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Construction and Tuning of CALPHAD Models Using Machine-Learned Interatomic Potentials and Experimental Data: A Case Study of the Pt-W System

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Kunselman, Courtney, Zhu, Siya, Sariturk, Doguhan, Arroyave, Raymundo
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Materials Science Computational Physics
Accesso online:	Acceder al recurso
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