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- W2968734568 abstract "Simulating synaptic function and building brain-inspired computers have received widespread attention. The memristor is considered to be an electronic version of the synapse and an excellent element for creating a brand-new artificial intelligence system in the future. However, most memristor-based electronic synapses currently exhibit low stability due to complex resistance switching processes. Based on a controllable in-situ formation strategy that we were able to employ with atomic layer deposition, we fabricated electronic synapses based on Au@Al <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> O <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>3</sub> core-shell nanoparticles. Our device exhibited extremely reliable, stable, and durable performance and showed a capability to emulate biological synaptic behavior, including synaptic plasticity, long-term depression (LTD), long-term potentiation (LTP), amplitude dependence, and frequency dependence. This research provides a strategy for manufacturing highly-reliable electronic synapses for neuromorphic applications." @default.
- W2968734568 created "2019-08-22" @default.
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- W2968734568 date "2019-10-01" @default.
- W2968734568 modified "2023-10-16" @default.
- W2968734568 title "Highly Reliable Electronic Synapse Based on Au@Al<sub>2</sub>O<sub>3</sub> Core-Shell Nanoparticles for Neuromorphic Applications" @default.
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- W2968734568 doi "https://doi.org/10.1109/led.2019.2934895" @default.
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