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On the Robustness of Machine Learning Models in Predicting Thermodynamic Properties: a Case of Searching for New Quasicrystal Approximants

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Avilov, Fedor S., Eremin, Roman A., Budennyy, Semen A., Humonen, Innokentiy S.
Formato:	Preprint
Publicado:	2024
Materias:	Computational Physics Materials Science Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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