Phase Transitions of Hybrid Perovskites Simulated by Machine-Learning Force Fields Trained on the Fly with Bayesian Inference
- Author(s)
- Ryosuke Jinnouchi, Jonathan Lahnsteiner, Ferenc Karsai, Georg Kresse, Menno Bokdam
- Organisation(s)
- Computational Materials Physics
- External organisation(s)
- Toyota Central R&D Labs., Inc., VASP Software GmbH
- Journal
- Physical Review Letters
- Volume
- 122
- No. of pages
- 5
- ISSN
- 0031-9007
- DOI
- https://doi.org/10.1103/PhysRevLett.122.225701
- Publication date
- 06-2019
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 103018 Materials physics
- Keywords
- ASJC Scopus subject areas
- General Physics and Astronomy
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/1ad2c78b-2d4b-4a68-b137-9d1ab4bb6c25