Data-driven computational prediction and experimental realization of exotic perovskite-related polar magnets

Data-driven computational prediction and experimental realization of exotic perovskite-related polar magnets

Abstract Rational design of technologically important exotic perovskites is hampered by the insufficient geometrical descriptors and costly and extremely high-pressure synthesis, while the big-data driven compositional identification and precise prediction entangles full understanding of the possibl...

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Bibliographic Details
Main Authors: Yifeng Han, Meixia Wu, Churen Gui, Chuanhui Zhu, Zhongxiong Sun, Mei-Huan Zhao, Aleksandra A. Savina, Artem M. Abakumov, Biao Wang, Feng Huang, LunHua He, Jie Chen, Qingzhen Huang, Mark Croft, Steven Ehrlich, Syed Khalid, Zheng Deng, Changqing Jin, Christoph P. Grams, Joachim Hemberger, Xueyun Wang, Jiawang Hong, Umut Adem, Meng Ye, Shuai Dong, Man-Rong Li
Format: Article
Language:English
Published: Nature Publishing Group 2020-12-01
Series:npj Quantum Materials
Online Access:https://doi.org/10.1038/s41535-020-00294-2

Internet

https://doi.org/10.1038/s41535-020-00294-2

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