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Soft Memristor at a Microbubble Interface
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DOI：10.1021/acs.nanolett.4c02136.png)
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Abstract
En 中文
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.
Keywords:
Microbubble
Memristor
Liquid films
Soft matter
Hebbian learning
Liquid computing
Journal
IF:
9.1
Papers:
2.7W
Citations:
16.5W
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