Ionoelastomer Synapses With Configurable Synaptic Plasticity

An organic heterostructure, composed of an ionoelastomer that comprises polycationic chains and mobile anions, and a semiconducting polymer, forms a new class of artificial synapses. These ionoelastomer synapses update their synaptic weights by modifying device conductance through the spatial redistribution of anions in response to electrical stimuli. The memory effect of these synapses is highly dependent on the specific anion species present, providing a unique means to modulate synaptic plasticity simply through anion selection. The continuously programmable and nonvolatile states of the selected ionoelastomer synapse are harnessed to emulate a soft neural network and perform the handwritten digit and fashion image recognition tasks, which achieve high recognition accuracies comparable to ideal numeric model but only using 16 discrete device states.

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Publication Details

Journal
Advanced Materials
Published
2025-08-21
DOI
https://doi.org/10.1002/adma.202505312
Citations
3
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
2.19

Funders

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article

Ionoelastomer Synapses With Configurable Synaptic Plasticity

Xiuyang Zou, Zhong‐Da Zhang, Ya‐Nan Zhong, Feng Yan et al.
3 citations
Advanced Materials
Advanced Memory and Neural Computing
2.19
article

Ionoelastomer Synapses With Configurable Synaptic Plasticity

Xiuyang Zou, Zhong‐Da Zhang, Ya‐Nan Zhong, Feng Yan, Qingning Li, Sui‐Dong Wang, Sijie Zheng, Xiaowei Wang, Ziyang Liu
article en
3 citations

Abstract

An organic heterostructure, composed of an ionoelastomer that comprises polycationic chains and mobile anions, and a semiconducting polymer, forms a new class of artificial synapses. These ionoelastomer synapses update their synaptic weights by modifying device conductance through the spatial redistribution of anions in response to electrical stimuli. The memory effect of these synapses is highly dependent on the specific anion species present, providing a unique means to modulate synaptic plasticity simply through anion selection. The continuously programmable and nonvolatile states of the selected ionoelastomer synapse are harnessed to emulate a soft neural network and perform the handwritten digit and fashion image recognition tasks, which achieve high recognition accuracies comparable to ideal numeric model but only using 16 discrete device states.

Advanced MaterialsVol. 37(44)
Macau University of Science and Technology (MO), Donghua University (CN), Soochow University (CN), Huaiyin Normal University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, National Key Research and Development Program of China
Openalex Percentile: Top 11%
Advanced Memory and Neural Computing
2.19
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