Improved description of atomic environments using low-cost polynomial functions with compact support
- Author(s)
- Martin P. Bircher, Andreas Singraber, Christoph Dellago
- Organisation(s)
- Computational and Soft Matter Physics
- External organisation(s)
- Technische Universität Wien, University of Vienna
- Journal
- Machine Learning: Science and Technology
- Volume
- 2
- No. of pages
- 17
- ISSN
- 2632-2153
- DOI
- https://doi.org/10.1088/2632-2153/abf817
- Publication date
- 09-2021
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 102019 Machine learning, 103043 Computational physics, 103015 Condensed matter
- Keywords
- ASJC Scopus subject areas
- Artificial Intelligence, Human-Computer Interaction, Software
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/ed100b21-ca32-45db-93e4-6243a22361e6