Franz Görlich - Publications
publications
2025
Mapping Still Matters publication

Mapping Still Matters: Coarse-Graining with Machine Learning Potentials

Franz Görlich1 and Julija Zavadlav1,2
1Professorship of Multiscale Modeling of Fluid Materials, Department of Engineering Physics and Computation, TUM School of Engineering and Design, Technical University of Munich, 80333 Munich, Germany
2Atomistic Modeling Center (AMC), Munich Data Science Institute (MDSI), Technical University of Munich, 85748 Garching, Germany

Preprint | DOI: arXiv:2512.07692

Enhanced Sampling publication

Enhanced Sampling for Efficient Learning of Coarse-Grained Machine Learning Potentials

Weilong Chen1, Franz Görlich1, Paul Fuchs1, and Julija Zavadlav1,2
1Professorship of Multiscale Modeling of Fluid Materials, Department of Engineering Physics and Computation, TUM School of Engineering and Design, Technical University of Munich, 80333 Munich, Germany
2Atomistic Modeling Center (AMC), Munich Data Science Institute (MDSI), Technical University of Munich, 85748 Garching, Germany

Journal of Chemical Theory and Computation | DOI: 10.1021/acs.jctc.5c01712

Chemical language model publication

A chemical language model for molecular taste prediction

Yoel Zimmermann1,2, Leif Sieben1,2, Henrik Seng1,2, Philipp Pestlin1,2, & Franz Görlich1,2
1Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland
2These authors contributed equally (authors sorted rev. alphabetical)

npj Science of Food | DOI: 10.1038/s41538-025-00474-z

posters
2025
Hybrid ML poster

Enhanced Sampling for Coarse-Grained Machine Learning Potentials

Weilong Chen1, Franz Görlich1, Paul Fuchs1, Julija Zavadlav∗1,2
1Multiscale Modeling of Fluid Materials, Department of Engineering Physics and Computation, TUM School of Engineering and Design, Technical University of Munich, Germany
2Atomistic Modeling Center (AMC), Munich Data Science Institute (MDSI), Technical University of Munich, Germany
Corresponding Author

EurIPS 2025 · Copenhagen 1st SIMBIOCHEM Workshop Machine Learning for Simulations in Biology and Chemistry | PDF

watoc poster

Hybrid ML and Physics-Based Docking for Metalloproteins

Wojtek Treydea,b, Franz Görlicha,c, and Fernanda Duartea
aChemistry Research Laboratory, and bIneos Oxford Institute for Antimicrobial Research, 12 Mansfield Road, Oxford, OX1 3TA, UK. cDepartment of Chemistry and Applied Life Sciences, ETH Zurich, Vladimir-Prelog-Weg 1-5/10, 8093 Zurich, CH.

WATOC 2025 - 13th Triennial Congress of the World Association of Theoretical and Computational Chemists | PDF