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Demonstration of synaptic and resistive switching characteristics in W/TiO2/HfO2/TaN memristor crossbar array for bioinspired neuromorphic computing

Authors :
Muhammad Ismail
Umesh Chand
Jamel Nebhen
Sungjun Kim
Chandreswar Mahata
Source :
Journal of Materials Science & Technology. 96:94-102
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Abstract

In this study, resistive random-access memory (RRAM)-based crossbar arrays with a memristor W/TiO2/HfO2/TaN structure were fabricated through atomic layer deposition (ALD) to investigate synaptic plasticity and resistive switching (RS) characteristics for bioinspired neuromorphic computing. X-ray photoelectron spectroscopy (XPS) was employed to explore oxygen vacancy concentrations in bilayer TiO2/HfO2 films. Gaussian fitting for O1s peaks confirmed that the HfO2 layer contained a larger number of oxygen vacancies than the TiO2 layer. In addition, HfO2 had lower Gibbs free energy (ΔG°=-1010.8 kJ/mol) than the TiO2 layer (ΔG°=-924.0 kJ/mol), resulting in more oxygen vacancies in the HfO2 layer. XPS results and ΔG° magnitudes confirmed that formation/disruption of oxygen-based conductive filaments took place in the TiO2 layer. The W/TiO2/HfO2/TaN memristive device exhibited excellent and repeatable RS characteristics, including superb 103 dc switching cycles, outstanding 107 pulse endurance, and high-thermal stability (104 s at 125 °C) important for digital computing systems. Furthermore, some essential biological synaptic characteristics such as potentiation-depression plasticity, paired-pulse facilitation (PPF), and spike-timing-dependent plasticity (STDP, asymmetric Hebbian and asymmetric anti-Hebbian) were successfully mimicked herein using the crossbar-array memristive device. Based on experimental results, a migration and diffusion of oxygen vacancy based physical model is proposed to describe the synaptic plasticity and RS mechanism. This study demonstrates that the proposed W/TiO2/HfO2/TaN memristor crossbar-array has a significant potential for applications in non-volatile memory (NVM) and bioinspired neuromorphic systems.

Details

ISSN :
10050302
Volume :
96
Database :
OpenAIRE
Journal :
Journal of Materials Science & Technology
Accession number :
edsair.doi...........d2dddd5a3a3b5c3dee208af1690134f5
Full Text :
https://doi.org/10.1016/j.jmst.2021.04.025