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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
  • Sejong University
  • Hanyang University
  • Korea Institute of Industrial Technology

Research output: Contribution to journalArticlepeer-review

74 Scopus citations

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.

Original languageEnglish
Article number2100744
JournalAdvanced Materials Technologies
Volume7
Issue number2
DOIs
StatePublished - Feb 2022

Bibliographical note

Publisher Copyright:
© 2021 Wiley-VCH GmbH.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • artificial synaptic devices
  • bio-memristor
  • cellulose nanocrystals
  • green-electronics
  • nanocomposites
  • neuromorphic computing

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