用于存储和神经形态应用的In2Se3器件的自由选择模拟和数字电阻开关行为

IF 5.3 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Siying Tian, Changhao Wang, Yuanjie Wang, Honghao Wang, Chenxi Gao, Weisen Hu, Jia Wei, Fengling Chen, Dapeng Sun, Xu Zheng, Chaobo Li, Chujun Yin
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引用次数: 0

摘要

数字存储和模拟存储分别以其稳定性强和信息密度高而在不同领域大放异彩,而可自由选择的数字和模拟电阻开关应用备受关注。本文报道了一种在简单结构中集成模拟和数字电阻性开关行为的多功能器件,实现了自由选择非易失性数字存储、基于铁电极化诱导模拟电阻性开关行为的人工突触行为、神经网络计算和可重构逻辑功能。该非易失性数字存储器具有低工作电压(≈1 ~ 2 V)和高保持稳定性(>;该模拟电阻开关具有128电平电导和优异的人工突触性能,具有大动态范围(≈196)、高线性度(≈0.84)和低功耗。考虑到频带弯曲的调制效应是一个经常被忽视但至关重要的因素,分析优化器件性能背后的机制,进一步为In2Se3器件的多功能应用提供支持和扩展。实现了用于手写数字识别的可重构逻辑函数和具有轮廓学习精度(≈89%)的人工神经网络。该设计为二维铁电器件的分析提供了新的见解,并为简化和多功能存储计算设备提供了巨大的希望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

Freely Selective Analog and Digital Resistive Switching Behavior of In2Se3 Devices for Storage and Neuromorphic Applications
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 (≈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 (≈196), high linearity (≈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 (≈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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来源期刊
Advanced Electronic Materials
Advanced Electronic Materials NANOSCIENCE & NANOTECHNOLOGYMATERIALS SCIE-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
11.00
自引率
3.20%
发文量
433
期刊介绍: Advanced Electronic Materials is an interdisciplinary forum for peer-reviewed, high-quality, high-impact research in the fields of materials science, physics, and engineering of electronic and magnetic materials. It includes research on physics and physical properties of electronic and magnetic materials, spintronics, electronics, device physics and engineering, micro- and nano-electromechanical systems, and organic electronics, in addition to fundamental research.
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