MRS Meetings and Events

 

EQ10.07.02 2022 MRS Fall Meeting

Memrisitive Behavior of Li Intercalated MoTe2 for Neuromorphic Computing

When and Where

Nov 29, 2022
8:00pm - 10:00pm

Hynes, Level 1, Hall A

Presenter

Co-Author(s)

Rifat Hasan Rupom1,Eunho Lee2,Pashupati Adhikari1,Moonyoung Jung2,Dongseok Suh2,Wonbong Choi1

University of North Texas1,Sungkyunkwan University2

Abstract

Rifat Hasan Rupom1,Eunho Lee2,Pashupati Adhikari1,Moonyoung Jung2,Dongseok Suh2,Wonbong Choi1

University of North Texas1,Sungkyunkwan University2
Recently, memristor has emerged as an electronic neuromorphic device with an ability to control multiple resistance states by memorizing the history of prior electrical input and mimicking the synapse for neuromorphic computing. Molybdenum ditelluride (MoTe<sub>2</sub>) has attracted considerable interest among 2D transition metal dichalcogenides (TMDs) materials, because of its small band gap, tunable 1T′/2H phases, and favorable polycrystalline nature for ion migration. Herein, for the first time, we report lithium (Li) intercalated MoTe<sub>2</sub> neuromorphic device fabricated by a simple sputtering process exhibiting enhanced memristive behavior with varying Li ion concentration at different bias voltages<b>. </b>It is observed that MoTe<sub>2</sub> film effectively enhances the <i>I<sub>on</sub>/I<sub>off</sub></i> and hysteresis current, which is attributed to high ion transport through the grain boundaries in polycrystalline MoTe<sub>2</sub>. After ion-intercalation, <i>I<sub>on</sub>/I<sub>off</sub></i> ratio was enhanced from 5 to &gt;10<sup>3</sup> at lower sweep voltage with high retention and linearity conductance modulation for pulsative voltage. This work presents insights in making stable and large-scale MoTe<sub>2</sub> memristive device based on sputtered MoTe<sub>2 </sub>and ion intercalation method. In this presentation, we will discuss the device performance and its mechanistic investigation.

Keywords

2D materials

Symposium Organizers

Wei Zhang, Xi'an Jiaotong University
Valeria Bragaglia, IBM Research Europe - Zurich
Juejun Hu, Massachusetts Institute of Technology
Andriy Lotnyk, Leibniz Institute of Surface Engineering

Publishing Alliance

MRS publishes with Springer Nature