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Interfacial Resistive Switching by Multiphase Polarization in Ion-Intercalation Nanofilms.

Huanhuan TianMartin Z Bazant
Published in: Nano letters (2022)
Nonvolatile resistive-switching (RS) memories promise to revolutionize hardware architectures with in-memory computing. Recently, ion-interclation materials have attracted increasing attention as potential RS materials for their ion-modulated electronic conductivity. In this Letter, we propose RS by multiphase polarization (MP) of ion-intercalated thin films between ion-blocking electrodes, in which interfacial phase separation triggered by an applied voltage switches the electron-transfer resistance. We develop an electrochemical phase-field model for simulations of coupled ion-electron transport and ion-modulated electron-transfer rates and use it to analyze the MP switching current and time, resistance ratio, and current-voltage response. The model is able to reproduce the complex cyclic voltammograms of lithium titanate (LTO) memristors, which cannot be explained by existing models based on bulk dielectric breakdown. The theory predicts the achievable switching speeds for multiphase ion-intercalation materials and could be used to guide the design of high-performance MP-based RS memories.
Keyphrases
  • electron transfer
  • ionic liquid
  • working memory
  • machine learning
  • mass spectrometry
  • molecular dynamics
  • risk assessment
  • artificial intelligence
  • deep learning
  • liquid chromatography
  • solid phase extraction