Memristors with Biomaterials for Biorealistic Neuromorphic Applications

Electronic devices with biomaterials have paved a way toward “green electronics” to create a sustainable future. Memristors are drawing growing attention with integrated sensing, memory, and computing for future artificial intelligence applications. Biomaterial is an emerging class of memristive mat...

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Bibliographic Details
Main Authors: Jiaqi Xu, Xiaoning Zhao, Xiaoli Zhao, Zhongqiang Wang, Qingxin Tang, Haiyang Xu, Yichun Liu
Format: Article
Language:English
Published: Wiley-VCH 2022-10-01
Series:Small Science
Subjects:
Online Access:https://doi.org/10.1002/smsc.202200028
Description
Summary:Electronic devices with biomaterials have paved a way toward “green electronics” to create a sustainable future. Memristors are drawing growing attention with integrated sensing, memory, and computing for future artificial intelligence applications. Biomaterial is an emerging class of memristive materials (the device is called as biomemristor) for transient and/or biodegradable purpose. Importantly, several unique features such as faithful synaptic behaviors, bimodal switching, and biovoltage operations are observed in biomemristors. Moreover, the biomemristors are suitable for human‐related applications due to the inherent biocompatibility of biomaterials and flexibility of the device with ultrathin thickness. These features make the biomemristors promising for biorealistic neuromorphic applications. Herein, the state of the art of biomemristors are comprehensively summarized and systematically discussed with particular attention on their unique biorealistic features. Challenges and prospects toward the further development of biomemristors are also provided and discussed.
ISSN:2688-4046