journal article·2022-02

Cellulose Nanocrystal Based Bio‐Memristor as a Green Artificial Synaptic Device for Neuromorphic Computing Applications

Tassawar Hussain, Haider Abbas, Chulmin Youn, Hojin Lee, Turgun Boynazarov, Boncheol Ku, Yu‐Rim Jeon, Hoonhee Han, Jong Hyeon Lee, Changhwan Choi, Taekjib Choi

Advanced Materials Technologies· Volume 7· Issue 2
Publisher page

Abstract

Abstract Nanocomposites based on biomaterials are promising candidates for emerging green‐ electronics benefiting from environment‐friendly, renewable, biocompatible, and biodegradable resources for sustainable research and development. Especially, the application of biocomposites‐based memristor for simulating artificial synapses called bio‐memristor has further facilitated the progress of ecologically benign bioelectronics. In this study, the authors present that the environment‐friendly nanocomposites films, consisting of Ag nanoparticles and cellulose nanocrystal (CNC)‐based bio‐memristor with excellent bipolar resistive switching behavior can perform the artificial bio‐synaptic emulation with continuous resistance modulation for memory storage and neuromorphic computing applications. The bio‐memristor exhibits a large resistive switching (ION/OFF as high as ≈104 and ultralow SET/RESET voltage of ≈0.2 V) and reliable switching characteristics through the electrochemical formation/rupture of Ag metallic filaments within the nanocomposite layer. The device presents coexistence of digital and analog switching properties favorable for both nonvolatile digital memory and neuromorphic computing applications. By applying appropriate pulse stimulations to the device, the authors demonstrate biological synaptic functions, including long‐term potentiation/depression, spike‐rate‐dependent plasticity, excitatory post‐synaptic current, paired‐pulse facilitation, and paired‐pulse depression. Thus, this CNC‐based bio‐memristor as an effective artificial synaptic device is beneficial towards the realization of green‐electronics and bio‐inspired neuromorphic systems.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Photoreceptor and optogenetics research · Transition Metal Oxide Nanomaterials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Hybrid Materials Research Center and Department of Nanotechnology and Advanced Materials Engineering Sejong University Seoul 143‐747 South Korea

Division of Materials Science and Engineering Hanyang University Seoul 04763 South Korea

Department of Chemistry Catholic University of Korea Bucheon Gyeonggi 420‐743 South Korea

Funding

Korea Semiconductor Research Consortium · National Research Foundation of Korea

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