Journal of Materials Science and Chemical Engineering

Volume 10, Issue 11 (November 2022)

ISSN Print: 2327-6045   ISSN Online: 2327-6053

Google-based Impact Factor: 0.72  Citations  

Property Analysis of SiC-Crystals Grafted with Graphene Using Molecular Dynamics Simulations

HTML  XML Download Download as PDF (Size: 1845KB)  PP. 1-15  
DOI: 10.4236/msce.2022.1011001    106 Downloads   480 Views  

ABSTRACT

Silicon carbide and graphene possess extraordinary chemical and physical properties. Here, these different systems are linked and the changes in structural and dynamic properties are investigated. For the simulations performed a classical molecular dynamic (MD) approach was used. In this approach, a graphene layer (N = 240 atoms) was grafted at different distances on top of a 6H-SiC structure (N = 2400 atoms) and onto a 3C-SiC structure (N = 1728 atoms). The distances between the graphene and the 6H are 1.0, 1.3 and 1.5 Å and the distances between the graphene layer and the 3C-SiC are 2.0, 2.3, and 2.5 Å. Each system has been equilibrated at room temperature until no further relaxation was observed. The 6H-SiC structure in combination with graphene proves to be more stable compared to the combination with 3C-SiC. This can be seen well in the determined energies. Pair distribution functions were influenced slightly by the graphene layer due to steric and energetic changes. This becomes clear from the small shifts of the C-C distances. Interactions as well as bonds between graphene and SiC lead to the fact that small shoulders of the high-frequency SiC-peaks are visible in the spectra and at the same time the high-frequency peaks of graphene are completely absent.

Share and Cite:

Lewtschenko, T. , Pagel, M. , Wenzel, N. and Oligschleger, C. (2022) Property Analysis of SiC-Crystals Grafted with Graphene Using Molecular Dynamics Simulations. Journal of Materials Science and Chemical Engineering, 10, 1-15. doi: 10.4236/msce.2022.1011001.

Cited by

No relevant information.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.