Browse by Projects

Schebek, Maximilian and Invernizzi, Michele and Noé, Frank and Rogal, Jutta (2024) Efficient Mapping of Phase Diagrams with Conditional Boltzmann Generators. Preprint arXiv . (Unpublished)

Wu, Hao and Noé, Frank (2024) Reaction coordinate flows for model reduction of molecular kinetics. The Journal of Chemical Physics, 160 (4).

Charron, Nicholas E. and Musil, Felix and Guljas, Andrea and Chen, Yaoyi and Bonneau, Klara and Pasos-Trejo, Aldo S. and Venturin, Jacopo and Gusew, Daria and Zaporozhets, Iryna and Krämer, Andreas and Templeton, Clark and Kelkar, Atharva and Durumeric, Alexander E.P. and Olsson, Simon and Pérez, Adrià and Majewski, Maciej and Husic, Brooke E. and Patel, Ankit and Fabritiis, Gianni De and Noé, Frank and Clementi, Cecilia (2023) Navigating protein landscapes with a machine-learned transferable coarse-grained model. Preprint . (Unpublished)

Arts, Marloes and Garcia Sattorras, Victor and Huang, Chin-Wei and Zuegner, Daniel and Federici, Marco and Clementi, Cecilia and Noé, Frank and Pinsler, Robert and van den Berg, Rianne (2023) Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics. JCTC - Journal of Chemical Theory and Computation, 19 . pp. 6151-6159.

Majewski, Maciej and Pérez, Adrià and Thölke, Philipp and Doerr, Stefan and Charron, Nicholas E. and Giorgino, Toni and Husic, Brooke E. and Clementi, Cecilia and Noé, Frank and De Fabritiis, Gianni (2023) Machine Learning Coarse-Grained Potentials of Protein Thermodynamics. Nature Communications, 14 .

Dibak, Manuel and Klein, Leon and Krämer, Andreas and Noé, Frank (2022) Temperature steerable flows and Boltzmann generators. Physical Review Research, 4 (4).

Durumeric, Aleksander E.P. and Chen, Yaoyi and Noé, Frank and Clementi, Cecilia Learning data efficient coarse-grained molecular dynamics from forces and noise. Preprint arXiv . (Unpublished)

Noé, Frank and Klein, Leon Transferable Boltzmann Generators. Preprint arXiv . (Unpublished)