Tunable synaptic plasticity in MoS<sub>2</sub> neuromorphic transistors using Li<sup>+</sup> incorporated chitosan electrolytes

MoS 2 transistors with chitosan electrolytes mimic biological synapses for neuromorphic computing. Li + -incorporation effectively enhances synaptic plasticity by boosting ionic conductance in chitosan.

Authors

Institutions

Publication Details

Journal
Journal of Materials Chemistry C
Published
2025-01-01
DOI
https://doi.org/10.1039/d5tc00877h
Citations
4
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
2.92
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Tunable synaptic plasticity in MoS2 neuromorphic transistors using Li+ incorporated chitosan electrolytes

Fangfei Ming, Chaoqi Dai, Runze Zhan, Lemei Zhu et al.
4 citations
Journal of Materials Chemistry C
Advanced Memory and Neural Computing
2.92
article

Tunable synaptic plasticity in MoS2 neuromorphic transistors using Li+ incorporated chitosan electrolytes

Fangfei Ming, Chaoqi Dai, Runze Zhan, Lemei Zhu, Airong Liu, Shaozhi Deng, Sikai Chen
article en
4 citations

Abstract

MoS 2 transistors with chitosan electrolytes mimic biological synapses for neuromorphic computing. Li + -incorporation effectively enhances synaptic plasticity by boosting ionic conductance in chitosan.

Journal of Materials Chemistry CVol. 13(18)
Sun Yat-sen University (CN)
Openalex Percentile: Top 10%
Advanced Memory and Neural Computing
2.92
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.