Machine Learning Based Distinguishing between Ferroelectric and Non‐Ferroelectric Polarization–Electric Field Hysteresis Loops

The polarization–electric field (P–E) hysteresis loop is one of the most important criteria for identifying ferroelectricity. However, a P–E loop with apparent hysteresis window can be generated from non‐ferroelectric sources such as leakage current. So far distinguishing between ferroelectric and n...

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Veröffentlicht in:	Advanced theory and simulations 2020-09, Vol.3 (9), p.n/a
Hauptverfasser:	Huang, Qicheng, Fan, Zhen, Hong, Lanqing, Cheng, Shengliang, Tan, Zhengwei, Tian, Guo, Chen, Deyang, Hou, Zhipeng, Qin, Minghui, Zeng, Min, Lu, Xubing, Zhou, Guofu, Gao, Xingsen, Liu, Jun‐Ming
Format:	Artikel
Sprache:	eng
Schlagworte:	ferroelectricity leakage currents machine learning polarization switching P–E hysteresis loops
Online-Zugang:	Volltext
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