Nanosizing has revolutionized the design of electronic components to the point where their material properties and atomic configuration almost entirely determine their functionality. To accelerate the emergence of novel device concepts, advanced simulation tools relying on quantum mechanics and treating the different material regions at the atomic scale are needed. Electronic structure calculators and quantum transport simulators have established themselves as powerful engines to study the equilibrium and out-of-equilibrium properties of nanostructures. However, both approaches suffers from the same deficiencies: they are usually limited to small atomic systems and they are subject to lame compromises between short simulation times (empirical models) and accurate results (ab-initio approaches). These restrictions are mainly due to the underlying numerical algorithms, matrix diagonalizations for electronic structure calculations and sparse linear systems of equations for quantum transport problems, that do not scale well on large core numbers and poorly exploit the available computational resources.
In this PASC project, we will integrate general-purpose parallel numerical libraries and improved physical models to advance the state-of-the-art in electronic structure and quantum transport calculations of nanostructures. The treatment of larger atomic systems, the reduction of the simulation time, the improvement of the result accuracy, and the usage of novel computer architectures are the objectives of this project.
Professor Mathieu Luisier; ETH Zurich
Professor Nicola Marzari; EPFL
Professor Olaf Schenk; USI Lugano
Swiss Platform for Advanced Scientific Computing (PASC);