Efficient numerical simulation of periodontal ligament in the minisymposium “Computational Multiscale
Methods for Tissue Biomechanics”(with M. Favino) World Congress on Computational Mechanics,
2014, Barcelona

[9] Stable mesh transfer for parallel multi-physics simulations in the minisymposium “Innovative Numerical
Approaches for Multi-physics Problems” World Congress on Computational Mechanics, 2014,
Barcelona (with T. Dickopf, P. Zulian)

[10] Coupling of finite element and finite volume methods for fluid-structure-interaction in a monolithic
scheme in the minisymposium “Computational Biomechanics”, World Congress on Computational
Mechanics, 2014, Barcelona (with J. Steiner)

[11] A lightweight approach to parallel adaptivity in electrophysiology in the minisymposium “Advances
in Computational Cardiovascular Modeling and Simulation”, World Congress on Computational
Mechanics, 2014, Barcelona (with D. Krause, S. Pozzi)

[12] Towards new directions of parallel computing - multilevel and domain decomposition in space and
time for large-scale nonlinear problems CADMOS day, Lausanne, November 2013

[13] Probabilistic Schmid Factors and Scatter of LCF Life, Symposium on Structural Durability in Darmstadt
(SoSDiD), May 2014. (H. Gottschalk, S. Schmitz, T. Seibel, G. Rollmann, R. Krause and T.
Beck)

[14] A lightweight approach to parallel adaptivity - design, implementation, and application in cardiac
electrophysiology (plenary), 42nd SPEEDUP Workshop on High-Performance Computing, Villigen,
Switzerland August 2013

[15] Parallel-in-time integration in high-performance computing (plenary) High Performance Computing
in Science and Engineering, HPCSE 2013, Ostrava

[16] Patching adaptivity for large scale problems - a new lightweight adaptive scheme and its application
in computational electrocardiology MAFELAP 2013, London, Minisymposium on “Large Scale
Computing” (U. Rüde)

[17] A Parallel Approach to Interface Description and Handling USNCCM 2013, Raleigh, Minisymposium
Computational Modeling of Embedded and Contact Interfaces (Laursen, Wriggers, Puso)

[18] Simulating the periodontal ligament: modeling, efficient simulation, and validation (with M. Favino),
ECCOMAS 2012, Vienna, September 2012, Minisymposium on Computational biomechanics

[19] Nonlinear Decomposition and Multilevel Strategies for Nonconvex minimization, ISMP 2012, Berlin,
Minisymposium on Nonlinear Programming (organized by M. Kocvara), August 2012

[20] Inherently parallel solution methods for problems in nonlinear biomechanics, Invited speaker: Workshop
on "Efficient Solvers in Biomedical Applications", July 2-5, 2012 in Graz-MariaTrost

[21] A posteriori error estimators for contact problems (with M. Walloth and A. Veeser), Euromech
Colloquium on Contact Problems, Corsica, March 2012

[22] Series of talks on nonsmooth minimization and multilevel methods, PhD course on Non-smooth
Analysis and Multilevel Methods, University of Copenhagen, (organized by K. Erleben)

[23] Dealing with Interfacial Constraints: Space-Time Connecting Discretization Schemes for Dynamic
Contact Problems and the Handling of Dirichlet Values Keynote talk, 11th US National Congress
on Computational Mechanics, Minneapolis, 2011, Minisymposium on Computational Modeling of
Embedded and Contact Interfaces

[24] Discretization and solution methods for dynamic contact problems Euromech Colloquium 516, Nonsmooth
Contact and Impact Laws in Mechanics, Grenoble, July 2011

[25] Bridging Dimensions and Scales - Coupling Strategies for Heterogeneous Models 10th US National
Congress on Computational Mechanics, Minneapolis, 2011 Keynote talk, IV European Conference
on Computational Mechanics, 2010, Minisymposium on Preconditioned iterative methods for
mechanical contact problems

[26] On Scales, Energy, and Mechanics — Parallel Solution Methods for Strongly Non-linear Problems
Plenary Talk, Ninth European MultiGrid Conference EMG 2008, Bad Herrenalb

[27] On the Multiscale Solution of Constrained Minimization Problems Plenary Talk, 17. International
Conference on Domain Decomposition Methods, Strobl, Austria, July 2006

[28] Four talks on ‘Frictional contact problems in linear elasticity and their efficient numerical solution’
10.10.2004–16.10.2004, Oberwolfach Seminar „Variational Inequalities - Analysis, Simulation and
Application“,

[29] Numerical Simulation in Biomechanics - A Flexible Multiscale Approach Minisymposium Computational
methods in virtual and computer planned surgery at the ECCOMAS 2008, Venice

[30] Parallel Solution Methods for Dynamic Contact Problems; Minisymposium Contact Mechanics:
Analysis, Modelling and Applications WCCM 2008, Venice

[31] 18. Int. Conference on DomainDecomposition Methods, 2008, Jerusalem: A Multiscale Approach
for Convex and Non-convex Constrained Minimization (C. Gross and R. Krause)

[32] 18. Int. Conference on DomainDecomposition Methods, 2008, Jerusalem: Efficient simulation of
multi-body contact problems on complex geometries (T. Dickopf and R. Krause)

[33] Information Transfer between non-matching meshes - concepts and implementation R. Krause, Tetrahedron
II, 2nd workshop on grid generation, Les Chesnay, INRIA

[34] A weak multiscale coupling approach K. Fackeldey, R. Krause, M. A. Schweitzer, Meshless Methods,Bonn, 2007.

[35] Nonsmooth decomposition methods for frictional contact problems in elasticity R. Krause, Chemnitzer
FEM-Symposium, 2007

[36] Nichtglatte Schwarzmethoden für restringierte Minimierungsprobleme, R. Krause, 17. September
2007 NIC-Seminar am John von Neumann Institut, Jülich

[37] Pointwise constraints in space and time - on the stability and numerical robustness of pointwise
constraints for stationary and dynamic problems in elasticity, R. Krause, ENUMATH, Graz, 2007

[38] Non–smooth decomposition methods for strongly local nonlinearities, R. Krause, USACM, San Francisco,
2007

[39] Efficient solution of non–smooth systems in biomechanics, R. Krause, ICIAM, Zürich, 2007

[40] Contact in joints: On the stability of multi-level solution methods for biphasic materials, S. Berrenberg,
R. Krause, ICIAM, Zürich, 2007

[41] A stable coupling approach for multiscale simulation K. Fackeldey, R. Krause, ICIAM, Zürich, 2007

[42] Robust implicit solution method for dynamic contact problems R. Krause, P. Deuflhard and S. Ertel,
Seventh World Congress on Computational Mechanics, July 2006, Los Angeles

[43] Localization techniques for time dependent contact problems, R. Krause, MAFELAP, 2006, London,

[44] A new stabilized implicit newmark scheme for dynamic contact problems R. Krause, P. Deuflhard
and S. Ertel, GAMM 2006, March 2006, Berlin

[45] Effiziente Diskretisierungs- und Lösungsmethoden für Kontaktprobleme oder Braucht ihr Knie einen
Mathematiker? R. Krause, January 2005, Dresdner Mathematisches Seminar, Dresden

Publications

Selected

[1] Stefan Schuss, Maik Dittmann, Simon Eugster, Marco Favino, Rolf Krause, and

Christian Hesch. Variational Space-Time Elements for Large-Scale Systems.

Computer Methods in Applied Mechanics and Engeneering, 2017. accepted for

publication.

[2] R. Krause, A. Rigazzi, and J. Steiner. A parallel multigrid method for constrained

minimization problems and its application to friction, contact, and obstacle

problems. Computing and Visualization in Science, 2015.

[3] Rolf Krause and Patrick Zulian. A Parallel Approach to the Variational Transfer

of Discrete Fields between Arbitrarily Distributed Unstructured Finite Element

Meshes. SIAM Journal on Scientific Computing, 38(3):C307–C333, January

2016.

[4] C. Groß and Rolf Krause. On the convergence of recursive Trust–Region methods

for multiscale non-linear optimization and applications to non-linear mechanics.

SIAM Journal on Numerical Analysis, 47(4):3044–3069, 2009.

[5] T. Dickopf and Rolf Krause. Efficient simulation of multi-body contact problems

on complex geometries: A flexible decomposition approach using constrained

minimization. International Journal for Numerical Methods in Engineering,

77(13):1834–1862, 2009.

Recent Work

[1] Quaglino, A. and Krause, R. kfem: Adaptive meshfree finite-element

methods using local kernels on arbitrary subdomains. International Journal for

Numerical Methods in Engineering, 2018. nme.5755.

[2] Maffessanti, F., Wanten, J., Potse, M., Regoli, F., Caputo,

1. L., Conte, G., S¨urder, D., Illner, A., Krause, R., Moccetti,

T., Auricchio, A., and Prinzen, F. W. The relation between local repolarization

and T-wave morphology in heart failure patients. International

Journal of Cardiology, 241:270–276, August 2017.

[3] Maffessanti, F., Wanten, J., Potse, M., Regoli, F., Caputo,

1. L., Conte, G., S¨urder, D., Illner, A., Krause, R., Moccetti,

T., Auricchio, A., and Prinzen, F. W. The relation between local repolarization

and T-wave morphology in heart failure patients. International

Journal of Cardiology, 241:270–276, Aug 2017.

[4] S´anchez, C., D’Ambrosio, G., Maffessanti, F., Caiani, E. G.,

Prinzen, F. W., Krause, R., Auricchio, A., and Potse, M. Sensitivity

analysis of ventricular activation and electrocardiogram in tailored models

of heart-failure patients. Med. Biol. Eng. Comput., pages 1–14, Aug 2017.

[5] Hunziker, J., Favino, M., Caspari, E., Quintal, B., Rubino, J.,

Krause, R., and Holliger, K. Seismic attenuation and sti↵ness modulus

dispersion in porous rocks containing stochastic fracture networks. Journal of

Geophysical Research - Solid Earth, 2017.

[6] Nguyˆen, U., Maffessanti, F., Mafi-Rad, M., Conte, G., Zeemering,

S., Regoli, F., Caputo, M., van, A. S., Bekkers, S., Suerder,

D., Moccetti, T., Krause, R., Prinzen, F., Vernooy, K., and Auricchio,

1. Evaluation of the use of unipolar voltage amplitudes for detection

of myocardial scar assessed by cardiac magnetic resonance imaging in heart

failure patients. PLoS One, 12(7):e0180637, 2017.

[7] Quaglino, A., Pezzuto, S., Koutsourelakis, P.-S., Auricchio, A.,

and Krause, R. Uncertainty quantification in cardiac electrophysiology:

fast patient-specific methods for clinical practitioners. International Journal

for Numerical Methods in Biomedical Engineering, 2017. under review.

[8] Schuss, S., Dittmann, M., Eugster, S., Favino, M., Krause, R.,

and Hesch, C. Variational Space-Time Elements for Large-Scale Systems.

Computer Methods in Applied Mechanics and Engeneering, 2017. accepted

for publication.

[9] Li, X., Benedusi, P., and Krause, R. An Iterative Approach for Time Integration

Based on Discontinuous Galerkin Methods. arXiv:1610.01324 [math],

October 2016.

[10] Favino Marco M, Pozzi Sonia S, Pezzuto Simone S, Prinzen Frits

W FW, Auricchio Angelo A, and Krause Rolf R. Impact of mechanical

deformation on pseudo-ECG: a simulation study. Europace, 18(suppl

4):iv77–iv84, 2016.

[11] Grasedyck, L., L¨obbert, Christian, Wittum, G., Na¨agel, A.,

Schulz, V., Siebenborn, M., Krause, R., K¨uster, U., and Dick,

1. Space and time parallel multigrid for optimization and uncertainty quantification

in pde simulations. In Bungartz, H.-J., Neumann, P., and

Nagel, W. E., editors, Software for Exascale Computing - SPPEXA 2013-

2015, volume 113 of Lecture Notes in Computational Science and Engineering,

pages 507–523, Cham, 2016. Springer International Publishing.

[12] Quaglino, A. and Krause, R. Towards a multigrid method for the

minimum-cost flow problem. arXiv preprint, 2016.

[13] Krause, Rolf, M¨uller, Benjamin, and Starke, Gerhard. An Adaptive

Least-Squares Finite Element Method for the Signorini Problem. Numerical

Methods for Partial Di↵erential Equations, 2015.

Peer Reviewed Publications in Journals

[1] Quaglino, A., Favino, M., and Krause, R. Quasi-quadratic elements

for nonlinear compressible and incompressible elasticity. Computational Mechanics,

Oct 2017.

[2] Maffessanti, F., Wanten, J., Potse, M., Regoli, F., Caputo,

1. L., Conte, G., S¨urder, D., Illner, A., Krause, R., Moccetti,

T., Auricchio, A., and Prinzen, F. W. The relation between local repolarization

and T-wave morphology in heart failure patients. International

Journal of Cardiology, 241:270–276, August 2017.

[3] Bilgen, C., Kopanicakova, A., Krause, R., and Weinberg, K. A

phase-field approach to pneumatic fracture. PAMM, May 2017.

[4] Hunziker, J., Favino, M., Caspari, E., Quintal, B., Rubino, J.,

Krause, R., and Holliger, K. Seismic attenuation and sti↵ness modulus

dispersion in porous rocks containing stochastic fracture networks. Journal of

Geophysical Research - Solid Earth, 2017.

[5] Kreienbuehl, A., Benedusi, P., Ruprecht, D., and Krause, R. Time

parallel gravitational collapse simulation. Communications in Applied Mathematics

and Computational Science, 2017. to appear.

[6] Maffessanti, F., Prinzen, F., Krause, R., and Auricchio, A. Integrated

assessment of left ventricular electrical activation and myocardial strain

mapping in heart failure patients: a holistic diagnostic approach for endocardial

cardiac resynchronization therapy, ablation of ventricular tachycardia

and biological therapy. JACC Clinical Electrophysiology, 2017. accepted for

publication.

[7] Magistrato, Alessandra, M., Sgrignani, J., Krause, R., and Cavalli,

1. Single or Multiple Access Channels to the CYP450s Active Site? an

Answer from Free Energy Simulations of the Human Aromatase Enzyme. The

Journal of Physical Chemistry Letters, 2017.

[8] Schuss, S., Dittmann, M., Eugster, S., Favino, M., Krause, R.,

and Hesch, C. Variational Space-Time Elements for Large-Scale Systems.

Computer Methods in Applied Mechanics and Engeneering, 2017. accepted

for publication.

[9] Byshkin, M., Stivala, A., Mira, A., Krause, R., Robins, G., and

Lomi, A. Auxiliary Parameter MCMC for Exponential Random Graph Models.

Journal of Statistical Physics, 165(4):740–754, November 2016.

[10] Arbenz, P., Grigori, L., Krause, R., and Schenk, O. Special issue on

Parallel Matrix Algorithms and Applications. Parallel Computing, 57(C):135–

136, September 2016.

[11] Krause, R. and Zulian, P. A Parallel Approach to the Variational Transfer

of Discrete Fields between Arbitrarily Distributed Unstructured Finite Element

Meshes. SIAM Journal on Scientific Computing, 38(3):C307–C333, January

2016.

[12] Favino Marco M, Pozzi Sonia S, Pezzuto Simone S, Prinzen Frits

W FW, Auricchio Angelo A, and Krause Rolf R. Impact of mechanical

deformation on pseudo-ECG: a simulation study. Europace, 18(suppl

4):iv77–iv84, 2016.

[13] Grasedyck, L., L¨obbert, Christian, Wittum, G., Na¨agel, A.,

Schulz, V., Siebenborn, M., Krause, R., K¨uster, U., and Dick,

1. Space and time parallel multigrid for optimization and uncertainty quantification

in pde simulations. In Bungartz, H.-J., Neumann, P., and

Nagel, W. E., editors, Software for Exascale Computing - SPPEXA 2013-

2015, volume 113 of Lecture Notes in Computational Science and Engineering,

pages 507–523, Cham, 2016. Springer International Publishing.

[14] Keilig, Ludger, Drolshagen, M., Tran, K. L., Hasan, I., Reimann,

Susanne, Deschner, J., Brinkmann, K. T., Krause, Rolf, Favino,

Marco, and Bourauel, Christoph. In vivo measurements and numerical

analysis of the biomechanical characteristics of the human periodontal

ligament. Annals of anatomy, 206:80–8, 2016.

[15] Land, S., Gurev, V., Arens, S., Augustin, C. M., Baron, L., Blake,

R., Bradley, C., Castro, S., Crozier, A., Favino, M., Fastl, T. E.,

Fritz, T., Gao, H., Gizzi, A., Griffith, B. E., Hurtado, D. E.,

Krause, R., Luo, X., Nash, M. P., Pezzuto, S., Plank, G., Rossi,

S., Ruprecht, D., Seemann, G., Smith, N. P., Sundnes, J., Rice,

1. J., Trayanova, N., Wang, D., Jenny Wang, Z., and Niederer,
2. A. Verification of cardiac mechanics software: benchmark problems and

solutions for testing active and passive material behaviour. Proceedings of the

Royal Society of London A: Mathematical, Physical and Engineering Sciences,

471(2184), December 2015.

[16] Sgrignani, J., Olsson, S., Ekonomiuk, D., Genini, D., Krause, R.,

Catapano, C. V., and Cavalli, A. Molecular Determinants for Unphosphorylated

STAT3 Dimerization Determined by Integrative Modeling. Biochemistry,

54(35):5489–5501, September 2015.

[17] Kreienbuehl, A., Naegel, A., Ruprecht, D., Speck, R., Wittum,

G., and Krause, R. Numerical simulation of skin transport using Parareal.

Computing and Visualization in Science, 17(2):99–108, April 2015.

[18] Gottschalk, H., Schmitz, S., Seibel, T., Rollmann, G., Krause,

R., and Beck, T. Probabilistic Schmid factors and scatter of low cycle fatigue

(LCF) life: Probabilistischer Schmid-Faktor und Streuband der Lebensdauer

bei niedrigen Lastspielzahlen (LCF). Materialwissenschaft und Werksto↵

technik, 46(2):156–164, February 2015.

[19] Favino, M., Bourauel, C., and Krause, R. A non-linear poroelastic

model of the periodontal ligament. International Journal of Computational

Methods in Engineering Science and Mechanics, Special Issue on Computational

Multi-Scale Methods for Tissue Biomechanics, 2015.

[20] Krause, D., Dickopf, T., Potse, M., and Krause, R. Towards a

large-scale scalable adaptive heart model using shallow tree meshes. Journal of

Computational Physics, 2015. http://dx.doi.org/10.1016/j.jcp.2015.05.005.

[21] Krause, D. and Krause, R. Enabling local time stepping for reactiondi↵

usion equations via space-time finite elements on shallow tree meshes. Applied

Mathematics and Computation, 2015.

[22] Krause, R., Rigazzi, A., and Steiner, J. A parallel multigrid method

for constrained minimization problems and its application to friction, contact,

and obstacle problems. Computing and Visualization in Science, 2015.

[23] Krause, Rolf, M¨uller, Benjamin, and Starke, Gerhard. An Adaptive

Least-Squares Finite Element Method for the Signorini Problem. Numerical

Methods for Partial Di↵erential Equations, 2015.

[24] Kroon, W., Lumens, J., Potse, M., Suerder, D., Klersy, C., Regoli,

F., Murzilli, R., Moccetti, T., Delhaas, T., Krause, R.,

Prinzen, F. W., , and Auricchio, A. In-vivo electromechanical assessment

of heart failure patients with prolonged QRS duration. Heart Rhythm,

2015.

[25] Nguyen, U. C., Potse, M., Regoli, F., Caputo, M. L., Conte,

G., Murzilli, R., Muzzarelli, S., Moccetti, T., Prinzen, F. W.,

Krause, R., , and Auricchio., A. An in-silico analysis of the e↵ect of

heart position and orientation on the ecg morphology and vectorcardiogram parameters

in patients with heart failure and intraventricular conduction defects.

2015. Electrocardiol., 48:617–625, 2015.

[26] Krause, R., Veeser, A., and Walloth, M. Efficient and reliable

residual-type a posteriori error estimator for the Signorini problem. Numerische

Mathematik, (2012-02), July 2014.

[27] Arteaga, A., Ruprecht, D., and Krause, R. A stencil-based implementation

of parareal in the C++ domain specific embedded language STELLA.

Applied Mathematics and Computation, 2014.

[28] Conen, L., Dolean, V., Krause, R., and Nataf, F. A coarse space for

heterogeneous Helmholtz problems based on the Dirichlet-to-Neumann operator.

2014. Comput. Appl. Math., 271(0):83 – 99, 2014.

[29] Conen, L. and Krause, R. Addendum to “A coarse space for heterogeneous

Helmholtz problems based on the Dirichlet-to-Neumann operator”.

Journal of Computational and Applied Mathematics, 271:83–99, 2014.

[30] Dickopf, T., Krause, D., Krause, R., and Potse, M. Analysis of

a lightweight parallel adaptive scheme for the solution of the monodomain

equation. SIAM Journal on Scientific Computing, 36(2):163–189, 2014.

[31] Dickopf, T. and Krause, R. Evaluating local approximations of the L2-

orthogonal projection between non-nested finite element spaces. Numerical

Mathematics: Theory, Methods, and Applications, 7(3):288–316, 2014.

[32] Krause, D., Fackeldey, K., and Krause, R. A parallel multiscale

simulation toolbox for coupling molecular dynamics and finite elements. In

Griebel, M., editor, Singular Phenomena and Scaling in Mathematical Models,

pages 327–346. Springer International Publishing, 2014.

[33] Potse, M., Krause, D., Kroon, W., Murzilli, R., Muzzarelli, S.,

Regoli, F., Caiani, E., Prinzen, F. W., Krause, R., and Auricchio,

1. Patient-specific modelling of cardiac electrophysiology in heart-failure patients.

Europace, 16(11):iv56–iv61, 2014. doi: 10.1093/europace/euu257.

[34] Speck, R., Ruprecht, D., Emmett, M., Minion, M., Bolten, M.,

and Krause, R. A multi-level spectral deferred correction method. BITN,

2014.

[35] Favino, M., Gross, C., Drolshagen, M., Keilig, L., Deschner, J.,

Bourauel, C., and Krause, R. Validation of a heterogeneous elasticbiphasic

model for the numerical simulation of the PDL. Computer Methods

in Biomechanics and Biomedical Engineering, 16(5):544–553, January 2013.

[36] Baginski, F., Croce, R., Gillmor, S., and Krause, R. Numerical

investigations of the role of curvature in strong segregation problems on a

given surface. Applied Mathematics and Computation, 2013.

[37] Schmitz, S., Seibel, T., Beck, T., Rollmann, G., Krause, R., and

Gottschalk, H. A probabilistic model for LCF. Computational Materials

Science, 79:584–590, 2013.

[38] Winkel, M., Speck, R., H¨ubner, H., Arnold, L., Krause, R., and

Gibbon, P. A massively parallel, multi-disciplinary Barnes-Hut tree code

for extreme-scale N-body simulations. Computer Physics Communications,

183(4):880–889, April 2012.

[39] Badea, L. and Krause, R. One- and two-level multiplicative Schwarz

methods for variational and quasi-variational inequalities of the second kind.

Numerische Mathematik, 120(4):573/599, 2012.

[40] Krause, R. and Walloth, M. Presentation and comparison of selected

algorithms for dynamic contact based on the Newmark scheme. Applied Numerical

Mathematics, 62:1393–1410, 2012.

[41] Potse, M., Krause, D., Bacharova, L., Krause, R., Prinzen,

1. W., and Auricchio, A. Similarities and di↵erences between electrocardiogram

signs of left bundle-branch block and left-ventricular uncoupling.

Europace, 14(suppl 5):v33–v39, 2012.

[42] Ruprecht, D. and Krause, R. Explicit Parallel-in-time Integration of a

Linear Acoustic-Advection System. Computers & Fluids, 59:72–83, 2012.

[43] Speck, R., Ruprecht, D., Krause, R., Emmet, M., Minion, M.,

Winkel, M., and Gibbon, P. A massively space-time parallel N-body

solver. In Proceedings of the Supercomputing Conference 2012, Salt Lake

City, Salt Lake City, USA, 2012. (SC 12 has a 20% acceptance rate).

[44] Drolshagen, M., Keilig, L., Hasan, I., Reimann, S., Deschner, J.,

Brinkmann, K., Krause, R., Favino, M., and Bourauel, C. Development

of a novel intraoral measurement device to determine the biomechanical

characteristics of the human periodontal ligament. Journal of Biomechanics,

44(11), July 2011.

[45] Bacharova, L., Mateasnik, A., Krause, R., Prinzen, F., Auricchio,

A., and Potse, M. The e↵ect of reduced intercellular coupling on

electrocardiographic signs of left ventricular hypertrophy. Journal of Electrocardiology,

44(5):571–576, 2011.

[46] Fackeldey, K., Krause, D., Krause, R., and Lenzen, C. Coupling

molecular dynamics and continua with weak constraints. SIAM Journal on

Multiscale Modeling & Simulation, 9(4):1459–1494, 2011.

[47] Krause, R. and Walloth, M. A family of space-time connecting

discretization schemes for elastodynamic contact problems with local impact

detection. International Journal for Numerical Methods in Engineering,

200:3425–3438, 2011.

[48] Papadopoulou, K., Keilig, L., Eliades, T., Krause, R., J¨ager, A.,

and Bourauel, C. The time-dependent biomechanical behaviour of the

periodontal ligamentan in vitro experimental study in minipig mandibular tworooted

premolars. European Journal of Orthodontics, 2011. First published

online November 22, 2011.

[49] Krause, R. and Walloth, M. A time discretization scheme based on

Rothe’s method for dynamical contact problems with friction. Computer Methods

in Applied Mechanics and Engineering, 199:1–19, December 2009.

[50] Krause, R. and Mohr, C. Level set based multi-scale methods for large

deformation contact problems. Applied Numerical Mathematics, 61(4):428–

442, April 2009.

[51] Dickopf, T. and Krause, R. Efficient simulation of multi-body contact

problems on complex geometries: A flexible decomposition approach using

constrained minimization. International Journal for Numerical Methods in Engineering,

77(13):1834–1862, 2009.

[52] Fackeldey, K. and Krause, R. Multiscale coupling in function space

- weak coupling between molecular dynamics and continuum mechanics. International

Journal for Numerical Methods in Engineering, 79(12):1517–1535,

2009.

[53] Groß, C. and Krause, R. On the convergence of recursive Trust–Region

methods for multiscale non-linear optimization and applications to non-linear

mechanics. SIAM Journal on Numerical Analysis, 47(4):3044–3069, 2009.

[54] Krause, R. A non-smooth multiscale method for solving frictional two-body

contact problems in 2d and 3d with multigrid efficiency. SIAM Journal on

Scientific Computing, 31(2):1399–1423, 2009.

[55] Deuflhard, P., Krause, R., and Ertel, S. A contact–stabilized Newmark

method for dynamical contact problems. International Journal for Numerical

Methods in Engineering, 73(9):1274 – 1290, 2008.

[56] Kornhuber, R., Krause, R., Sander, O., Deuflhard, P., and Ertel,

1. A monotone multigrid solver for two body contact problems in biomechanics.

Computing and Visualization in Science, 11(1):3–15, 2008.

[57] Krause, R. On the multiscale solution of constrained minimization problems.

In Proceedings of the 17th International. Conference on Domain Decomposition

Methods, 2007.

[58] Kornhuber, R. and Krause, R. Robust multigrid methods for vectorvalued

Allen–Cahn equations with logarithmic free energy. Computing and

Visualization in Science, 9(2):103–116, 2006.

[59] Krause, R. From inexact active set strategies to nonlinear multigrid methods,

volume 27 of Lecture Notes in Applied and Computational Mechanics, pages

13–21. Springer, 2006.

[60] Krause, R. and Sander, O. Automatic construction of boundary

parametrizations for geometric multigrid solvers. Computing and Visualization

in Science, 9(1):11–22, 2006.

[61] Krause, R. and Oliver, S. Fast solving of contact problems on complicated

geometries. In Kornhuber, R. e. a., editor, Domain Decomposition

Methods in Science and Engineering, volume 40 of Lecture Notes in Computational

Science and Engineering, pages 495–502. Springer, Berlin, 2005.

[62] Krause, R. and Kornhuber, R. On multigrid methods for vector-valued

Allen-Cahn equations. In Proceedings of the fourteenth international conference

on domain decomposition methods, 2003.

[63] Krause, R. and Wohlmuth, B. Monotone methods on nonmatching

grids for nonlinear contact problems. SIAM Journal on Scientific Computing,

25(1):324–347, 2003.

[64] Krause, R. and Wolmuth, B. A Dirichlet-Neumann type algorithm

for contact problems with friction. Computing and Visualization in Science,

5(3):139–148, 2002.

[65] Kornhuber, R. and Krause, R. Adaptive multigrid methods for Signorini’s

problem in linear elasticity. Computing and Visualization in Science,

4:9–20, 2001.

[66] Krause, R. and Wohlmuth, B. Domain decomposition methods on nonmatching

grids and some applications to linear elasticity problems. Z. Angew.

Math. Mech., 81(1):21–24, 2001.

[67] Krause, R. and Wohlmuth, B. A multigrid method based on the unconstrained

product space arising from mortar finite element discretizations.

SIAM Journal on Numerical Analysis, 39(1):192–213, 2001.

[68] Krause, R. and Wohlmuth, B. Nonconforming domain decomposition

methods techniques for linear elasticity. East–West Journal of Numerical Mathematics,

8(3):177–206, 2000.

Peer Reviewed Publications in Series and Proceedings

[69] Arbenz, P., Grigori, L., Krause, R., and Schenk, O. Special issue on

Parallel Matrix Algorithms and Applications. Parallel Computing, 57(C):135–

136, September 2016.

[70] Benedusi, P., Hupp, D., Arbenz, P., and Krause, R. A Parallel Multigrid

Solver for Time-Periodic Incompressible NavierStokes Equations in 3d. In

Numerical Mathematics and Advanced Applications ENUMATH 2015, Ankara,

Turkey, 2016. Springer. bibtex: benedusi parallel 2016.

[71] Grasedyck, L., L¨obbert, Christian, Wittum, G., Na¨agel, A.,

Schulz, V., Siebenborn, M., Krause, R., K¨uster, U., and Dick,

1. Space and time parallel multigrid for optimization and uncertainty quantification

in pde simulations. In Bungartz, H.-J., Neumann, P., and

Nagel, W. E., editors, Software for Exascale Computing - SPPEXA 2013-

2015, volume 113 of Lecture Notes in Computational Science and Engineering,

pages 507–523, Cham, 2016. Springer International Publishing.

[72] Kotas, Petr, Croce, Roberto, Poletti, Valentina, Vondrak,

Vit, and Krause, Rolf. A Massive Parallel Fast Marching Method.

In Dickopf, Thomas, Gander, Martin J., Halpern, Laurence,

Krause, Rolf, and Pavarino, Luca F., editors, DD XXII, Lecture Notes

in Science and Engineering, 2016.

[73] Ruprecht, D., Speck, R., and Krause, R. Parareal for di↵usion problems

with space- and time-dependent coefficients. In Dickopf, Thomas,

Gander, Martin J., Halpern, Laurence, Krause, Rolf, and

Pavarino, Luca F., editors, DD XXII, volume 104, 2016.

[74] Krause, Rolf, Krause, Dorian, Favino, Marco, and Ruprecht,

Daniel. Parallel Methods in Cardiac Simulation – from lightweight adaptivity

to Coupled Models. In P., N. and Budyn, E., editors, 4th International

Conference on Computational and Mathematical Biomedical Engineering

- CMBE2015, July 2015.

[75] Speck, R., Ruprecht, D., Minion, M., Emmett, M., and Krause,

1. Inexact spectral deferred corrections. In Domain Decomposition Methods

in Science and Engineering XXII, Lecture Notes in Computational Science and

Engineering, 2015.

[76] Steiner, J., Ruprecht, D., Speck, R., and Krause, R. Convergence

of parareal for the Navier-Stokes equations depending on the Reynolds number.

In Lecture Notes in Computational Science and Engineering, volume 103, pages

195–202. Springer, 2015.

[77] Speck, R., Ruprecht, D., Emmett, M., Bolten, M., and Krause,

1. A space-time parallel solver for the three-dimensional heat equation. In Parallel

Computing: Accelerating Computational Science and Engineering (CSE),

volume 25 of Advances in Parallel Computing, pages 263 – 272. IOS Press,

2014.

[78] Schmitz, S., Rollmann, G., Gottschalk, H., and Krause, R. Probabilistic

Analysis of LCF Crack Initiation Life of a Turbine Blade under Thermomechanical

Loading. In Proceedings of the Seventh International Conference

on Low Cycle Fatigue, September 2013. Aachen, Germany.

[79] Croce, R., Ruprecht, D., and Krause, R. Parallel-in-space-and-time

simulation of the three-dimensional, unsteady Navier-Stokes equations for incompressible

flow. In Bock, H.-G., Phu, H. X., Rannacher, R., and

Schloeder, J., editors, Modeling, Simulation and Optimization of Complex

Processes, Proceedings of the Fifth International Conference on High Performance

Scientific Computing, March 5-9, 2012, Hanoi, Vietnam. Springer,

2013.

[80] Dickopf, T. and Krause, R. The influence of boundary approximation

on transfer operators between non-nested meshes. Proceedings in Applied

Mathematics and Mechanics, 13(1):545–548, 2013.

[81] Dickopf, T. and Krause, R. Monotone Multigrid Methods Based on

Parametric Finite Elements. In Domain Decomposition Methods in Science

and Engineering XX, Lecture Notes in Science and Engineering, pages 321–

328. Springer Berlin Heidelberg, 2013.

[82] Dickopf, T. and Krause, R. Numerical study of the almost nested case

in a multilevel method based on non-nested meshes. In al, R. B. e., editor,

Domain Decomposition Methods in Science and Engineering XX, volume 91

of Lecture Notes in Computational Science and Engineering, pages 551–558,

Berlin, 2013. Springer.

[83] Groß, C., Krause, R., and Poletti, V. A numerical remark on the

time discretization of contact problems in nonlinear elasticity. In Cangiani,

A., Davidchack, R. L., Georgoulis, E., Gorban, A. N., Levesley,

J., and Tretyakov, M. V., editors, Numerical Mathematics and Advanced

Applications 2011, pages 165–173. Springer Berlin Heidelberg, 2013.

[84] Favino, M., Krause, R., and Steiner, J. An efficient preconditioning

strategy for Schur complements arising from biphasic models. In Biomedical

Engineering / 765: Telehealth / 766: Assistive Technologies, 2012.

[85] Favino, M., Krause, R., and Steiner, J. Heterogeneous coupling: A

comparison of two approaches for the modeling of thin structures. In Proceedings

of the Ninth IASTED International Conference on Biomedical Engineering

(BioMed 2012), 2012.

[86] Krause, D., Potse, M., Dickopf, T., Krause, R., Auricchio, A.,

and Prinzen, F. Hybrid parallelization of a large-scale heart model. In

Keller, R., Kramer, D., and Weiss, J.-P., editors, Facing the Multicore

- Challenge II, volume 7174 of Lecture Notes in Computer Science, pages 120–

132. Springer Berlin Heidelberg, 2012. Available as ICS Preprint 2011-04.

[87] Krause, R. and Ruprecht, D. Hybrid space-time parallel solution of

Burger’s equation. 2012. Proceedings of the 21st International Conference on

Domain Decomposition Methods.

[88] Speck, R., Ruprecht, D., Krause, R., Emmett, M., Minion, M.,

Winkel, M., and Gibbon., P. Integrating an N-body problem with SDC

and PFASST. 2012. Proceedings of the 21st International Conference on

Domain Decomposition Methods.

[89] Speck, R., Krause, R., and Gibbon, P. Parallel remeshing in tree codes

for vortex particle methods. In Bosschere, K. D., D’Hollander, E. H.,

Joubert, G. R., Padua, D., Peters, F., and Sawyer, M., editors,

Applications, Tools and Techniques on the Road to Exascale Computing, volume

22 of Advances in Parallel Computing, Gent, Belgium, 2012.

[90] Fackeldey, K., Krause, D., and Krause, R. Numerical validation

of a constraints-based multiscale simulation method for solids. In Meshfree

Methods for Partial Di↵erential Equations V, number 79 in Lecture Notes in

Computational Science and Engineering, pages 141–154, 2011.

[91] Krause, D. and Krause, R. Parallel scale-transfer in multiscale MD-FE

coupling using remote memory access. In e-Science Workshops, pages 66–73,

2011.

[92] Krause, D., Potse, M., Dickopf, T., Krause, R., Auricchio, A.,

and Prinzen, W. F. Poster: hybrid parallelization of a realistic heart model.

In SC Companion, pages 13–14, 2011.

[93] Dickopf, T. and Krause, R. Weak information transfer between nonmatching

warped interfaces. In Domain Decomposition Methods in Science

and Engineering XVIII, volume 70 of Lecture Notes in Computational Science

and Engineering, pages 283–290. 09 2009.

[94] Groß, C. and Krause, R. A recursive trust–region method for non-convex

constrained minimization. In Domain Decomposition Methods in Science and

Engineering XVIII, volume XVI of Lecture Notes in Computational Science and

Engineering, pages 137–144, 09 2009.

[95] Groß, C., Krause, R., and Walloth, M. Nonlinear decomposition

methods in elastodynamics. In Kreiss, G., L¨otstedt, P., Malqvist,

A., and Neytcheva, M., editors, Numerical Mathematics and Advanced

Applications 2009, number 2009-06, 11 2009. Proceedings of Enumath 2009.

[96] Konstantin Fackeldey, D. K. and Krause, R. Weak coupling algorithms

in multiscale simulations. In Proceedings of the third Inter. Confer. on

Comp. Meth. for Coupled Problems in Science and Engrg., 2009. Available as

ICS Preprint 2009-02.

[97] Berrenberg, S., Groß, C., and Krause, R. Numerical simulation in

biomechanics: A flexible approach. In 8th World Congress on Computational

Mechanics and 5th European Congress on Computational Methods in Applied

Sciences and Engineering, 07 2008.

[98] Fackeldey, K. and Krause, R. CM/MD coupling - a function space

oriented multiscale-coupling approach. PAMM, 8(1):10495, 2008.

[99] Fackeldey, K., Krause, R., and Schweitzer, M. Stability of energy

transfer in the weak coupling method. In Meshfree Methods for Partial Differential

Equations IV, volume 79 of Lecture Notes in Computational Science

and Engineering, pages 111–119, 2008.

[100] Fackeldey, K. and Krause, R. Solving frictional contact problems with

multigrid efficiency. In Proc.of the 16th International Conference on Domain

Decomposition Methods, volume 55 of Lecture Notes in Computational Science

and Engineering, pages 547–554, 2005.

[101] Krause, R. and Wolmuth, B. Multigrid methods for mortar finite elements.

1. Dick, K. Riemslagh, J. Vierendeels (Eds.) Multigrid Methods VI,

Lecture Notes in Computational Science and Engeneering Springer, Berlin-

Heidelberg-New York, 14:136–142, 2000.

[102] Bornemann, F. A. and Krause, R. Classical and cascadic multigrid - a

methodological comparison. In Proc. 9th Internationall Conference on Domain

Decomposition Methods, Ullensvang, Norway (1996), pages 64–71, 1998.

Book Chapters

[103] Grillo, A., Giverso, C., Favino, M., Krause, R., Lampe, M., and

Wittum, G. Mass transport in porous media with variable mass. In Delgado,

J., Lima, A. G. B., and Silva, M. V., editors, Numerical Analysis

of Heat and Mass Transfer in Porous Media, volume 27 of Advanced Structured

Materials, pages 27–61. Springer Berlin Heidelberg, 2012.

Books

[104] Dickopf, Thomas, Gander, Martin J., Halpern, Laurence,

Krause, Rolf, and Pavarino, Luca F. Domain Decomposition Methods

in Science and Engineering XXII. Lecture Notes in Science and Engineering.

2016.

Proceedings

[105] Peternier, A., De Filippi, M., Pasquali, P., Cantone, A.,

Krause, R., Vitulli, R., Ogushi, F., and Meroni, A. Performance

analysis of GPU-based SAR and Interferometric SAR image processing. In

Proc. of the 4th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR),

September 2012.

[106] Favino, M., Drolshagen, M., Bourauel, C., and Krause, R.

A non-linear biphasic model for the periodontal ligament: Modelling and

simulation. In Proceedings of Computer Methods in Biomechanics and

Biomedical Engineering (CMBBE) 2012, Berlin. ARUP, 2012. Available in

www.cmbbe2012.cf.ac.uk.

[107] Krause, R. and Johannes, S. Cosserat-rods and elastic bodies: On the

numerical simulation of a coupled system. In Middleton, J. and Jacobs,

C., editors, CMBBE2010 : 9th International Symposium on Computer methods

in Biomechanics and Biomedical Engineering, Valencia, Spain, Valencia,

Spain, November 2010. Arup, Solihull.

[108] Groß, C., Krause, R., and Steiner, J. Heterogeneous coupling: A

comparison of two approaches for the modeling of thin structures. PAMM,

10(1):649–650, 2010.

[109] Dickopf, T., Groß, C., Krause, R., Mohr, C., and Steiner, J.

Efficient simulation techniques for heterogeneous models in biomechanics. In

Proceedings of the 8th International Symposium on Computer Methods in

Biomechanics and Biomedical Engineering, 2008.

[110] Fackeldey, K., Krause, D., and Krause, R. Quadrature and implementation

of the weak coupling method. In Proceedings of the fourth Int.

Conf. Multiscale Materials Modeling, pages 62–65, 2008.

[111] Berrenberg, S. and Krause, R. Efficient parallel simulation

of biphasic materials in biomechanics. Sixth International

Congress on Industrial Applied Mathematics (ICIAM07) and GAMM Annual

Meeting, Z¨urich 2007, 7(1):1121101–1121102, December 2007.

http://dx.doi.org/10.1002/pamm.200700901.

[112] Dutz, H., Krause, R., and Raccanelli, A. A finite element model for

the thermal transport in solid targets. In Proceedings of The 17th International

Spin Physics Symposium (SPIN2006), 2007.

[113] Fackeldey, K. and Krause, R. Weak coupling in function space: a

unifying coupling approach for multiscale simulations. In PAMM, volume 7,

pages 2020113 – 2020114, 2007.

[114] Deuflhard, P., Ertel, S., Kornhuber, Krause, R., Sander, R.,

and O. Patient-specific simulation of dynamic stress distribution in the

human knee. Journal of Biomechanics, 39, 2006.

Technical Reports and Preprints

[115] Groß, C. and Krause, R. On the globalization of ASPIN employing

Trust-Region control strategies - convergence analysis and numerical examples.

Technical Report 2011-03, Institute of Computational Science, University

of Lugano. submitted.

[116] R¨ude, U., Willcox, K., McInnes, L. C., Sterck, H. D., Bungartz,

H., Corones, J., Cramer, E., Crowley, J., Ghattas, O., Gunzburger,

M., Hanke, M., Harrison, R., Johnson, P. J. C., Jordan,

K., Keyes, D., Krause, R., Kumar, V., Mayer, S., Meza,

J., Morken, K. M., Oden, J. T., Raghavan, L. P. P., Trefethen,

A., Turner, P., Voevodi, V., Wohlmuth, B., and Woodward, C.

Future Directions in CSE Education and Research Report from a Workshop

Sponsored by the Society for Industrial and Applied Mathematics (SIAM)

and the European Exascale Software Initiative (EESI-2) August 4-6, 2014;

Breckenridge, Colorado. Technical report, SIAM and EESI, 2015.

[117] Beck, T., Gottschalk, H., Krause, R., Rollmann, G., Schmitz,

S., and Seibel, T. Probabilistische Lebensdauerberechnung f¨ur Design bei

extremen Temperaturen. Schlußbericht, Teilverbund Expansion, Vorhabengruppe

4.1 Gas- und Dampfturbinenschaufeln, AG Turbo, 2014.

[118] Marco Favino, Rolf Krause, and Igor Pivkin. A survey on stochastic

multi-scale modeling in biomechanics: computational challenges. Technical

report, Institute of Computational Science, USI, Lugano, Lugano, 2014.

[119] Conen, L., Groß, C., and Krause, R. The linear algebra module in

obslib++ - description, comparisons and numerical results. Technical Report

2010-01, Institute of Computational Science, University of Lugano, 2010.

[120] Groß, C. and Krause, R. Import of geometries and extended informations

into ObsLib++ using the exodus ii and exodus parameter file formats.

INS preprint 0712, Institute for Numerical Simulation, January 2008.

Patent

[121] Raccanelli, A. and Krause, R. Vorrichtung zur Erzeugung eines homogenen

Magnetfelds und Optimierungsverfahren. Technical Report PT 1.2415,

University of Bonn and FZT Juelich, 2008. Patent.

Theses

[122] Krause, R. Monotone Multigrid Methods for Signorini’s Problem with

Friction. PhD thesis, Freie Universit¨at Berlin, Fachbereich Mathematik und

Informatik, 2001.

[123] Krause, R. ¨Uber die Konvergenz des kaskadischen Mehrgitterverfahrens.

Freie Universit¨at Berlin, Fachbereich Mathematik und Informatik, 1996.

Diploma thesis.

Software Libraries

[124] Krause, D. and Krause, R. MACI. A Parallel Multiscale Simulation

Toolbox for Coupling Molecular Dynamics and Finite Elements.

[125] Krause, R., Dickopf, T., and Zulian, P. Cutlib. Efficient parallel

computation of intersections between arbitrarily distributed meshes in 2D

and 3D.

[126] Krause, R., Groß, C., Dickopf, T., Conen, L., Favino, M.,

Steiner, J., Krause, D., and Kothari, H. ObsLib++. An object

oriented multilevel toolbox for solving constrained nonlinear and nonsmooth

minimization problems (realized within the framework of UG).

[127] Zulian, P. and Krause, R. MoonoLith. Massively Parallel Variational

Transfer of Discrete Fields between arbitrarily Distributed Surface and Volume

Meshes.

[128] Pozzi, S., , Favino, M., Nestola, M., Zulian, P., Kopanicakova,

A., and Krause, R. HART - modeling environment for cardiac simulations.

2017.

[129] Pozzi, S., , Favino, M., Nestola, M., Zulian, P., Kopanicakova,

A., and Krause, R. UTOPIA - domain specific language for scientific

computing on hpc machines. 2017.

[130] Schneider, T., Zulian, P., Azadmanesh, M. R., Krause, R., and

Hauswirth, M. Vestige - a visual debugger for geometry based software.

Visual Debugging in Computational Science, 2015.

Media Exposure

[131] Krause, R. Complex Multiphysics in Cardiac Simulation: From Patient

Data via Electro-Mechanical Activation to ECGs, May 2016.

[132] Krause, R. and Marci, G. Ticino della Scienza, March 2016.

[133] Krause, R. Scienze Computazionali - Computational Science at USI, August

2015.

[134] Swiss TV (SF1 10vor10) reports about CSCS and HPCN strategy and the

new Institute of Computational Science at USI, 2009.

 

(Co-) Organized Conferences

Conferences, Colloquia, and Workshops

upcoming Fifth Parallel-in-time IntegrationWorkshop, November 27 - December 2, 2016, Banff, with Dr. M. Emmett,
Prof. .Dr. M. Gander (Université de Genève), Prof. Dr. R. Haynes (Memorial University of
Newfoundland), Prof. Dr. M. Minion (Stanford University)

upcoming PASC 16 Conference, Lausanne, Co-chair for the track "computer science and mathematics" (Chair:
B. Chopard, Uni Lausanne)


• TRM Forum on Computer Simulation and Experimental Assessment of Cardiac Function, December
  2015, Lugano, with Prof. Dr. L. Kappenberger and Prof. Dr. A. Auricchio
  
• Speedup workshop on Fluid Structure Interaction, 10.9./11.9.2015, with P. Arbenz (ETH), , H.
  Burkhart (U Basel), B. Chopard (U Geneva), S. Deparis (EPF Lausanne), A. Janka (EIA Fribourg),
  H. Nordborg (HSR), D. Obrist (U Bern), V. Rezzonico (EPF Lausanne), J. VandeVondele (ETH
  Zurich)
  
• MALT (iMaging And eLectrical Technologies), 30.4/1.5.2015, Lugano, with Prof. Dr. M. Potse and
  Prof. Dr. A. Auricchio
  
• PMAA - Parallel Matrix Algorithms and Applications, July 2–4 2013, Lugano. (with P. Arbenz
  (ETH), O. Schenk (USI))
  
• TRM Forum on Computer Simulation and Experimental Assessment of Cardiac Function, December
  2013, Lugano, with Prof. Dr. L. Kappenberger and Prof. Dr. A. Auricchio
  
• International conference on Domain Decomposition Methods: DD XXII (Main organizer), September
  2013, Lugano
  
• Domain Decomposition Methods for Optimization with PDE-constraints International conference
  (Main organizer Prof. Dr. M. Gander), September 2013, Centro Stefano Franscini
  
• TRM Forum on Computer Simulation and Experimental Assessment of Cardiac Function, December
  4th-7th 2011, Lugano, with Prof. Dr. L. Kappenberger and Prof. Dr. A. Auricchio
  
• Swiss Numerics Colloquium 2011, May 2011, Lugano, with Prof. Dr. M. Parinello, USI/ETH,
  Prof. Dr. I. Horenko, USI
  
• Advances in Computational Science, International workshop, June 2011, Lugano, with M. Parinello,
  USI/ETH, I. Horenko, USI
  

Parallel-in-time Integration Schemes, International Workshop, June 2011, Lugano

Minisymposia (selected)
upcoming Minisymposium on Cardiac Simulation, 7ECM, 2016, Berlin, with M. Weiser (ZIB)


• Minisymposium in Parallel and Advanced Time Integration Methods, PASC 15 Conference, 2015,
  ETH Zurich, with M. Minion (LBNL), M. Grote (U Basel), D. Ruprecht (USI)
  
• Minisymposium in , PASC 15 Conference, 2015, ETH Zurich, with M. Minion (LBNL), M. Grote
  (U Basel), D. Ruprecht (USI)
  
• Minisymposium on Large Scale Solution Methods for Coupled and Non-linear Problems, SIAM,
  Conference on Computational Science and Engineering, Salt-Lake City, 2015
  
• Minisymposium on Modeling and Solver Techniques for Fluid Structure Interaction, PMAA 2014,
  Lugano, with J. Steiner
  
• Minisymposium Space Time Parallel Methods: Algorithms, Implementation and Applications, SIAM
  CSE 2013, Boston, with Dr. M. Emmet, Lawrence Berkeley National Laboratory, Dr. R. Speck.
  USI/Jülich, Dr. D. Ruprecht, USI
  
• Minisymposium Optimization in HPC, SIAM CSE 2013, Boston, with Prof. Dr. V. Schulz, Trier
  
• Minisymposium Domain Decomposition in Computational Cardiology, 21st International conference
  on domain decomposition methods, Rennes, 2012, with Prof. Dr. L. Pavarino, Milano
  
• Minisymposium Large-Scale Nonlinear Optimization, WCCM 2012, Sao Paulo, with
  Prof. Dr. O. Schenk, USI
  
• Minisymposium High Performance Methods for Strongly Nonlinear Problems in Computational Science,
  WCCM 2010, Sydney, with Dr. C. Groß, USI
  
• Minisymposium Optimal Algorithms for Contact Problems, 20th International conference on Domain
  Decomposition Methods, with Z. Dostal, Ostrava
  
• Minisymposium Domain Decomposition Methods for Non-smooth Quadratic and Nonlinear Programming
• Problems 20th International conference on Domain Decomposition Methods, with C.
  Groß
  
• Minisymposium PDE Constrained Optimization, 18th International conference on Domain Decomposition
  Methods, with Prof. Dr. R. Kornhuber, Berlin and Prof. Dr. R. Hoppe, Augsburg/Houston.
  
• ICIAM 2007, Zürich: Minisymposia Mathematics and mechanics in structural and functional biology:
  material modeling and mathematics and mechanics in structural and functional biology: simulation
  organized with C. Hellmich, Wien.
  
• MAFELAP 2006, London; Minisymposium Contact problems and biomechanics organized with
  Prof. Dr. Z. Dostál, Ostrava

Awards

Journals
[1] Associate editor for SIAM Journal on Scientific Computing (SISC) (2009-2015)
[2] Associate editor for Springer Journal CVS “Computing and Visualization in Science”
[3] Guest Editor PAMM (2014)

Books
Domain Decomposition Methods in Science and Engineering XXII, Springer, 2016

Series
Series in Computational Science, Verlag Hartung Gorre. Editors: I. Horenko, R. Krause, O. Schenk

Graduate Education

[1] Swiss Graduate school “FoMICS - Foundations in Mathematics and Informatics for Computer Simulations in Science and Engineering” within the
SUK-program “Doktoratsprogramme”. Leading House: Università della Svizzera italiana, Lugano, with participants from CSCS, ETH Zurich, EPF
Lausanne, University of Basel, University of Geneva, and University Bern. 01/2013-12/2016

[2] Participation in the Swiss Graduate School “Computational Toolbox” within the SUK-program “Doktoratsprogramme” Leading House: University
of Basel with participants from USI and ETH Zurich. 01/2013-12/2016

former Participation in the post graduate program (DFG-Graduiertenschule) “Bionics – interaction on boundary layers” with the PhD scholarship:
“Design of a biomimetic infrared (IR) sensor: Numerical simulation of the transduction-process” 08/2008-07/2011

former Participation in the “Bonn International Graduate School in Mathematics within the excellence cluster “Mathematics: Foundations, Models,
Applications” 04/2007-09/2012

Selected Collaboration Partners

[1] Cardiac simulation: Prof.Dr. A. Auricchio (Cardio Centro Ticino); Prof. Dr. F.Prinzen (University of Maastricht); Dr. J.-M. Vesin (EPFL);
Prof. Dr. E. Caiani (Politecnico di Milano)

[2] Contact problems: Prof. Dr. Z.Dostál (University of Ostrava); Dr. V. Vondrák (University of Ostrava)

[3] Solvers in HPC (SPP 1648): Prof. Dr. G. Wittum (University of Frankfurt); Prof. Dr. W. Hackbusch (Max Planck Institute for Mathematics in the
Sciences, Leipzig); Prof. Dr. W. Resch (HLRS Stuttgart); Prof. Dr. V. Schulz (University of Trier)

[4] Biomechanics: Dr. R. Sobottke (Klinik und Poliklinik für Orthopädie, University of Cologne); Prof. Dr. C. Bourauel (University of Bonn)

[5] Two-Phase flow: Prof. Dr. F. Baginski (Dept. of Mathematics, The George Washington University)

[6] Parallel in time integration: Prof. Dr. M. Minion (Institute for Computational and Mathematical Engineering, Stanford University);
Dr. M. Emmett (Lawrence Berkeley National Laboratory)

[7] HPC: Dr. W. Sawyer (CSCS, Lugano)

[8] Dr. A. Grillo (Politecnico di Torino)

Currently working group

2 student assistant
7 PhD students + 3 co-advised PhD students in cooperations with IRB/IOSI/SUPSI
1 visiting PhD student (SwissEx)
10 PostDocs

 

Publications

PATENT

• [1] 2008; Raccanelli A., Krause R.; Vorrichtung zur Erzeugung eines homogenen Magnetfelds und Optimierungsverfahren

ARTICLE IN CONFERENCE PROCEEDINGS

• [2] 2020; HASSANJANIKHOSHKROUD N. ., Nestola M. G. C., Zulian P., von Planta C., Vogler D., Köstler H. ., Krause R.; Thermo-Fluid-Structure Interaction Based on the Fictitious Domain Method: Application to Dry Rock Simulation
• [3] 2018; von Planta C., Vogler D., Nestola M. G. C., Zulian P., Krause R.; Variational Parallel Information Transfer between Unstructured Grids in Geophysics - Applications and Solutions Methods
• [4] 2018; Planta C., Vogler D., Nestola M., Zulian P., Krause R.; Variational Parallel Information Transfer between Unstructured Grids in Geophysics-Applications and Solutions Methods
• [5] 2018; Potse M., Gharaviri A., Pezzuto S., Auricchio A., Krause R., Verheule S., Schotten U.; Anatomically-induced Fibrillation in a 3D model of the Human Atria
• [6] 2018; Becsek B., Zolfaghari H., Nestola M. G. C., Obrist D., Krause R.; Understanding Turbulent Flow issuing from the aortic valve
• [7] 2018; von Planta C., Vogler D., Xiaoqing C., Nestola M. G. C., Zulian P., Saar M. O., Krause R.; Simulating hydro-mechanical processes in rough fractures with a Fluid-Structure Interaction (FSI) approach with a parallel transfer operator
• [8] 2018; Nestola M. G. C., Becsek B., Zolfaghari H., Zulian P., Obrist D., Krause R.; An Immersed Boundary Method Based on the L2-Projection Approach
• [9] 2017; Zulian P., Nestola M. G. C., von Planta C., Krause R.; Contact, Fluid Structure Interaction and Variational Transfer
• [10] 2017; Hunziker J., Hunziker J., Favino M., Caspari E., Quintal B., Rubino J. G., Krause R., Holliger K.; Seismic Attenuation in Realistic Fracture Networks
• [11] 2017; Becsek B., Zolfaghari H., Nestola M. G. C., Krause R., Obrist D.; Viscoelastic computational modeling of the human head-neck system: Eigenfrequencies and time-dependent analysisUnderstanding Turbulent Flow issuing from the aortic valve} 5th International Conference on Computational and Mathematical Biomedical Engineering
• [12] 2016; Grasedyck L., Löbbert C., Wittum G., Nägel A., Schulz V., Siebenborn M., Krause R., Küster U., Dick B.; Space and Time Parallel Multigrid for Optimization and Uncertainty Quantification in PDE Simulations
• [13] 2016; Benedusi P., Hupp D., Arbenz P., Krause R.; A Parallel Multigrid Solver for Time-Periodic Incompressible Navier–Stokes Equations in 3D
• [14] 2016; Kotas P., Croce R., Poletti V., Vondrak V., Krause R.; A Massive Parallel Fast Marching Method
• [15] 2016; Krause R., Zulian P.; A Parallel Multigrid Solver for Time-Periodic Incompressible Navier–Stokes Equations in 3D
• [16] 2016; Benedusi P., Hupp D., Arbenz P., Krause R.; A Parallel Multigrid Solver for Time-periodic Incompressible Navier-Stokes Equations in 3D
• [17] 2015; Krause R., Krause D., Favino M., Ruprecht D.; Parallel Methods in Cardiac Simulation -- from lightweight adaptivity to Coupled Models
• [18] 2015; Schneider T., Zulian P., Azadmanesh M. R., Krause R., Hauswirth M.; Vestige: A visualization framework for engineering geometry-related software
• [19] 2014; Speck R., Ruprecht D., Krause R., Emmett M., Minion M., Winkel M., Gibbon P.; Integrating an N-body problem with SDC and PFASST
• [20] 2014; Krause R., Ruprecht D.; Hybrid Space-Time Parallel Solution of Burger's Equation
• [21] 2013; Schmitz S., Gottschalk H., Rollmann G., Krause R.; A Probabilistic Approach to Low-Cycle Fatigue
• [22] 2013; Schmitz S., Rollmann G., Gottschalk H., Krause R.; Probabilistic Analysis of LCF Crack Initiation Life of a Turbine Blade under Thermomechanical Loading
• [23] 2013; Peternier A., De Filippi M., Pasquali P., Cantone A., Krause R., Vitulli R., Ogushi F., Meroni A.; Risk Estimation for LCF Crack Initiation
• [24] 2013; Peternier A., De Filippi M., Pasquali P., Cantone A., Krause R., Vitulli R., Ogushi F., Meroni A.; Monotone Multigrid Methods Based on Parametric Finite Elements
• [25] 2013; Schmitz S., Rollmann G., Gottschalk H., Krause R.; Risk Estimation for LCF Crack Initiation
• [26] 2013; Dickopf T., Krause R.; Monotone Multigrid Methods Based on Parametric Finite Elements
• [27] 2013; Dickopf T., Krause R.; Numerical study of the almost nested case in a multilevel method based on non-nested meshes
• [28] 2013; Bolten M., Emmet M., Krause R., Ruprecht D., Speck R.; Poster: Extreme-scale Space-time Parallelism
• [29] 2012; Favino M., Krause R., Steiner J.; An Efficient Preconditioning Strategy for Schur Complements Arising from Biphasic Models
• [30] 2012; Speck R., Ruprecht D., Krause R., Emmett M., Minion M., Winkel M., Gibbon P.; A massively space-time parallel N-body solver
• [31] 2012; Favino M., Drolshagen M., Bourauel C., Krause R.; A NON-LINEAR BIPHASIC MODEL FOR THE PERIODONTAL LIGAMENT: MODELLING AND SIMULATION
• [32] 2012; Speck R., Krause R., Gibbon P.; Parallel remeshing in tree codes for vortex particle methods
• [33] 2012; Peternier A., De Filippi M., Pasquali P., Cantone A., Krause R., Vitulli R., Ogushi F., Meroni A.; Performance analysis of GPU-based SAR and Interferometric SAR image processing
• [34] 2012; Peternier A., De Filippi M., Pasquali P., Cantone A., Krause R., Vitulli R., Ogushi F., Meroni A.; Performance analysis of GPU-based SAR and Interferometric SAR image processing
• [35] 2011; Fackeldey K., Krause D., Krause R.; Numerical validation of a constraints-based multiscale simulation method for solids
• [36] 2011; Krause R., Krause D.; Parallel Scale-Transfer in Multiscale MD-FE Coupling Using Remote Memory Access
• [37] 2011; Fackeldey K., Krause D., Krause R.; Numerical Validation of Constraints Based Multiscale Methods
• [38] 2011; Potse M., Dickopf T., Krause R., Auricchio A., Prinzen F., Krause D.; Poster: hybrid parallelization of a realistic heart model
• [39] 2010; Krause R., Steiner J.; Cosserat-Rods and Elastic Bodies: On the Numerical Simulation of a Coupled System
• [40] 2009; Dickopf T., Krause R.; Weak information transfer between non-matching warped interfaces
• [41] 2009; Gross C., Krause R., Walloth M.; Nonlinear Decomposition Methods in Elastodynamics
• [42] 2009; Krause D., Krause R., Fackeldey K.; Weak Coupling Algorithms in Multiscale Simulations
• [43] 2009; Gross C., Krause R.; A Recursive Trust--Region Method for Non-convex Constrained Minimization
• [44] 2008; Fackeldey K., Krause R., Schweitzer M.; Stability of Energy Transfer in the Weak Coupling Method
• [45] 2008; Berrenberg S., Gross C., Krause R.; Numerical Simulation in Biomechanics: A Flexible Approach
• [46] 2008; Fackeldey K., Krause D., Krause R.; Quadrature and Implementation of the Weak Coupling Method
• [47] 2007; Krause R.; On the Multiscale Solution of Constrained Minimization Problems
• [48] 2007; Fackeldey K., Krause R.; Weak Coupling in Function Space: a Unifying Coupling Approach for Multiscale Simulations
• [49] 2007; Dutz H., Krause R., Raccanelli A.; A Finite Element Model for the Thermal Transport in Solid Targets
• [50] 2005; Krause R., Sander O.; Fast solving of contact problems on complicated geometries
• [51] 2005; Fackeldey K., Krause R.; Solving Frictional Contact Problems with Multigrid Efficiency
• [52] 2003; Krause R., Kornhuber R.; On Multigrid Methods for Vector-Valued Allen-Cahn equations
• [53] 1999; Krause R., Wolmuth B.; Multigrid Methods for Mortar Finite Elements
• [54] 1998; Bornemann F. A. ., Krause R.; Classical and Cascadic Multigrid - A Methodologic

JOURNAL ARTICLE

• [55] 2020; Piazzese C., M. Chiara C., Krause R., Auricchio A., Lynn W., Paola G., Gloria T., Gianluca P., Daniele A., Roberto M. L., Mauro P., Enrico G. C.; 3D right ventricular endocardium segmentation in cardiac magnetic resonance images by using a new inter-modality statistical shape modelling method
• [56] 2020; von Planta C., Vogler D., Xiaoqing C., Nestola M. G. C., Saar M. O., Krause R.; Modelling of hydro-mechanical processes in heterogeneous fracture intersections using a fictitious domain method with variational transfer operators
• [57] 2020; Gharaviri A., Bidar E., Potse M., Zeemering S., Verheule S., Pezzuto S., Krause R., Maessen J. G., Auricchio A., Schotten U.; Epicardial Fibrosis Explains Increased Endo-Epicardial Dissociation and Epicardial Breakthroughs in Human Atrial Fibrillation
• [58] 2020; Kopanicakova A., Krause R.; A recursive multilevel trust region method with application to fully monolithic phase-field models of brittle fracture
• [59] 2019; Pizzagalli D. U., Latino I., Pulfer A., Palomino-Segura M., Virgilio T., Farsakoglu Y., Krause R., Gonzalez S. F.; Characterization of the dynamic behavior of neutrophils following influenza vaccination
• [60] 2019; Quaglino A., Pezzuto S., Krause R.; High-dimensional and higher-order multifidelity Monte Carlo estimators
• [61] 2019; Pizzagalli D. U., Gonzalez S. F., Krause R.; A trainable clustering algorithm based on shortest paths from density peaks
• [62] 2019; Schädle . P., Zulian P., Sthavishtha . R. B., Nestola M. G. C., Vogler D., Anozie E., Krause R., Saar M. O.; 3D non-conforming mesh model for flow in fractured porous media using Lagrange multipliers
• [63] 2019; Zolfaghari H., Becsek B., Nestola M. G. C., Sawyer W. B., Krause R., Obrist D.; High-order accurate simulation of incompressible turbulent flows on many parallel GPUs of a hybrid-node supercomputer
• [64] 2019; Nestola M. G. C., Becsek B., Zolfaghari H., Zulian P., De Marinis D., Krause R., Obrist D.; An immersed boundary method for fluid-structure interaction based on variational transfer
• [65] 2019; Favino M., Hunziker J., Caspari E., Quintal B., Holliger K., Krause R.; Fully-Automated Adaptive Mesh Refinement for Media Embedding Complex Heterogeneities: Application to Poroelastic Fluid Pressure Diffusion
• [66] 2019; Nestola M. G. C., Zulian P., Gaedke-Merzhäuser L., Krause R.; An embedded formulation for fluid-structure interaction with contact
• [67] 2019; Kopaničáková A., Krause R.; Recursive multilevel trust region method with application to fully monolithic phase-field models of brittle fracture.
• [68] 2019; Bilgen C., Kopaničáková A., Krause R., Kerstin W.; A detailed investigation of the model influencing parameters of the phase-field fracture approach.
• [69] 2019; von Planta C., Vogler D., Chen X., Nestola M. G. C., Saar M. O., Krause R.; Simulation of hydro-mechanically coupled processes in rough rock fractures using an immersed boundary method and variational transfer operators
• [70] 2019; Schädle P., Zulian P., Vogler D., Sthavishtha B. R., Nestola M. G. C., Ebigbo A., Krause R., Saar M. O., others; 3D non-conforming mesh model for flow in fractured porous media using Lagrange multipliers
• [71] 2019; von Planta C., Vogler D., Chen X., Nestola M. G. C., Saar M. O., Krause R.; Simulation of hydro-mechanically coupled processes in rough rock fractures using an immersed boundary method and variational transfer operators
• [72] 2019; Kopaničáková A., Tamstorf R., Krause R.; Subdivision-based nonlinear multiscale cloth simulation
• [73] 2018; Pezzuto S., Gharaviri A., Schotten U., Potse M., Conte G., Caputo M. L., Regoli F., Krause R., Auricchio A.; Beat-to-beat P-wave morphological variability in patients with paroxysmal atrial fibrillation: an in silico study
• [74] 2018; Maffessanti F., Prinzen W. F., Conte G., Regoli F., Caputo M. L., Suerder D., Moccetti T., Faletra F., Krause R., Auricchio A.; Integrated Assessment of Left Ventricular Electrical Activation and Myocardial Strain Mapping in Heart Failure Patients
• [75] 2018; Nguyen U. C., Potse M., Vernooy K., Mafi-Rad M., Heijman J., Caputo M. L., Conte G., Regoli F., Krause R., Moccetti T., Auricchio A., Prinzen F. W., Maffessanti F.; A left bundle branch block activation sequence and ventricular pacing influence voltage amplitudes: an in vivo and in silico study.
• [76] 2018; Quaglino A., Pezzuto S., Koutsourelakis P. S., Auricchio A., Krause R.; Fast uncertainty quantification of activation sequences in patient-specific cardiac electrophysiology meeting clinical time constraints
• [77] 2017; Kreienbuehl A., Benedusi P., Ruprecht D., Krause R.; Time--parallel Gravitational Collapse Simulation
• [78] 2017; Krause R., Müller B. a.; An adaptive least-squares mixed finite eleme
• [79] 2017; Hesch C., Schuß S., Dittmann M., Eugster S. R., Favino M., Krause R.; Variational space-time elements for large-scale systems
• [80] 2017; Bilgen C., Kopani\v cáková A., Krause R., Weinberg K.; A phase-field approach to pneumatic fracture
• [81] 2017; Pezzuto S., Kal'avský P., Potse M., Prinzen F., Auricchio A., Krause R.; Evaluation of a Rapid Anisotropic Model for ECG Simulation
• [82] 2017; Zulian P., Schneider T., Hormann K., Krause R.; Parametric finite elements with bijective mappings
• [83] 2016; Krause R., Zulian P.; A {Parallel} {Approach} to theVariational Transfer of Discrete Fields between Arbitrarily Distributed Unstructured Finite Element Meshes
• [84] 2016; Krause R., Zulian P.; A parallel multigrid method for constrained minimization problems and its application to friction, contact, and obstacle problems
• [85] 2016; Piazzese C., Carminati M. C., Colombo A., Krause R., Potse M., Auricchio A., Weinert L., Tamborini G., Pepi M., Lang R. M., Caiani E. G.; Segmentation of the left ventricular endocardium from magnetic resonance images by using different statistical shape models
• [86] 2016; Krause R., Zulian P.; A Parallel Approach to the Variational Transfer of Discrete Fields between Arbitrarily Distributed Unstructured Finite Element Meshes
• [87] 2016; Arbenz P., Grigori L., Krause R., Schenk O.; Special issue on Parallel Matrix Algorithms and Applications (PMAA'14)
• [88] 2016; Byshkin M., Mira A., Stivala A., Krause R., Robins G., Lomi A.; Auxiliary Parameter Markov Chain Monte Carlo for Exponential Random Graph Models
• [89] 2016; Li X., Benedusi P., Krause R.; An Iterative Approach for Time Integration Based on Discontinuous Galerkin Methods
• [90] 2016; Favino M., Pozzi S., Pezzuto S., Prinzen F., Auricchio A., Krause R.; Impact of mechanical deformation on pseudo-ECG: a simulation study
• [91] 2016; Krause R., Zulian P.; Impact of mechanical deformation on pseudo-ECG: a simulation study.
• [92] 2016; Favino M., Bourauel C., Krause R.; A nonlinear poroelastic model for the periodontal ligament
• [93] 2016; Keilig L., Drolshagen M., Tran K. L., Hasan I., Reimann S., Deschner J., Brinkmann K. T., Krause R., Favino M., Bourauel C.; In vivo measurements and numerical analysis of the biomechanical characteristics of the human periodontal ligament
• [94] 2016; Quaglino A., Krause R.; Towards a multigrid method for the minimum-cost flow problem
• [95] 2016; Krause R., Rigazzi A., Steiner J.; A parallel multigrid method for constrained minimization problems and its application to friction, contact, and obstacle problems
• [96] 2016; Krause D., Krause R.; Enabling local time stepping in the parallel implicit solution of reaction{\textendash}diffusion equations via space-time finite elements on shallow tree meshes
• [97] 2016; Favino M., Pozzi S., Pezzuto S., Prinzen F., Auricchio A., Krause R.; Impact of mechanical deformation on pseudo-ECG: a simulation study.
• [98] 2015; Land S., Gurev V., Arens S., Augustin C. M., Baron L., Blake R., Bradley C., Castro S., Crozier A., Favino M., Fastl T. E., Fritz T., Gao H., Gizzi A., Griffith B. E., Hurtado D. E., Krause R., Luo X., Nash M. P., Pezzuto S., Plank G., Rossi S., Ruprecht D., Seemann G., Smith N. P., Sundnes J., Rice J. J., Trayanova N., Wang D., Jenny Wang Z., Niederer S. A.; Verification of cardiac mechanics software: benchmark problems and solutions for testing active and passive material behaviour
• [99] 2015; Arteaga A., Ruprecht D., Krause R.; A stencil-based implementation of Parareal in the C++ domain specific embedded language STELLA
• [100] 2015; Kreienbuehl A., Naegel A., Ruprecht D., Speck R., Wittum G., Krause R.; Numerical simulation of skin transport using Parareal
• [101] 2015; Arbenz P., Grigori L., Krause R., Schenk O.; Special issue on Parallel Matrix Algorithms and Applications (PMAA'14)
• [102] 2015; Kroon W., Lumens J., Potse M., Suerder D., Klersy C., Regoli F., Murzilli R., Moccetti T., Delhaas T., Krause R., Prinzen F., Auricchio a. A. .; In-vivo Electromechanical Assessment of Heart Failure Patients with Prolonged QRS Duration
• [103] 2015; Nguy\haten U. C. ., Potse M., Regoli F., Caputo M. L., Conte G., Murzilli R., Muzzarelli S., Moccetti T., Prinzen F., Krause R., Auricchio. a. A. .; An in-silico analysis of the effect of heart position and orientation on the ECG morphology and vectorcardiogram parameters in patients with heart failure and intraventricular conduction defects
• [104] 2015; Speck R., Ruprecht D., Emmett M., Minion M., Bolten M., Krause R.; A multi-level spectral deferred correction method
• [105] 2015; Krause R., Veeser A., Walloth M.; An efficient and reliable residual-type a posteriori error estimator for the Signorini problem
• [106] 2014; Conen L., Dolean V., Krause R., Nataf F.; A coarse space for heterogeneous Helmholtz problems based on the Dirichlet-to-Neumann operator
• [107] 2014; Baginski F. E., Croce R., Gillmor S., Krause R.; Numerical investigations of the role of curvature in strong segregation problems on a given surface
• [108] 2014; Dickopf T., Krause R.; Evaluating local approximations of the L2-orthogonal projection between non-nested finite element spaces
• [109] 2014; Conen L., Krause R.; Addendum to "A coarse space for heterogeneous Helmholtz problems based on the Dirichlet-to-Neumann operator"
• [110] 2014; Potse M., Krause D., Kroon W., Murzilli R., Muzzarelli S., Regoli F., Caiani E., Prinzen F., Krause R., Auricchio A.; Patient-specific modelling of cardiac electrophysiology in heart-failure patients
• [111] 2014; Dickopf T., Krause D., Krause R., Potse M.; Design and Analysis of a Lightweight Parallel Adaptive Scheme for the Solution of the Monodomain Equation
• [112] 2013; Peternier A., De Filippi M., Pasquali P., Cantone A., Krause R., Vitulli R., Ogushi F., Meroni A.; The influence of boundary approximation on transf
• [113] 2013; Dickopf T., Krause R.; The influence of boundary approximation on transfer operators between non-nested meshes
• [114] 2013; Favino M., Gross C., Drolshagen M., Keilig L., Deschner J., Bourauel C., Krause R.; Validation of a heterogeneous elastic-biphasic model for the numerical simulation of the PDL
• [115] 2013; Schmitz S., Seibel T., Beck T., Rollmann G., Krause R., Gottschalk H.; A Probabilistic Model for LCF
• [116] 2013; Peternier A., De Filippi M., Pasquali P., Cantone A., Krause R., Vitulli R., Ogushi F., Meroni A.; Validation of a heterogeneous elastic-biphasic model for the numerical simulation of the PDL
• [117] 2013; Peternier A., De Filippi M., Pasquali P., Cantone A., Krause R., Vitulli R., Ogushi F., Meroni A.; A Probabilistic Model for LCF
• [118] 2012; Badea L., Krause R.; One- and two-level multiplicative Schwarz methods for variational and quasi-variational inequalities of the second kind
• [119] 2012; Ruprecht D., Krause R.; Explicit Parallel-in-time Integration of a Linear Acoustic-Advection System
• [120] 2012; Potse M., Krause D., Bacharova L., Krause R., Prinzen F., Auricchio A.; Similarities and differences between electrocardiogram signs of left bundle-branch block and left-ventricular uncoupling
• [121] 2012; Winkel M., Speck R., Huebner H., Arnold L., Krause R., Gibbon P.; A massively parallel, multi-disciplinary Barnes-Hut tree code for extreme-scale N-body simulations
• [122] 2012; Krause R., Walloth M.; Presentation and Comparison of Selected Algorithms for Dynamic Contact Based on the Newmark Scheme
• [123] 2011; Drolshagen M., Keilig L., Hasan I., Reimann S., Deschner J., Brinkmann K., Krause R., Favino M., Bourauel C.; Development of a novel intraoral measurement device to determine the biomechanical characteristics of the human periodontal ligament.
• [124] 2011; Krause R., Mohr C.; Level set based multi-scale methods for large deformation contact problems
• [125] 2011; Bacharova L., Mateasik A., Krause R., Prinzen F., Auricchio A., Potse M.; The effect of reduced intercellular coupling on electrocardiographic signs of left ventricular hypertrophy
• [126] 2011; Papadopoulou K., Keilig L., Eliades T., Krause R., Jäger A., Bourauel C.; The time-dependent biomechanical behaviour of the periodontal ligament - an in vitro experimental study in minipig mandibular two-rooted premola
• [127] 2011; Papadopoulou K., Keilig L., Eliades T., Krause R., J\"ager A., Bourauel C.; The time-dependent biomechanical behaviour of the periodontal ligament -- an in vitro experimental study in minipig mandibular two-rooted premolars
• [128] 2011; Fackeldey K., Krause R., Krause D., Lenzen C.; Coupling Molecular Dynamics and Continua with Weak Constraints
• [129] 2011; Krause R., Walloth M.; A family of space–time connecting discretization schemes with local impact detection for elastodynamic contact problems
• [130] 2011; Krause R., Walloth M.; A family of space-time connecting discretization schemes for elastodynamic contact problems with local impact detection
• [131] 2010; Gross C., Krause R., Steiner J.; Heterogeneous Coupling: A Comparison of two Approaches for the Modeling of thin Structures
• [132] 2009; Krause R., Walloth M.; A Time Discretization Scheme Based on Rothe's Method for Dynamical Contact Problems with Friction
• [133] 2009; Gross C., Krause R.; On the Convergence of Recursive Trust--Region Methods for Multiscale Non-linear Optimization and Applications to Non-linear Mechanics
• [134] 2009; Dickopf T., Krause R.; Efficient simulation of multi-body contact problems on complex geometries: A flexible decomposition approach using constrained minimization
• [135] 2009; Fackeldey K., Krause R.; Multiscale Coupling in Function Space - Weak Coupling between Molecular Dynamics and Continuum Mechanics
• [136] 2009; Krause R.; A Non-Smooth Multiscale Method for Solving Frictional Two-Body Contact Problems in 2D and 3D with Multigrid Efficiency
• [137] 2008; Deuflhard P., Krause R., Ertel S.; A Contact-Stabilized Newmark Method for Dynamical Contact Problems
• [138] 2008; Deuflhard P., Krause R., Ertel S.; A Contact-Stabilized Newmark Method for Dynamical Contact Problems
• [139] 2008; Fackeldey K., Krause R.; CM/MD Coupling - A Function Space Oriented Multiscale-Coupling Approach
• [140] 2008; Kornhuber R., Krause R., Sander O., Deuflhard P., Ertel S.; A Monotone Multigrid Solver for Two Body Contact Problems in Biomechanics
• [141] 2006; Krause R., Sander O.; Automatic Construction of Boundary Parametrizations for geometric multigrid solvers
• [142] 2006; Deuflhard P., Ertel S., Kornhuber, Krause R., Sander R., Arrigo O.; Patient-specific simulation of dynamic stress distribution in the human knee
• [143] 2006; Kornhuber R., Krause R.; Robust Multigrid Methods for Vector-Valued Allen--Cahn Equations with Logarithmic Free Energy.
• [144] 2003; Wohlmuth B., Krause R.; Monotone Methods on Nonmatching Grids for Nonlinear Contact Problems
• [145] 2002; Krause R., B.~Wolmuth; A Dirichlet-Neumann Type Algorithm for Contact Problems with Friction
• [146] 2001; Krause R., Wohlmuth B.; Domain Decomposition Methods on Nonmatching Grids and Some Applications to Linear Elasticity Problems
• [147] 2001; Kornhuber R., Krause R.; Adaptive Multigrid Methods for Signorini's Problem in Linear Elasticity
• [148] 2001; Krause R., Barbara~Wohlmuth; A Multigrid Method Based on the Unconstrained Product Space arising from Mortar Finite Element Discretizations
• [149] 2000; Krause R., Wohlmuth B.; Nonconforming Domain Decomposition Methods Techniques for Linear Elasticity

BOOK CHAPTER

• [150] 2016; Grasedyck L., Löbbert C., Wittum G., Nägel A., Schulz V., Siebenborn M., Krause R., Benedusi P., Küster U., Dick B.; Space and Time Parallel Multigrid for Optimization and Uncertainty Quantification in PDE Simulations
• [151] 2014; Krause D., Fackeldey K., Krause R.; A Parallel Multiscale Simulation Toolbox for Coupling Molecular Dynamics and Finite Elements
• [152] 2013; Gross C., Krause R., Poletti V.; A Numerical Remark on the Time Discretization of Contact Problems in Nonlinear Elasticity
• [153] 2012; Potse M., Dickopf T., Krause R., Auricchio A., Prinzen F., Krause D.; Hybrid parallelization of a realistic heart model
• [154] 2012; Krause D., Potse M., Dickopf T., Krause R., Auricchio A., Prinzen F.; Hybrid Parallelization of a Large-Scale Heart Model
• [155] 2012; Grillo A., Giverso C., Favino M., Krause R., Lampe M., Wittum G.; Mass Transport in Porous Media With Variable Mass
• [156] 2010; Dickopf T., Krause R.; A study of prolongation operators between non-nested meshes
• [157] 2006; Krause R.; From inexact active set strategies to nonlinear multigrid methods

OTHER PUBLICATION

• [158] 2018; Pizzagalli D. U., Farsakoglu Y., Palomino-Segura M., Palladino E., Sintes J., Marangoni F., Mempel T., Koh W. H., Murooka T., Thelen F., Stein J., Pozzi G., Krause R., Gonzalez S. F.; LTDB - Leukocyte Tracking Database
• [159] 2016; Krause R.; Complex Multiphysics in Cardiac Simulation: From Patient Data via Electro-Mechanical Activation to ECGs
• [160] 2016; Krause R., Marci G.; Ticino della Scienza
• [161] 2015; Krause R.; Scienze Computazionali - Computational Science at USI
• [162] 2013; Croce R., Ruprecht D., Krause R.; Parallel-in-Space-and-Time Simulation of the Three-Dimensional, Unsteady Navier-Stokes Equations for Incompressible Flow
• [163] 2009; Krause R.; Swiss TV (SF1 10vor10) reports about CSCS a
• [164] 2009; Gross C., Krause R.; A new Class of Non--linear Additively Preconditioned Trust--Region Strategies: Convergence Results and Applications to Non-linear Mechanics

TECHNICAL REPORT

• [165] 2011; Gross C., Krause R.; On the Globalization of ASPIN employing Trust-Region Control Strategies - Convergence Analysis and Numerical Examples
• [166] 2010; Conen L., Gross C., Krause R.; The Linear Algebra Module in ObsLib++ - Description, Comparisons and Numerical Results
• [167] 2010; Gross C., Krause R.; A Generalized Recursive Trust-Region Approach - Nonlinear Multiplicatively Preconditioned Trust-Region Methods and Applications
• [168] 2009; Dickopf T., Krause R.; A pseudo-L2-projection for multilevel methods based on non-nested meshes.
• [169] 2009; Dickopf T., Krause R.; A contact method for parametric finite elements
• [170] 2008; Gross C., Krause R.; Import of Geometries and Extended Informations into Obslib++ using the Exodus II and Exodus Parameter File Formats
• [171] 2008; Dickopf T., Gross C., Krause R., Mohr C., Steiner J.; Efficient Simulation Techniques for Heterogeneous Models in Biomechanics

BOOK

• [172] 2016; Krause R., Zulian P.; Domain Decomposition Methods in Science and Engineering XXII
• [173] 2016; Dickopf T., Gander M. J., Halpern L., Krause R., Pavarino L. F.; Domain Decomposition Methods in Science and Engineering XXII
• [174] 2001; Krause R.; Monotone Multigrid Methods for Signorini's Problem with Friction
• [175] 1996; Krause R.; Über die Konvergenz des kaskadischen Mehrgitterverfahrens