Computational Modeling of 2D Transition Metal Dichalcogenides by Atomic Layer Deposition

Joy Sigurdson, Matthew Lawson, Lan Li, Elton Graugnard

Research output: Contribution to conferencePresentation

Abstract

Targeted theme is Advanced Devices, Packaging, and Materials. The goal of this project is to investigate atomic layer deposition (ALD) of two-dimensional (2D) transition metal dichalcogenides (TMDs) using computational modeling. Our objective is to screen precursors specifically MoCl 2 (III) Me 2 NC(N i Pr) 2 , MoCl 4 (V) Me 2 NC(N i Pr) 2 , and MoF 6 and run a series of energetic calculations. This data will show us how stable and reactive our precursors are and help develop new precursors for growing TMDs using ALD. TMDs have great potential for logic, memory, opto-electronic, energy harvesting, energy storage, and thermal management applications and devices.

Original languageAmerican English
StatePublished - 12 Jul 2017

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