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Sebastien

Röcken

Sebastien Röcken is a 4th year PhD student in computational molecular dynamics at the chair of Multiscale Modeling of Fluid Materials (TUM). His work focuses on methodological advances in extending molecular dynamics with machine learning approaches. His recent work presents a method for coupling experimental and ab initio data to yield highly accurate machine learning potentials. Future interests include machine learning applications in developing drugs and sustainable materials. For contact, reach out at: s.roecken@tum.de

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Poster

P02 - Accurate Machine Learning Force Fields via Experimental and Simulation Data Fusion

Tuesday, June 27, 2023 19:30
Climate, Weather and Earth Sciences
Chemistry and Materials
Computer Science, Machine Learning, and Applied Mathematics
Applied Social Sciences and Humanities
Engineering
Life Sciences
Physics
With
Sebastien Röcken, Julija Zavadlav