Flexible Tunable-Plasticity Synaptic Transistors for Mimicking Dynamic Cognition and Reservoir Computing (Adv. Mater. 24/2025)

IF 26.8 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Sixin Zhang, Jiahao Zhu, Rui Qiu, Dexing Liu, Qinqi Ren, Min Zhang
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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.

Abstract Image

Abstract Image

柔性可调可塑性突触晶体管模拟动态认知和水库计算(Adv. Mater. 24/2025)
柔性可调塑性突触晶体管采用IGZO通道和聚酰亚胺/Al2O3混合介质,研制了一种可塑性可调的柔性突触晶体管。通过刺激幅度实现了短期到长期可塑性的可逆切换,实现了94.1%的神经网络精度和4位储层计算。它为人类可穿戴智能和机器人电子皮肤技术的自适应神经形态系统铺平了道路。更多细节可以在张敏及其同事的2418418号文章中找到。
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来源期刊
Advanced Materials
Advanced Materials 工程技术-材料科学:综合
CiteScore
43.00
自引率
4.10%
发文量
2182
审稿时长
2 months
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.
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