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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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:EN
Published: Nature Portfolio 2020
Subjects:
Materials of engineering and construction. Mechanics of materials
TA401-492
Atomic physics. Constitution and properties of matter
QC170-197
Online Access:https://doaj.org/article/9fd7756e0a2243eca6471c1fc39dba76
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https://doaj.org/article/9fd7756e0a2243eca6471c1fc39dba76

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