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EU funding (€7,995,647): 1D Nanofibre Electro-Optic Networks Hor 1 Apr 2016 EU Research and Innovation programme "Horizon"

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1D Nanofibre Electro-Optic Networks

The vision of 1D-NEON proposal is to develop fibre-based smart materials along with an integrated technology platform for the manufacturing in Europe of new products with multi-sectorial applications in consumer electronics, energy, healthcare and fitness, smart buildings, sensors and e-skin for soft robotics. The overall objective of 1D-NEON is to build a modular platform for manufacturing fibre-based industrial products in multiple market sectors. Nanomaterials will be assembled into five basic fibre components along with manufacturing processes for integration into smart products, to impact three pilot applications. Our design and manufacturing approach will address both technical performance and cost-effectiveness of these multi-sectorial applications, targeting sustainable development of new high-value, high performance devices and systems that could be integrated safely into everyday objects for an improved quality of life. With that perspective, 1D-NEON fully addresses the challenges of the H2020 work programme topic NMP 22 – 2015: Fibre-based materials for non-clothing applications.


Funded Companies:

Company name Funding amount
Bioage Srl €404,805
Centitvc - Centro de Nanotecnologiae Materiais Tecnicos Funcionais Einteligentes €449,469
Fundacio Eurecat €450,750
Henkel KGaA €349,300
LG Display Germany GmbH €197,750
Relats SA €211,750
Saati S.p.A. €405,738
Signify Netherlands B.V. €308,595
Silvaco Europe Ltd. €303,017
Syensqo Specialty Polymers Italy S.p.A. €410,419
Textilforschungsinstitut Thüringen Vogtland e. V. €811,250
The Chancellor, Masters and Scholars of the University of Oxford €448,925
The Chancellor Masters and Scholars of the University of Cambridge €2,293,078
Uninova-Instituto de Desenvolvimento de Novas Tecnologias-Associação €950,803

Source: https://cordis.europa.eu/project/id/685758

The filing refers to a past date, and does not necessarily reflect the current state.