When More Data Hurts: Optimizing Data Coverage While Mitigating Diversity Induced Underfitting in an Ultra-Fast Machine-Learned Potential

Fuente: arXiv

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Bibliographic Details
Main Authors:	Gibson, Jason B., Janicki, Tesia D., Hire, Ajinkya C., Bishop, Chris, Lane, J. Matthew D., Hennig, Richard G.
Format:	Preprint
Published:	2024
Subjects:	Materials Science Machine Learning Computational Physics
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2409.07610