at Google ScholarTitle data
Staacke, Carsten G. ; Huss, Tabea ; Margraf, Johannes T. ; Reuter, Karsten ; Scheurer, Christoph:
Tackling structural complexity in Li₂S-P₂S₅ Solid-State Electrolytes using Machine Learning Potentials.
In: Nanomaterials.
Vol. 12
(2022)
Issue 17
.
- 2950.
ISSN 2079-4991
DOI: https://doi.org/10.3390/nano12172950
Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | Yes |
| Institutions of the University: | Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Chemistry > Chair Künstliche Intelligenz in der physiko-chemischen Materialanalytik Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Chemistry > Chair Künstliche Intelligenz in der physiko-chemischen Materialanalytik > Chair Künstliche Intelligenz in der physiko-chemischen Materialanalytik - Univ.-Prof. Dr. Johannes Theo Margraf |
| Result of work at the UBT: | No |
| DDC Subjects: | 500 Science > 540 Chemistry |
| Date Deposited: | 13 Nov 2023 13:36 |
| Last Modified: | 13 Nov 2023 13:36 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/87660 |