Synaptic Transistors Using Backbone-Engineered D-A Conjugated Polymers for Real-Time Wearable Motion Cognition
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wu, Ning | - |
dc.contributor.author | Yu, Qianbo | - |
dc.contributor.author | Liu, Yi | - |
dc.contributor.author | Xu, Zhipeng | - |
dc.contributor.author | Li, Yue | - |
dc.contributor.author | Lee, Hwa Sung | - |
dc.contributor.author | Xu, Wentao | - |
dc.date.accessioned | 2025-08-21T01:00:17Z | - |
dc.date.available | 2025-08-21T01:00:17Z | - |
dc.date.issued | 2025-07 | - |
dc.identifier.issn | 1944-8244 | - |
dc.identifier.issn | 1944-8252 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/126252 | - |
dc.description.abstract | Organic neuromorphic electronics using conjugated polymers as an active layer attract a lot of attention, for that their synaptic plasticity can be easily tuned by tailoring of the molecular chain structures. Herein, we synthesize a series of conjugated polymers based on a backbone engineering strategy, using thiophene (T), selenophene (Se), bithiophene (BT) and terthiophene (TT) as donors and diketopyrrolopyrrole (DPP) as acceptor, i.e., PTDPP-T, PTDPP-Se, PTDPP-BT and PTDPP-TT, and used these conjugated polymers to fabricate thin-film synaptic transistors. We investigated the correlation between chemical structures, aggregation states, film morphology, mobility and synaptic plasticity. When BT was used as the donor, the conjugated polymer exhibited the strongest preaggregation, formed a nanowire-structured crystal morphology, and had the appropriate monomer conjugation length, resulting in the highest field-effect mobility similar to 1.33 cm2 V-1 s-1. PTDPP-BT synaptic transistor showed the most favorable synaptic plasticity, in terms of response amplitude, plasticity regulation, and high-pass filtering, and applied to image processing and associated learning. The device was also used for wearable applications and successfully demonstrated for real-time wearable motion cognition, which provides an approach for the development of future neuromorphic devices. | - |
dc.format.extent | 11 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | AMER CHEMICAL SOC | - |
dc.title | Synaptic Transistors Using Backbone-Engineered D-A Conjugated Polymers for Real-Time Wearable Motion Cognition | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1021/acsami.5c03513 | - |
dc.identifier.scopusid | 2-s2.0-105012781367 | - |
dc.identifier.wosid | 001533150100001 | - |
dc.identifier.bibliographicCitation | ACS APPLIED MATERIALS & INTERFACES, v.17, no.30, pp 43316 - 43326 | - |
dc.citation.title | ACS APPLIED MATERIALS & INTERFACES | - |
dc.citation.volume | 17 | - |
dc.citation.number | 30 | - |
dc.citation.startPage | 43316 | - |
dc.citation.endPage | 43326 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalResearchArea | Materials Science | - |
dc.relation.journalWebOfScienceCategory | Nanoscience & Nanotechnology | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.subject.keywordAuthor | synaptic transistors | - |
dc.subject.keywordAuthor | conjugated polymers | - |
dc.subject.keywordAuthor | backbone engineering | - |
dc.subject.keywordAuthor | mobility | - |
dc.subject.keywordAuthor | real-time motioncognition | - |
dc.identifier.url | https://pubs.acs.org/doi/10.1021/acsami.5c03513 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.