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Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Li, Chaojian, Ye, Zhifan, Pasini, Massimiliano Lupo, Choi, Jong Youl, Wan, Cheng, Lin, Yingyan Celine, Balaprakash, Prasanna
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Materials Science
Accesso online:	Acceder al recurso
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