Cartesian atomic moment machine learning interatomic potentials
Wen, Mingjian ; Huang, Wei-Fan ; Dai, Jin ; Adhikari, Santosh
- Link zu diesem Datensatz
- https://d-nb.info/1371392161
- Titel
- Cartesian atomic moment machine learning interatomic potentials
- Art des Inhalts
- Teil eines Werks
- Verfassangaben
- by Mingjian Wen, Wei-Fan Huang, Jin Dai, Santosh Adhikari
- Autor(en)
-
- Wen, Mingjian
- Huang, Wei-Fan
- Dai, Jin
- Adhikari, Santosh
- Organisation(en)
-
- SpringerLink (Online service)
- Zeitliche Einordnung
- Erscheinungsdatum: 2025
- Umfang/Format
- 1 Online-Ressource.
- DOI
- 10.1038/s41524-025-01623-4
- Online
- https://doi.org/10.1038/s41524-025-01623-4
- Sprache
- eng
- Schlagwörter
-
- (lcsh)Materials science.
- (lcsh)Materials—Analysis.
- (lcsh)Engineering mathematics.
- (lcsh)Engineering—Data processing.
- (lcsh)Mathematical physics.
- (lcsh)Computational intelligence.
- (lcsh)Mathematical models.
- Materials Science.
- Characterization and Analytical Technique.
- Mathematical and Computational Engineering Applications.
- Theoretical, Mathematical and Computational Physics.
- Computational Intelligence.
- Mathematical Modeling and Industrial Mathematics.
- Frühere/spätere Titel
-
- Enthalten in: npj computational materials
- Enthalten in: npj computational materials
- Enthalten in: npj computational materials
- Stand
- 14.07.2025 18:05
- Im Katalog seit
- 07.03.2026