A Reconfigurable All-Optical-Controlled Synaptic Device for Neuromorphic Computing Applications DOI
Tao Zhang, Chao Fan, Lingxiang Hu

et al.

ACS Nano, Journal Year: 2024, Volume and Issue: 18(25), P. 16236 - 16247

Published: June 13, 2024

Retina-inspired visual sensors play a crucial role in the realization of neuromorphic systems. Nevertheless, significant obstacles persist pursuit achieving bidirectional synaptic behavior and attaining high performance context photostimulation. In this study, we propose reconfigurable all-optical controlled device based on IGZO/SnO/SnS heterostructure, which integrates sensing, storage processing functions. Relying simple heterojunction stack structure energy band engineering, excitatory inhibitory behaviors can be observed under light stimulation ultraviolet (266 nm) visible (405, 520 658 without additional voltage modulation. particular, junction field-effect transistors heterostructure were fabricated to elucidate underlying photoresponse mechanism. addition optical signal processing, an artificial neural network simulator optoelectrical synapse was trained recognized handwritten numerals with recognition rate 91%. Furthermore, prepared 8 × array successfully demonstrated process perception memory for image human brain, as well simulated situation damage retina by light. This work provides effective strategy development high-performance optoelectronic synapses practical approach design multifunctional vision

Language: Английский

Multidiscipline Applications of Triboelectric Nanogenerators for the Intelligent Era of Internet of Things DOI Creative Commons

Xiaole Cao,

Yao Xiong, Jia Sun

et al.

Nano-Micro Letters, Journal Year: 2022, Volume and Issue: 15(1)

Published: Dec. 20, 2022

In the era of 5G and Internet things (IoTs), various human-computer interaction systems based on integration triboelectric nanogenerators (TENGs) IoTs technologies demonstrate feasibility sustainable self-powered functional systems. The rapid development intelligent applications TENGs mainly relies supplying harvested mechanical energy from surroundings implementing active sensing, which have greatly changed way human production daily life. This review introduced TENG in multidiscipline scenarios IoTs, including smart agriculture, industry, city, emergency monitoring, machine learning-assisted artificial intelligence applications. challenges future research directions toward also been proposed. extensive developments will push forward into an autonomy fashion.

Language: Английский

Citations

206
Self-Powered Sensing in Wearable Electronics─A Paradigm Shift Technology DOI Creative Commons
Wei Tang, Qijun Sun, Zhong Lin Wang

et al.

Chemical Reviews, Journal Year: 2023, Volume and Issue: 123(21), P. 12105 - 12134

Published: Oct. 23, 2023

With the advancements in materials science and micro/nanoengineering, field of wearable electronics has experienced a rapid growth significantly impacted transformed various aspects daily human life. These devices enable individuals to conveniently access health assessments without visiting hospitals provide continuous, detailed monitoring create comprehensive data sets for physicians analyze diagnose. Nonetheless, several challenges continue hinder practical application electronics, such as skin compliance, biocompatibility, stability, power supply. In this review, we address supply issue examine recent innovative self-powered technologies electronics. Specifically, explore sensors systems, two primary strategies employed field. The former emphasizes integration nanogenerator sensing units, thereby reducing overall system consumption, while latter focuses on utilizing sources drive entire system. Finally, present future perspectives

Language: Английский

Citations

90
Memristor-based neural networks: a bridge from device to artificial intelligence DOI
Zelin Cao, Bai Sun, Guangdong Zhou

et al.

Nanoscale Horizons, Journal Year: 2023, Volume and Issue: 8(6), P. 716 - 745

Published: Jan. 1, 2023

This paper reviews the research progress in memristor-based neural networks and puts forward future development trends.

Language: Английский

Citations

73
A self-powered biomimetic mouse whisker sensor (BMWS) aiming at terrestrial and space objects perception DOI
Xuyan Hou, Linbo Xin, Yulei Fu

et al.

Nano Energy, Journal Year: 2023, Volume and Issue: 118, P. 109034 - 109034

Published: Oct. 28, 2023

Language: Английский

Citations

71
Versatile Ion‐Gel Fibrous Membrane for Energy‐Harvesting Iontronic Skin DOI
Yang Liu, Chunlin Zhao, Yao Xiong

et al.

Advanced Functional Materials, Journal Year: 2023, Volume and Issue: 33(37)

Published: May 14, 2023

Abstract Developing versatile and high sensitivity sensors is beneficial for promoting flexible electronic devices human‐machine interactive systems. Researchers are working on the exploration of various active sensing materials toward broad detection, multifunction, low‐power consumption. Here, a ion‐gel fibrous membrane presented by electrospinning technology utilized to construct capacitive triboelectric nanogenerator (TENG). The iontronic sensor exhibits inherently favorable repeatability, which retains long‐term stability after 5000 cycles. can also detect clear pulse waveform at human wrist enable mapping pressure distribution sensory matrix. For TENG, maximum peak power 54.56 µW be used commercial electronics. In addition, prepared TENG array achieve interactive, rapidly responsive, accurate dynamic monitoring, broadens direct effective devices. promising provide an outstanding approach physiological biomechanical energy harvesting, interaction, self‐powered monitoring

Language: Английский

Citations

67
Ultrafast and Low-Power 2D Bi2O2Se Memristors for Neuromorphic Computing Applications DOI
Zilong Dong, Qilin Hua,

Jianguo Xi

et al.

Nano Letters, Journal Year: 2023, Volume and Issue: 23(9), P. 3842 - 3850

Published: April 24, 2023

Memristors that emulate synaptic plasticity are building blocks for opening a new era of energy-efficient neuromorphic computing architecture, which will overcome the limitation von Neumann bottleneck. Layered two-dimensional (2D) Bi2O2Se, as an emerging material next-generation electronics, is great significance in improving efficiency and performance memristive devices. Herein, high-quality Bi2O2Se nanosheets grown by configuring mica substrates face-down on powder. Then, bipolar memristors fabricated with excellent including ultrafast switching speed (<5 ns) low-power consumption (<3.02 pJ). Moreover, plasticity, such long-term potentiation/depression (LTP/LTD), paired-pulse facilitation (PPF), spike-timing-dependent (STDP), demonstrated memristor. Furthermore, MNIST recognition simulated artificial neural networks (ANN) based conductance modification could reach high accuracy 91%. Notably, 2D enables memristor to possess attributes, showing potential applications.

Language: Английский

Citations

64
Soft multifunctional neurological electronic skin through intrinsically stretchable synaptic transistor DOI
Pengcheng Zhu,

Shuairong Mu,

Wenhao Huang

et al.

Nano Research, Journal Year: 2024, Volume and Issue: 17(7), P. 6550 - 6559

Published: May 17, 2024

Language: Английский

Citations

46
Single-Pore Nanofluidic Logic Memristor with Reconfigurable Synaptic Functions and Designable Combinations DOI

Yixin Ling,

Lejian Yu,

Ziwen Guo

et al.

Journal of the American Chemical Society, Journal Year: 2024, Volume and Issue: 146(21), P. 14558 - 14565

Published: May 16, 2024

The biological neural network is a highly efficient in-memory computing system that integrates memory and logical functions within synapses. Moreover, reconfiguration by environmental chemical signals endows networks with dynamic multifunctions enhanced efficiency. Nanofluidic memristors have emerged as promising candidates for mimicking synaptic functions, owing to their similarity synapses in the underlying mechanisms of ion signaling channels. However, realizing signal-modulated logic nanofluidic memristors, which basis brain-like applications, remains unachieved. Here, we report single-pore memristor reconfigurable functions. Based on different degrees protonation deprotonation functional groups inner surface single pore, modulation are realized. More noteworthy, this can not only avoid average effects multipore but also act fundamental component constructing complex through series parallel circuits, lays groundwork future artificial networks. implementation gates signals, diverse combinations opens up new possibilities applications brain-inspired computing.

Language: Английский

Citations

28
Toward an AI Era: Advances in Electronic Skins DOI
Xuemei Fu, Wen Cheng, Guanxiang Wan

et al.

Chemical Reviews, Journal Year: 2024, Volume and Issue: 124(17), P. 9899 - 9948

Published: Aug. 28, 2024

Electronic skins (e-skins) have seen intense research and rapid development in the past two decades. To mimic capabilities of human skin, a multitude flexible/stretchable sensors that detect physiological environmental signals been designed integrated into functional systems. Recently, researchers increasingly deployed machine learning other artificial intelligence (AI) technologies to neural system for processing analysis sensory data collected by e-skins. Integrating AI has potential enable advanced applications robotics, healthcare, human–machine interfaces but also presents challenges such as diversity model robustness. In this review, we first summarize functions features e-skins, followed feature extraction different models. Next, discuss utilization design e-skin address key topic implementation e-skins accomplish range tasks. Subsequently, explore hardware-layer in-skin before concluding with an opportunities various aspects AI-enabled

Language: Английский

Citations

26
All‐Photolithography Fabrication of Ion‐Gated Flexible Organic Transistor Array for Multimode Neuromorphic Computing DOI
Xü Liu, Shilei Dai, Weidong Zhao

et al.

Advanced Materials, Journal Year: 2024, Volume and Issue: 36(21)

Published: Feb. 22, 2024

Abstract Organic ion‐gated transistors (OIGTs) demonstrate commendable performance for versatile neuromorphic systems. However, due to the fragility of organic materials solvents, efficient and reliable all‐photolithography methods scalable manufacturing high‐density OIGT arrays with multimode functions are still missing, especially when all active layers patterned in high‐density. Here, a flexible (9662 devices per cm 2 ) array high yield minimal device‐to‐device variation is fabricated by modified method. The unencapsulated can withstand 1000 times’ bending at radius 1 mm, 3 months’ storage test air, without obvious degradation. More interesting, OIGTs be configured between volatile nonvolatile modes, suitable constructing reservoir computing systems achieve accuracy classifying handwritten digits low training costs. This work proposes promising design electronics affordable systems, encompassing both algorithm aspects.

Language: Английский

Citations

25