Predicting oxidation and spin states by high-dimensional neural networks: Applications to lithium manganese oxide spinels
2020 | journal article; research paper. A publication of Göttingen
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Cite this publication
Predicting oxidation and spin states by high-dimensional neural networks: Applications to lithium manganese oxide spinels
Eckhoff, M.; Lausch, K. N.; Blöchl, P. E. & Behler, J. (2020)
The Journal of Chemical Physics, 153(16) pp. 164107. DOI: https://doi.org/10.1063/5.0021452
Documents & Media
Details
- Authors
- Eckhoff, Marco; Lausch, Knut Nikolas; Blöchl, Peter E. ; Behler, Jörg
- Issue Date
- 2020
- Journal
- The Journal of Chemical Physics
- Project
- SFB 1073: Kontrolle von Energiewandlung auf atomaren Skalen
SFB 1073 | Topical Area C | C03 Vom Elektronentransfer zur chemischen Energiespeicherung: ab-initio Untersuchungen korrelierter Prozesse - ISSN
- 0021-9606
- eISSN
- 1089-7690
- Language
- English
