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Rapid and highly efficient growth of graphene on copper by chemical vapor deposition of ethanol

The growth of graphene by chemical vapor deposition on metal foils is a promising technique to deliver large-area films with high electron mobility. Nowadays, the chemical vapor deposition of hydrocarbons on copper is the most investigated synthesis method, although many other carbon precursors and metal substrates are used too. Among these, ethanol is a safe and inexpensive precursor that seems to offer favorable synthesis kinetics. We explored the growth of graphene on copper from ethanol, focusing on processes of short duration (up to one min). We investigated the produced films by electron microscopy, Raman and X-ray photoemission spectroscopy. A graphene film with high crystalline quality was found to cover the entire copper catalyst substrate in just 20 s, making ethanol appear as a more efficient carbon feedstock than methane and other commonly used precursors. (C) 2014 Elsevier B.V. All rights reserved.
- National Research Council Italy
- ENEA Italy
- Institute for Microelectronics and Microsystems Italy
- Queensland University of Technology Australia
- University of Reggio Calabria Italy
Fast Growth, Ethanol, Cristallinity, Chemical Vapor Deposition, Liquid precursor, Chemical vapor deposition, Catalyst, Graphene, Rapid growth, Copper
Fast Growth, Ethanol, Cristallinity, Chemical Vapor Deposition, Liquid precursor, Chemical vapor deposition, Catalyst, Graphene, Rapid growth, Copper
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).35 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
