Materials science
Materials science simulations face formidable challenges with respect to the extreme heterogeneity of the systems to be simulated, as well as the data, complexity and dynamics. Work focuses on pushing the limits of state of the art methods in terms of scalability, improving the numerical complexity and supporting the portability of high-performance codes between different computer architectures.
Communities in the field materials science will find support by three Simulation and Data Labs. JSC hosts one research group in this field.
SDL Electrons and Neutrons
The Simulation and Data Laboratory Electrons & Neutrons (SDLen) forms a bridge between experiment and simulation with a special focus on data management and data analytics using high-performance computing and methods from the field of artificial intelligence.
Simulation and Data Laboratory Quantum Materials
The Simulation and Data Laboratory Quantum Materials (SDLQM) provides expertise in the field of quantum-based simulations in Materials Science with a special focus on High-Performance Computing and scientific Machine Learning.
SDL Complex Particle Systems
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.
Computational Materials Science
The research group Computational Materials Science develops methods for simulating and understanding the many-body effects in strongly correlated materials.
