Hard antiphase domain boundaries in strontium titanate unravelled using machine-learned force fields
- Author(s)
- A. Tröster, C. Verdi, C. Dellago, I. Rychetsky, G. Kresse, W. Schranz
- Organisation(s)
- Computational and Soft Matter Physics, Computational Materials Physics, Physics of Functional Materials
- External organisation(s)
- Czech Academy of Sciences
- Journal
- Physical Review Materials
- Volume
- 6
- No. of pages
- 8
- ISSN
- 2475-9953
- DOI
- https://doi.org/10.1103/PhysRevMaterials.6.094408
- Publication date
- 09-2022
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 102019 Machine learning, 103018 Materials physics
- Keywords
- ASJC Scopus subject areas
- Materials Science(all), Physics and Astronomy (miscellaneous)
- Portal url
- https://ucris.univie.ac.at/portal/en/publications/hard-antiphase-domain-boundaries-in-strontium-titanate-unravelled-using-machinelearned-force-fields(c7b83cd9-f49e-4876-8e48-b2dae26071de).html