December 1 - 6, 2024
Boston, Massachusetts

Event Supporters

2024 MRS Fall Meeting & Exhibit
EL03.07.18

Mimicking Heterosynaptic Plasticity Using 2D Oxide Based Memristors

When and Where

Dec 3, 2024
8:00pm - 10:00pm
Hynes, Level 1, Hall A

Presenter(s)

Co-Author(s)

Min Sup Choi3,Tien Dat Ngo1,Je-Jun Lee2,Won Jong Yoo1

Sungkyunkwan University Advanced Institute of NanoTechnology1,Sungkyunkwan University2,Chungnam National University3

Abstract

Min Sup Choi3,Tien Dat Ngo1,Je-Jun Lee2,Won Jong Yoo1

Sungkyunkwan University Advanced Institute of NanoTechnology1,Sungkyunkwan University2,Chungnam National University3
In this study, we achieve precise thickness controllable oxidation using UV-ozone treatment with different chuck temperatures. With precisely controlled WO<sub>x</sub> thickness by UV-ozone treatment, monolithic few-layer WO<sub>x</sub>/WSe<sub>2</sub> memristors are fabricated. The postsynaptic responses of the topmost single-layer oxidized WSe<sub>2</sub> and fully oxidized WSe<sub>2</sub> memristors exhibit opposite behaviors, which can be applied to mimic the heterosynaptic plasticity. We explore the feasibility of using each oxidation-layer-controlled memristor as a hardware accelerator by showing pattern recognition rates of 84% and 71% for the 1L and 9L WO<sub>x</sub>-based devices, respectively, assessed through CIFAR-10 pattern recognition task. We also examine the applicability of a synaptic cell composed of devices with oppositely switched characteristics. Consequently, the synaptic weight, defined as the difference in conductance between two synaptic devices, can be either increased (potentiated) or decreased (depressed) by simultaneously updating both devices with the same voltage signal. This weight update concept achieves a moderate recognition rate of 85.94% when using an MNIST pattern-based recognition task.

Keywords

electrical properties

Symposium Organizers

Deji Akinwande, The University of Texas at Austin
Cinzia Casiraghi, University of Manchester
Carlo Grazianetti, CNR-IMM
Li Tao, Southeast University

Session Chairs

Carlo Grazianetti
Li Tao

In this Session