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Can machines learn density functionals? Past, present, and future of ML in DFT

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Akashi, Ryosuke, Sogal, Mihira, Burke, Kieron
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computational Physics Materials Science Chemical Physics
Accesso online:	Acceder al recurso
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