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Soft Memristor at a Microbubble Interface.

Yueke NiuYu MaYanbo Xie
Published in: Nano letters (2024)
Memristors show promising features for neuromorphic computing. Here we report a soft memristor based on the liquid-vapor surface of a microbubble. The thickness of the liquid film was modulated by electrostatic and interfacial forces, enabling resistance switches. We found a pinched current hysteresis at scanning periods between 1.6 and 51.2 s, while representing a resistor below 1.6 s and a diode-like behavior above 51.2 s. We approximate the thickening/thinning dynamics of liquid film by pressure-driven flow at the interface and derived the impacts of salt concentration and voltage amplitude on the memory effects. Our work opens a new approach to building nanofluidic memristors by a soft interface, which may be useful for new types of neuromorphic computing in the future.
Keyphrases
  • ionic liquid
  • room temperature
  • molecular dynamics simulations
  • reduced graphene oxide
  • high resolution
  • working memory
  • optical coherence tomography
  • resting state