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Ionic species programmable synaptic plasticity in multimodal nanofluidic devices.

Miliang Zhang1,2, Ronghua Lan1,2, Zhixiao Si2

  • 1School of Materials and Environmental Engineering, Shenzhen Polytechnic University, Shenzhen 518055, China.

National Science Review
|March 13, 2026
PubMed
Summary
This summary is machine-generated.

Researchers explored ion transport in nanofluidic devices, discovering a concentration-dependent switch between capacitive and inductive hysteresis. This breakthrough enables programmable plasticity and new designs for neuromorphic computing circuits.

Keywords:
artificial synapsenanofluidic capacitornanofluidic iontronicsnanofluidic memristorneuromorphic device

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Area of Science:

  • Nanofluidics
  • Ion Transport Phenomena
  • Neuromorphic Computing

Background:

  • Nanofluidic devices mimic electronic functions using unique ion transport behaviors like non-linear transport and selectivity.
  • Understanding the link between ion transport and nanofluidic hysteresis transitions is crucial for system development.

Purpose of the Study:

  • To investigate the concentration-dependent transition between capacitive and inductive hysteresis in nanofluidic systems.
  • To establish a universal mechanism governing ion transport modulation in nanochannels.
  • To demonstrate programmable plasticity and implement circuit functionalities using nanofluidic devices.

Main Methods:

  • Fabrication of gold-nanoparticle-stacked nanochannels.
  • Quantitative analysis of ion transport behavior and hysteresis.
  • Modulation of ionic species to achieve plasticity.
  • Implementation of a high-pass filter (HPF) circuit using nanofluidic devices.

Main Results:

  • Observed a concentration-dependent transition between capacitive and inductive hysteresis.
  • Identified interionic distance relative to Bjerrum length as the governing factor for this transition.
  • Achieved unidirectional plasticity (facilitation and depression) by changing ionic species.
  • Successfully implemented a tunable high-pass filter circuit.

Conclusions:

  • Established a universal mechanism for ion transport modulation in nanofluidic devices.
  • Demonstrated programmable plasticity without device reconfiguration.
  • Paved the way for multifunctional nanofluidic devices and aqueous-phase neuromorphic computing circuits.