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面向人工触觉感知系统的铁电/电双层调制突触薄膜晶体管

Ferroelectric/Electric-Double-Layer-Modulated Synaptic Thin Film Transistors toward an Artificial Tactile Perception System.

作者信息

Zeng Wanyu, Luo Xingsheng, Xu Jiawei, Zhang Mengyun, Liu Shixin, Zhang Qun, Zhu Guodong

机构信息

Department of Materials Science, National Engineering Lab for TFT-LCD Materials and Technologies, Fudan University, Shanghai 200433, China.

出版信息

ACS Appl Mater Interfaces. 2025 Jan 22;17(3):5086-5100. doi: 10.1021/acsami.4c19092. Epub 2025 Jan 10.

DOI:10.1021/acsami.4c19092
PMID:39791524
Abstract

Tactile sensation and recognition in the human brain are indispensable for interaction between the human body and the surrounding environment. It is quite significant for intelligent robots to simulate human perception and decision-making functions in a more human-like way to perform complex tasks. A combination of tactile piezoelectric sensors with neuromorphic transistors provides an alternative way to achieve perception and cognition functions for intelligent robots in human-machine interaction scenarios. To promote both long-term and short-term plasticity of the artificial synaptic transistor, a composite gate dielectric composed of ferroelectric terpolymer P(VDF-TrFE-CFE) and chitosan was intendedly developed, while amorphous metal oxide InZnO was adopted as the channel layer. The transition from short-term to long-term plasticity function was realized on the basis of the electric-double-layer effect and ferroelectric polarization. Benefiting from its low-voltage operation performance, this synaptic transistor was functionalized by connecting with a flexible piezoelectric poly(vinylidene fluoride) capacitor to exhibit tactile stimulus-excited synaptic behavior. Feedback control was further introduced into the tactile synaptic system to imitate two typical scenarios of sensation and response, including the action of a mechanical claw to pain sensation and spontaneous scratching to itch sensation. This work provides a perspective on achieving intelligent perception for soft robotics and healthcare application.

摘要

触觉感知和识别在人类大脑中对于人体与周围环境之间的交互不可或缺。对于智能机器人而言,以更类人的方式模拟人类感知和决策功能以执行复杂任务具有重要意义。触觉压电传感器与神经形态晶体管的结合为在人机交互场景中实现智能机器人的感知和认知功能提供了一种替代方法。为了促进人工突触晶体管的长期和短期可塑性,特意开发了一种由铁电三元共聚物P(VDF-TrFE-CFE)和壳聚糖组成的复合栅极电介质,同时采用非晶金属氧化物InZnO作为沟道层。基于双电层效应和铁电极化实现了从短期可塑性功能到长期可塑性功能的转变。受益于其低电压操作性能,这种突触晶体管通过与柔性压电聚偏二氟乙烯电容器连接而功能化,以展现触觉刺激激发的突触行为。进一步将反馈控制引入触觉突触系统,以模仿两种典型的感觉和反应场景,包括机械爪对疼痛感觉的作用以及对瘙痒感觉的自发抓挠。这项工作为实现软机器人技术和医疗保健应用中的智能感知提供了一个视角。

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