Bionic iontronics based on nano-confined structures
作者机构：Beijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing 101400China School of Nanoscience and EngineeringUniversity of Chinese Academy of SciencesBeijing 100049China School of Materials Science and EngineeringGeorgia Institute of TechnologyAtlantaGA 30332USA
出 版 物：《Nano Research》 (纳米研究（英文版）)
年 卷 期：2023年第16卷第9期
页 面：11718-11730页
核心收录：
学科分类：07[理学] 070205[理学-凝聚态物理] 08[工学] 080501[工学-材料物理与化学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0702[理学-物理学]
基 金：the support from Beijing Institute of Nanoenergy and Nanosystems
主 题：iontronics electronics nano-confined ion transport nanofluidic asymmetry
摘 要：The Moore’s law in silicone-based electronics is reaching its limit and the energy efficiency of the most sophisticated electronics to mimic the iontronic logic circuit in single-celled organisms is still inferior to their natural *** electronics,iontronics is widely present in nature,and provides the fundamentals for many life activities through the transmission and conversion of information and energy via ***,as nanotechnology and fabrication processes continue to advance,highly efficient iontronics could be enabled by creation of asymmetry from nano-confined unipolar ion transport through various nanohierarchical structures of *** introduction of bionic design and nanostructures has made it possible for ions to demonstrate numerous anomalous behaviours and entirely new mechanisms,which are governed by complex interfacial *** this review,we discuss the origins,development,mechanism,and applications of bionic iontronics and analyze the unique benefits as well as the practicality of iontronics from a variety of ***,as an emerging field of research with innumerable challenges and opportunities for exploring the theory and applications of ions as transport carriers,promises to provide new insights in many subjects covering energy and sensing,etc.,and establishes a new paradigm in investigating the ionic-electric signal transduction interface for futuristic iontronic logic circuit and neuromorphic computing.
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