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2D MoS2 monolayers integration with metal oxide-based artificial synapses

2D MoS2 monolayers integration with metal oxide-based artificial synapses
2D MoS2 monolayers integration with metal oxide-based artificial synapses

In this study, we report on a memristive device structure wherein monolayers of two-dimensional (2D) molybdenum disulfide (MoS 2) are integrated with an ultrathin yttrium oxide (Y 2O 3) layer to simulate artificial synapses functionality. The proposed physical simulation methodology is implemented in COMSOL Multiphysics tool and is based on the minimization of free energy of the used materials at the applied input voltage. The simulated device exhibits a stable bipolar resistive switching and the switching voltages is significantly reduced by increasing the number of MoS 2 layers, which is key to conventional low-power computing and neuromorphic applications. The device is shown to perform synaptic functionalities under various applied bias conditions. The resulting synaptic weight decreases almost linearly with the increasing number of MoS 2 layers due to the increase in the device thickness. The simulation outcomes pave the way for the development of optimised metal oxide-based memristive devices through their integration with semiconducting 2D materials. Also, the 2D MoS 2 integration can enable the optoelectronic operation of this memory device.

2D-TMD materials, artificial synapses, layered integration, memristive devices, metal oxide materials
Kumar, Mohit
576799a1-d47c-4522-950e-1cd65abdda6d
Kumar, Sanjay
c014e8ce-142e-41ad-b42e-371668dede95
Rani, Shalu
df94dea0-8774-4a82-848f-8de6329200e7
Zeimpekis, Ioannis
a2c354ec-3891-497c-adac-89b3a5d96af0
Georgiadou, Dimitra G.
84977176-3678-4fb3-a3dd-2044a49c853b
Kumar, Mohit
576799a1-d47c-4522-950e-1cd65abdda6d
Kumar, Sanjay
c014e8ce-142e-41ad-b42e-371668dede95
Rani, Shalu
df94dea0-8774-4a82-848f-8de6329200e7
Zeimpekis, Ioannis
a2c354ec-3891-497c-adac-89b3a5d96af0
Georgiadou, Dimitra G.
84977176-3678-4fb3-a3dd-2044a49c853b

Kumar, Mohit, Kumar, Sanjay, Rani, Shalu, Zeimpekis, Ioannis and Georgiadou, Dimitra G. (2024) 2D MoS2 monolayers integration with metal oxide-based artificial synapses. Frontiers in Nanotechnology, 6, [1400666]. (doi:10.3389/fnano.2024.1400666).

Record type: Article

Abstract

In this study, we report on a memristive device structure wherein monolayers of two-dimensional (2D) molybdenum disulfide (MoS 2) are integrated with an ultrathin yttrium oxide (Y 2O 3) layer to simulate artificial synapses functionality. The proposed physical simulation methodology is implemented in COMSOL Multiphysics tool and is based on the minimization of free energy of the used materials at the applied input voltage. The simulated device exhibits a stable bipolar resistive switching and the switching voltages is significantly reduced by increasing the number of MoS 2 layers, which is key to conventional low-power computing and neuromorphic applications. The device is shown to perform synaptic functionalities under various applied bias conditions. The resulting synaptic weight decreases almost linearly with the increasing number of MoS 2 layers due to the increase in the device thickness. The simulation outcomes pave the way for the development of optimised metal oxide-based memristive devices through their integration with semiconducting 2D materials. Also, the 2D MoS 2 integration can enable the optoelectronic operation of this memory device.

Text
1400666_Manuscript_Accepted - Accepted Manuscript
Available under License Creative Commons Attribution.
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More information

Accepted/In Press date: 16 April 2024
Published date: 2024
Additional Information: Publisher Copyright: Copyright © 2024 Gautam, Kumar, Rani, Zeimpekis and Georgiadou.
Keywords: 2D-TMD materials, artificial synapses, layered integration, memristive devices, metal oxide materials

Identifiers

Local EPrints ID: 489290
URI: http://eprints.soton.ac.uk/id/eprint/489290
PURE UUID: ca633ce0-b738-47d6-8436-0eadb5a68639
ORCID for Ioannis Zeimpekis: ORCID iD orcid.org/0000-0002-7455-1599
ORCID for Dimitra G. Georgiadou: ORCID iD orcid.org/0000-0002-2620-3346

Catalogue record

Date deposited: 19 Apr 2024 16:35
Last modified: 21 Sep 2024 04:01

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Contributors

Author: Mohit Kumar
Author: Sanjay Kumar
Author: Shalu Rani

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