ACS Applied Materials & Interfaces
·
2024
·
IF 8.3
Li Su,Zijun Hu,Tingting Yan,Xinglong Zhang,Dawei Zhang,Xiaosheng Fang
With the development of artificial intelligence systems, it is necessary to develop optoelectronic devices with photoresponse and storage capacity to simulate human visual perception systems. The key to an artificial visual perception system is to integrate components with both sensing and storage capabilities of illumination information. Although module integration components have made useful progress, they still face challenges such as multispectral response and high energy consumption. Here, we developed a light-adapted optoelectronic-memristive device integrated by an organic photodetector and ferroelectric-based memristor to simulate human visual perception. ITO/P3HT:PC71BM/Au as the light sensor unit shows a high on/off ratio (Iph/Id) reaching ∼5 × 104 at 0 V. The memristor unit, consisting of ITO/CBI@P(VDF-TrFE)/Cu, has a RON/ROFF ratio window of ∼106 under 0.05 V read voltage and ultralow power consumption of ∼1 pW. Moreover, the artificial visual perception unit shows stable light-adapted memory windows under different wavelengths of irradiation light (400, 500, and 600 nm; they meet the spectral range of human visual recognition) and can clearly identify the target image (“T” shape) because of the apparent contrast, which results from the high ROFF/RON ratio values. These results provide a potential design strategy for the development of intelligent artificial vision systems.
研究领域:
生物医学工程
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人工智能
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材料科学
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产品关联
DOI
PubMed
高影响因子
Device
·
2024
·
IF 0
Ke Chang,Xinna Yu,Wei Ren,Yunyang He,Zhikai Gan,Saiqun Ma,Huanpei Huang,Xianmin Jin,Yafei Zhang,Hui Wang
Semiconductor heterostructures can be used to explore band structures for creating optoelectronic devices. In this work, we demonstrate an all-optical-driven artificial vision system based on a porous silicon heterojunction with in-sensor processing capabilities. The abundant surface states of porous silicon enable light trapping and photoelectric conversion, which allow the sensor to exhibit high sensitivity and detect weak light signals. By utilizing differential optoelectronic signals, the integrated device can perform multiple functions within a single unit, such as in-sensor encoding and trajectory tracking of dynamic optical signals. The neuromorphic vision systems based on this photoelectric retina can perform optoelectronic modulation, trajectory reconstruction, and handwritten text recognition and can emulate functions of the human retina with temporal and spatial resolution. The design strategy here can be used to implement in-sensor processing of dynamic optical signals in machine vision systems.
研究领域:
半导体异质结构
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光电子器件
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神经形态视觉系统
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表面态效应
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DOI
ACS Photonics
·
2024
·
IF 6.5
Longlong Jiang,Banghu Wang,Fan Ni,Wentao Xu,Xiaohong Wang,Lei Zheng,Longzhen Qiu
Artificial photoelectric synaptic devices are promising candidates for simulating the perception, processing, and memory functions of biological visual information. Dielectric layer interface modification is a simple and effective strategy for the fabrication of light stimulated synaptic devices. In this work, the dielectric layer interface was tuned by varying the terminating groups of self-assembled monolayers (SAMs), whereas the polymer polydiketopyrrolopyrrole-selenophene with hybridized siloxane side chains (PTDPPSe-4Si) was used as the active layer for fabrication of the transistor devices. Enhanced optoelectronic performance was observed in the fabricated devices that were treated by pentafluorophenylpropyltrichlorosilane (FPPTS) due to the presence of more interfacial charge traps. The photosensitivity and detection rate were found to be up to 105 and 1011 Jones, respectively. Furthermore, it was also shown experimentally that the interfacial charge trapping effect was caused by a combined effect of electron trapping by the SAMs-modified interface and traps present within the active layer. Biological synaptic plasticity was successfully simulated using FPPTS/PTDPPSe-4Si-based devices. The memory and forgetting processes of biomimetic visual information were also simulated. Finally, conventional neural networks were used for image recognition, achieving a recognition rate of over 95%.
研究领域:
材料科学
·
仿生学
·
电子工程
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产品关联
DOI
高影响因子
Light-Science & Applications
·
2025
·Vol. 14
·期 1
·1-10
·
IF 23.4
Mu Ge,Lin Yangye,Fu Kerui,Tang Xin
Biological visions have inspired the development of artificial vision systems with diverse visual functional traits, however, the detected wavelength is only in visible light between 0.4 and 0.78 μm, restricting their applications. Snakes generate a thermal image of animals due to pit organs for detecting and converting infrared, allowing them to accurately target predators or prey even under darkness. Inspired by natural infrared visualized snakes, we propose artificial vision systems with CMOS sensors-integrated upconverters to break visible light limitations to realize 3840 × 2160 ultra-high-resolution short-wave infrared (SWIR) and mid-wave infrared (MWIR) visualization imaging for the first time. Through colloidal quantum dot barrier heterojunction architecture design of infrared detecting units and the introduction of co-hosted emitting units, the luminance and upconversion efficiency reach up to 6388.09 cd m −2 and 6.41% for SWIR, 1311.64 cd m −2 and 4.06% for MWIR at room temperature. Our artificial vision systems broaden a wide spectrum of applications within infrared, such as night vision, agricultural science, and industry inspection, marking a significant advance in bioartificial vision.
研究领域:
生物启发
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光电子学
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红外成像
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传感器技术
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人工智能
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材料科学
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纳米结构
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产品关联
DOI
PubMed
高影响因子
Applied Materials Today
·
2025
·
IF 6.9
Zhenyu Li,Lingling Zhang,Yafei Chen,Xueyong Zheng,Chunli Jiang,Chunhua Luo,Hechun Lin,Hui Peng
The limitations of von Neumann architectures in computational speed and energy efficiency have driven the development of neuromorphic computing systems, where optoelectronic synaptic devices play a pivotal role in enabling brain-inspired information processing. This study presents an optoelectronic synaptic device based on a two-dimensional conductive metal-organic framework material Cu-BHT which exhibits broad visible-light absorption (300 - 600 nm), high photoconductivity, and solution processability. The fabricated device with a planar structure of Ag/Cu-BHT/Ag successfully simulates the key biological synaptic functionalities, including excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), and short-to-long-term memory transitions. The device achieves a high accuracy of 96.3% in MNIST handwritten digit recognition using a convolutional neural network (CNN). Furthermore, multi-wavelength response of the device enables optical logic operations (AND/OR) and associative learning paradigms, such as Pavlovian conditioning experiment. This work underscores Cu-BHT as a versatile material for neuromorphic computing and artificial visual systems, with future research exploring scalable fabrication and hybrid integration to realize adaptive vision platforms with enhanced energy efficiency.
研究领域:
神经形态工程
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光电子学
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材料科学
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人工智能
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神经网络
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产品关联
DOI
高影响因子
ADVANCED FUNCTIONAL MATERIALS
·
2022
·Vol. 32
·期 25
·2201276
·
IF 19.924
Peixian Lei,Huan Duan,Ling Qin,Xianhua Wei,Rui Tao,Zegao Wang,Feng Guo,Menglin Song,Wenjing Jie,Jianhua Hao
Artificial optoelectronic synapses with both electrical and light-induced synaptic behaviors have recently been studied for applications in neuromorphic computing and artificial vision systems. However, the combination of visual perception and high-performance information processing capabilities still faces challenges. In this work, the authors demonstrate a memristor based on 2D bismuth oxyiodide (BiOI) nanosheets that can exhibit bipolar resistive switching (RS) performance as well as electrical and light-induced synaptic plasticity eminently suitable for low-power optoelectronic synapses. The fabricated memristor exhibits high-performance RS behaviors with a high ON/OFF ratio up to 10 5 , an ultralow SET voltage of ≈0.05 V which is one order of magnitude lower than that of most reported memristors based on 2D materials, and low power consumption. Furthermore, the memristor demonstrates not only electrical voltage-driven long-term potentiation, depression plasticity, and paired-pulse facilitation, but also light-induced short- and long-term plasticity. Moreover, the photonic synapse can be used to simulate the “learning experience” behaviors of human brain. Consequently, not only the memristor based on BiOI nanosheets shows ultra-low SET voltage and low-power consumption, but also the optoelectronic synapse provides new material and strategy to construct low-power retina-like vision sensors with functions of perceiving and processing information.
研究领域:
神经形态电子学
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光电子学
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纳米材料
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人工智能硬件
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电阻开关器件
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DOI
高影响因子
ADVANCED FUNCTIONAL MATERIALS
·
2025
·
IF 19
Yu Han,Jun Li,Shuhuan Hao,Wan-Zhen Fo,Liwen Cao,Mengjiao Li,Yanan Liu,Jianhua Zhang
Photonic synaptic transistors, designed to emulate the multispectral light detection of retinal neurons, play a pivotal role in advancing artificial vision systems capable of full-color image recognition. However, their limited sensitivity to weak and multispectral light significantly hampers their application in full-color image capture and recognition. In this work, a p-i-n structured synaptic transistor is introduced that improves weak light sensitivity and enhances synaptic performance by addressing interface issues. By integrating P3HT/LiF/InZnGdO nanofibers as p-i-n structure, the spectral response is successfully broadened from visible to near-UV region, achieving sensitivity to light intensities as low as 0.05 mW cm −2 . The device exhibits remarkable PPF characteristics across the wavelength range of 395–633 nm, with the PPF index showing a maximum increase of 84% compared to the single InZnGdO nanofiber device. Additionally, multiple neural networks are constructed with data from the synaptic transistor array driven by wavelength-tunable synaptic plasticity to validate the device's feasibility in various application scenarios. The proposed device achieved a recognition accuracy of up to 95.26% for high-precision full-color images based on the public CIFAR-10 dataset. This p-i-n structure offers a novel pathway to enhance the synaptic performance of metal oxide-based synaptic transistors, advancing the development of next-generation artificial vision.
研究领域:
神经形态工程
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光电子学
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人工智能
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材料科学
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传感器与探测器
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产品关联
DOI
高影响因子
Journal of Materials Chemistry C
·
2021
·Vol. 10
·期 7
·2681-2689
·
IF 7.393
Qing Zhang,Xin Ye,Yue Zheng,Yongshuai Wang,Lin Li,Zhansheng Gao,Jinxiong Wu,Huanli Dong,Dechao Geng,Wenping Hu
Two-dimensional (2D) crystals of conjugated polymers (2DCCPs) have attracted significant attention in the past few decades due to their superior and intriguing optoelectronic properties. With the increase in brain-inspired neuromorphic computing, 2DCCPs have also been employed in the construction of synaptic devices because they offer clear advantages of easy integration, high stability, long–range order and no biological rejection. However, pursuing controllable strategies to obtain high-quality and large-scale 2DCCPs remains a challenge on account of their intrinsic complex structures. Herein, we present a universal methodology to grow centimeter-scale 2DCCPs in a controlled manner within minutes by selecting an appropriate growth-assisting solvent and surfactant. The thickness of the as-produced 2DCCPs was down to two molecular layers. The photonic synaptic transistors based on the as-grown 2DCCPs could perform typical synaptic functions, including short-term plasticity, paired-pulse facilitation, long-term plasticity and spike intensity-dependent plasticity. The transistor was also proven to have potential application as a high-pass filter. This methodology shows great potential to be expanded to many other polymer systems and opens new pathways for large-area integrated wireless communication systems and artificial visual systems.
研究领域:
材料科学
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神经科学
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电气工程
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光子学
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纳米技术
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产品关联
DOI
高影响因子
Nano Energy
·
2023
·
IF 17.6
Tao Wang,Daming Zheng,Karol Vegso,Nada Mrkyvkova,Peter Siffalovic,Xiaocong Yuan,Michael G. Somekh,Laurent Coolen,Thierry Pauporte,Feng Fu
Metal halide perovskites are attracting increasing attention as photodetectors (PDs) materials due to their excellent photoelectric properties. However, integrating perovskite to realize high-resolution perovskite pixel arrays remains critical to enable practical devices. Herein, we demonstrate a high-responsivity and stable 10 × 10 flexible PDs array based on formamidinium-based quasi-2D Ruddlesden-Popper (BA) 2 FAPb 2 I 7 (n = 2) (BA= butylammonium, C 4 H 9 NH 3 + ) perovskite elements for image sensing. The high-performance (BA) 2 FAPb 2 I 7 arrays are synthesized on a polyethylene terephthalate (PET) flexible substrate , on a large scale, high quality, and controllable manner by introducing Au nanoparticles to enhance film quality upon the annealing process and recrystallization by applying formamidinium chloride (FACl) post-treatment to reduce perovskite film defects, combined with an innovative SiO 2 -assisted hydrophilic and hydrophobic surface treatment strategy. The prepared flexible PDs arrays show excellent optoelectronic properties with high responsivity (5.9 A W −1 ), a detectivity of 8.2 × 10 12 Jones, large on/off current ratio (up to 3 × 10 4 ), ultimate response speed (12.8 μs/10.1 μs), and wide spectral response range. In addition, the device shows outstanding mechanical stability under severe bending (θ = 120°) and excellent folding durability after thousands of bending cycles. It also exhibits excellent environmental stability with only a slight degradation of photoresponse after 100 days of storage under the ambient environment. Finally, the integrated flexible PDs arrays can be used as an effective visible light image sensor with good spatial resolution, paving a multifunctional and competitive way for future wearable sensors and artificial vision systems. One-sentence summary Low-dimensional halide perovskite layers pixelized on a polyethylene terephthalate (PET) flexible substrate provide high performance photodetectors.
研究领域:
材料科学
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光电子学
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纳米技术
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成像技术
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可穿戴设备
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产品关联
DOI
高影响因子
CURRENT APPLIED PHYSICS
·
2023
·
IF 2.4
WenXin Zhang,Hao Li,Haofei Cong,Ruifu Zhou,Yuanbin Qin,Peilong Xu,Xuhai Liu,Fengyun Wang
One-dimensional wide band-gap metal oxide semiconductors demonstrate enormous potential in high-performance ultraviolet photodetectors. Here, via tuned zinc oxide (ZnO) concentration ratio and heterojunction structure as well as decent V TH value, we electrospun tin zinc oxide (SnZnO X ) nanowires for photoelectronic conversion function. The constructed optimized photodetectors based on Sn 8 Zn 2 O X nanowires can exhibit a remarkable detectivity of 1.77 × 10 16 Jones, excellent responsivity of 2.23 × 10 3 A/W and relative high sensitivity over 10 4 . In addition to the excellent photodetection performance, Sn 8 Zn 2 O X nanowire devices exhibit nonvolatile memory effect , which can maintain the light-induced low resistance state at 5 V without light. Moreover, a voltage of 30 V was applied to Sn 8 Zn 2 O X nanowires devices to realize light-writing state switching to bias-erasing state, and the device could come back to their initial high resistance state. These results indicate SnZnO X nanowires devices possess a tremendous potential in the circuit design of the artificial visual system.
研究领域:
材料科学
·
纳米电子学
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光电子学
·
半导体器件
·
人工视觉系统
✓ 已验证
DOI
高影响因子
ADVANCED FUNCTIONAL MATERIALS
·
2025
·
IF 19
Chenhao Xu,Wen Wang,Zewen Li,Zongbo Feng,Taiyuan Chai,Yongxu Hu,Lei Zheng,Yuchan Wang,Wenping Hu
The tetrachromatic-inspired neuromorphic visual memristor (NVM) provides an opportunity to enhance human color perception and discrimination capabilities. However, current researches predominantly focus on UV sensing under high-power conditions and memory functionalities, often neglecting practical capabilities such as image perception enabled by weak UV signals and spatial-temporal pre-processing. Here, to address it, an all-in-one NVM based on a novel C 6 -DPA:Cs 3 Bi 2 I 9 /PMMA (C6-CP) organic/inorganic perovskite semiconductor bulk heterostructure is developed, fabricated using a scalable and low-temperature solution process. At a 1:6 volume ratio, it exhibits unique UV-modulated multi-channel conductive filaments, resulting in excellent neuromorphic synaptic performance, as well as an ultralow UV detection limit of ≈0.41 µW cm −2 and a high specific detectivity ( D * ) of 4.2 × 10 14 Jones. This represents a 1000-fold improvement over current UV-excited memristors. Moreover, the device uses its differential response to UV intensity variations to mimic the butterflyfish bio-retina, enabling grayscale detection and image extraction even with 50% noise interference. Subsequently, additional integration of multi-level edge-enhanced convolutional kernels allow C 6 -CP-based array devices to precisely control spatio-temporal synchronization between event detection and grayscale sensing, enabling accurate extraction of fish movement trajectories under low-light conditions. This work improves multi-dimensional image processing under complex lighting conditions for intelligent NVM systems.
研究领域:
神经形态工程
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光电子器件
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钙钛矿半导体
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人工视觉系统
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图像传感与处理
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产品关联
DOI
高影响因子
危险品化学品经营许可证（带存储）