Our interdisciplinary research group focuses on a variety of topics:

• Scalable algorithms for large-scale multi-physics simulations
• Accessible high-performance computing (HPC): reproducibility, interoperability, hardware-independent programm (GPUs)
• Data-driven methods for numerical methods (Scientific Machine Learning)
• Research software engineering for HPC
• Encrypted methods for privacy-preserving computational science
• Applications in fluid mechanics, astrophysics, atmosphere science, biomechanics

Among other activities, our lab is currently involved in the following research projects:

• DFG Research Unit FOR5409 SNuBIC:
  Structure-Preserving Numerical Methods for Bulk- and Interface Coupling of Heterogeneous Models
• DFG Project ACTRIX:
  Accessible extreme-scale computing with Trixi.jl and the Julia programming language
• BMBF Project ADAPTEX:
  Adaptive Earth system modelling with strongly reduced computation time for exascale-supercomputers
• PASC Project? GPU4GEO:
  Differentiable multi-physics solvers for extreme-scale geophysics simulations on GPUs

The HPSC Lab promotes good research software engineering practices and open-source software, and members of the lab are key contributors to the Trixi Framework, especially in the following software projects:

• Trixi.jl: Adaptive high-order numerical simulations of conservation laws in Julia
• libtrixi: Interface library for using Trixi.jl from C/C++/Fortran
• TrixiParticles.jl: Particle-based multiphysics simulations in Julia

• SecureArithmetic.jl:?Secure arithmetic operations using fully homomorphic encryption
• OpenFHE.jl:?Fully homomorphic encryption in Julia using OpenFHE

Interested in writing a Bachelor/Master thesis or in a hiwi job? Please send an email to Michael Schlottke-Lakemper.