@article{636dbb0abfcb4dd1b30f1a0620e54c8e,
title = "Ab initio machine learning of phase space averages",
keywords = "SOLVATION FREE-ENERGIES, ZETA VALENCE QUALITY, MOLECULAR-DYNAMICS, QUANTUM-CHEMISTRY, FORCE-FIELD, BASIS-SETS, PURPOSE MACHINE, COSMO-RS, PROTEIN, EFFICIENT",
author = "Jan Weinreich and Dominik Lemm and {Von Rudorff}, {Guido Falk} and {von Lilienfeld}, {O. Anatole}",
note = "Funding Information: We acknowledge support from the European Research Council (ERC-CoG Grant No. QML). This project received funding from the European Union{\textquoteright}s Horizon 2020 research and innovation program under Grant Agreement No. 772834. This research was also supported by the NCCR MARVEL, a National Center of Competence in Research, funded by the Swiss National Science Foundation (Grant No. 182892). Publisher Copyright: {\textcopyright} 2022 Author(s).",
year = "2022",
month = jul,
day = "14",
doi = "10.1063/5.0095674",
language = "English",
volume = "157",
journal = "Journal of Chemical Physics",
issn = "0021-9606",
publisher = "American Institute of Physics",
number = "2",
}