Cellulose Nanocrystal Based Bio‐Memristor as a Green Artificial Synaptic Device for Neuromorphic Computing Applications. Issue 2 (15th October 2021)

• Record Type: Journal Article
• Authors: Hussain, Tassawar; Abbas, Haider; Youn, Chulmin; Lee, Hojin; Boynazarov, Turgun; Ku, Boncheol; Jeon, Yu‐Rim; Han, Hoonhee; Lee, Jong Hyeon; Choi, Changhwan; Choi, Taekjib
• Is Part Of: Advanced materials technologies. Volume 7:Issue 2(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-10-15
• Subjects: cellulose nanocrystals -- nanocomposites -- bio‐memristor -- artificial synaptic devices -- green‐electronics -- neuromorphic computing; Materials science -- Periodicals; Technological innovations -- Periodicals; Materials science; Technological innovations; Periodicals; 620.1105
• DOI: 10.1002/admt.202100744
• Languages: English
• ISSNs: 2365-709X

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 ( I ON/OFF as high as ≈10 4 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. Abstract : A cellulose nanocrystal(CNC)‐based bio‐memristor is designed with the coexistence of digital and analog switching properties for both nonvolatile digital memory and neuromorphic computing applications. The formation/rupture of metallic conductive filaments within the silver nanoparticles‐doped CNC switching layer is controlled to modulate the conductance of the device for emulation of biological synaptic functions to realize bio‐inspired neuromorphic systems.