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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Vydané v:	Acta materialia Ročník 282; s. 120467
Hlavní autori:	Du, Guanshihan, Zhou, Linming, Huang, Yuhui, Wu, Yongjun, Hong, Zijian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.01.2025
Predmet:	Machine learning Persistent homology Polar topological structures Topological data analysis Persistent homology Polar topological structures Topological data analysis Machine learning
ISSN:	1359-6454
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