From biomaterial-based data storage to bio-inspired artificial synapse

Lv, Z., Zhou, Y., Han, S.-T. and Roy, V.A.L. (2018) From biomaterial-based data storage to bio-inspired artificial synapse. Materials Today, 21(5), pp. 537-552. (doi: 10.1016/j.mattod.2017.12.001)

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The implementation of biocompatible and biodegradable information storage would be a significant step toward next-generation green electronics. On the other hand, benefiting from high density, multifunction, low power consumption and multilevel data storage, artificial synapses exhibit attractive future for built-in nonvolatile memories and reconstructed logic operations. Here, we provide a comprehensive and critical review on the developments of bio-memories with a view to inspire more intriguing ideas on this area that may finally open up a new chapter in next-generation consumer electronics. We will discuss that biomolecule-based memory employed evolutionary natural biomaterials as data storage node and artificial synapse emulated biological synapse function, which is expected to conquer the bottleneck of the traditional von Neumann architecture. Finally, challenges and opportunities in the aforementioned bio-memory area are presented.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Vellaisamy, Professor Roy
Authors: Lv, Z., Zhou, Y., Han, S.-T., and Roy, V.A.L.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Journal Name:Materials Today
ISSN (Online):1873-4103
Published Online:01 February 2018
Copyright Holders:Copyright © 2017 Elsevier Ltd.
First Published:First published in Materials Today 21(5):537-552
Publisher Policy:Reproduced under a Creative Commons Licence
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