Machine learning-enabled atomistic insights into phase boundary engineering of solid-solution ferroelectrics

Fuente: arXiv

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Bibliographic Details
Main Authors:	Wen, Weiru, Zeng, Fan-Da, Xu, Ben, Ke, Bi, Xing, Zhipeng, Thong, Hao-Cheng, Wang, Ke
Format:	Preprint
Published:	2025
Subjects:	Materials Science Computational Physics
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2505.05245