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Published in 2021 at "Advanced Functional Materials"
DOI: 10.1002/adfm.202100069
Abstract: Artificial synapses are the key building blocks for low‐power neuromorphic computing that can go beyond the constraints of von Neumann architecture. In comparison with two‐terminal memristors and three‐terminal transistors with filament‐formation and charge‐trapping mechanisms, emerging…
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Keywords:
low power;
neuromorphic computing;
mos2;
electrolyte gated ... See more keywords
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Published in 2024 at "Advanced Functional Materials"
DOI: 10.1002/adfm.202403842
Abstract: Neuromorphic computing, inspired by the functionality of biological neural networks, has emerged as a promising paradigm for artificial intelligence applications, especially in the field of flexible electronics. Among the various artificial synaptic devices, floating‐gate synaptic…
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Keywords:
mxene floating;
synaptic transistor;
neuromorphic computing;
floating gate ... See more keywords
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Published in 2024 at "Advanced Functional Materials"
DOI: 10.1002/adfm.202404679
Abstract: 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. However, two challenges, the weakening of Hall signal in the remanent…
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Keywords:
spin orbit;
magnetic field;
neuromorphic computing;
magnetization switching ... See more keywords
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Published in 2025 at "Advanced Functional Materials"
DOI: 10.1002/adfm.202504017
Abstract: Artificial synapses are essential components for realizing neuromorphic computing at the physical level. Although numerous artificial synaptic devices have been fabricated in recent years, their performance is often limited by their resistance state modulation capabilities…
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Keywords:
synaptic devices;
neuromorphic computing;
modulation;
high precision ... See more keywords
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Published in 2020 at "Advanced materials"
DOI: 10.1002/adma.202004659
Abstract: Memristors have recently attracted significant interest due to their applicability as promising building blocks of neuromorphic computing and electronic systems. The dynamic reconfiguration of memristors, which is based on the history of applied electrical stimuli,…
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Keywords:
energy efficient;
artificial synapses;
efficient neuromorphic;
synapses neurons ... See more keywords
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Published in 2022 at "Advanced materials"
DOI: 10.1002/adma.202205294
Abstract: Future-generation neuromorphic computing seeks to overcome the limitations of von Neumann architectures by co-locating logic and memory functions, thereby emulating the function of neurons and synapses in the human brain. Despite remarkable demonstrations of high-fidelity…
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Keywords:
insulator transition;
neuromorphic computing;
metal insulator;
design ... See more keywords
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Published in 2023 at "Advanced materials"
DOI: 10.1002/adma.202300446
Abstract: Being renowned for operating with visible light pulses and electrical signals, optoelectronic memristive synaptic devices have excellent potential for neuromorphic computing systems and artificial visual information processing. Here, we present a flexible back-end-of-line compatible optoelectronic memristor…
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Keywords:
visual perception;
synaptic features;
neuromorphic computing;
artificial visual ... See more keywords
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Published in 2024 at "Advanced Materials"
DOI: 10.1002/adma.202415743
Abstract: Neuromorphic hardware facilitates rapid and energy‐efficient training and operation of neural network models for artificial intelligence. However, existing analog in‐memory computing devices, like memristors, continue to face significant challenges that impede their commercialization. These challenges…
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Keywords:
oxide ion;
synaptic transistor;
neuromorphic computing;
ion ... See more keywords
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Published in 2022 at "Advanced Science"
DOI: 10.1002/advs.202202123
Abstract: Optoelectronic synapses combining optical‐sensing and synaptic functions are playing an increasingly vital role in the neuromorphic computing systems development, which can efficiently process visual information and complex recognition, memory, and learning. Metal halides are considered…
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Keywords:
recognition;
lead free;
neuromorphic computing;
metal halide ... See more keywords
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Published in 2023 at "Advanced Science"
DOI: 10.1002/advs.202207688
Abstract: Carbon dots (CDs) are widely utilized in sensing, energy storage, and catalysis due to their excellent optical, electrical and semiconducting properties. However, attempts to optimize their optoelectronic performance through high‐order manipulation have met with little…
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Keywords:
carbon;
neuromorphic computing;
ligand triggered;
cds ribbons ... See more keywords
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Published in 2024 at "Advanced Science"
DOI: 10.1002/advs.202408210
Abstract: Neuromorphic computing, a promising solution to the von Neumann bottleneck, is paving the way for the development of next‐generation computing and sensing systems. Axon‐multisynapse systems enable the execution of sophisticated tasks, making them not only…
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Keywords:
beam irradiation;
electron beam;
neuromorphic computing;