Self-supervised probabilistic models for exploring shape memory alloys

Abstract Recent advancements in machine learning (ML) have revolutionized the field of high-performance materials design. However, developing robust ML models to decipher intricate structure-property relationships in materials remains challenging, primarily due to the limited availability of labeled...

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Bibliographic Details

Published in:	npj Computational Materials
Main Authors:	Yiding Wang, Tianqing Li, Hongxiang Zong, Xiangdong Ding, Songhua Xu, Jun Sun, Turab Lookman
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-08-01
Online Access:	https://doi.org/10.1038/s41524-024-01379-3