Van der Waals ferroelectric semiconductor tunnel junction with ultra‐low switching voltage

Abstract Ferroelectric tunnel junctions (FTJs) hold great promise for neuromorphic computing due to their advantages of low energy consumption, high speed, and nonvolatile multi‐level resistance states. However, achieving a programming voltage below 1 V in FTJs, a critical requirement for neuromorphic computing, is hindered by the high energy barrier of traditional ferroelectric materials. Here, we report an all‐two‐dimensional (2D) FTJ based on the van der Waals (vdW) ferroelectric semiconductor AgBiP 2 Se 6 . Benefiting from the low polarization‐switching barrier of AgBiP 2 Se 6 and the high‐quality interface of the all‐2D structure, the vdW ferroelectric semiconductor tunnel junction (FSTJ) demonstrates robust memory characteristics. Reproducible DC resistive switching over 600 cycles at an operating voltage below 0.2 V can be achieved in the FSTJ, coupled with outstanding memory performance including long data retention (>10 4 s) and a fast write speed of 100 ns. Beyond basic memory functions, the device also serves as a promising platform for neuromorphic computing. Potentiation and depression (LTP/LTD) synaptic behaviors with high linearity (0.68 for LTP, 0.23 for LTD) and symmetricity (94.7) can be emulated at a minimum programming voltage of 0.05 V, enabling successful system‐level image recognition simulations. These results highlight the potential of vdW FSTJs for low‐power memory and neuromorphic computing applications. image

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Journal
InfoMat
Published
2026-09-15
DOI
https://doi.org/10.1002/inf2.70186
Primary Topic
2D Materials and Applications
Type
article
Field-Weighted Citation Impact
0.00

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Van der Waals ferroelectric semiconductor tunnel junction with ultra‐low switching voltage

Kejie Guan, Ruihuan Duan, Xiaoshuang Gou, Yinxiao Li et al.
InfoMat
2D Materials and Applications
article

Van der Waals ferroelectric semiconductor tunnel junction with ultra‐low switching voltage

Kejie Guan, Ruihuan Duan, Xiaoshuang Gou, Yinxiao Li, Fuqin Sun, Weifan Zhou, Xiaowei Wang, Fan Liu, Zheng Liu, Cheng Zhang, Ting Zhang, Yingyi Wang, Jia Shi, Zihua Tian, Lin Liu, Bingyuan Xue, Ziqian Xin, Zhao Wang
article en

Abstract

Abstract Ferroelectric tunnel junctions (FTJs) hold great promise for neuromorphic computing due to their advantages of low energy consumption, high speed, and nonvolatile multi‐level resistance states. However, achieving a programming voltage below 1 V in FTJs, a critical requirement for neuromorphic computing, is hindered by the high energy barrier of traditional ferroelectric materials. Here, we report an all‐two‐dimensional (2D) FTJ based on the van der Waals (vdW) ferroelectric semiconductor AgBiP 2 Se 6 . Benefiting from the low polarization‐switching barrier of AgBiP 2 Se 6 and the high‐quality interface of the all‐2D structure, the vdW ferroelectric semiconductor tunnel junction (FSTJ) demonstrates robust memory characteristics. Reproducible DC resistive switching over 600 cycles at an operating voltage below 0.2 V can be achieved in the FSTJ, coupled with outstanding memory performance including long data retention (>10 4 s) and a fast write speed of 100 ns. Beyond basic memory functions, the device also serves as a promising platform for neuromorphic computing. Potentiation and depression (LTP/LTD) synaptic behaviors with high linearity (0.68 for LTP, 0.23 for LTD) and symmetricity (94.7) can be emulated at a minimum programming voltage of 0.05 V, enabling successful system‐level image recognition simulations. These results highlight the potential of vdW FSTJs for low‐power memory and neuromorphic computing applications. image

InfoMat
Beijing Institute of Technology (CN), University of Science and Technology of China (CN), Nanyang Technological University (SG), Suzhou University of Science and Technology (CN), Beijing Institute of Optoelectronic Technology (CN), Suzhou Institute of Nano-tech and Nano-bionics (CN)
National Research Foundation, Agency for Science, Technology and Research, National Research Foundation Singapore, Ministry of Education - Singapore, National Natural Science Foundation of China, Chinese Academy of Sciences, Government of Jiangsu Province, Ministry of Education, India, Natural Science Foundation of Jiangsu Province, Suzhou Institute of Nanotechnology, Chinese Academy of Sciences
Affordable and clean energy
Openalex Percentile: Top 25%
2D Materials and Applications
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