MRS Meetings and Events

 

EL19.05.01 2023 MRS Spring Meeting

Stable Resistive Switching of Highly Polycrystalline Two-dimensional Molybdenum Ditelluride based Memristor Array

When and Where

Apr 12, 2023
10:30am - 10:45am

Moscone West, Level 3, Room 3020

Presenter

Co-Author(s)

Jihoon Yang1,Soon-Yong Kwon1,Zonghoon Lee1,2,Donghyeok Lim1,Hongsik Jeong1,Aram Yoon1,2,Donghyun Lee1,Iljohn Jung1

Ulsan National Institute of Science and Technology1,Institute for Basic Science2

Abstract

Jihoon Yang1,Soon-Yong Kwon1,Zonghoon Lee1,2,Donghyeok Lim1,Hongsik Jeong1,Aram Yoon1,2,Donghyun Lee1,Iljohn Jung1

Ulsan National Institute of Science and Technology1,Institute for Basic Science2
Two-dimensional (2D) materials have generated attention for neuromorphic computing applications, and are promising for use in low-power synaptic devices at the atomic scale. However, 2D material-based memristors are disadvantaged by the large stochastic forming process, which results in switching variability. In this study, we present a 2-inch wafer scale memristor array that contains nanometer-sized grains of highly polycrystalline 2H-MoTe<sub>2</sub> as an active medium and exhibits reliable resistive switching. The polycrystalline 2H-MoTe<sub>2</sub> films were synthesized on a 2-inch SiO<sub>2</sub>/Si wafer by tailoring the Te flux through a Te vapor-confined method using a eutectic alloy. The synthesized films contain uniformly sized nanograins (~60 nm) and exhibit ultrahigh-density (1.37<b>×</b>10<sup>11 </sup>cm<sup>-2</sup>) grain boundaries (GBs). These GBs provide confined defective paths to enable conduction, facilitating reliable resistive switching. Compared to single-crystalline 2H-MoTe<sub>2</sub>-based memristors, the polycrystalline 2H-MoTe<sub>2</sub>-based memristor (PMM) arrays show improved resistive switching uniformity and stable multi-level resistance states, along with high device yields (&gt;83.7%), small device-to-device variations (&lt;13.8%), and long retention times (&gt;10<sup>5 </sup>s). Finally, this PMM shows linear analog synaptic plasticity under repeated pulses more than 2,500 and exhibits a learning accuracy of 96.05% for MNIST handwritten digit classification. The introduction of nanograins in the PMM represents a novel route to accelerate the use of 2D memristors in practical neuromorphic computing applications.

Keywords

grain boundaries

Symposium Organizers

Paul Berger, The Ohio State University
Supratik Guha, The University of Chicago
Francesca Iacopi, University of Technology Sydney
Pei-Wen Li, National Yang Ming Chiao Tung University

Symposium Support

Gold
IEEE Electron Devices Society

Publishing Alliance

MRS publishes with Springer Nature