Neuromorphic iontronic devices based on soft ionic conductors
Year: 2025
Type: review
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.
Source: Chemical Society Reviews
DOI: 10.1039/d5cs00580a
Authors: Li Wang, Yide Jiao, Hongjie Zhang, Yaqing Liu, Yujia Zhang, Peiyi Wu, Kai Xiao
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Funders: Guangdong Innovative and Entrepreneurial Research Team Program, National Natural Science Foundation of China, Nanjing Tech University, Key Technologies Research and Development Program, Shenzhen Science and Technology Innovation Program, Basic and Applied Basic Research Foundation of Guangdong Province
OpenAlex ID: W4417076084
