材料科学
范德瓦尔斯力
光电子学
晶体管
铁电性
极化(电化学)
电压
人工神经网络
纳米技术
突触
场效应晶体管
异质结
硅
物联网
神经形态工程学
集成光学
光学计算
作者
Xicheng Zhang,Jianpei Xing,Yuqing Zhou,Kaiming Wang,Ruidong Lv,Li Sun,Ming Xu
出处
期刊:Nanotechnology
[IOP Publishing]
日期:2026-05-19
卷期号:37 (22): 225203-225203
标识
DOI:10.1088/1361-6528/ae6fc2
摘要
Abstract The rapid development of artificial intelligence has resulted in the exploitation of bio-inspired visual systems for in-sensor optoelectronic computing. To achieve this, we propose a bioinspired flexible two-terminal optoelectronic synapse enabled by a van der Waals (vdW) ferroelectric field-effect transistor (FeFET) with the metal-ferroelectric-metal-insulator-semiconductor architecture. The MoS 2 /h-BN/graphene/CuInP 2 S 6 (CIPS) vdW FeFET exhibits drain voltage ( V ds )/light pulses-modulated ferroelectric polarization state and synaptic plasticity. Consequently, the device has the capacity to emulate a range of neural synaptic functions. Based on the flexible two-terminal optoelectronic synapse, we further simulate an optoelectronic neural network based on the two-terminal vdW FeFET synapses array with an image recognition accuracy of >90%. Thus, the demonstrated device characteristics hold the potential for the development of future flexible in-sensor optoelectronic computing applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI