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Sebastien Röcken — most-cited papers & profile · AI for Science
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Sebastien Röcken
3
papers ·
9
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Enhancing Machine Learning Potentials through Transfer Learning across Chemical Elements
2025 · 7 citations
chemtrain: Learning Deep Potential Models via Automatic Differentiation and Statistical Physics
2024 · 2 citations
Accurate machine learning force fields via experimental and simulation data fusion
2023
Top co-authors
Julija Zavadlav
· 3
Paul Fuchs
· 1
Stephan Thaler
· 1
Topics
Chemistry
Materials
Physics ML