{"title":"Flexible Tunable-Plasticity Synaptic Transistors for Mimicking Dynamic Cognition and Reservoir Computing (Adv. Mater. 24/2025)","authors":"Sixin Zhang, Jiahao Zhu, Rui Qiu, Dexing Liu, Qinqi Ren, Min Zhang","doi":"10.1002/adma.202570167","DOIUrl":null,"url":null,"abstract":"<p><b>Flexible Tunable-Plasticity Synaptic Transistors</b></p><p>A flexible synaptic transistor with tunable plasticity is developed using an IGZO channel and hybrid polyimide/Al<sub>2</sub>O<sub>3</sub> dielectric. It achieves reversible switching from short-term to long-term plasticity via stimulus amplitude, enabling 94.1% neural-network accuracy and 4-bit reservoir computing. It paves the way for adaptive neuromorphic systems toward human wearable intelligence and robotic e-skin technologies. More details can be found in article number 2418418 by Min Zhang and co-workers.\n\n <figure>\n <div><picture>\n <source></source></picture><p></p>\n </div>\n </figure></p>","PeriodicalId":114,"journal":{"name":"Advanced Materials","volume":"37 24","pages":""},"PeriodicalIF":26.8000,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adma.202570167","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Materials","FirstCategoryId":"88","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/adma.202570167","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Flexible Tunable-Plasticity Synaptic Transistors
A flexible synaptic transistor with tunable plasticity is developed using an IGZO channel and hybrid polyimide/Al2O3 dielectric. It achieves reversible switching from short-term to long-term plasticity via stimulus amplitude, enabling 94.1% neural-network accuracy and 4-bit reservoir computing. It paves the way for adaptive neuromorphic systems toward human wearable intelligence and robotic e-skin technologies. More details can be found in article number 2418418 by Min Zhang and co-workers.
期刊介绍:
Advanced Materials, one of the world's most prestigious journals and the foundation of the Advanced portfolio, is the home of choice for best-in-class materials science for more than 30 years. Following this fast-growing and interdisciplinary field, we are considering and publishing the most important discoveries on any and all materials from materials scientists, chemists, physicists, engineers as well as health and life scientists and bringing you the latest results and trends in modern materials-related research every week.