General-Purpose Machine-Learned Potential for CrCoNi Alloys Enabling Large-Scale Atomistic Simulations with First-Principles Accuracy

Fuente: arXiv

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Bibliographic Details
Main Authors:	Wu, Yong-Chao, Mäkinen, Tero, Alava, Mikko, Esfandiarpour, Amin
Format:	Preprint
Published:	2026
Subjects:	Materials Science Computational Physics
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2603.25616