Address | Multiscale Modeling of Fluid Materials Faculty of Mechanical Engineering, TUM Boltzmannstr. 15 85748 Garching near Munich, Germany |
Office | Building 1, 2nd floor, room 5501.02.128 |
Phone | +49 (89) 289 - 55301 |
s.roecken(at)tum.de |
Education
2020 | M.Sc. in Mechanical Engineering Technical University of Munich, Germany |
2017 | B.Sc. in Mechanical Engineering |
Publications
- Poster Presentation at PASC24 on "Accurate machine learning force fields via experimental and simulation data fusion" (June 2024)
- Röcken, Sebastien, Anton F. Burnet, and Julija Zavadlav. Predicting solvation free energies with an implicit solvent machine learning potential. https://arxiv.org/abs/2406.00183
- Invited talk at SIAM Conference on Mathematical Aspects of Materials Science (MS24) on "Deep Molecular Modelig via Experimental and Simulation Data Fusion" (May 2024)
- Röcken, Sebastien, and Julija Zavadlav. Accurate machine learning force fields via experimental and simulation data fusion. npj Comput. Mater. 10, 2024, DOI: 10.1038/s41524-024-01251-4