Neural Network Potential with Multiresolution Approach Enables Accurate Prediction of Reaction Free Energies in Solution
F
Felix Pultar
(Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 2, 8093 Zürich, Switzerland)
M
Moritz Thürlemann
(Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 2, 8093 Zürich, Switzerland)
I
Igor Gordiy
(Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 2, 8093 Zürich, Switzerland)
E
Eva Doloszeski
(Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 2, Zürich 8093, Switzerland)
S
Sereina Riniker
(Department of Chemistry and Applied Biosciences, ETH Zurich, Vladimir-Prelog-Weg 2, Zurich 8093, Switzerland)
Article Details
Volume / Issue
Vol. 147, Issue 8
Published
February 26, 2025
Pages
6835-6856
ISSN
0002-7863
Publisher
American Chemical Society
Journal Info
Journal of the American Chemical Society
American Chemical Society
ISSN: 0002-7863 Physical Sciences
Authors (5)
F
Felix Pultar
Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 2, 8093 Zürich, Switzerland
M
Moritz Thürlemann
Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 2, 8093 Zürich, Switzerland
I
Igor Gordiy
Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 2, 8093 Zürich, Switzerland
E
Eva Doloszeski
Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 2, Zürich 8093, Switzerland
S
Sereina Riniker
Department of Chemistry and Applied Biosciences, ETH Zurich, Vladimir-Prelog-Weg 2, Zurich 8093, Switzerland
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