材料科学
铁电性
光电子学
晶体管
极化(电化学)
电压
电介质
电气工程
化学
工程类
物理化学
作者
Zixuan Shang,Lingchen Liu,Guangcheng Wang,Hao Xu,Yuanyuan Cui,Jianming Deng,Zheng Lou,Yinzhou Yan,Jinxiang Deng,Su‐Ting Han,Tianrui Zhai,Xueyun Wang,Lili Wang,Xiaolei Wang
出处
期刊:ACS Nano
[American Chemical Society]
日期:2024-10-22
卷期号:18 (44): 30530-30539
被引量:6
标识
DOI:10.1021/acsnano.4c08810
摘要
Neuromorphic computing can simulate brain function and is a pivotal element in next-generation computing, providing a potential solution to the limitations brought by the von Neumann bottleneck. Optoelectronic synaptic devices are highly promising tools for simulating biomimetic nervous systems. In this study, we developed an optoelectronic neuromorphic device with a transistor structure constructed using ferroelectric CuInP2S6. Essential synaptic behaviors in this device are observed in response to light and electrical stimuli. The optoferroelectric coupling is revealed, and the highly tunable gate modulation of the charge carrier is realized in a single device. On this basis, the light adaptation of the biological eyes and smarter Pavlovian dogs was implemented successfully and enhanced by ferroelectric polarization. The gate voltage application promotes the migration of additional Cu+ ions in the in-plane direction, thus enhancing the synaptic performance of electrical stimulation. Meanwhile, the processing ability of convolutional kernel noise images in ferroelectric devices has been achieved. Our results offer the important observation and application of ferroelectric polarization-enhanced synaptic properties of a transistor structure and have great potential in promoting the development of two-dimensional van der Waals materials and devices.
科研通智能强力驱动
Strongly Powered by AbleSci AI