摩擦电效应
神经形态工程学
电荷(物理)
晶体管
CMOS芯片
数码产品
噪音(视频)
极限(数学)
功能(生物学)
计算机科学
物理
电气工程
材料科学
电压
工程类
人工神经网络
人工智能
量子力学
数学分析
图像(数学)
生物
进化生物学
复合材料
数学
作者
Shaoxin Li,Z. Zhang,Feiyao Yang,Xiang Li,Puguang Peng,Yan Du,Qixuan Zeng,Morten Willatzen,Zhong Lin Wang,Di Wei
标识
DOI:10.1016/j.device.2024.100332
摘要
The transistor, as the basic unit of electronics based on von Neumann architecture, is approaching the limit of Moore's law in the era of big data. Inspired by the biological system, iontronics provides an energy-efficient architecture to transmit data. Here, we used the ubiquitous solid-liquid triboelectrification to regulate the output characteristics of iontronics and proposed transistor-like triboiontronics (TTI) by work function difference. Unlike previous studies, which scavenged induced electrostatic charges from a solid surface, the triboelectric charges of liquids were also captured here, creating a record-high charge density of 13.926 mC/m2. Gated by the water droplet, TTI's gate-tunable function holds great significance for self-powered threshold sensors with high signal-to-noise ratio and enables a neurologic circuit to control robotic movements. We envision that triboiontronics will provide a new paradigm for futuristic in-sensor computing and neuromorphic analogs.
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