神经形态工程学
仿真
记忆电阻器
材料科学
可塑性
电阻随机存取存储器
突触可塑性
长时程增强
突触重量
纳米技术
计算机科学
生物系统
电子工程
电压
人工神经网络
化学
物理
人工智能
生物化学
受体
量子力学
工程类
经济
复合材料
生物
经济增长
作者
Song Hao,Yanfang Niu,Shancheng Han,Jingjie Li,Nan Wang,Xiaogan Li
出处
期刊:ACS applied nano materials
[American Chemical Society]
日期:2023-06-23
卷期号:6 (13): 12393-12401
标识
DOI:10.1021/acsanm.3c02076
摘要
Combining the intrinsic superiorities of two-dimensional materials and the emerging demand for neuromorphic computing, two-dimensional memristors have achieved huge advances in materials exploration and synaptic functionality emulation. However, their neuromorphic applications are still in the early stage since digital memristive behaviors for most of them are inconsistent with gradual biological synaptic plasticity. Here, we developed a simple approach to realize analog and thermal tunable memristive behaviors by introducing sulfur vacancies in CVD-grown In2Se3 nanoflakes through secondary sulfurization treatment. The density functional theory and ab initio molecular dynamics simulations confirm that sulfurized and defective In2Se3 can remain thermal stability at elevated temperatures up to 550 K. Therefore, we systematically investigated the temperature-dependent analog and tunable memristive behaviors and realized linear weight update with ultrawide dynamic range in sulfurized In2Se3 at high temperatures. The developed memristive device successfully emulates bio-realistic synaptic functionalities including transformation from short- to long-term plasticity, paired-pulse facilitation, posttetanic potentiation, spike-amplitude-dependent plasticity, spike-rate-dependent plasticity, and spike-time-dependent plasticity effects. It is unveiled that the formation energy of sulfur vacancy is greatly smaller than that of selenium, while their roughly same migration barriers can be modulated by electric field and temperature. Therefore, we put forward that the applied electric field can mediate vacancy migration in the sulfurized In2Se3 to gradually regulate the conductance, thereby realizing the emulation of synaptic plasticity. This work provides a promising approach to designing bio-plausible memristive devices for robust neuromorphic applications at high temperatures.
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