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Effect of Bending on the Electrical Characteristics of Flexible Organic Single Crystal-based Field-effect Transistors

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Published on: November 7, 2016

Bioinspired Ion Doping for Threshold Control in Green Chitosan-Based Flexible Transistor Neuromorphic Devices.

Tianxu Huang¹, Tingting Mei¹, Shimul Kanti Nath²

¹School of Materials Science and Engineering, University of New South Wales (UNSW), Sydney, New South Wales 2052, Australia.

ACS Applied Materials & Interfaces

|January 27, 2026

Summary

This study introduces sodium ion doping in electrolyte-gated transistors (EGTs) for precise threshold control in flexible neuromorphic electronics. This doping strategy enhances device performance and reduces energy consumption for advanced bioelectronic applications.

Keywords:

artificial synapse chitosan electrolyte electrolyte-gated transistor neuromorphic computing threshold voltage tuning

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Area of Science:

Materials Science
Electronics Engineering
Neuroscience

Background:

Electrolyte-gated transistors (EGTs) offer low-voltage operation for flexible neuromorphic electronics.
Precise threshold voltage control in EGTs is challenging due to electric double layer (EDL) dynamics.

Purpose of the Study:

To develop a facile doping strategy for modulating the EDL in chitosan-based EGTs.
To achieve continuous threshold voltage tuning and enhance device performance for neuromorphic applications.

Main Methods:

Incorporation of sodium (Na+) cations via NaCl doping into chitosan-based EGTs.
Modulation of the EDL by varying NaCl doping concentrations.
Characterization of device performance, stability, and synaptic emulation capabilities.

Main Results:

Continuous threshold voltage tuning achieved by controlling NaCl doping concentrations.
A transition from depletion to enhancement mode observed at 0.5 wt% NaCl doping with significant reduction in drain current.
Energy consumption for synaptic functions reduced by approximately 200 times.
High on/off ratios (>10^3), operational stability (>100 days), and mechanical durability (>1000 bending cycles).

Conclusions:

The Na+-doped EGTs provide a scalable, biocompatible, and energy-efficient platform for threshold-controllable green bioelectronics.
The developed EGTs successfully emulate synaptic behaviors, enabling high-accuracy neuromorphic computing for image recognition (>95%).
This work paves the way for next-generation flexible neuromorphic devices with enhanced control and efficiency.