Objective
EUSMI will provide the community of European soft-matter researchers with an open-access infrastructure as a platform to support and extend their research, covering characterization, synthesis, and modeling.
Where ESMI has set the standard for the past five years, EUSMI will significantly go beyond. EUSMI will enhance the European competitiveness in soft-matter research and innovation through the integration and the extension of the scope of existing specialized infrastructures. A full suite of coherent key infrastructures and the corresponding expertise from 15 top-level institutions are combined within EUSMI, which will become accessible to a broad community of researchers operating at different levels of the value chain, including SMEs and applied research. Access is offered to infrastructures covering the full chain of functional soft-matter material research, ranging from advanced material characterization by a full suite of specialized experimental installations, including large-scale facilities, chemical synthesis of a full set of soft-matter materials, upscaling of laboratory synthesis, to modeling by high-performance supercomputing.
The existing infrastructure will be continuously improved by JRA to allow users to conduct research always employing the most advanced techniques and methods..
In addition, an ambitious networking programme will ensure efficient dissemination and communication, as well as continued education of established researchers and training of an emerging generation of scientist. This approach will drive academic research and innovation in soft nanotechnology by providing a multidisciplinary set of essential research capabilities and expertise to guide users, developing the next generation of techniques and instruments to synthesize, characterize, and numerically simulate novel soft matter materials and contributing to the creation of a broad knowledge basis.
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.
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
52428 Julich
Germany
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Participants (23)
8054 Graz Strassgang
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20009 San Sebastian
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00185 Roma
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221 00 Lund
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2628 ZD Delft
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
52074 Aachen
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8092 Zuerich
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34142 TRIESTE
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
70013 Irakleio
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1700 Freiburg
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
22100 Lund
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63225 Langen Hessen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
5232 Villigen Psi
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5612 AZ Eindhoven
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EH8 9YL Edinburgh
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48940 Leioa
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95447 Bayreuth
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59000 Lille
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
75794 Paris
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2000 Antwerpen
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61 712 Poznan
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SR5 2TQ Sunderland
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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