Nanofluidic logic with mechano–ionic memristive switches

Abstract Neuromorphic systems are typically based on nanoscale electronic devices, but nature relies on ions for energy-efficient information processing. Nanofluidic memristive devices could thus potentially be used to construct electrolytic computers that mimic the brain down to its basic principles of operation. Here we report a nanofluidic device that is designed for circuit-scale in-memory processing. The device, which is fabricated using a scalable process, combines single-digit nanometric confinement and large entrance asymmetry and operates on the second timescale with a conductance ratio in the range of 9 to 60. In operando optical microscopy shows that the memory capabilities are due to the reversible…

• NS
  National Science Foundation

  Award: 2229880
• GF
  Graphene Flagship

  Awards: 881603, Core 3
• EC
  European Commission

  Awards: H2020, 881603, 894369, 101020445
• ÉP
  École Polytechnique Fédérale de Lausanne
• SN
  Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

  Awards: 157739, 217134, 205114
• H2
  Horizon 2020 Framework Programme

  Award: 881603
• NC
  National Center of Competence in Research Bio-Inspired Materials, University of Fribourg
• DO
  Division of Electrical, Communications and Cyber Systems