journal article·2026-06Open access

Computational Modeling and Experimental Validation of Variabilities in Chemical Vapor Deposition of Graphene on Metals

Tanuj Joshi, R. K. Singh Raman, Yiannis Ventikos

Small· Volume 22· Issue 32

Abstract

ABSTRACT Achieving laterally uniform graphene coatings via low‐pressure chemical vapor deposition (LPCVD) remains challenging due to substrate‐scale variations in near‐wall transport that govern precursor renewal and local growth. Here, transient 3D CFD is coupled with spatially resolved characterization to examine how substrate inclination reorganizes near‐wall transport in a hot‐wall quartz‐tube LPCVD reactor and its influence on graphene thickness uniformity. Across four substrate tilt angles (9°, 21°, 33°, and 45°), uniform coatings emerge not from maximizing flow intensity, but from establishing a laterally distributed near‐surface transport field without significant downstream shielding. Shallow inclination (9°) produces weak surface‐parallel transport and thicker boundary layers. In contrast, steep inclination (45°) induces strong but highly localized acceleration followed by wake‐driven transport heterogeneity. Intermediate inclinations (21°–33°) yield more balanced near‐surface velocity and wall shear stress distributions, promoting spatially uniform precursor renewal across the substrate surface. Raman mapping and SEM‐based morphology analysis corroborate these transport trends, confirming reduced spatial segregation and improved thickness coherence within the 21°–33° inclination window. These findings establish a transport‐based framework for interpreting substrate orientation effects in LPCVD graphene growth and provide reactor‐level guidance for achieving uniform coatings in comparable hot‐wall LPCVD systems.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Graphene research and applications · Thermal properties of materials · Diamond and Carbon-based Materials Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mechanical and Aerospace Engineering Monash University Melbourne Australia

Research in Advanced Materials Alloys & Nanosystems (RAMAN) Lab Monash University Melbourne Australia

References (28)

Show source-provided references
1. 10.1016/j.carbon.2012.04.04810.1016/j.carbon.2012.04.048 ↗
2. 10.1002/adma.20170294410.1002/adma.201702944 ↗
3. 10.1021/nn103028d10.1021/nn103028d ↗
4. 10.1002/adfm.20211026410.1002/adfm.202110264 ↗
5. 10.1002/smll.20230249810.1002/smll.202302498 ↗
6. 10.1021/nn203507y10.1021/nn203507y ↗
7. 10.1021/nn401435610.1021/nn4014356 ↗
8. 10.1016/j.carbon.2022.08.05410.1016/j.carbon.2022.08.054 ↗
9. 10.1016/j.carbon.2019.05.07110.1016/j.carbon.2019.05.071 ↗
10. 10.3390/nano1604026510.3390/nano16040265 ↗
11. 10.1002/adma.20180099610.1002/adma.201800996 ↗
12. 10.1149/1.222158810.1149/1.2221588 ↗
13. 10.1039/C5CP02301G10.1039/C5CP02301G ↗
14. 10.1016/j.vacuum.2025.11476810.1016/j.vacuum.2025.114768 ↗
15. K.KhanaferandM. F.Lightstone Computational Modeling of Transport Phenomena in Chemical Vapor Deposition | Heat and Mass Transfer accessed September 18 2025 https://link.springer.com/article/10.1007/s00231‐004‐0571‐z.
16. 10.1039/C2JM33881E10.1039/C2JM33881E ↗
17. 10.1088/2053‐1583/ab33ae10.1088/2053‐1583/ab33ae ↗
18. 10.37934/arnht.27.1.284410.37934/arnht.27.1.2844 ↗
19. 10.48550/arXiv.2409.1899410.48550/arXiv.2409.18994 ↗
20. 10.1016/j.heliyon.2023.e1506110.1016/j.heliyon.2023.e15061 ↗
21. 10.1016/j.oceaneng.2024.11998710.1016/j.oceaneng.2024.119987 ↗
22. 10.1016/j.powtec.2024.11987910.1016/j.powtec.2024.119879 ↗
23. 10.1063/5.018712610.1063/5.0187126 ↗
24. 10.1016/j.rineng.2022.10085810.1016/j.rineng.2022.100858 ↗
25. 10.1016/j.powtec.2023.11828410.1016/j.powtec.2023.118284 ↗
26. White F. M. · 2006
27. 10.1039/C6CS00915H10.1039/C6CS00915H ↗
28. 10.1002/smll.20230532010.1002/smll.202305320 ↗