Articles with public access mandates - Félix MusilLearn more
Available somewhere: 13
Physics-inspired structural representations for molecules and materials
F Musil, A Grisafi, AP Bartók, C Ortner, G Csányi, M Ceriotti
Chemical Reviews 121 (16), 9759-9815, 2021
Mandates: Swiss National Science Foundation
Chemical shifts in molecular solids by machine learning
FM Paruzzo, A Hofstetter, F Musil, S De, M Ceriotti, L Emsley
Nature communications 9 (1), 4501, 2018
Mandates: Swiss National Science Foundation, European Commission
Machine learning for the structure–energy–property landscapes of molecular crystals
F Musil, S De, J Yang, JE Campbell, GM Day, M Ceriotti
Chemical science 9 (5), 1289-1300, 2018
Mandates: Swiss National Science Foundation, US National Institutes of Health …
Atom-density representations for machine learning
MJ Willatt, F Musil, M Ceriotti
The Journal of chemical physics 150 (15), 154110, 2019
Mandates: Swiss National Science Foundation, European Commission
Fast and Accurate Uncertainty Estimation in Chemical Machine Learning
F Musil, MJ Willatt, MA Langovoy, M Ceriotti
Journal of chemical theory and computation 15 (2), 906-915, 2019
Mandates: Swiss National Science Foundation, European Commission
Feature optimization for atomistic machine learning yields a data-driven construction of the periodic table of the elements
MJ Willatt, F Musil, M Ceriotti
Physical Chemistry Chemical Physics 20 (47), 29661-29668, 2018
Mandates: Swiss National Science Foundation, European Commission
The GBS code for tokamak scrape-off layer simulations
FD Halpern, P Ricci, S Jolliet, J Loizu, J Morales, A Mosetto, F Musil, ...
Journal of Computational Physics 315, 388-408, 2016
Mandates: Swiss National Science Foundation, European Commission
Efficient implementation of atom-density representations
F Musil, M Veit, A Goscinski, G Fraux, MJ Willatt, M Stricker, T Junge, ...
The Journal of Chemical Physics 154 (11), 114109, 2021
Mandates: Swiss National Science Foundation, European Commission
Machine learned coarse-grained protein force-fields: Are we there yet?
AEP Durumeric, NE Charron, C Templeton, F Musil, K Bonneau, ...
Current Opinion in Structural Biology 79, 102533, 2023
Mandates: US National Science Foundation, Swiss National Science Foundation, US …
Data science based Mg corrosion engineering
T Würger, C Feiler, F Musil, GBV Feldbauer, D Höche, SV Lamaka, ...
Frontiers in Materials 6, 53, 2019
Mandates: Swiss National Science Foundation, German Research Foundation
Blob properties in full-turbulence simulations of the TCV scrape-off layer
F Nespoli, I Furno, B Labit, P Ricci, F Avino, FD Halpern, F Musil, F Riva
Plasma Physics and Controlled Fusion 59 (5), 055009, 2017
Mandates: European Commission
Quantum dynamics using path integral coarse-graining
F Musil, I Zaporozhets, F Noé, C Clementi, V Kapil
The Journal of Chemical Physics 157 (18), 181102, 2022
Mandates: US National Science Foundation, Swiss National Science Foundation, German …
Optimal radial basis for density-based atomic representations
A Goscinski, F Musil, S Pozdnyakov, J Nigam, M Ceriotti
The Journal of Chemical Physics 155 (10), 104106, 2021
Mandates: Swiss National Science Foundation
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