Results 21 to 30 of about 1,552,309 (181)
2D-materials-based optoelectronic synapses for neuromorphic applications
eScience, 2023 Optoelectronic artificial synapses (OEASs) are essential for realizing artificial neural networks (ANNs) in next-generation information processing that has high transmission speed, high bandwidth, and low power consumption. Two-dimensional (2D) materials
Jiaxin Chen, Wentao Xu
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Spintronic Artificial Synapses Using Voltage‐Controlled Multilevel Magnetic States
Advanced Electronic MaterialsNeuromorphic computing offers energy‐efficient computations for large‐scale data processing compared to conventional von Neumann computing. The artificial synapse, a key element for learning and memory operations in neuromorphic computing, requires multi‐
Jimin Jeong +5 more
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Polarity-tunable dye-sensitized optoelectronic artificial synapses for physical reservoir computing-based machine vision [PDF]
Scientific ReportsConventional machine vision systems process huge time-series data per second, presenting significant challenges for edge-device applications due to limitations in data transfer and storage.
Hiroaki Komatsu +2 more
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Graphene-Based Artificial Synapses with Tunable Plasticity
ACM Journal on Emerging Technologies in Computing Systems, 2021 Design and implementation of artificial neuromorphic systems able to provide brain akin computation and/or bio-compatible interfacing ability are crucial for understanding the human brain’s complex functionality and unleashing brain-inspired computation’s full potential.
He Wang 0013 +3 more
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Two-terminal β-Ga2O3 photo-synapse for diversified in-sensor computing via self-trapped holes engineering [PDF]
Light: Science & ApplicationsThe rapid advancement of artificial intelligence has propelled the development of β-Ga2O3 photo-synapses for solar-blind ultraviolet neuromorphic machine vision systems. However, existing β-Ga2O3 photo-synapses not only exhibit reduced stability but also
Yiyin Nie +7 more
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Solution‐Processed Perovskite Field‐Effect Transistor Artificial Synapses [PDF]
Advanced Materials, 2021 Paschalis Gkoupidenis +2 more
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Advanced Electronic Materials, 2023 Neuromorphic computing employs a great number of artificial synapses which transfer information between neurons. Conventional two‐ or three‐terminal artificial synapses with homosynaptic plasticity suffer from a positive feedback loop problem.
Fengben Xi +6 more
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Bio-inspired artificial synapses: Neuromorphic computing chip engineering with soft biomaterials
Memories - Materials, Devices, Circuits and Systems, 2023 In the context of neuromorphic computing chip engineering, this review paper explores the area of bio-inspired artificial synapses with a focus on the incorporation of soft biomaterials.
Tanvir Ahmed
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Scalable Microscale Artificial Synapses of Lead Halide Perovskite with Femtojoule Energy Consumption. [PDF]
ACS Energy LettThe efficient conduction of mobile ions in halide perovskites is highly promising for artificial synapses (or memristive devices), devices with a conductivity that can be varied by applying a bias voltage.
de Boer JJ, Ehrler B.
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Advanced Electronic Materials, 2023 Spintronic devices can realize multi‐state storage and be used to simulate artificial synapses or artificial neurons, which makes them have promising application prospect in the field of artificial neural networks (ANN).
Bo Zhang +6 more
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