Reconfigurable halide perovskite nanocrystal memristors for neuromorphic computing

Abstract Many in-memory computing frameworks demand electronic devices with specific switching characteristics to achieve the desired level of computational complexity. Existing memristive devices cannot be reconfigured to meet the diverse volatile and non-volatile switching requirements, and hence rely on tailored material designs specific to the targeted application, limiting their universality. “Reconfigurable memristors” that combine both ionic diffusive and drift mechanisms could address these limitations, but they remain elusive. Here we present a reconfigurable halide perovskite nanocrystal memristor that achieves on-demand switching between diffusive/volatile and drift/non-volatile modes by…

• EC
  European Commission

  Awards: H2020, 861153
• BW
  Branco Weiss Fellowship – Society in Science
• ET
  Eidgenössische Technische Hochschule Zürich
• H2
  Horizon 2020 Framework Programme

  Award: 861153