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Reward driven workflows for unsupervised explainable analysis of phases and ferroic variants from atomically resolved imaging data

Fuente: arXiv

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Bibliographic Details
Main Authors:	Barakati, Kamyar, Liu, Yu, Nelson, Chris, Ziatdinov, Maxim A., Zhang, Xiaohang, Takeuchi, Ichiro, Kalinin, Sergei V.
Format:	Preprint
Published:	2024
Subjects:	Materials Science Human-Computer Interaction Machine Learning
Online Access:	Acceder al recurso
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