Neuromorphic iontronic devices based on soft ionic conductors

The human brain efficiently processes external information using ions as information carriers, inspiring the development of ionic brain-like intelligence. Central to such systems are neuromorphic iontronic devices (NIDs), including artificial axons, synapses, and neurons, which employ ions as charge carriers. Recently, NIDs based on soft ionic conductors (SICs), such as ionic hydrogels, ionogels, and ionic elastomers, have attracted growing attention due to their ionic compatibility, flexibility, biocompatibility, and facile fabrication and integration, making them promising candidates for next-generation neuromorphic technologies. Despite their potential, research remains in its infancy, with key challenges in elucidating fundamental mechanisms, establishing design principles, and realizing practical applications. To address these issues and guide future research, this review first introduces the functional roles and electrical signalling of axons, synapses, and neurons, thereby defining the performance requirements for NIDs. It then summarizes means for controlling ion transport in SICs and discusses feasible approaches for constructing SIC-based NIDs, including structural and interfacial engineering, device architectures, and dropletronic techniques. Finally, recent advances in SIC-based NIDs are reviewed, and their prospects in human-machine interaction and brain-like computing are discussed along with the remaining challenges.

Authors

Institutions

Publication Details

Journal
Chemical Society Reviews
Published
2025-12-03
DOI
https://doi.org/10.1039/d5cs00580a
Citations
4
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
2.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Neuromorphic iontronic devices based on soft ionic conductors

Kai Xiao, Yujia Zhang, Peiyi Wu, Li Wang et al.
4 citations
Chemical Society Reviews
Advanced Sensor and Energy Harvesting Materials
2.70
article

Neuromorphic iontronic devices based on soft ionic conductors

Kai Xiao, Yujia Zhang, Peiyi Wu, Li Wang, Hongjie Zhang, Yaqing Liu, Yuxin Jiao
article en
4 citations

Abstract

The human brain efficiently processes external information using ions as information carriers, inspiring the development of ionic brain-like intelligence. Central to such systems are neuromorphic iontronic devices (NIDs), including artificial axons, synapses, and neurons, which employ ions as charge carriers. Recently, NIDs based on soft ionic conductors (SICs), such as ionic hydrogels, ionogels, and ionic elastomers, have attracted growing attention due to their ionic compatibility, flexibility, biocompatibility, and facile fabrication and integration, making them promising candidates for next-generation neuromorphic technologies. Despite their potential, research remains in its infancy, with key challenges in elucidating fundamental mechanisms, establishing design principles, and realizing practical applications. To address these issues and guide future research, this review first introduces the functional roles and electrical signalling of axons, synapses, and neurons, thereby defining the performance requirements for NIDs. It then summarizes means for controlling ion transport in SICs and discusses feasible approaches for constructing SIC-based NIDs, including structural and interfacial engineering, device architectures, and dropletronic techniques. Finally, recent advances in SIC-based NIDs are reviewed, and their prospects in human-machine interaction and brain-like computing are discussed along with the remaining challenges.

Chemical Society ReviewsVol. 55(1)
Nanjing Tech University (CN), Shandong University (CN), Donghua University (CN), Southern University of Science and Technology (CN), Nanjing University of Science and Technology (CN), École Polytechnique Fédérale de Lausanne (CH)
Openalex Percentile: Top 9%
Advanced Sensor and Energy Harvesting Materials
2.70
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.