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New Graphene Imager based on Graphene-on-wafer

Project description

Graphene photodetector could improve night-vision cameras

The main objective of the EU-funded G-IMAGER project is to develop cheaper and higher-performance night-vision cameras for use in the automotive, food, plastic waste and mining industries. The imager solution will be a short-wave infrared detector, which will be a lower-cost alternative to the currently used detectors made from indium gallium arsenide. G-IMAGER’s breakthrough concept relies on coupling graphene channels to photosensitive nanocrystal materials and integrating them in a chip. Apart from the lower cost, other benefits of the G-IMAGER solution are the lack of cooling requirements, and its low noise, large dynamic range, broad spectral range and scalable pixel size. These benefits will help ensure quick market uptake of the product.

Objective

G-IMAGER’s goal is to create added value through the introduction of high performing Graphene-on-wafer at competitive cost, accelerating innovation for the advanced electronic industry and eventually creating a new product category. This new area of development will make it possible for the European industry to harness this high market potential, fostering competitiveness and creating growth throughout the EU. The consortium proposes this project after an internal Business Innovation Plan, in order to take the CVD Graphene-on-wafer technology a step closer to the market through a new Graphene Imager product. This project will allow GS and EMB to become the worldwide leader as Graphene related electronics producers with the necessary production capacity to supply the industry and the research laboratories. More specifically, the G-IMAGER objectives are:
• To develop ready-to-integrate Graphene-on-wafers for the advanced electronic industry.
• To set up a customized rapid prototyping line and a new “foundry service”.
• To produce a new Graphene Imager product and validate it for industrial acceptance.
• Increase process yield and implement an automated and optimised quality control considering market requirements
• Scale production capacity to more than 10,000 wafers/year to demonstrate commercial feasibility and business growth

GS has validated and patented a highly efficient Graphene-on-wafer production process and its application into electronic devices. The consortium will be able to introduce Graphene Imager products at an industrial scale positively impacting the SWIR camera market of $ 1,100 M. The consortium will become the worldwide leader in Graphene-based advanced electronics and generate a cumulative net income of at least €60 M in four years and +33 jobs.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

IA - Innovation action

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-EIC-FTI-2018-2020

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Coordinator

GRAPHENEA SEMICONDUCTOR SL
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 926 493,75
Address
PS MIKELETEGI 83
20009 Donostia
Spain

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Noreste País Vasco Gipuzkoa
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 436 062,50

Participants (4)

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