Machine Learning Potentials Illuminate Nuclear Quantum Effects in Water - Journal Club for Condensed Matter Physics
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Machine Learning Potentials Illuminate Nuclear Quantum Effects in Water - Journal Club for Condensed Matter Physics
Nuclear Quantum Effects in Liquid Water Are Marginal for Its Average Structure but Significant for Dynamics Authors: Nore Stolte, János Daru, Harald Forbert, Jörg Behler, and Dominik Marx J. Phys. Chem. Lett. 15, 12144 (2024), DOI: 10.1021/acs.jpclett.4c02925 Recommended with a commentary by David Beyer (University of Stuttgart) and Zhen-Gang Wang (Caltech) View Commentary (pdf)| This commentary may be cited as: DOI: 10.36471/JCCM_May_2025_01 …
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