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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Bibliographic Details
Main Authors:	Avilov, Fedor S., Eremin, Roman A., Budennyy, Semen A., Humonen, Innokentiy S.
Format:	Preprint
Published:	2024
Subjects:	Computational Physics Materials Science Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2410.13873