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Neuromorphic computing

Mechano-ionic memristors for nanofluidic logic

Nature Electronics volume 7, pages 258–259 (2024)Cite this article

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Nanofluidic memristors that rely on mechanical deformations to modulate ionic conductance can be coupled to form logic circuits, opening a route to ionic machinery that could implement neural networks.

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Fig. 1: An asymmetric nanochannel memristor.

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Acknowledgements

B.R. acknowledges funding from the Royal Society University Research Fellowship URF\R\231008. B.R. and A.I. acknowledge funding from EPSRC New Horizons grant EP/X019225/1, funding from the European Union’s H2020 Framework Programme/European Research Council Starting Grant (852674 – AngstroCAP).

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Authors and Affiliations

  1. Department of Physics and Astronomy, School of Natural Sciences, University of Manchester, Manchester, UK

    Abdulghani Ismail & Boya Radha

  2. National Graphene Institute, University of Manchester, Manchester, UK

    Abdulghani Ismail & Boya Radha

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  1. Abdulghani Ismail
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  2. Boya Radha
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Correspondence to Abdulghani Ismail or Boya Radha.

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Ismail, A., Radha, B. Mechano-ionic memristors for nanofluidic logic. Nat Electron 7, 258–259 (2024). https://doi.org/10.1038/s41928-024-01150-y

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