Freely Selective Analog and Digital Resistive Switching Behavior of In2Se3 Devices for Storage and Neuromorphic Applications

被引:0
|
作者
Tian, Siying [1 ,2 ]
Wang, Changhao [1 ,2 ]
Wang, Yuanjie [1 ,2 ]
Wang, Honghao [1 ,2 ]
Gao, Chenxi [1 ,2 ]
Hu, Weisen [1 ,2 ]
Wei, Jia [1 ,2 ]
Chen, Fengling [1 ]
Sun, Dapeng [1 ]
Zheng, Xu [1 ]
Li, Chaobo [1 ]
Yin, Chujun [1 ]
机构
[1] Chinese Acad Sci, Inst Microelect, 3 Beitucheng West Rd, Beijing 100029, Peoples R China
[2] Univ Chinese Acad Sci, 19 A Yuquan Rd, Beijing 100049, Peoples R China
基金
中国国家自然科学基金;
关键词
analog and digital resistive switching; ferroelectric semiconductor alpha-In2Se3; neuromorphic computing; performance modulation; reconfigurable multifunctional devices; MEMORY; ARRAYS;
D O I
10.1002/aelm.202400734
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Digital storage and analog storage shine in different fields mainly due to their strong stability and high information density, respectively, while the freely selective digital and analog resistance switching applications are a matter of great concern. Here, a multi-functional device integrated with analog and digital resistive switching behavior in a simple structure is reported, achieving functions of freely selective non-volatile digital storage, artificial synaptic behavior based on ferroelectric polarization-inducing analog resistive switching behavior, neural network computing, and reconfigurable logic functions. The non-volatile digital memory exhibits a low operating voltage (approximate to 1-2 V) and high retention stability (> 2000 s). The analog resistive switching behavior exhibits 128-level conductance and excellent artificial synaptic performance with a large dynamic range (approximate to 196), high linearity (approximate to 0.84), and low power consumption. The modulation effect of band bending, an often underappreciated yet crucial element, is considered to analyze the mechanisms behind the optimized device performance, further providing support and expansion for the multifunctional applications of In2Se3 devices. Reconfigurable logic functions and an artificial neural network (ANN) with outline learning accuracy (approximate to 89%) for handwritten digit recognition are achieved. This design provides new insights into the analysis of 2D ferroelectric devices and holds great promise for simplified and multi-functional storage-computing devices.
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页数:11
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