Self-Powered Artificial Neuron Devices: Towards the All-In-One Perception and Computation System

被引：1
作者：
Zheng, Tong [1 ]
Xie, Xinkai [1 ]
Shi, Qiongfeng [1 ]
Wu, Jun [1 ]
Yu, Cunjiang [2 ]
机构：
[1] Southeast Univ, Coll Elect Sci & Engn, Nanjing 210000, Peoples R China
[2] Univ Illinois, Beckman Inst Adv Sci & Technol, Dept Elect & Comp Engn, Dept Mech Sci & Engn,Dept Mat Sci & Engn,Dept Bioe, Urbana, IL 61801 USA
来源：
ADVANCED MATERIALS | 2025年 / 37卷 / 12期
基金：
国家重点研发计划;
关键词：
all-in-one perception-computation system; artificial neuron devices; neuromorphic computation; self-powered sensing; SYNAPTIC TRANSISTORS; SELECTIVE ATTENTION; LARGE-SCALE; VISION; SYNAPSES; MEMORY; LIGHT; PLASTICITY; MEMRISTOR; PHOTORECEPTORS;
D O I：
10.1002/adma.202416897
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
The increasing demand for energy supply in sensing units and the computational efficiency of computation units has prompted researchers to explore novel, integrated technology that offers high efficiency and low energy consumption. Self-powered sensing technology enables environmental perception without external energy sources, while neuromorphic computation provides energy-efficient and high-performance computing capabilities. The integration of self-powered sensing technology and neuromorphic computation presents a promising solution for an all-in-one system. This review examines recent developments and advancements in self-powered artificial neuron devices based on triboelectric, piezoelectric, and photoelectric effects, focusing on their structures, mechanisms, and functions. Furthermore, it compares the electrical characteristics of various types of self-powered artificial neuron devices and discusses effective methods for enhancing their performance. Additionally, this review provides a comprehensive summary of self-powered perception systems, encompassing tactile, visual, and auditory perception systems. Moreover, it elucidates recently integrated systems that combine perception, computing, and actuation units into all-in-one configurations, aspiring to realize closed-loop control. The seamless integration of self-powered sensing and neuromorphic computation holds significant potential for shaping a more intelligent future for humanity.
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页数：37
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