Objective
GLADIATOR (Graphene Layers: Production, Characterization and Integration) will enable the scalable production of cheaper, higher quality and larger area graphene sheets. The project will achieve this by optimizing the performance of CVD graphene (using doping), by increasing the throughput and size of CVD batch reactors, and by improving the process by which graphene is transferred for the CVD catalysts to the application substrate. GLADIATOR directly targets the gobal market for transparent electrodes (estimated to be worth over 11,000 million USD in 2016) and will demonstrate that the performance and price of indium tin oxide can be matched by graphene (transparency > 90%, sheet resistance < 10 Ohm/sq, cost < 30 Eur/ square meter). The new production technologies will be demonstrated by making ultraviolet organic photodiodes (possible application as fire sensors) and large area flexible OLEDs.
CVD graphene production will be optimized using new diagnostic and process control instrumentation based on Raman spectroscopy and spectrometric ellipsometry; the quality of graphene layers post-transfer will be assured using new non-contact in-line eddy current measurements and THz imaging. CVD production costs per unit area will be reduced not only by the process parameter optimization, but also by developing methods to re-use the catalysts and by increasing the size of the reactor chamber. The process safety will be addressed, too.
A critical issue for graphene, especially as a transparent electrode, is how to achieve homogenous large area coverage. GLADIATOR will extend the size of graphene layers beyond that of the CVD tools by implementing a novel patchwork process using a transfer process with high yields and negligible impact upon the properties of the graphene. Transfer processes will be developed for rigid and flexible substrates appropriate for organic large area electronics (OLAE), and substrate and barrier properties will be optimized for use with graphene.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologynanotechnologynano-materialstwo-dimensional nanostructuresgraphene
- natural scienceschemical sciencesinorganic chemistrypost-transition metals
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural scienceschemical sciencescatalysis
- natural sciencesphysical sciencesopticsspectroscopy
Programme(s)
Call for proposal
FP7-NMP-2013-LARGE-7
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Funding Scheme
CP-IP - Large-scale integrating projectCoordinator
80686 Munchen
Germany
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Participants (15)
20009 San Sebastian Guipuzcoa
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2800 Kongens Lyngby
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91120 Palaiseau
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52134 Herzogenrath
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CB24 5FQ Cambridge
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01109 Dresden
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75015 PARIS 15
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8280 Kreuzlingen
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78224 SINGEN
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04318 Leipzig
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Participation ended
28230 LAS ROZAS MADRID
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2100 Kobenhavn
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546 36 THESSALONIKI
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570 01 -
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3125 Toffen
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