Observational analysis shows improved energy efficiency in neuromorphic computing systems, suggesting ionic memristors are a promising solution.
The advance of neuromorphic computing is driven by the development of computing hardware and architecture. For further improving the energy efficiency of the computing, nanofluidic ionic memristors have been rapidly...
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Kwan et al. (2025) studied this question.
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