A computational framework for guiding the MOCVD-growth of wafer-scale 2D materials

Kasra Momeni*, Yanzhou Ji, Nadire Nayir, Nurruzaman Sakib, Haoyue Zhu, Shiddartha Paul, Tanushree H. Choudhury, Sara Neshani, Adri C.T. van Duin, Joan M. Redwing, Long Qing Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

Abstract

Reproducible wafer-scale growth of two-dimensional (2D) materials using the Chemical Vapor Deposition (CVD) process with precise control over their properties is challenging due to a lack of understanding of the growth mechanisms spanning over several length scales and sensitivity of the synthesis to subtle changes in growth conditions. A multiscale computational framework coupling Computational Fluid Dynamics (CFD), Phase-Field (PF), and reactive Molecular Dynamics (MD) was developed – called the CPM model – and experimentally verified. Correlation between theoretical predictions and thorough experimental measurements for a Metal-Organic CVD (MOCVD)-grown WSe2 model material revealed the full power of this computational approach. Large-area uniform 2D materials are synthesized via MOCVD, guided by computational analyses. The developed computational framework provides the foundation for guiding the synthesis of wafer-scale 2D materials with precise control over the coverage, morphology, and properties, a critical capability for fabricating electronic, optoelectronic, and quantum computing devices.

Original languageEnglish
Article number240
Journalnpj Computational Materials
Volume8
Issue number1
DOIs
Publication statusPublished - Dec 2022
Externally publishedYes

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© 2022, The Author(s).

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