Ab Initio Machine Learning in Chemical Compound Space
- Author(s)
- Bing Huang, O. Anatole von Lilienfeld
- Organisation(s)
- Computational Materials Physics
- External organisation(s)
- Universität Basel
- Journal
- Chemical Reviews
- Volume
- 121
- Pages
- 10001-10036
- No. of pages
- 36
- ISSN
- 0009-2665
- DOI
- https://doi.org/10.1021/acs.chemrev.0c01303
- Publication date
- 08-2021
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 103025 Quantum mechanics, 104017 Physical chemistry, 102019 Machine learning
- Keywords
- ASJC Scopus subject areas
- Chemistry(all)
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/ab-initio-machine-learning-in-chemical-compound-space(d537baf9-effe-4f31-a23c-3c6fc2cc1a41).html