Accelerating CALPHAD-based Phase Diagram Predictions in Complex Alloys Using Universal Machine Learning Potentials: Opportunities and Challenges

Fuente: arXiv

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Bibliographic Details
Main Authors:	Zhu, Siya, Arróyave, Raymundo, Sarıtürk, Doğuhan
Format:	Preprint
Published:	2024
Subjects:	Materials Science Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2411.15351