Machine learning meets chemical physics
- Author(s)
- Michele Ceriotti, Cecilia Clementi, O. Anatole von Lilienfeld
- Organisation(s)
- Computational Materials Physics
- External organisation(s)
- Freie Universität Berlin (FU), École polytechnique fédérale de Lausanne
- Journal
- Journal of Chemical Physics
- Volume
- 154
- No. of pages
- 1
- ISSN
- 0021-9606
- DOI
- https://doi.org/10.1063/5.0051418
- Publication date
- 04-2021
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 103006 Chemical physics, 103018 Materials physics
- ASJC Scopus subject areas
- Physics and Astronomy(all), Physical and Theoretical Chemistry
- Portal url
- https://ucris.univie.ac.at/portal/en/publications/machine-learning-meets-chemical-physics(a96cbaf2-8944-419a-84d6-c530c707b710).html