Bioinspired nanofluidic iontronics for brain-like computing

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...

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Bibliographic Details
Published in:Nano research 2024-02, Vol.17 (2), p.503-514
Main Authors: Yu, Lejian, Li, Xipeng, Luo, Chunyi, Lei, Zhenkang, Wang, Yilan, Hou, Yaqi, Wang, Miao, Hou, Xu
Format: Article
Language:English
Subjects:
Atomic/Molecular Structure and Spectra
Biomedicine
Biomimetics
Biotechnology
Brain
Chemical modification
Chemistry and Materials Science
Condensed Matter Physics
Current carriers
Design
Fluidics
Human performance
Human-computer interface
Information processing
Interdisciplinary research
Interdisciplinary studies
Ion transport
Materials Science
Nanochannels
Nanofluids
Nanotechnology
Neural networks
Neurons
Review Article
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Summary: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.
ISSN:1998-0124
1998-0000
DOI:10.1007/s12274-023-5900-y