Humanoid electronic-skin technology for the era of Artificial Intelligence of Things DOI
Huiyun Zhang, Jianlong Hong, Jianxiong Zhu

et al.

Matter, Journal Year: 2025, Volume and Issue: 8(5), P. 102136 - 102136

Published: May 1, 2025

Language: Английский

Self‐Powered Artificial Neuron Devices: Towards the All‐In‐One Perception and Computation System DOI Open Access
Tong Zheng,

Xinkai Xie,

Qiongfeng Shi

et al.

Advanced Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 18, 2025

Abstract The increasing demand for energy supply in sensing units and the computational efficiency of computation has prompted researchers to explore novel, integrated technology that offers high low consumption. Self‐powered enables environmental perception without external sources, while neuromorphic provides energy‐efficient high‐performance computing capabilities. integration self‐powered presents a promising solution an all‐in‐one system. This review examines recent developments advancements artificial neuron devices based on triboelectric, piezoelectric, photoelectric effects, focusing their structures, mechanisms, functions. Furthermore, it compares electrical characteristics various types discusses effective methods enhancing performance. Additionally, this comprehensive summary systems, encompassing tactile, visual, auditory systems. Moreover, elucidates recently systems combine perception, computing, actuation into configurations, aspiring realize closed‐loop control. seamless holds significant potential shaping more intelligent future humanity.

Language: Английский

Citations

0

An Optically Modulated Hydrogel Synapse for Multilevel Information Decryption DOI
Rui Zhou, Huasheng Tian, Hongyang Zhao

et al.

Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown

Published: March 30, 2025

Abstract The increasing significance of data security promotes the development multilevel information encryption and decryption techniques. However, realization logical outputs modulated by multiple stimuli is challenging in design advanced functional materials. Herein, a system with combination visual digital that responds to dual‐optical inputs developed based on hydrogel‐based synaptic device. ammonium molybdate nanoparticles calcium alginate supramolecular networks incorporated into polyacrylamide hydrogel enable optically regulated color change ionic conductivity. Under UV irradiation, reduction allows as outputs. Meanwhile, conductivity can be near‐infrared (NIR) optical pulses emulate plasticity biological synapses, producing NIR‐mediated As demonstration, strategy provided using array combines decoding camouflage. Moreover, short‐term synapse endows time‐dependent decryption, which improves reduces risk leakage. This study contributes advancing systems providing an effective technique for integrating

Language: Английский

Citations

0

Integration of Perovskite/Low‐Dimensional Material Heterostructures for Optoelectronics and Artificial Visual Systems DOI Creative Commons
Yingge Du, Junjie Yang, Ziyu Lv

et al.

Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown

Published: April 14, 2025

Abstract Heterojunctions combining halide perovskites with low‐dimensional materials are revolutionizing optoelectronic device design by leveraging complementary properties. Halide perovskites, known for their tunable bandgaps, excellent light‐harvesting, and efficient charge carrier mobility, provide a robust foundation photodetectors (PDs) imaging sensors. Low‐dimensional contribute ultrafast enhanced light‐matter interactions, mechanical flexibility. When integrated into heterostructures, these enable precise control over dynamics, leading to significant improvements in efficiency, stability, response speed. This synergy addresses critical challenges optoelectronics, advancing flexible electronics, wearable sensors, high‐sensitivity systems. Ongoing advancements interface engineering material synthesis continually enhancing the reliability operational efficacy of devices across various environmental conditions. Additionally, heterostructures show substantial promise neuromorphic computing, where properties support energy‐efficient, event‐driven data processing. By mimicking adaptive hierarchical nature biological visual systems, they offer new possibilities real‐time image analysis intelligent decision‐making. review highlights latest developments perovskite‐based heterojunctions transformative role bridging gap between artificial vision, driving technologies such as robotics bio‐inspired

Language: Английский

Citations

0

Humanoid electronic-skin technology for the era of Artificial Intelligence of Things DOI
Huiyun Zhang, Jianlong Hong, Jianxiong Zhu

et al.

Matter, Journal Year: 2025, Volume and Issue: 8(5), P. 102136 - 102136

Published: May 1, 2025

Language: Английский

Citations

0