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Review Article

Bioinspired nanofluidic iontronics for brain-like computing

Lejian Yu1,§Xipeng Li1,6,§Chunyi Luo1Zhenkang Lei2Yilan Wang1Yaqi Hou5( )Miao Wang4( )Xu Hou1,2,3,7,8 ( )
State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
Institute of Artificial Intelligence, Xiamen University, Xiamen 361005, China
Department of Physics, Research Institute for Biomimetics and Soft Matter, Fujian Provincial Key Laboratory for Soft Functional Materials Research, Jiujiang Research Institute, College of Physical Science and Technology, Xiamen University, Xiamen 361005, China
The Higher Educational Key Laboratory for Biomedical Engineering of Fujian Province, Department of Biomaterials, Research Center of Biomedical Engineering of Xiamen, College of Materials, Xiamen University, Xiamen 361005, China
The Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiamen 361005, China
Binzhou Institute of Technology, Binzhou 256600, China
Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen 361102, China
Engineering Research Center of Electrochemical Technologies of Ministry of Education, Xiamen University, Xiamen 361005, China

§ Lejian Yu and Xipeng Li contributed equally to this work.

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Abstract

The human brain performs computations via a highly interconnected network of neurons. Taking inspiration from the information delivery and processing mechanism of the human brain in central nervous systems, bioinspired nanofluidic iontronics has been proposed and gradually engineered to overcome the limitations of the conventional electron-based von Neumann architecture, which shows the promising potential to enable efficient brain-like computing. Anomalous and tunable nanofluidic ion transport behaviors and spatial confinement show promising controllability of charge carriers, and a wide range of structural and chemical modification paves new ways for realizing brain-like functions. Herein, a comprehensive framework of mechanisms and design strategy is summarized to enable the rational design of nanofluidic systems and facilitate the further development of bioinspired nanofluidic iontronics. This review provides recent advances and prospects of the bioinspired nanofluidic iontronics, including ion-based brain computing, comprehension of intrinsic mechanisms, design of artificial nanochannels, and the latest artificial neuromorphic functions devices. Furthermore, the challenges and opportunities of bioinspired nanofluidic iontronics in the pioneering and interdisciplinary research fields are proposed, including brain–computer interfaces and artificial neurons.

Graphical Abstract

Bioinspired nanofluidic iontronics is an emerging research field that draws inspiration from the information processing of human brain in central nervous system. In this review, we offer a comprehensive framework of background, theoretical basis, design, and prospects to promote the development of ion-based brain-like computing.

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Nano Research
Pages 503-514

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Cite this article:
Yu L, Li X, Luo C, et al. Bioinspired nanofluidic iontronics for brain-like computing. Nano Research, 2024, 17(2): 503-514. https://doi.org/10.1007/s12274-023-5900-y
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Received: 11 May 2023
Revised: 05 June 2023
Accepted: 06 June 2023
Published: 14 July 2023
© Tsinghua University Press 2023