Dynamically nonlinear NbO <sub> <i>x</i> </sub> memristors for multifunctional reservoir and neuromorphic computing

NbO x memristors were rapidly fabricated via an electrochemical process, providing nonlinearity and memory suitable for multifunctional, integrated neuromorphic computing systems.

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Publication Details

Journal
Journal of Materials Chemistry C
Published
2025-12-17
DOI
https://doi.org/10.1039/d5tc04104j
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Dynamically nonlinear NbO x memristors for multifunctional reservoir and neuromorphic computing

Journal of Materials Chemistry C
Neural Networks and Reservoir Computing
article

Dynamically nonlinear NbO x memristors for multifunctional reservoir and neuromorphic computing

article en

Abstract

NbO x memristors were rapidly fabricated via an electrochemical process, providing nonlinearity and memory suitable for multifunctional, integrated neuromorphic computing systems.

Journal of Materials Chemistry CVol. 14(8)
Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 19%
Neural Networks and Reservoir Computing
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Dynamically nonlinear NbO <sub> <i>x</i> </sub> memristors for multifunctional reservoir and neuromorphic computing · Journal of Materials Chemistry C (2025) | TGRS Research Map | TGRS