Small
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2025
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IF 12.1
Zilong Guo,Hao Kan,Jiaqi Zhang,Yang Li
Retina-inspired optoelectronic neuromorphic devices integrating optical sensing and computation are the key components in realizing neuromorphic visual computing. In particular, UV-responsive optoelectronic synaptic devices hold significant value for advanced neuromorphic vision systems, as they can expand human visual perception. Herein, we demonstrate a UV-responsive optoelectronic synaptic device based on ZnMgO quantum dots (QDs) designed for in-sensor computing in neuromorphic vision applications. The device demonstrates voltage-driven short-term and long-term synaptic plasticity, as well as multiple photoinduced synaptic functions. Based on this device, an in-sensor image-blending encryption method has been designed, which can effectively reduce the risk of data leakage during transmission. Furthermore, an in-sensor reservoir computing (RC) system with image processing functions is constructed, which integrates a photonic reservoir layer (PRL) for image preprocessing and a multilayer perceptron (MLP) capable of image recognition. The system achieves 98.6% accuracy in recognizing Fashion-MNIST images and maintains 83% accuracy under 60% random noise, showcasing its robustness. This work introduces a novel approach for developing UV-responsive optoelectronic synaptic devices equipped with dual-mode modulation of both electrical and optical signals, offering new perspectives and solutions for integrated applications in neuromorphic vision systems.
研究领域:
神经形态计算
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材料科学
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计算机视觉
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DOI
PubMed
高影响因子
Journal of Materials Chemistry C
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2025
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IF 5.1
Tao Jin,Wenju Li,Yongyi Zhang,Ruiheng Wang,Shuai Wang,Chen Pan,Guan Wang,Jiacheng Zhang,Lei Yao,Jing Zhang,Qichun Zhang
Artificial synapses have gained considerable attention in modeling artificial visual systems. Facile and efficient p-n heterojunction, acting as the essential component, plays a critical role in configuration optimization and processing capabilities. Herein, we introduced a novel charge-transfer cocrystal that consisted of 5,8-dihydroindolo[2,3-c]carbazole (DDCB) and 7,7,8,8-tetracyanoquinodimethane (TCNQ) via solution-process, which demonstrated good crystallinity and typical n-type charge transport characteristics. To realize good charge storage ability, crystalline p-n heterojunctions with a phase-separated heterostructure were one-step prepared by drop-casting TIPS-pentacene and DDCB/TCNQ solutions onto the substrate. The as-prepared artificial synaptic devices exhibited remarkable paired-pulse facilitation (PPF), spike-duration dependent plasticity, spike-intensity dependent plasticity, and learning-experience behaviors similar to those of biological synapses in response to light pulses. Furthermore, based on the light potentiation and electrical depression modulation properties of these synaptic devices, we constructed artificial neural networks for image recognition, achieving a validation accuracy of over 97% on the modified national institute of standards and technology (MNIST) dataset. This work provides a new simple approach in establishing p-n heterojunction based artificial synapses for applications in light information processing, artificial vision, and memory simulation.
研究领域:
材料科学
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神经形态工程
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电子器件
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DOI
高影响因子
ADVANCED MATERIALS
·
2025
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IF 26.8
Hongjie Zhang,Song Wang,Li Wang,Shengke Li,Haowen Liu,Xinyi Zhu,Yuanxia Chen,Guoheng Xu,Mingming Zhang,Quanying Liu,Ruibing Wang,Kai Xiao
The effective and precise processing of visual information by the human eye primarily relies on the diverse contrasting functions achieved through synaptic regulation of ion transport in the retina. Developing a bio-inspired retina that uses ions as information carriers can more accurately replicate retina's natural signal processing capabilities, enabling high-performance machine vision. Herein, an ion-confined transport strategy is proposed to construct a bio-inspired retina by developing artificial synapses with inhibitory and excitatory contrasting functions. By fine-tuning the ionic hydrogel structures to control ion transport across the heterogeneous interfaces, inhibitory and excitatory synapses are realized to negatively or positively modulate the optical signal. The integration of these synapses facilitates advanced tasks such as image recognition and motion analysis. Moreover, as a proof of concept, guiding robot vehicles to perform path planning is demonstrated. This work offers a new idea for constructing the bio-inspired retina by precisely regulating ion transport, allowing it to reach a level closer to the biological retina.
研究领域:
生物医学工程
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材料科学
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神经科学
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DOI
PubMed
高影响因子
ANALYTICA CHIMICA ACTA
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2025
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IF 6
Qian Kai Lin,Wen Qing Sun,Bo Zhang,Qiao Ling,Yan Qian,Cheng Zhi Huang,Chun Mei Li,Na Wang
Background MicroRNAs (miRNAs) play a pivotal role in various physiological and pathological processes. In particular, miRNA-21 holds significant potential as a novel biomarker for the diagnosis of heart failure. The development of miRNA detection methods is rapidly advancing, with point-of-care testing (POCT) platforms garnering considerable attention. However, traditional methods are often hampered by their reliance on expensive instruments and complex procedures, limiting clinical applicability. Therefore, there is an urgent need to develop a simple, portable, sensitive, and rapid POCT platform for miRNA-21 detection. Results In this work, we proposed a portable POCT platform using a colorimetric biosensor specifically sensitive for miRNA-21. The platform utilized 3,3′,5,5′-tetramethylbenzidine as the signaling molecule, and a Linear G-quadruplex loaded with Blocker Nanostructures (LGBN) generated by the RCA reaction as the probe. Furthermore, changes in primary color channels (R/G/B) of TMB for miRNA-21 detection were analyzed via smartphone-based digital image recognition. Under optimal conditions, the platform showed a linear detection range between 0.01 nM and 1 nM, with limits of detection of 8.3 pM (colorimetric methods) and 9.5 pM (digital image colorimetry). Moreover, the colorimetric biosensor exhibited excellent specificity and resistance to interference, successfully detecting miRNA-21 in serum samples from heart failure patients. Significance This detection method has an accuracy consistent with RT-qPCR results, providing a novel and practical approach with POCT for miRNA-21 detection.
研究领域:
分子生物学
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医学诊断
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生物传感技术
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DOI
PubMed
高影响因子
Journal of Materials Chemistry C
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2025
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IF 5.1
Yafei Chen,Lingling Zhang,Shuaifei Mao,Zhenyu Li,Chunli Jiang,Chunhua Luo,Hechun Lin,Hui Peng,Chun-Gang Duan
The rapid advancement of artificial intelligence (AI) demands faster processing units and more efficient algorithms. This study introduces a neuromorphic visual system based on a single-layer ferroelectric semiconductor material, specifically the [R-1-(4-chlorophenyl)ethylammonium]2PbI4 (R-LIPF) organic–inorganic perovskite ferroelectric layer, integrated into a reservoir computing (RC) system for digital image recognition. The R-LIPF device demonstrates tunable synaptic functions, including short-term plasticity (STP), paired-pulse facilitation (PPF), and long-term plasticity (LTP) under optical stimulation. By pre-applying voltage, we successfully modulated the polarization state of the R-LIPF layer, enabling control over synaptic relaxation behavior. Unlike traditional ferroelectric oxide semiconductor photon synapses, the R-LIPF-based device offers enhanced functionality and simplified device architecture. This research paves the way for highly efficient neuromorphic computing hardware, with potential applications in energy-efficient machine vision systems.
研究领域:
材料科学
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计算机科学
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人工智能
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产品关联
DOI
高影响因子
Advanced Electronic Materials
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2025
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IF 5.3
Wenwen Wang,Yao Li,Jiangdong Zhang,Menghan Chen,Jia Liu,Jiahao Kang,Jinjin Zhao
Optoelectronic modulated transistors based on organic–inorganic halide perovskites can perceive and parse visual information, making them appealing for neuromorphic computing or future vision automation owing to their abundant and tunable optoelectronic properties, high quantum efficiency, and large specific surface area. Herein, quasi-2D (ThMA) 2 (MA) n-1 Pb n I 3n+1 ( n = 4) transistor exhibits n/p-type ambipolar transport characteristics. The remarkable hysteresis behavior observed in the transfer characteristics can be modulated by external voltages and illumination. The ambipolar quasi-2D (ThMA) 2 (MA) n-1 Pb n I 3n+1 ( n = 4) transistor exhibits maximum charge mobility under light illumination with hole mobility ( µ h ) of ≈1.5 × 10 −4 cm 2 V −1 s −1 (≈167 times higher than that in the dark condition), threshold voltage ( V th ) of 2.1 V, and subthreshold swing ( SS ) of 3.4 V decade −1 for the p-channel mode, and electron mobility ( µ e ) of ≈1.9 × 10 −4 cm 2 V −1 s −1 , V th of 3.1 V, and SS of 1.7 V decade −1 for the n-channel mode, respectively. The effects of light illumination on the potentiation and depression properties of the proposed device are discussed. The Chinese handwritten characters from the Institute of Automation of the Chinese Academy of Sciences are used to simulate the image recognition properties. The quasi-2D perovskite offers a new platform for the development of optoelectronic neuromorphic systems and bionic vision.
研究领域:
材料科学
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电子工程
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光学
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人工智能
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DOI
高影响因子
CHEMICAL ENGINEERING JOURNAL
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2024
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IF 13.3
Qingwen Shi,Jinxing Liang,Xuyi Wang,Kaixiang Yao,Yidan Tang,Chen Pan,Jiuxiao Sun,Rui Liu,Haiying Tan,Tao Tang
Fire detection plays a crucial role in maintaining the safety of people’s lives and property. However, most early fire detectors are designed to monitor the current or voltage changes of the sensing materials, which require external power supplies. It is still a challenge to make rapid and accurate noncontact early fire detection in precombustion due to the lack of reliable alarm signals. Herein, inspired by the discoloration of chameleon skin, we developed an early fire warning sensor (EFWS) by coating photonic crystals (PCs) on a plastic sheet with thermal expansion properties. Monodispersed zinc sulfide (ZnS) was coated on the plastic sheet as abnormal detection component for EFWS. Combined with the intelligent image recognition algorithm, the EFWS was designed and gave warnings for 0.9 s at 260 °C. For the first time, a photonic crystal-based non-contact real-time monitoring EFWS in precombustion is developed. The sensing material can be directly pasted on the surface of the detected equipment, and combined with existing surveillance cameras in the detection area, early warning of fires can be achieved. The EFWS system can be used in non-open fire alarms for aircraft, buildings, electrical appliances, substations, and other places in the future.
研究领域:
材料科学
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光学
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传感器技术
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智能算法
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产品关联
DOI
高影响因子
JOURNAL OF HAZARDOUS MATERIALS
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2023
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IF 13.6
Ning Sui,Zijie Song,Xiaoyi Xu,Shuang Cao,Yifeng Xu,Tingting Zhou,Tong Zhang
Ground-level ozone (O 3 ) is a primary air pollutant with potential adverse impacts on human health and ecosystems. Aiming to detect O 3 concentration and develop efficient O 3 sensing materials, sensing behavior of heterogenous cation (Fe 3+ , Sn 4+ and Sb 5+ ) doped In 2 O 3 nanostructures was investigated. The incorporation of these cations modulated the electronic structure of semiconductor oxides , affecting the density of chemisorbed oxygen species and reactive sites. From O 3 sensing results, Fe 3+ doped In 2 O 3 based sensors featuring saturated resistance curves in O 3 gas, demonstrated fast sensing speed and qualified detection threshold (20 ppb). In contrast, Sn 4+ and Sb 5+ doped counterparts exhibited non-saturated sensing curves, resulting in slower response/recovery speed. As a proof-of-concept, these optimized sensors were integrated as the sensor array. Coupled to the image recognition technique, this sensor array could successfully discriminate O 3 and NO x . That is, through the tailored combination of material modulation and sensor array, this study paves a novel approach for highly sensitive and selective O 3 detection.
研究领域:
材料科学
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环境科学
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传感器技术
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产品关联
DOI
PubMed
高影响因子
ACS Applied Electronic Materials
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2022
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IF 4.494
Yanting Li,Pengfei Zhao,Jie Lao,Chunli Jiang,Bobo Tian,Chunhua Luo,Hechun Lin,Chang Yang,Hui Peng,Chun-Gang Duan
Fabricating devices with functions of biosynapses is one of attractive highlights in the field of artificial intelligence. Optoelectronic synapses are believed to be an important cornerstone of neuromorphic intelligent systems because they can directly process visual input signals. In this work, a transparent and metal-electrode-free optoelectronic synapse with a structure of CuI/ITO is prepared, in which the CuI layer acts as both an active layer and electrode. Some basic functions of biosynapses are realized by this device, including paired-pulse facilitation (PPF), spike-number-dependent plasticity (SNDP), spike-width-dependent plasticity (SWDP), and ″learning-experience″ behavior. Furthermore, this device exhibits the capability of detecting and processing the integrated optical information, and image recognition and memory. This work illustrates the great application potential of CuI in transparent optoelectronic synapse due to its unique properties.
研究领域:
人工智能
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神经形态计算
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材料科学
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产品关联
DOI
高影响因子
RARE METALS
·
2025
·Vol. 44
·期 9
·6483-6493
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IF 11
Zhao Yang,Yu Hong-Bin,Zhao Chun-Yu,Kong De-Nan,Wang Dai-Nan,Fu Long-Yi,Hu Qing-Mei,Li Dian,Zang Tian-Yu,Zheng Shou-Jun,Zhou Yao,Zhou Jia-Dong
Employing two-dimensional (2D) synaptic devices to develop a brain-inspired neuromorphic computing system is a promising approach to overcoming the limitations of the von Neumann architecture. However, isotropic 2D materials are predominantly utilized to fabricate synaptic devices. Research on inherently anisotropic 2D materials in synaptic devices remains scarce. Here, we report an intrinsically anisotropic material, CrSBr, which exhibits optoelectronic properties with significant angular dependence, achieving a carrier mobility ratio as high as 7.83 between the a -axis and b -axis. Based on this, we couple the in-plane anisotropy into the synaptic device and construct CrSBr/WSe 2 multi-terminal device. This device can be regulated by the gate voltage and laser, exhibiting storage and synaptic behaviors dependent on the a and b axes. Furthermore, we apply the synaptic property to achieve image recognition. Due to the anisotropic response to identical external stimulus, the a -axis conductance trend transits from nonlinear to approximately linear within the multi-terminal conductance framework. This multi-terminal synapse model achieves a recognition rate of up to 91% on the Fashion-MNIST database, significantly outperforming single-terminal recognition performance. Our work introduces a novel approach to anisotropic artificial synapses for simulated image recognition and establishes a foundation for developing AI systems with enhanced recognition rates. Graphical abstract
研究领域:
材料科学
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纳米电子学
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神经形态工程
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二维材料物理
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光电子学
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人工智能硬件
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仿生计算
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产品关联
DOI
高影响因子
Nano Energy
·
2023
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IF 17.6
Yixin Cao,Tianshi Zhao,Chenguang Liu,Chun Zhao,Hao Gao,Shichen Huang,Xianyao Li,Chengbo Wang,Yina Liu,Eng Gee Lim,Zhen Wen
Artificial synapses with light signal perception capability offer the ability to neuromorphic visual signal processing system on demand. In light of the excellent optical and electrical characteristics , the low-dimensional materials have become one of the most favorable candidates of the key component for optoelectronic artificial synapses. Previously, our group originally proposed the synthesis of germanium oxide-coated MXene nanosheets . In this work, we further applied this technology into the optoelectronic synaptic thin-film transistors for the first time. The devices exhibited the adjustable postsynaptic current behaviors under the visible light inputs. Moreover, the potentiation and depression operation modes of the devices further improved the application potential of the devices in mimicking biological synapses. Regulated by the wavelength of incident lights, the proposed artificial synapse could effectively help detect the target area of the image. Eventually, we further showed the results of the devices in the projects of neural network computing task. The long-term potentiation/depression characteristics of the conductance were applied to the synaptic weight matrix for image identification and path recognition tasks. By adding knowledge transfer in the process of recognition, the epoch required for convergence has been greatly reduced. The result of high noise tolerance revealed the great potential of the proposed transistors in establishing high-efficiency and robustness hardware neuromorphic systems for in-memory computing.
研究领域:
材料科学
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神经形态工程
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电子工程
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产品关联
DOI
高影响因子
Advanced Science
·
2023
·Vol. 10
·期 30
·2303944
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IF 15.1
Xuemei Dong,Chen Chen,Keyuan Pan,Yinxiang Li,Zicheng Zhang,Zixi He,Bin Liu,Zhe Zhou,Yueyue Wu,Dengfeng Zhang,Hongchao Sun,Xinkai Qian,Min Xu,Wei Huang,Juqing Liu
Neuromorphic vision based on photonic synapses has the ability to mimic sensitivity, adaptivity, and sophistication of bio-visual systems. Significant advances in artificial photosynapses are achieved recently. However, conventional photosyanptic devices normally employ opaque metal conductors and vertical device configuration, performing a limited hemispherical field of view. Here, a transparent planar photonic synapse (TPPS) is presented that offers dual-side photosensitive capability for nearly panoramic neuromorphic vision. The TPPS consisting of all two dimensional (2D) carbon-based derivatives exhibits ultra-broadband photodetecting (365–970 nm) and ≈360° omnidirectional viewing angle. With its intrinsic persistent photoconductivity effect, the detector possesses bio-synaptic behaviors such as short/long-term memory, experience learning, light adaptation, and a 171% pair-pulse-facilitation index, enabling the synapse array to achieve image recognition enhancement (92%) and moving object detection.
研究领域:
生物医学工程
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神经形态计算
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材料科学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
危险品化学品经营许可证（带存储）