Topological data analysis assisted machine learning for polar topological structures in oxide superlattices

Ferroelectric topological phases and phase transitions have been extensively investigated recently due to the rich physical insights and potential applications in next-generation electronic devices. However, precisely predicting the topological phase transitions under different internal and external...

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Bibliographic Details

Published in:	Acta materialia Vol. 282; p. 120467
Main Authors:	Du, Guanshihan, Zhou, Linming, Huang, Yuhui, Wu, Yongjun, Hong, Zijian
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.01.2025
Subjects:	Machine learning Persistent homology Polar topological structures Topological data analysis Persistent homology Polar topological structures Topological data analysis Machine learning
ISSN:	1359-6454
Online Access:	Get full text
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