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Article
Chemistry, Multidisciplinary
Dingdong Xie et al.
Summary: Visual adaptation allows organisms to perceive the external world accurately, even in changing environments. In this study, a novel porous metal-organic-framework phototransistor with anisotropic-ReS2-based heterojunction is demonstrated for polarization-sensitive visual adaptation emulation. The device exhibits intriguing polarized sensitivity and adaptive ability. Through this phototransistor, various polarization-sensitive neuromorphic behaviors are experimentally demonstrated, and advanced polarization-sensitive visual adaptation is successfully achieved with the polarization-electricity cooperation strategy.
ADVANCED MATERIALS
(2023)
Article
Engineering, Electrical & Electronic
Guangjian Wu et al.
Summary: The researchers report a hybrid MoS2/PbS quantum dots-based optoelectronic device with short-term memory properties for in-sensor reservoir computing (RC). They demonstrate that the device can effectively regulate the dynamic temporal photoresponse behavior through the photogating effect induced by incident optical intensity and time. The device shows high accuracy in image classifying and time series prediction, indicating its potential for intelligent edge computing.
IEEE ELECTRON DEVICE LETTERS
(2023)
Article
Nanoscience & Nanotechnology
Jiewei Chen et al.
Summary: Inspired by agile insects, researchers emulate graded neurons using optoelectronic devices to achieve bioinspired in-sensor motion perception with high recognition accuracy. This study is important for understanding efficient motion perception in insects and its application in artificial intelligence.
NATURE NANOTECHNOLOGY
(2023)
Article
Multidisciplinary Sciences
Seungchul Jung et al.
Summary: This paper presents a 64 x 64 crossbar array based on MRAM cells that overcomes the low-resistance issue and successfully implements analogue multiply-accumulate operations in artificial neural networks. The researchers achieved high classification accuracy and face detection using this array for tasks involving 10,000 digits.
Article
Nanoscience & Nanotechnology
Zhenhan Zhang et al.
Summary: This study introduces a hardware device inspired by the retina, with all-in-one perception, memory, and computing capabilities for the detection and recognition of moving objects. It achieves fast and efficient detection and recognition, outperforming previous results.
NATURE NANOTECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Fuyou Liao et al.
Summary: This study presents bioinspired vision sensors based on molybdenum disulfide phototransistors that mimic the adaptive behavior of human eyes. By introducing charge trap states, the photosensitivity of the devices can be dynamically modulated under different lighting conditions, providing highly localized and dynamic modulation of photosensitivity at the pixel level and creating an effective perception range of up to 199 dB.
NATURE ELECTRONICS
(2022)
Article
Multidisciplinary Sciences
Lei Liu et al.
Summary: This study reports the successful nucleation of bilayer molybdenum disulfide (MoS2) on c-plane sapphire, achieving uniformity in the nucleation process. The design of atomic terrace height on c-plane sapphire allows for an edge-nucleation mechanism and the coalescence of MoS2 domains into continuous, centimeter-scale films. Field-effect transistor devices based on bilayer MoS2 channels show improved mobility and reduced variation compared to monolayer films.
Article
Multidisciplinary Sciences
Boyuan Cui et al.
Summary: In this study, a robust, fast, and low-power hardware platform for real-time machine vision is developed using ferroelectric photo sensors. The hardware platform, called FE-PS-NET, consists of ferroelectric photosensors with tunable photoresponsivities and is capable of simultaneous image capturing and processing. The FE-PS-NET acts as an artificial neural network and demonstrates in situ multiply-accumulate operation between an input image and a stored photoresponsivity matrix. It shows faultless competency for real-time image processing functionalities, highlighting the great potential of ferroelectric photovoltaics for real-time machine vision.
NATURE COMMUNICATIONS
(2022)
Article
Multidisciplinary Sciences
Seokhyeong Lee et al.
Summary: The authors report the realization of a programmable image sensor based on black phosphorus that can perform multispectral imaging and analog in-memory computing in the near- to mid-infrared range. The sensor enables in-sensor computing, reducing communication latency and power consumption. This multifunctional infrared image sensor has great potential for distributed and remote multispectral sensing applications.
NATURE COMMUNICATIONS
(2022)
Article
Multidisciplinary Sciences
Shania Rehman et al.
Summary: This study demonstrates an analog-digital hybrid computing platform based on SnS2 memtransistors for low-power sensor fusion in drones. The platform utilizes analog signal processing to remove noise and accurately estimate the rotation of the drone by combining data from the gyroscope and accelerometer. Experimental results show that the hybrid computing platform has lower power consumption compared to traditional software algorithms.
NATURE COMMUNICATIONS
(2022)
Article
Chemistry, Multidisciplinary
Jie Lao et al.
Summary: A neuromorphic visual system integrating optoelectronic synapses and self-powered devices achieves high energy efficiency and accuracy, providing a new direction for ultralow-power machine vision.
Review
Nanoscience & Nanotechnology
Suhas Kumar et al.
Summary: Research on electronic devices and materials is driven by the slowdown of transistor scaling and the growth of computing needs. Using devices like memristors to achieve complex dynamics enables new computing architectures with high energy efficiency and computing capacity.
NATURE REVIEWS MATERIALS
(2022)
Article
Engineering, Electrical & Electronic
Lejing Pi et al.
Summary: In this study, we demonstrate a palladium diselenide/molybdenum ditelluride van der Waals photovoltaic heterostructure that can provide simultaneous broadband image sensing and convolutional processing. The band alignment of the heterojunctions is tunable, and the devices show linear relationships between light intensity and photoconductivity, as well as between gate voltage and broadband photoresponse. Our in-sensor broadband convolutional processing improves recognition accuracy for multi-band images compared with conventional single-band-based convolutional neural networks.
NATURE ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Guanyu Liu et al.
Summary: This study presents a graphene-assisted metal transfer printing process for achieving van der Waals contacts between two-dimensional materials and three-dimensional metal electrodes. Different metal electrodes can be printed on various substrates to form high-quality metal-semiconductor interfaces.
NATURE ELECTRONICS
(2022)
Article
Multidisciplinary Sciences
Rengjian Yu et al.
Summary: Selective attention is an efficient processing strategy in allocating computational resources for pivotal optical information. A bionic vision hardware is proposed to emulate this behavior, showing potential in image classification.
NATURE COMMUNICATIONS
(2022)
Article
Multidisciplinary Sciences
Akhil Dodda et al.
Summary: The authors propose a solution for IoT edge sensors based on two-dimensional (2D) memtransistors, integrating sensing, storage, and encryption functionalities. The sensors offer low power consumption and near-sensor security.
NATURE COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Chanyeol Choi et al.
Summary: Artificial intelligence applications have driven the search for efficient hardware architecture that can process large amounts of data. This study introduces stackable hetero-integrated chips using optoelectronic device arrays and memristor crossbar arrays for high parallel data processing and classification.
NATURE ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Keqin Liu et al.
Summary: Researchers have developed an optoelectronic synapse based on alpha-In2Se3 for creating a reservoir computing system capable of multimode and multiscale signal processing. By controlling the temporal dynamics of the synapse, adjustable nonlinear transformations and multisensory fusion are achieved. The relaxation timescale of the alpha-In2Se3 synapse is also tunable, allowing for the creation of a multiscale reservoir computing system.
NATURE ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Ali Moin et al.
Summary: Wearable devices utilizing surface electromyography to monitor muscle activity for hand gesture recognition applications can implement a neuro-inspired hyperdimensional computing algorithm locally with adaptive learning capabilities. The system can classify multiple hand gestures in real-time with high accuracy, and adapt to varying conditions without the need for additional computation on an external device.
NATURE ELECTRONICS
(2021)
Article
Multidisciplinary Sciences
Peng Chen et al.
Summary: By utilizing van der Waals contacts with minimal interfacial disorder, the study successfully suppresses contact-induced Shockley-Read-Hall recombination and achieves nearly intrinsic photophysics-dictated device performance in two-dimensional semiconductor diodes. This highlights the importance of exciton diffusion and two-body exciton-charge Auger recombination in 2D devices, demonstrating that the intrinsic photophysics of 2D semiconductors can be leveraged to enhance optoelectronic device efficiency.
Article
Multidisciplinary Sciences
Fatemeh Kiani et al.
Summary: Memristive crossbar arrays aim to improve computing throughput and power efficiency through in-memory analog computing. The new hardware-based neural network design implements activation functions in analog hardware, eliminating the need for digital conversion and transmission, resulting in higher computing efficiency.
Article
Multidisciplinary Sciences
Qian-Bing Zhu et al.
Summary: The challenges of developing neuromorphic vision systems inspired by the human eye involve the recreation of flexibility, sophistication, and adaptability of animal systems with computational efficiency and elegance. The integration of image sensing, memory, and processing functions into the device, along with real-time processing of analog brightness signals, is crucial for practical artificial vision systems. High integration, flexibility, and ultra-sensitivity are essential for emulating biological processing in artificial vision systems.
NATURE COMMUNICATIONS
(2021)
Article
Multidisciplinary Sciences
Jinran Yu et al.
Summary: The research presents a bioinspired mechano-photonic artificial synapse that can modulate optoelectronic synaptic behaviors by controlling charge transfer/exchange in the heterostructure with triboelectric potential. The artificial synapse shows great potential for implementing mixed-modal interaction and promoting the development of interactive artificial intelligence.
Article
Multidisciplinary Sciences
Linfeng Sun et al.
Summary: This study presents a sensor reservoir computing approach for language learning, utilizing two-dimensional memristors to achieve high dimensionality, nonlinearity, and fading memory. With an accuracy of 91% in classifying short sentences, it offers a low training cost and real-time solution for processing temporal and sequential signals in machine learning applications at the edge.
Article
Chemistry, Multidisciplinary
Guangdi Feng et al.
Summary: A wearable artificial vision system with painful-perceptual abilities has been successfully developed for flexible electronic-skin applications using a novel vertical coplanar-multiterminal flexible transient photogating transistor network, which not only provides information security and wearability but also demonstrates visual pain-perceptual abilities.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Article
Multidisciplinary Sciences
Lei Tong et al.
Summary: In this study, a novel device architecture combining tungsten diselenide and lithium niobate is proposed for use as a nonlinear transistor and nonvolatile memory. Based on this homogeneous architecture, an integrated system for binary classification and ternary content-addressable memory design for neuromorphic hardware is also investigated.
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Hea-Lim Park et al.
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(2020)
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(2020)
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Lukas Mennel et al.
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(2018)
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