Jump to main content
Jump to site search


Designing Carbon Conductive Filament in Memristor Device for Memory and Electronic Synapse Applications

Abstract

Electronic synaptic memristor systems have the potential to bring revolutionary change to traditional computer structures and to lay a solid foundation for the development of computer architectures simulating artificial brains. Among these, Ag or Cu filament-based memristor devices have increasingly attracted attention due to their excellent functional properties in plasticity and as memristors. However, the randomly dynamic process of nucleation during device fabrication results in nonuniform switching parameters. Here, we demonstrate the viability of a high-performance neuromorphic memristor device based on carbon conductive filaments mechanism, with the advantages of high switching stability and low power consumption. The memristor is also able to emulate faithfully different functions of artificial synapses, including paired-pulse facilitation (PPF) and spike-timing-dependent plasticity (STDP). According to detailed electron energy loss spectroscopy (EELS) and transmission electron microscopy (TEM) characterization, it is confirmed that carbon conductive filaments are formed in AlN films comprising the middle layer of the memristor. First principles calculations provide an insight into the energetics of defects involved in the diffusion of C into the AlN film. This work probes the viability of a new physical conduction mechanism for use in the neuromorphic memristor performance, with evidence of improved device performance.

Back to tab navigation

Supplementary files

Publication details

The article was received on 22 Oct 2019, accepted on 28 Nov 2019 and first published on 29 Nov 2019


Article type: Communication
DOI: 10.1039/C9MH01684H
Mater. Horiz., 2019, Accepted Manuscript

  •   Request permissions

    Designing Carbon Conductive Filament in Memristor Device for Memory and Electronic Synapse Applications

    Z. Zhou, J. Zhao, A. P. Chen, Y. Pei, Z. Xiao, G. Wang, J. CHEN, G. Fu and X. Yan, Mater. Horiz., 2019, Accepted Manuscript , DOI: 10.1039/C9MH01684H

Search articles by author

Spotlight

Advertisements