Operando Characterization and Molecular Simulations Reveal the Growth Kinetics of Graphene on Liquid Copper during Chemical Vapor Deposition
Valentina Rein, Hao Gao, Hendrik H. Heenen, Wissal Sghaier, Anastasios, C. Manikas, Mehdi Saedi, Johannes T. Margraf, Costas Galiotis, Gilles Renaud,, Oleg V. Konovalov, Irene M. N. Groot, Karsten Reuter, Maciej Jankowski

TL;DR
This study combines real-time experiments and molecular simulations to elucidate the growth kinetics of graphene on liquid copper during chemical vapor deposition, revealing mechanisms that improve graphene quality.
Contribution
It provides the first detailed mechanistic understanding of graphene growth on liquid copper, integrating experimental observations with machine-learning simulations.
Findings
Growth limited by precursor attachment and availability.
Liquid copper suppresses carbon dimer attachment.
Microkinetic model explains mixed growth kinetics.
Abstract
In recent years, liquid metal catalysts have emerged as a compelling choice for the controllable, large-scale, and high-quality synthesis of two-dimensional materials. At present, there is little mechanistic understanding of the intricate catalytic process, though, of its governing factors or what renders it superior to growth at the corresponding solid catalysts. Here, we report on a combined experimental and computational study of the kinetics of graphene growth during chemical vapor deposition on a liquid copper catalyst. By monitoring the growing graphene flakes in real time using in situ radiation-mode optical microscopy, we explore the growth morphology and kinetics over a wide range of CH4-to-H2 pressure ratios and deposition temperatures. Constant growth rates of the flakes' radius indicate a growth mode limited by precursor attachment, whereas methane-flux-dependent flake…
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Taxonomy
TopicsGraphene research and applications · Machine Learning in Materials Science · Thermal properties of materials
