Table of Contents
The Simulation and Data Laboratory (SDL) Complex Particle Systems focusses on the development of methods and algorithms for the simulation of complex systems with different time and length scales on parallel computers. Examples for supported types of methods and algorithms are classical and ab-initio Molecular Dynamics (MD) as well as modern electronic structure methods such as Denstity Functional Theory (DFT) and wave-function based electron correlation methods. Furthermore the SDL works on the development of numerical libraries for the computation of long-range interactions in particle systems, e.g. Coulombic interactions, and load-balancing methods for complex applications on massively parallel architectures.
Current Research Topics
- Molecular Dynamics, Monte Carlo and dynamical stochastical methods
- Multiscale approaches, integrating different abstraction levels
- Libraries for generic components, e.g. integrators, long range interactions
- Algorithms for load-balancing methods on large-scale parallel architectures
- Performance portability of parallel applications
- Parallel multi-reference electron-correlation methods for general and excited electronic states also applicable to extended molecules
- Relativistic Quantum Chemestry: parallel Spin-Orbit multi-reference configuration interaction singles and doubles (SO-MRCISD) treating relativistic effects and electron correlation on the same footing
Overview about Research Topics
Team
Support Activities
Areas in which the SDL can provide support to interested collaboration partners from the communities include:
- Support for performance analysis
- Development and research of numerical algorithms, e.g. for
- Support with porting efforts to JSC architectures, e.g. JURECA-DC / JUWELS
- Parallel data analysis tools (e.g. correlation functions, time series analysis, etc.)
- Support for the Quantum Chemestry packages TURBOMOLE, CP2K, CPMD and QuantumEspresso
- Consultancy for VASP
Outreach and Community
- support of the Juelich CECAM node and organization of workshops and tutorials
- regular participation in the JSC guest student programme (see list below)
Currently Maintained Codes
Overview about Maintained Codes
Projects
Teaching
Besides research and support activities, members of the Simulation Laboratory Complex Particle Systems are involved in teaching activities. There are regular courses at Ruhr-University Bochum and, occasionally, courses at University of Applied Sciences in Aachen/Jülich.
- Programming Concepts in Materials Sciences
Master course Materials Science and Simulation at ICAMS, Ruhr-University Bochum
Lecturer: Prof. Dr. Godehard Sutmann - Introduction to Scientific- and Parallel Computing
Master course Materials Science and Simulation at ICAMS, Ruhr-University Bochum
Lecturer: Prof. Dr. Godehard Sutmann - Computer Simulation Methods in Science: Molecular Dynamics
Master course Technomathematics, Aachen University of Applied Scienes
Lecturer: Prof. Dr. Godehard Sutmann - Computer Simulation Methods in Science: Monte Carlo
Master course Technomathematics, Aachen University of Applied Sciences
Lecturer: Prof. Dr. Godehard Sutmann - Parallele Algorithmen
Master course Applied Mathematics and Informatics, Aachen University of Applied Sciences
Lecturers: Prof. Dr. Godehard Sutmann, Rene Halver - Programmierung und numerische Methoden
Bachelor Course Materials Science, Ruhr-University Bochum
Lecturer: Prof. Dr. Godehard Sutmann
Publications
Last Modified: 11.12.2023