Journal of Advanced Dielectrics, Volume. 12, Issue 3, 2250005(2022)
Experimental search for high-performance ferroelectric tunnel junctions guided by machine learning
Jingjing Rao1,2, Zhen Fan1,2、*, Qicheng Huang1, Yongjian Luo1, Xingmin Zhang3, Haizhong Guo4, Xiaobing Yan5, Guo Tian1, Deyang Chen1, Zhipeng Hou1, Minghui Qin1, Min Zeng1, Xubing Lu1, Guofu Zhou1,2, Xingsen Gao1, and Jun-Ming Liu6
Author Affiliations
1Institute for Advanced Materials, South China Normal University, Guangzhou 510006, P. R. China2Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, South China Normal University, Guangzhou 510006, P. R. China3Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201204, P. R. China4School of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450001, P. R. China5Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, Hebei University, Baoding 071002, P. R. China6Laboratory of Solid State Microstructures and Innovation Center of Advanced, Nanjing 210093, P. R. Chinashow less
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Jingjing Rao, Zhen Fan, Qicheng Huang, Yongjian Luo, Xingmin Zhang, Haizhong Guo, Xiaobing Yan, Guo Tian, Deyang Chen, Zhipeng Hou, Minghui Qin, Min Zeng, Xubing Lu, Guofu Zhou, Xingsen Gao, Jun-Ming Liu. Experimental search for high-performance ferroelectric tunnel junctions guided by machine learning[J]. Journal of Advanced Dielectrics, 2022, 12(3): 2250005
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