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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
Summary
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.
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.

