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Vapor catalysis was recently found to play a crucial role in superclean graphene growth via chemical vapor decomposition (CVD). However, knowledge of vapor-phase catalysis is scarce, and several fundamental issues, including vapor compositions and their impact on graphene growth, are ambiguous. Here, by combining density functional theory (DFT) calculations, an ideal gas model, and a designed experiment, we found that the vapor was mainly composed of Cui clusters with tens of atoms. The vapor pressure was estimated to be ~ 10−12–10−11 bar under normal low-pressure CVD system (LPCVD) conditions for graphene growth, and the exposed surface area of Cui clusters in the vapor was 22–269 times that of the Cu substrate surface, highlighting the importance of vapor catalysis. DFT calculations show Cu clusters, represented by Cu17, have strong capabilities for adsorption, dehydrogenation, and decomposition of hydrocarbons. They exhibit an adsorption lifetime and reaction flux six orders of magnitude higher than those on the Cu surface, thus providing a sufficient supply of active C atoms for rapid graphene growth and improving the surface cleanliness of the synthesized graphene. Further experimental validation showed that increasing the amount of Cu vapor improved the as-synthesized graphene growth rate and surface cleanliness. This study provides a comprehensive understanding of vapor catalysis and the fundamental basis of vapor control for superclean graphene rapid growth.

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Publication history
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Acknowledgements

Publication history

Received: 22 August 2023
Revised: 10 October 2023
Accepted: 11 October 2023
Published: 01 December 2023
Issue date: May 2024

Copyright

© Tsinghua University Press 2023

Acknowledgements

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Nos. T2188101, 52021006, and 52072042), the National Natural Science Foundation of China Youth Scientist Fund (Nos. 22105006 and 52202033), Beijing National Laboratory for Molecular Science (No. BNLMS-CXTD-202001), the National Key R&D Program of China (Nos. 2016YFA0200101, 2016YFA0200103, and 2018YFA0703502), and the Beijing Municipal Science & Technology Commission (Nos. Z191100000819005, Z191100000819007, and Z201100008720005).

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