Emerging Artificial Synaptic Devices Based on Organic Semiconductors: Molecular Design, Structure and Applications DOI
Yunchao Xu, Yuan He, Dongyong Shan

et al.

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

Published: Jan. 9, 2025

In modern computing, the Von Neumann architecture faces challenges such as memory bottleneck, hindering efficient processing of large datasets and concurrent programs. Neuromorphic inspired by brain's architecture, emerges a promising alternative, offering unparalleled computational power while consuming less energy. Artificial synaptic devices play crucial role in this paradigm shift. Various material systems, from organic to inorganic, have been explored for neuromorphic devices, with materials attracting attention their excellent photoelectric properties, diverse choices, versatile preparation methods. Organic semiconductors, particular, offer advantages over transition-metal dichalcogenides, including ease flexibility, making them suitable large-area films. This review focuses on emerging artificial based discussing different branches within semiconductor system, various fabrication methods, device structure designs, applications synapse. Critical considerations achieving truly human-like dynamic perception systems semiconductors are also outlined, reflecting ongoing evolution computing.

Language: Английский

Molecular Cocrystal Strategy for Retinamorphic Vision with UV–Vis–NIR Perception and Fast Recognition DOI
Xuemei Dong, Chen Chen, Yinxiang Li

et al.

ACS Nano, Journal Year: 2025, Volume and Issue: 19(5), P. 5718 - 5726

Published: Jan. 31, 2025

Neuromorphic vision sensors capable of multispectral perception and efficient recognition are highly desirable for bioretina emulation, but their realization is challenging. Here, we present a cocrystal strategy preparing an organic nanowire retinamorphic sensor with UV-vis-NIR fast recognition. By leveraging molecular-scale donor-acceptor interpenetration charge-transfer interfaces, the device exhibits ultrawide photoperception ranging from 350 to 1050 nm, photoresponse 150 ms, high specific detectivity 8.2 × 1012 Jones, responsivity 15 A W-1, as well retina-like photosynaptic plasticity behaviors. Utilizing nerve convolutional neural network, architecture achieves 90% accuracy in recognizing colorful images. The design offers effective method constructing photosynases performance artificial visual systems.

Language: Английский

Citations

1
Object Motion Detection Enabled by Reconfigurable Neuromorphic Vision Sensor under Ferroelectric Modulation DOI
Zhaoying Dang, Feng Guo, Zhaoqing Wang

et al.

ACS Nano, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 26, 2024

Increasing the demand for object motion detection (OMD) requires shifts of reducing redundancy, heightened power efficiency, and precise programming capabilities to ensure consistency accuracy. Drawing inspiration from motion-sensitive ganglion cells, we propose an OMD vision sensor with a simple device structure WSe

Language: Английский

Citations

7
Biomimetic optoelectronics with nanomaterials for artificial vision DOI

Zhenghao Long,

Yu Zhou, Yucheng Ding

et al.

Nature Reviews Materials, Journal Year: 2024, Volume and Issue: 10(2), P. 128 - 146

Published: Nov. 20, 2024

Language: Английский

Citations

7
Organic Synaptic Transistors with Environmentally Friendly Core/Shell Quantum Dots for Wavelength-Selective Memory and Neuromorphic Functions DOI
Ziyi Guo, Junyao Zhang, Jun Wang

et al.

Nano Letters, Journal Year: 2024, Volume and Issue: 24(20), P. 6139 - 6147

Published: May 9, 2024

Organic transistors based on organic semiconductors together with quantum dots (QDs) are attracting more and interest because both materials have excellent optoelectronic properties solution processability. Electronics nontoxic QDs highly desired considering the potential health risks but limited by elevated surface defects, inadequate stability, diminished luminescent efficiency. Herein, synaptic environmentally friendly ZnSe/ZnS core/shell passivating defects developed, exhibiting optically programmable electrically erasable characteristics. The feature linear multibit storage capability wavelength-selective memory function a retention time above 6000 s. Various neuromorphic applications, including enhancement, optical communication, consolidation behaviors, simulated. Utilizing an established model, accuracies of 92% 91% achieved in pattern recognition complicated electrocardiogram signal processing, respectively. This research highlights applications monitoring.

Language: Английский

Citations

5
Reconfigurable Homojunction Phototransistor for Near-Zero Power Consumption Artificial Biomimetic Retina Function DOI
Zhao Han, Yichi Zhang,

Qing Mi

et al.

ACS Nano, Journal Year: 2024, Volume and Issue: 18(43), P. 29968 - 29977

Published: Oct. 16, 2024

Semiconductor photodetectors integrating preliminary signal-processing functions play a vital role in artificial biomimetic retina systems. Herein, we propose tungsten diselenide (WSe2) phototransistor with dual-layer gate dielectric and an asymmetric graphene insert structure. This exhibits bidirectional self-powered photocurrent by controlling the voltage via formation of reconfigurable p+–p n–p homojunctions channel from insert. At same time, nonvolatile electron hole stored are generated using temporary voltage, which can replace to regulate charge. Moreover, shows linear relation programming voltage. The rectification ratio >4 orders magnitude without indicating its significant capability operate fully mode near-zero power consumption. Based on device characteristics, successfully simulate biological photoreceptor layer bipolar cell retinal receptive field. identification object motion direction field be realized three programmable devices chip. Furthermore, edge enhancement image is achieved independently modulating light response each pixel sensor varying study will promote developing progress future

Language: Английский

Citations

5
Photovoltaic bioelectronics merging biology with new generation semiconductors and light in biophotovoltaics photobiomodulation and biosensing DOI Creative Commons
Ebin Joseph, Manuela Ciocca, Haodong Wu

et al.

Deleted Journal, Journal Year: 2024, Volume and Issue: 1(1)

Published: Nov. 21, 2024

Abstract This review covers advancements in biosensing, biophotovoltaics, and photobiomodulation, focusing on the synergistic use of light, biomaterials, cells or tissues, interfaced with photosensitive dye-sensitized, perovskite, conjugated polymer organic semiconductors nanoparticles. Integration semiconductor biological systems, using non-invasive light-probes -stimuli for both sensing controlling behavior, has led to groundbreaking applications like artificial retinas. From fusion photovoltaics biology, a new research field emerges: photovoltaic bioelectronics.

Language: Английский

Citations

4
Bias‐Switchable Photodetection and Photosynapse Dual‐Functional Devices Based on 2D Perovskite/Organic Heterojunction for Imaging‐to‐Recognition Conversion DOI Open Access
Zijin Zhao, Zijun Hu,

Ming Deng

et al.

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

Published: Dec. 8, 2024

Abstract Optoelectronic devices with imaging and recognition capabilities are crucial for developing artificial visual system (AVS). Bias‐switchable photodetection photosynaptic have been developed using 2D perovskite oxide/organic heterojunctions. This unique structure allows modulated carrier dynamics under varied bias conditions, enabling the to function as photodetectors without photosynapses bias. At zero bias, device achieves high responsivity (≈0.36 A W −1 at 320 nm) rapid response speed (0.57 s). Under a −0.5 V it exhibits persistent photoconductivity (PPC), resulting in neuromorphic synaptic behaviors paired‐pulse facilitation (PPF) index exceeding 300%. Moreover, an 8 × sensor array demonstrates image sensing memory capabilities, showing situ enhanced when switching from 0 V, over 200 s of memory. The processing abilities further explored by constructing AVS 28 combined neural network (ANN). adjustable weight different reverse biases allowed optimized simulated recognition, achieving accuracy 92% after 160 training epochs. work presents novel method creating dual‐functional devices, paving way more integrated efficient AVS.

Language: Английский

Citations

4
Double-opponent spiking neuron array with orientation selectivity for encoding and spatial-chromatic processing DOI Creative Commons

Dingwei Li,

Guolei Liu, Fanfan Li

et al.

Science Advances, Journal Year: 2025, Volume and Issue: 11(7)

Published: Feb. 12, 2025

Color spiking encoding and opponent preprocessing are critical for energy-efficient object perception in the human visual system. Emulating retina brain’s integration of spatial chromatic signals holds promise enhancing efficiency vision sensors. Here, we introduce an artificial neuron array that generates excitatory or inhibitory responses to specific wavelengths with orientation selectivity. The can function as double-opponent receptive fields spatial-chromatic color signals, emulating neural pathway from cortex. With array, recognition accuracy is improved almost twofold compared direct underexposure objects, noise robustness also strengthened. This architecture leverages biological mechanisms simultaneous spike antagonistic information, offering potential highly efficient neuromorphic systems.

Language: Английский

Citations

0
Organic Synaptic Transistors Based on a Semiconductor Heterojunction for Artificial Visual and Neuromorphic Functions DOI
Pu Guo, Junyao Zhang,

Zhekun Hua

et al.

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

Published: Feb. 17, 2025

Visual acuity is the ability of biological retina to distinguish images. High-sensitivity image acquisition improves quality visual perception, making images more recognizable for system. Therefore, developing synaptic phototransistors with enhanced photosensitivity crucial high-performance artificial vision. Here, organic (OSPs) based on p–n type semiconductor heterojunctions are presented, which demonstrate improved photoresponses and light storage characteristics. As many as 800 potentiation–depression states can be obtained, nonlinearity extracted from long-term potentiation curve only 0.08. Furthermore, by utilizing light-adjustable synapse-like behaviors, realize a noise reduction function logic gate transformation. Benefiting OSPs, an neural network constructed OSPs shows recognition accuracy ∼93% both handwritten numbers electrocardiography signals. This research provides effective path photoelectric performance advance systems.

Language: Английский

Citations

0
Ultrabroadband Detection and Self-Powered Functionality in Quasi-One-Dimensional Nb3Se12I Nanowire Photodetectors for Bionic Vision Applications DOI
Jianbin Zhang, Yi Zhao,

Ge Liu

et al.

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

Published: March 27, 2025

The burgeoning fields of the Internet things (IoT) and artificial intelligence (AI) have escalated demands for image sensing technologies, necessitating advancements in sensor efficiency functionality. Traditional sensors, structured on von Neumann architectures with discrete processing units, face challenges, such as high power consumption, latency, hardware costs. In this work, we introduced a unique approach through development quasi-one-dimensional nanowire Nb3Se12I-based double-ended photosensor. advanced not only replicated adaptive behavior biological vision systems but also effectively managed decreased sensitivity triggered by intense light stimuli. integration photothermoelectric bolometric effects allows device to operate self-powered mode, offering broadband detectivity ranging from visible (405 nm) midwave infrared (4060 nm). Additionally, structure enables an angle-dependent response polarized polarization ratio 1.83. Our findings suggest that biomimetic based Nb3Se12I could enhance capabilities smart optical sensors machine systems.

Language: Английский

Citations

0