Computational thermodynamic study of SiC chemical vapor deposition from MTS-H2*

Jian Peng, Brian Jolly, David J. Mitchell, J. Allen Haynes, Dongwon Shin

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

This study focuses on the computational thermodynamic analysis of the chemical vapor deposition (CVD) of SiC from the methyltrichlorosilane-hydrogen (MTS-H2) using up-to-date thermodynamic databases. High-resolution computation has been performed with the fine intervals of temperature and pressure at the various H2/MTS ratios of interest to systematically investigate the deposition condition range (800 to 1600°C, 0 to 26 664 Pa, and H2/MTS ratios of 0.1 to 100) to guide experimental exploration. The influence of deposition parameters on the compositions and phase stabilities of the deposit and gas phase pertinent to vapor processing is elucidated. Low pressure and medium temperatures (1000 to 1400°C) are beneficial to reaching a higher SiC deposition efficiency and provide an optimal window for preparing a high-purity (>99 wt.% SiC) deposit. This optimal processing window expands significantly with an increasing H2/MTS ratio (<20). These results are supported by a number of previous theoretical and experimental observations. The mass fraction of SiC in deposit is proposed as an additional perspective to understand the discrepancy between thermodynamic calculation and experimental observation of pure CVD SiC at low H2/MTS ratios.

Original languageEnglish
Pages (from-to)3726-3737
Number of pages12
JournalJournal of the American Ceramic Society
Volume104
Issue number7
DOIs
StatePublished - Jul 2021

Funding

This research was sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U. S. Department of Energy. This research used resources of the Compute and Data Environment for Science (CADES) at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. The authors thank Chris Layton for his support on using CADES, and Thomas Watkins and Richard Andrew Lowden for valuable discussions about XRD measurement and CVD/CVI, respectively.

FundersFunder number
CADES
CVD
Data Environment for Science
U.S. Department of EnergyDE-AC05-00OR22725
Cardiovascular Institute of Philadelphia
Office of Science
Oak Ridge National Laboratory

    Keywords

    • CVD/CVI
    • MTS
    • SiC
    • computational thermodynamics
    • high-throughput calculation

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