材料科学
神经形态工程学
铁电性
晶体管
突触可塑性
光电子学
计算机科学
电子工程
人工神经网络
人工智能
电压
电气工程
工程类
电介质
生物化学
受体
化学
作者
Yanmei Sun,Yufei Wang,Qi Yuan,Nian He,Dianzhong Wen
标识
DOI:10.1002/admi.202201421
摘要
Abstract Neuromorphic technology is the next stage in the evolution of high‐performance computing, with its ability to dramatically improve data processing and learning. Hence, the exploration of synaptic electronic devices with multiple excitation modes is the main area of concern. In this work, a vertical organic ferroelectric synaptic transistor (VOFST) capable of achieving the synaptic plasticity is demonstrated, profit by its nanoscale channel length and unique working principle, which exhibits excellent gate modulation capability and good synaptic properties. Based on the excellent tunability of VOFST in various excitation modes, a “Morse code” decoding scheme and the application of the signal identification of over‐threshold are proposed. Most importantly, the internal carrier dynamics modulated by VOFST's ferroelectric polarization induction enables the transistor to directly process the temporal information for image recognition tasks. This work guides the development of synaptic devices and provides a platform to realize the neuromorphic functions in electronic field.
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