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Tackling structural complexity in Li₂S-P₂S₅ Solid-State Electrolytes using Machine Learning Potentials

Title 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