- DFG project “MFML-OT – Multi-Fidelity Machine Learning for Orthogonal Translation” (duration 2027-2029)
Research project within the DFG SPP 2546 “Artificial Intelligence for Protein Function” (joint project with Mehdi D. Davari, Leibniz Institute of Plant Biochemistry, Halle, and Michael A. Nash, University of Basel / ETH Zurich) - DFG project “ICEBAY – Temperature reconstruction combining boreholes thermometry and ice-cores with Bayesian hierarchical modelling – Global warming vs. natural variability in DML, Antarctica” (duration: 2026-2028)
Research project within the DFG SPP 1158 “Antarctic Research” (joint project with Thomas Laepple, Alfred Wegener Institut, Potsdam) - DFG project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes” (duration 2026-2029)
Research project within the second phase of the DFG SPP 2363 “Utilization and Development of Machine Learning for Molecular Applications – Molecular Machine Learning” (joint project with Ulrich Kleinekathöfer, Physics, Constructor University Bremen) - DFG subproject “Data-driven surrogate modelling for differential-algebraic port-Hamiltonian systems” (C03) (duration: 2025-2028)
Subproject of the CRC 1701 “Port-Hamiltonian Systems” (co-PI together with Michael Günther) - DFG subproject “Benchmark platform for port-Hamiltonian systems” (S) (duration: 2025-2028)
Subproject of the CRC 1701 “Port-Hamiltonian Systems” (co-PI together with Hanno Gottschalk)
Finished projects
- MarDATA project “Digital Ice Cores: Paleo-Climate reconstruction using Bayesian methods” (duration: 2023-2026)
Helmholtz School for Marine Data Science (joint project with Thomas Laepple, Alfred Wegener Institute & U. Bremen) - DFG project “Multi-fidelity, Active Learning Strategies for Exciton Transfer Among Adsorbed Molecules” (duration 2022-2026)
Research project within the first phase of the DFG SPP 2363 “Utilization and Development of Machine Learning for Molecular Applications – Molecular Machine Learning” (joint project with Ulrich Kleinekathöfer, Physics, Jacobs University Bremen) - MarDATA project “Bayesian Chronology Modelling for Paleoclimate Archives” (duration: 2022-2026)
Helmholtz School for Marine Data Science (joint project with Florian Adolphi, Alfred Wegener Institute) - DFG project “Excitation Energy Transfer in a Photosynthetic System with more than 100 Million Atoms” (duration: 2021-2025)
Individual Research Grant funded by DFG (joint project with Ulrich Kleinekathöfer, Physics, Constructor University Bremen)
Software
Find our recent software contributions for publications and beyond on our Github site https://github.com/SM4DA.
In addition, our software developments include:
- hmglib – Open Source library for hierarchical matrices on GPU (https://github.com/zaspel/hmglib)
- MPLA – Open Source multi-GPU parallel library for dense iterative solvers (https://github.com/zaspel/MPLA)
- QML – Extension of the Open Source Quantum Machine Learning library by multi-fidelity techniques (for now hosted in the fork https://github.com/zaspel/qml)
- UQ on GPU – (Multi-) GPU parallel kernel-based methods for uncertainty quantification in random partial differential equations
- AMG on GPU – Hybrid GPU-based Ruge-Stüben algebraic multigrid
- NaSt3DGPF – Multi-GPU MPI-parallel version of the fluid mechanics solver NaSt3DGPF (https://ins.uni-bonn.de/media/public/u/griebel/NaSt3DGPF/projects.html)