Van der Waals ferroelectric semiconductor tunnel junction with ultra‐low switching voltage
Fuqin Sun, Ruihuan Duan, Ziqian Xin, Yinxiao Li, Bingyuan Xue, Zihua Tian, Kejie Guan, Fan Liu 等 18 位
Chinese Academy of Sciences Suzhou Institute of Nano-tech and Nano-bionics Nanyang Technological University Beijing University of Technology
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摘要与影响
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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工程Ferroelectric and Negative Capacitance Devices
Advanced Memory and Neural Computing · 2D Materials and Applications
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