Artificial synapse based on low-voltage Ni-doped CuI thin-film transistors for neuromorphic application DOI

Yuling Peng,

Wei Dou, P. Chen

et al.

Applied Physics Letters, Journal Year: 2024, Volume and Issue: 125(9)

Published: Aug. 26, 2024

Inspired by the human brain's capacity as a powerful biological computer capable of simultaneously processing vast array cognitive tasks, many emerging artificial synapse devices have been developed in recent years. Electric-double-layer (EDL) transistors based on interfacial ion-modulation attracted widespread attention for simulating synaptic plasticity and neural functions. Here, low-voltage EDL p-type thin-film (TFTs) are fabricated glass substrates, with Ni-doped cuprous iodide (Ni0.06Cu0.94I) channel chitosan dielectric. The electrical performance Ni0.06Cu0.94I TFTs is investigated: current on/off ratio 6.4 × 104, subthreshold swing 33 mV/dec, threshold voltage 1.38 V, operating 2 saturation field-effect mobility 15.75 cm2 V−1 s−1. A dual in-plane gate OR logic operation demonstrated. Importantly, applying single pulses, multiple pulses to gate, exhibited typical characteristics, including short-term potentiation, depression, long-term paired-pulse facilitation, spiking-rate-dependent plasticity. Furthermore, transistor can also simulate learning–forgetting–relearning process brain. These remarkable behaviors voltage-stimulated potential neuromorphic applications future systems.

Language: Английский

M4X3 MXenes: Application in Energy Storage Devices DOI Creative Commons
Iftikhar Hussain, Waqas Ul Arifeen, Shahid Ali Khan

et al.

Nano-Micro Letters, Journal Year: 2024, Volume and Issue: 16(1)

Published: June 14, 2024

Abstract MXene has garnered widespread recognition in the scientific community due to its remarkable properties, including excellent thermal stability, high conductivity, good hydrophilicity and dispersibility, easy processability, tunable surface admirable flexibility. MXenes have been categorized into different families based on number of M X layers n+1 n , such as 2 X, 3 4 and, recently, 5 . Among these families, particularly Ti C greatly explored while limited studies given synthesis. Meanwhile, family developed hence, demanding a compilation evaluated studies. Herein, this review provides systematic overview latest advancements MXenes, focusing their properties applications energy storage devices. The objective is provide guidance researchers fostering MXene-based nanomaterials, not only for devices but also broader applications.

Language: Английский

Citations

19
Bioinspired Artificial Visual‐Respiratory Synapse as Multimodal Scene Recognition System with Oxidized‐Vacancies MXene DOI
Dongchen Tan, Zhaorui Zhang,

Haohao Shi

et al.

Advanced Materials, Journal Year: 2024, Volume and Issue: unknown

Published: July 16, 2024

Abstract In the pursuit of artificial neural systems, integration multimodal plasticity, memory retention, and perceptual functions stands as a paramount objective in achieving neuromorphic components inspired by human brain, to emulating neurological excitability tuning observed visual respiratory collaborations. Here, an visual‐respiratory synapse is presented with monolayer oxidized MXene (VRSOM) exhibiting synergistic light atmospheric plasticity. The VRSOM enables realize facile modulation synaptic behaviors, encompassing postsynaptic current, sustained photoconductivity, stable facilitation/depression properties, “learning‐experience” behavior. These performances rely on privileged photocarrier trapping characteristics hydroxyl‐preferential selectivity inherent vacancies. Moreover, environment recognitions network image identifications are achieved through multisensory integration, underscoring potential reproducing human‐like attributes. platform holds significant promise for hardware output mixed‐modal interactions paves way perceiving behaviors interactive devices.

Language: Английский

Citations

11
Neuromorphic Computing for Smart Agriculture DOI Creative Commons
Siyi Lu, Xinqing Xiao

Agriculture, Journal Year: 2024, Volume and Issue: 14(11), P. 1977 - 1977

Published: Nov. 4, 2024

Neuromorphic computing has received more and attention recently since it can process information interact with the world like human brain. Agriculture is a complex system that includes many processes of planting, breeding, harvesting, processing, storage, logistics, consumption. Smart devices in association artificial intelligence (AI) robots Internet Things (IoT) systems have been used also need to be improved accommodate growth computing. great potential promote development smart agriculture. The aim this paper describe current principles neuromorphic technology, explore examples applications agriculture, consider future route synapses, neurons, neural networks (ANNs). A expected improve agricultural production efficiency ensure food quality safety for nutrition health agriculture future.

Language: Английский

Citations

11
Flexible Optoelectronic Synapses Based on Conjugated Polymer Blends for Ultra Broadband Spectrum Light Perception DOI

Longlong Jiang,

Lu Yang,

Yiming Yuan

et al.

ACS Materials Letters, Journal Year: 2024, Volume and Issue: 6(5), P. 1606 - 1615

Published: March 22, 2024

We demonstrate a flexible optoelectronic synaptic device that uses donor–acceptor conjugated polymer with excellent electrical properties and highly optically active block copolymer to form heterojunction as the layer, enabling ultrabroad-spectrum perception from deep ultraviolet (DUV), visible (vis), near-infrared (NIR) for first time. Essential behaviors have been successfully simulated, such learning experience behavior simulation, international Morse code communication, high-pass filtering. The shows stable when bent at different radii of curvature numbers bending cycles. When is extremely deformed under radius 4 mm, postsynaptic current still maintained above 84%. Moreover, an artificial reflex arc was constructed using synapse key information processing unit. Recognition digits achieved by constructing neural network DUV light stimulation, achieving highest recognition rate so far, up 94%. This work demonstrates methodology prepare devices tunable plasticity broad-spectrum potentially applicable building neuromorphic electronics.

Language: Английский

Citations

10
Advancements in Optoelectronics: Harnessing the Potential of 2D Violet Phosphorus DOI
Waqas Ahmad, Aumber Abbas, Umer Younis

et al.

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: unknown

Published: July 24, 2024

Abstract Recently, 2D violet phosphorus (VP), a new kind of allotrope has attained significant attention owing to its remarkable electronic, optical, and magnetic characteristics. Tunable, large direct bandgap, high charge carrier mobility, optical absorption make it potential candidate for realizing photoelectronic applications. VP demonstrates unique electronic structure, chemical stability, strong light‐matter interaction, thermal stability that can be utilized assembling intelligent devices. This review article provides comprehensive investigations the latest synthesis techniques employed develop including structural characterizations, degradation mechanisms. Furthermore, this diverse applications in optoelectronics, photodetectors, polarization detection, imaging systems, neuromorphic optoelectronic devices, many others. Finally, challenges future research directions associated with terms optoelectronics are discussed. Overall, as presented, offers an extensive study VP, covering synthesis, insights mechanisms, aim stimulating further development growing field.

Language: Английский

Citations

10
Retina‐Like Neuromorphic Visual Sensor for Sensing Broad‐Spectrum Ultraviolet Light DOI
Zhaoying Xi,

Maosheng Liu,

Jia‐Han Zhang

et al.

Advanced Optical Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 29, 2024

Abstract The rapidly developing Artificial Intelligence era has an increasing demand for high‐performance organ‐on‐a‐chip systems, especially the vision system, which is most essential perceptual system human beings. However, traditional artificial systems require multiple functional components, are not favorable integration. Neuromorphic visual sensors (NVSs) inspired by retina combine sensing and preprocessing functions. NVSs complex structures to achieve both photo memory, difficult be large‐scale fabricated. Here, a novel In 2 O 3 ‐Ga (InGaO) thin‐film‐based NVS with high photosensitivity superior photomemory performance proposed, can avoid multilayer structure. device possesses accuracy optical communication retina‐like Notably, this InGaO achieves of UV light, it been experimentally confirmed have excellent photoelectric synaptic under 254 nm 365 illumination. This work provides feasible strategy assist eye in invisible light.

Language: Английский

Citations

8
Emerging Violet Phosphorus Nanomaterial for Biomedical Applications DOI Open Access
Yijun Mei,

Yuanyuan Cao,

Wei Wang

et al.

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

Published: Jan. 10, 2025

Abstract Violet phosphorus (VP) is a allotrope first discovered by Hittorf in 1865, which has aroused more attention the biomedical field recent years attributed to its gradually unique properties. VP can be further categorized into bulk VP, nanosheets (VPNs), and quantum dots (VPQDs), chemical vapor transport (CVT), liquid‐phase/mechanical/laser exfoliation, solvothermal synthesis are common preparation approaches of VPNs, VPQDs, respectively. Compared with another (black phosphorus, BP) that once highly regarded applications, nanomaterial (namely VPNs VPQDs) not only exhibits tunable bandgap, moderate on/off current ratio, good biodegradability, but shows enhanced stability biosafety as well, allowing it promising candidate for variety applications like antibacterial therapy, anticancer biosensing disease diagnosis. In this review, classification relevant routes initially summarized, properties momentous subsequently expounded. The latest research advances emerging then introduced detail, both existing challenges future prospects also discussed.

Language: Английский

Citations

1
MXenes and its composite structures: synthesis, properties, applications, 3D/4D printing, and artificial intelligence; machine learning integration DOI Creative Commons

Vimukthi Dananjaya,

Nethmi Hansika,

Sathish Marimuthu

et al.

Progress in Materials Science, Journal Year: 2025, Volume and Issue: unknown, P. 101433 - 101433

Published: Jan. 1, 2025

Language: Английский

Citations

1
A Dual‐Functional Integration of Photodetectors and Artificial Optoelectronic Synapses on a VO2/WO3 Heterojunction Device DOI
Fuhai Guo, Yunjie Liu,

Mingcong Zhang

et al.

Small Methods, Journal Year: 2024, Volume and Issue: unknown

Published: June 28, 2024

Bionic visual systems require multimodal integration of eye-like photodetectors and brain-like image memory. However, the (PDs) artificial optoelectronic synapses devices (OESDs) by one device remains a giant challenge due to their photoresponse discrepancy. Herein, dual-functional PDs OESDs based on VO

Language: Английский

Citations

5
Inkjet-Printing Ti3C2Tx MXene Nanosheet-Based Metamaterials for Terahertz Absorption DOI
Weibo Huang, Xuebin Liu, Yuanzhi Zhou

et al.

ACS Applied Nano Materials, Journal Year: 2024, Volume and Issue: 7(13), P. 15308 - 15316

Published: July 1, 2024

Language: Английский

Citations

5