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A Reconfigurable All-Optical-Controlled Synaptic Device for Neuromorphic Computing Applications.
ACS NanoRetina-inspired visual sensors play a crucial role in the realization of neuromorphic visual systems. Nevertheless, significant obstacles persist in the pursuit of achieving bidirectional synaptic behavior and attaining high performance in the context of
Tao Zhang +5 more
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Nano letters (Print)
Researching optoelectronic memristors capable of integrating sensory and processing functions is essential for advancing the development of efficient neuromorphic vision.
Chen Lu +7 more
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Researching optoelectronic memristors capable of integrating sensory and processing functions is essential for advancing the development of efficient neuromorphic vision.
Chen Lu +7 more
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Memristors with Tunable Volatility for Reconfigurable Neuromorphic Computing.
ACS NanoNeuromorphic computing promises an energy-efficient alternative to traditional digital processors in handling data-heavy tasks, primarily driven by the development of both volatile (neuronal) and nonvolatile (synaptic) resistive switches or memristors ...
Kyung Seok Woo +11 more
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Advances in Materials
Organic ion‐gated transistors (OIGTs) demonstrate commendable performance for versatile neuromorphic systems. However, due to the fragility of organic materials to organic solvents, efficient and reliable all‐photolithography methods for scalable ...
Xu Liu +14 more
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Organic ion‐gated transistors (OIGTs) demonstrate commendable performance for versatile neuromorphic systems. However, due to the fragility of organic materials to organic solvents, efficient and reliable all‐photolithography methods for scalable ...
Xu Liu +14 more
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ACS Nano
Neuromorphic computing seeks to replicate the capabilities of parallel processing, progressive learning, and inference while retaining low power consumption by drawing inspiration from the human brain. By further overcoming the constraints imposed by the
Henrique Teixeira +3 more
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Neuromorphic computing seeks to replicate the capabilities of parallel processing, progressive learning, and inference while retaining low power consumption by drawing inspiration from the human brain. By further overcoming the constraints imposed by the
Henrique Teixeira +3 more
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Nature Nanotechnology
Quantum materials exhibit dissipationless topological edge state transport with quantized Hall conductance, offering notable potential for fault-tolerant computing technologies.
Moyu Chen +13 more
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Quantum materials exhibit dissipationless topological edge state transport with quantized Hall conductance, offering notable potential for fault-tolerant computing technologies.
Moyu Chen +13 more
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One-Dimensional Covalent Organic Framework-Based Multilevel Memristors for Neuromorphic Computing.
Angewandte ChemieMemristors are essential components of neuromorphic systems that mimic the synaptic plasticity observed in biological neurons. In this study, a novel approach employing one-dimensional covalent organic framework (1D COF) films was explored to enhance the
Panke Zhou +9 more
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Advanced Functional Materials
Synthetic antiferromagnet (SAF) with high thermal stability, ultra‐fast spin dynamics, and highly efficient spin‐orbit torque switching has great application potential in neuromorphic computing hardware.
Xiang Han +12 more
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Synthetic antiferromagnet (SAF) with high thermal stability, ultra‐fast spin dynamics, and highly efficient spin‐orbit torque switching has great application potential in neuromorphic computing hardware.
Xiang Han +12 more
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ACS Nano
In artificial synaptic devices aimed at mimicking neuromorphic computing systems, electrical or optical pulses, or both, are generally used as stimuli.
Soirik Dan, Subham Paramanik, A. Pal
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In artificial synaptic devices aimed at mimicking neuromorphic computing systems, electrical or optical pulses, or both, are generally used as stimuli.
Soirik Dan, Subham Paramanik, A. Pal
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Nano letters (Print)
Reconfigurable neuromorphic computing holds promise for advancing energy-efficient neural network implementation and functional versatility. Previous work has focused on emulating specific neural functions rather than an integrated approach.
Jiayang Hu +6 more
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Reconfigurable neuromorphic computing holds promise for advancing energy-efficient neural network implementation and functional versatility. Previous work has focused on emulating specific neural functions rather than an integrated approach.
Jiayang Hu +6 more
semanticscholar +1 more source

