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In Situ Graphene Growth Dynamics on Polycrystalline Catalyst Foils

Published version
Peer-reviewed

Type

Article

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Authors

Weatherup, RS 
Shahani, AJ 
Wang, Z-J 
Mingard, K 
Pollard, AJ 

Abstract

The dynamics of graphene growth on polycrystalline Pt foils during chemical vapor deposition (CVD) are investigated using in situ scanning electron microscopy and complementary structural characterization of the catalyst with electron backscatter diffraction. A general growth model is outlined that considers precursor dissociation, mass transport, and attachment to the edge of a growing domain. We thereby analyze graphene growth dynamics at different length scales and reveal that the rate-limiting step varies throughout the process and across different regions of the catalyst surface, including different facets of an individual graphene domain. The facets that define the domain shapes lie normal to slow growth directions, which are determined by the interfacial mobility when attachment to domain edges is rate-limiting, as well as anisotropy in surface diffusion as diffusion becomes rate-limiting. Our observations and analysis thus reveal that the structure of CVD graphene films is intimately linked to that of the underlying polycrystalline catalyst, with both interfacial mobility and diffusional anisotropy depending on the presence of step edges and grain boundaries. The growth model developed serves as a general framework for understanding and optimizing the growth of 2D materials on polycrystalline catalysts.

Description

Keywords

graphene, chemical vapor deposition, domain shape, growth dynamics, modeling, platinum

Journal Title

Nano Letters

Conference Name

Journal ISSN

1530-6984
1530-6992

Volume Title

16

Publisher

American Chemical Society
Sponsorship
European Research Council (279342)
European Commission (285275)
Engineering and Physical Sciences Research Council (EP/K016636/1)
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (656870)
St. John’s College, Cambridge (Research Fellowship), European Union’s Horizon 2020 research and innovation programme (Marie Skłodowska-Curie Individual Fellowship (Global) under Grant ID: ARTIST (no. 656870)), National Science Foundation (graduate research fellowship (DGE-1324585)), European Research Council (Grant ID: InsituNANO (no. 279342)), EUFP7 Work Programme (Grant ID: GRAFOL (project reference 285275)) , Engineering and Physical Sciences Research Council (Grant ID: GRAPHTED (project reference EP/K016636/1)), Strategic Capability programme of the National Measurement System of the U.K. Department of Business, Innovation, and Skills (project no. 119376)