电光双模协同控制二维非挥发性浮动门晶体管用于人工突触
Wennan Hu1, Zheng Zhang2, Haoran Sun2
1School of Physics and Electronic Information, Jiangsu Second Normal University, Nanjing 211200, China.
ACS applied materials & interfaces
|December 9, 2025
概括
这项研究介绍了一种新的双模式人工突触,使用MoS2晶体管用于神经形态计算. 该设备提供电气和基于光的控制,增强人工视觉系统,实现高精度的手写数字识别.
科学领域:
- 材料科学 材料科学 材料科学
- 神经科学是一个神经科学.
- 计算机工程 计算机工程
背景情况:
- 二维 (2D) 材料对人工神经网络 (ANN) 和神经形态计算具有前景.
- 目前的设备主要使用电调制,限制了视觉系统中的应用.
研究的目的:
- 为先进的神经形态计算开发一种电光双模式人造突触.
- 为了实现使用电气和光学输入的多功能突触功能.
主要方法:
- 范德瓦尔斯异构结构的MoS2浮动门晶体管的制造.
- 对突触行为进行电气和光学调制的演示.
- 集成到ANN视觉传感器中,用于手写数字分类.
主要成果:
- 该设备具有电气控制的非挥发性可编程性.
- 可调节光的多层存储状态可以实现持续的多层导电性.
- 在手写数字分类任务中实现了91.97%的识别准确度.
结论:
- 基于MoS2的双模式突触为硬件神经形态计算提供了一个新的途径.
- 光电子调制增强了突触可塑性,并使先进的视觉感知成为可能.
- 这项技术有可能用于下一代人工视觉系统.
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