Ferroelectric Perovskite/MoS2 Channel Heterojunctions for Wide-Window Nonvolatile Memory and Neuromorphic Computing

被引:0
|
作者
Xu, Haojie [1 ,2 ]
Sun, Fapeng [1 ,2 ]
Li, Enlong [3 ]
Guo, Wuqian [1 ]
Hua, Lina [3 ]
Wang, Ruixue [3 ]
Li, Wenwu [3 ]
Chu, Junhao [3 ]
Liu, Wei [1 ,2 ,4 ]
Luo, Junhua [1 ,2 ,4 ]
Sun, Zhihua [1 ,2 ,4 ]
机构
[1] Chinese Acad Sci, Fujian Inst Res Struct Matter, State Key Lab Struct Chem, Fuzhou 350002, Fujian, Peoples R China
[2] Chinese Acad Sci, Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Fudan Univ, Inst Optoelect, Dept Mat Sci, Shanghai Frontiers Sci Res Base Intelligent Optoel, Shanghai 200433, Peoples R China
[4] Fujian Sci & Technol Innovat Lab Optoelect Informa, Fuzhou 350108, Fujian, Peoples R China
基金
中国博士后科学基金;
关键词
channel heterostructure; charge polarity modulation; ferroelectric semiconductor; hybrid perovskite; memory window; TRANSISTORS;
D O I
10.1002/adma.202414339
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Ferroelectric materials commonly serve as gate insulators in typical field-effect transistors, where their polarization reversal enables effective modulation of the conductivity state of the channel material, thereby realizing non-volatile memory. Currently, novel 2D ferroelectrics unlock new prospects in next-generation electronics and neuromorphic computation. However, the advancement of these materials is impeded by limited selectivity and narrow memory windows. Here, new concepts of 2D ferroelectric perovskite/MoS2 channel heterostructures field-effect transistors are presented, in which 2D ferroelectric perovskite features customizable band structure, few-layered ferroelectricity, and submillimeter-size monolayer wafers. Further studies reveal that these devices exhibit unique charge polarity modulation (from n- to p-type channel) and remarkable nonvolatile memory behavior, especially record-wide hysteresis windows up to 177 V, which enables efficient imitation of biological synapses and achieves high recognition accuracy for electrocardiogram patterns. This result provides a device paradigm for future nonvolatile memory and artificial synaptic applications.
引用
收藏
页数:9
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