首页|Artificial synapses based on organic electrochemical transistors with self-healing dielectric layers

Artificial synapses based on organic electrochemical transistors with self-healing dielectric layers

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Organic electrochemical transistors(OECTs)have emerged as one type of promising building block for neuromorphic systems owing to their capability of mimicking the morphology and functions of biological neurons and synapses.Currently,numerous kinds of OECTs have been developed,while self-healing per-formance has been neglected in most reported OECTs.In this work,the OECTs using self-healing polymer electrolytes as dielectric layers are proposed.Several important synaptic behaviors are simulated in the OECTs by doping the channel layers with ions from the electrolytes.Benefitting from the dynamic hydro-gen bonds in the self-healing polymer electrolytes,the OECTs can successfully maintain their electrical performance and the ability of emulating synaptic behaviors after self-healing compared with the initial state.More significantly,the sublinear spatial summation function is demonstrated in the OECTs and their potential in flexible electronics is also validated.These results suggest that our devices are expected to be a vital component in the development of future wearable and bioimplantable neuromorphic systems.

Organic electrochemical transistorsArtificial synapsesSynaptic behaviorsSelf-healingFlexibility

Yushan Gao、Junyao Zhang、Dapeng Liu、Tongrui Sun、Jun Wang、Li Li、Shilei Dai、Jianhua Zhang、Zhenglong Yang、Jia Huang

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School of Materials Science and Engineering,Tongji University,Shanghai 201804,China

Key Laboratory of Advanced Display and System Application,Ministry of Education,Shanghai University,Shanghai 200072,China

National Key Laboratory of Autonomous Intelligent Unmanned Systems,Tongji University,Shanghai 201804,China

国家重点研发计划国家自然科学基金国家自然科学基金Science and Technology Foundation of ShanghaiShanghai Municipal Science and Technology Major ProjectInnovation Program of Shanghai Municipal Education Commission

2021YFA1101303620741116208810120JC14156002021SHZDZX01002021-01-07-00-07-E00096

2024

中国化学快报(英文版)
中国化学会

中国化学快报(英文版)

CSTPCD
影响因子:0.771
ISSN:1001-8417
年,卷(期):2024.35(3)
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