Sebastien Röcken

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
Email s.roecken@tum.de

 

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Research and Interests

  • Machine Leaning in Molecular Dynamics
  • Multiscale Modeling and Simulations

Education

2020

M.Sc. in Mechanical Engineering
Technical University of Munich, Germany

2017

B.Sc. in Mechanical Engineering
Karlsruhe Institute of Technology, Germany
ETH Zürich, Switzerland (Bachelor Thesis)
Politecnico di Torino, Italy (Erasmus)

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 

Teaching

  • Lecturer: Physics of Fluids, WiSe 2023/24
  • TA: Physics-Informed Machine Learning, SoSe 2023
  • TA: Hand-On Deep Learning Praktikum, WiSe 2022/23
  • TA: Physics of Fluids, WiSe 2022/23
  • TA: Physics-Informed Machine Learning, SoSe 2022
  • TA: Physics-Informed Machine Learning, SoSe 2021