Experimental search for high-performance ferroelectric tunnel junctions guided by machine learning

Experimental search for high-performance ferroelectric tunnel junctions guided by machine learning

Ferroelectric tunnel junction (FTJ) has attracted considerable attention for its potential applications in nonvolatile memory and neuromorphic computing. However, the experimental exploration of FTJs with high ON/OFF ratios is a challenging task due to the vast search space comprising of ferroelectr...

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Bibliographic Details
Main Authors: Chen, D. (Author), Fan, Z. (Author), Gao, X. (Author), Guo, H. (Author), Hou, Z. (Author), Huang, Q. (Author), Liu, J.-M (Author), Lu, X. (Author), Luo, Y. (Author), Qin, M. (Author), Rao, J. (Author), Tian, G. (Author), Yan, X. (Author), Zeng, M. (Author), Zhang, X. (Author), Zhou, G. (Author)
Format: Article
Language:English
Published: World Scientific 2022
Subjects:
ferroelectric tunnel junctions
Machine learning
nonvolatile memory
ON/OFF ratio
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