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离子电子学:神经形态传感与能量收集

Iontronics: Neuromorphic Sensing and Energy Harvesting.

作者信息

Ro Yun Goo, Na Sangyun, Kim Jeeyoon, Chang Yoojin, Lee Seungjae, Kwak Min Sub, Jung Seokhee, Ko Hyunhyub

机构信息

School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan Metropolitan City 44919, Republic of Korea.

出版信息

ACS Nano. 2025 Jul 15;19(27):24425-24507. doi: 10.1021/acsnano.5c04885. Epub 2025 Jul 3.

DOI:10.1021/acsnano.5c04885
PMID:40609027
Abstract

Iontronics are rapidly emerging technologies with strong potential in sensing and energy harvesting. By leveraging ion transport, electrochemical interactions, and electron-ion coupling, iontronic systems have driven advancements in intelligent sensing and sustainable energy harvesting. This review explores the efficiency and suitability of iontronics for next-generation sensing and energy harvesting applications, emphasizing their advantages over conventional electronic approaches. We provide a comprehensive summary of the latest technological developments in iontronic neuromorphic sensors and energy harvesters, particularly focusing on working mechanisms of iontronic devices driven by ion dynamics, which facilitate the development of intelligent and energy-efficient sensing and harvesting devices. Understanding these fundamental mechanisms enables the optimization of iontronic materials and device structures for enhanced functionality and broader applications. Finally, this review discusses the current challenges and future directions in advanced iontronic sensing and energy harvesting technologies, providing insights into how continued research and development can further enhance their capabilities and technological integration in practical applications.

摘要

离子电子学是迅速兴起的技术,在传感和能量收集方面具有巨大潜力。通过利用离子传输、电化学相互作用以及电子-离子耦合,离子电子系统推动了智能传感和可持续能量收集领域的进步。本综述探讨了离子电子学在下一代传感和能量收集应用中的效率和适用性,强调了它们相对于传统电子方法的优势。我们全面总结了离子电子神经形态传感器和能量收集器的最新技术发展,特别关注由离子动力学驱动的离子电子器件的工作机制,这有助于开发智能且节能的传感和收集设备。理解这些基本机制能够优化离子电子材料和器件结构,以增强功能并拓展应用范围。最后,本综述讨论了先进离子电子传感和能量收集技术当前面临的挑战以及未来发展方向,深入探讨了持续的研发如何能够进一步提升它们的性能以及在实际应用中的技术集成。

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