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Machine Learned Potential for High-Throughput Phonon Calculations of Metal-Organic Frameworks

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Elena, Alin Marin, Kamath, Prathami Divakar, Inizan, Théo Jaffrelot, Rosen, Andrew S., Zanca, Federica, Persson, Kristin A.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Materials Science Chemical Physics
Accesso online:	Acceder al recurso
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