Interface Charge Engineering in Ferroelectric Neuristors for a Complete Machine Vision System DOI
Qinyong Dai,

Mengjiao Pei,

Jianhang Guo

et al.

The Journal of Physical Chemistry Letters, Journal Year: 2024, Volume and Issue: unknown, P. 12068 - 12075

Published: Nov. 26, 2024

The rapid advancement of artificial intelligence has driven the demand for hardware solutions neuromorphic pathways to effectively mimic biological functions human visual system. However, current machine vision systems (MVSs) fail fully replicate retinal and lack ability update weights through all-optical pulses. Here, by employing rational interface charge engineering via varying trapping layer thickness PMMA, we determine that ferroelectric polarization our neuristors can be flexibly manipulated light or electrical This capability enables dynamic modulation device's optoelectronic characteristics, facilitating a complete MVS. As front-end sensors, devices with thickest PMMA (∼32 nm) demonstrate autonomous adaptation while those thinnest (∼2 exhibit bidirectional photoresponse characteristics akin bipolar cells. Furthermore, as components back-end processor, conductances these moderate (∼12 updated linearly Our MVS, constructed neuristors, achieved an impressive recognition accuracy 93% in handwritten digit tasks under extreme lighting conditions. work offers effective strategy development energy-efficient highly integrated intelligent MVSs.

Language: Английский

Synaptic devices based on silicon carbide for neuromorphic computing DOI

B.J. Ye,

Xiao Liu, Chao Wu

et al.

Journal of Semiconductors, Journal Year: 2025, Volume and Issue: 46(2), P. 021403 - 021403

Published: Feb. 1, 2025

Abstract To address the increasing demand for massive data storage and processing, brain-inspired neuromorphic computing systems based on artificial synaptic devices have been actively developed in recent years. Among various materials investigated fabrication of devices, silicon carbide (SiC) has emerged as a preferred choices due to its high electron mobility, superior thermal conductivity, excellent stability, which exhibits promising potential applications harsh environments. In this review, progress SiC-based is summarized. Firstly, an in-depth discussion conducted regarding categories, working mechanisms, structural designs these devices. Subsequently, several application scenarios are presented. Finally, few perspectives directions their future development outlined.

Language: Английский

Citations

2
Ion-modulation optoelectronic neuromorphic devices: mechanisms, characteristics, and applications DOI

Xiaohan Meng,

Runsheng Gao, Xiaojian Zhu

et al.

Journal of Semiconductors, Journal Year: 2025, Volume and Issue: 46(2), P. 021402 - 021402

Published: Feb. 1, 2025

Abstract The traditional von Neumann architecture faces inherent limitations due to the separation of memory and computation, leading high energy consumption, significant latency, reduced operational efficiency. Neuromorphic computing, inspired by human brain, offers a promising alternative integrating computational functions, enabling parallel, high-speed, energy-efficient information processing. Among various neuromorphic technologies, ion-modulated optoelectronic devices have garnered attention their excellent ionic tunability availability multidimensional control strategies. This review provides comprehensive overview recent progress in ion-modulation devices. It elucidates key mechanisms underlying modulation light fields, including ion migration dynamics capture release charge through ions. Furthermore, synthesis active materials properties these are analyzed detail. also highlights application artificial vision systems, other bionic fields. Finally, existing challenges future directions for development discussed, providing critical insights advancing this field.

Language: Английский

Citations

2
An innovative biomimetic technology: Memristors mimic human sensation DOI
Kun Wang,

Mengna Wang,

Bai Sun

et al.

Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 110698 - 110698

Published: Jan. 1, 2025

Language: Английский

Citations

1
Flexible Organic Transistors for Color Recognition and Nature-Inspired Synaptic Function Simulation: Performance and Stability DOI
Somnath Bhattacharjee, Gargi Konwar, Anurag Dwivedi

et al.

ACS Applied Electronic Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

Language: Английский

Citations

0
A Full‐Quantum‐Dot Optoelectronic Memristor for In‐Sensor Reservoir Computing System with Integrated Functions DOI

Qinghong Lin,

Yangbin Zhu, Jiayu Sun

et al.

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

Published: Feb. 26, 2025

Abstract In‐sensor computing hardware with signal sensing and dynamic processing capabilities—inspired by the human sensory system—have attracted interest as rapid proliferation of data computation in era big data. Here, an in‐sensor reservoir (RC) system integrated functions sensing, preprocessing, RC a single device is developed, constructing full quantum dot optoelectronic memristor (FQDOM) based on ZnO QDs/CdSe QDs/ZnO QDs heterojunction. The shows nonlinear short‐term memory behavior response to both electrical stimuli optical signals covering spectra from ultraviolet red light. FQDOM can achieve color perception. sense varied types input signal, exhibiting multisensory fusion capability fashion‐MNIST classification. More importantly, these proposed FQDOMs preprocess then send for sensor, which effectively reduces bit error rate systems. temporal further demonstrated gesture perception recognition task, showing accuracy up 92.59%. This research provides effective way design advanced computational

Language: Английский

Citations

0
Enhanced In-Sensor Computing with Spike Number-Dependent Plasticity Characteristics in an InGaSnO Optical Neuromorphic Device for Accelerating Machine Vision DOI
Min Ho Park,

Yeo Jin Kim,

Min Jung Choi

et al.

ACS Nano, Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

In-sensor computing systems based on optical neuromorphic devices have attracted increasing attention to improve the efficiency and accuracy of machine vision systems. However, most materials used in exhibit spike timing-dependent plasticity (STDP) behavior response input light signals, leading complex in-sensor reduced accuracy. To address this issue, we introduce an indium gallium tin oxide (IGTO) semiconductor designed enhance number-dependent (SNDP) signals while eliminating STDP behavior. Here, IGTO-based device shows enhanced SNDP characteristics, which are attributed strong Sn–O bonding, as verified by photoemission spectroscopy (PES) analysis. The consistently reaches same conduction state after 8 pulses regardless pulse timing also achieves a number even when 15 different sets applied. These results characteristics device. Notably, with SNDP-enhanced reduces multilayer perceptron (MLP) training time 87.7% achieving high classification This study demonstrates that significant potential accelerate learning for highly efficient

Language: Английский

Citations

0
Avian eye-inspired tetrachromatic-bidirectional synaptic transistor for multi-spectral recognition DOI

Mengyao Zhang,

Yurong Jiang, Yan Zhang

et al.

Applied Physics Letters, Journal Year: 2025, Volume and Issue: 126(13)

Published: March 1, 2025

The spectral recognition is key for efficient machine vision to obtain high imaging quality of color target objects. However, the bidirectional response within a single band sensors still challenging in-site recognize objects from multi-spectral context. Here, inspired by avian eyes, we propose tetrachromatic-bidirectional synaptic transistor based on WOx/WSe2 heterojunctions with ultraviolet (UV)-photoactive floating gate CdS and realize bio-avian enhanced image improved under background. positive-synaptic responses are exhibited visible wavelength while negative UV band. Moreover, bionic-kestrel behaviors exhibited, such as object images accuracy 58% 93.1% due contribution response. This work provides an effective neuromorphic feature signatures contexts.

Language: Английский

Citations

0
Photodetectors based on chlorophyll for visible image sensing and near-infrared moving detection with bidirectional current response DOI
Yuting Sun, Jian Jiang, Yuting Xu

et al.

Journal of Colloid and Interface Science, Journal Year: 2025, Volume and Issue: 695, P. 137789 - 137789

Published: May 3, 2025

Language: Английский

Citations

0
All-optical synaptic devices utilizing 2D polymer film for logic operations and integrated edge computing DOI Creative Commons

Jinyong Li,

Jian Bi, Xiang Ma

et al.

Cell Reports Physical Science, Journal Year: 2025, Volume and Issue: unknown, P. 102570 - 102570

Published: May 1, 2025

Language: Английский

Citations

0
Donor‐redox covalent organic framework‐based memristors for visual neuromorphic system DOI Creative Commons

Qiongshan Zhang,

Qiang Che,

Fu‐Zhen Xuan

et al.

InfoMat, Journal Year: 2025, Volume and Issue: unknown

Published: May 12, 2025

Abstract Artificial visual neural systems have emerged as promising candidates for overcoming the von Neumann bottleneck via integrating image perception, storage, and computation. Existing photoelectric memristors are limited by need specific wavelengths or long input times to maintain stable behavior. Here, we introduce a benzothiophene‐modified covalent organic framework, enhancing response of methyl trinuclear copper low‐voltage (0.2 V) redox processes. The material enables modulation 50 conductive states light electrical signals, improving recognition accuracy in low light, dense fog, high‐frequency motion. ITO/BTT‐Cu 3 /ITO device's increases from 7.1% with 2 87.1% after training. This construction strategy synergistic effect interactions offer new pathway development neuromorphic computing elements capable processing environmental information situ.

Language: Английский

Citations

0