Low‐Voltage Flexible Copper Iodide Synaptic Transistors for Neuromorphic Computing

A flexible copper iodide (CuI) thin‐film transistor integrated with a chitosan gate dielectric is demonstrated in this article, which is fabricated on a polyethylene terephthalate (PET) substrate via a low‐temperature solution process. The device operation is enabled by the electric double layer effect induced by proton migration in chitosan, achieving low‐voltage driving at 2 V. Additionally, the device is tested under various mechanical bending conditions, demonstrating its flexibility and mechanical reliability. A transition from short‐term memory to long‐term memory is realized by modulating the pulse amplitude. Furthermore, the synaptic plasticity is shown to be tunable by pulse parameters (duration, frequency, number), which is quantitatively correlated with the proton diffusion kinetics in chitosan. These behaviors, resembling biological spike‐timing‐dependent plasticity, are systematically analyzed to establish a framework for neuromorphic computing. The results highlight the potential of the CuI/chitosan platform for flexible neuromorphic electronics, offering insights into adaptive learning rules and biohybrid systems.

Authors

Institutions

Publication Details

Journal
physica status solidi (RRL) - Rapid Research Letters
Published
2025-10-08
DOI
https://doi.org/10.1002/pssr.202500341
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Low‐Voltage Flexible Copper Iodide Synaptic Transistors for Neuromorphic Computing

Pengfei Chen, Dongsheng Tang, Wei Dou, Jiangyun Lei et al.
physica status solidi (RRL) - Rapid Research Letters
Advanced Memory and Neural Computing
article

Low‐Voltage Flexible Copper Iodide Synaptic Transistors for Neuromorphic Computing

Pengfei Chen, Dongsheng Tang, Wei Dou, Jiangyun Lei, Yuling Peng, XU Xiao-dong
article en

Abstract

A flexible copper iodide (CuI) thin‐film transistor integrated with a chitosan gate dielectric is demonstrated in this article, which is fabricated on a polyethylene terephthalate (PET) substrate via a low‐temperature solution process. The device operation is enabled by the electric double layer effect induced by proton migration in chitosan, achieving low‐voltage driving at 2 V. Additionally, the device is tested under various mechanical bending conditions, demonstrating its flexibility and mechanical reliability. A transition from short‐term memory to long‐term memory is realized by modulating the pulse amplitude. Furthermore, the synaptic plasticity is shown to be tunable by pulse parameters (duration, frequency, number), which is quantitatively correlated with the proton diffusion kinetics in chitosan. These behaviors, resembling biological spike‐timing‐dependent plasticity, are systematically analyzed to establish a framework for neuromorphic computing. The results highlight the potential of the CuI/chitosan platform for flexible neuromorphic electronics, offering insights into adaptive learning rules and biohybrid systems.

physica status solidi (RRL) - Rapid Research LettersVol. 19(12)
Ministry of Education (IR)
Openalex Percentile: Top 72%
Advanced Memory and Neural Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.