EMATTER

New materials for energy production and sustainable energy use

 Coordinatore THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE 

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 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 1˙963˙834 €
 EC contributo 1˙963˙834 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2011-StG_20101014
 Funding Scheme ERC-SG
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-02-01   -   2017-01-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    SOFIISKI UNIVERSITET SVETI KLIMENT OHRIDSKI

 Organization address address: Tsar Osvoboditel Blvd. 15
city: SOFIA
postcode: 1504

contact info
Titolo: Mr.
Nome: Bojil
Cognome: Dobrev
Email: send email
Telefono: 359888000000
Fax: 35928656413

BG (SOFIA) beneficiary 32˙181.82
2    THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE

 Organization address address: The Old Schools, Trinity Lane
city: CAMBRIDGE
postcode: CB2 1TN

contact info
Titolo: Dr.
Nome: Stoyan
Cognome: Smoukov
Email: send email
Telefono: 13127146321

UK (CAMBRIDGE) hostInstitution 1˙931˙652.78
3    THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE

 Organization address address: The Old Schools, Trinity Lane
city: CAMBRIDGE
postcode: CB2 1TN

contact info
Titolo: Ms.
Nome: Renata
Cognome: Schaeffer
Email: send email
Telefono: +44 1223 333543
Fax: +44 1223 332988

UK (CAMBRIDGE) hostInstitution 1˙931˙652.78

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

nanofiber    sustainable    efficient    materials    energy    catalysis    nanofibers    solution    autonomous    optical    life   

 Obiettivo del progetto (Objective)

'The proposed research is in the field of nanofiber materials, focusing on the development of functional nanofibers for the complementary purposes of energy production and sustainable energy use. Significant opportunities exist in these areas, stemming from the development of several methods in the last decade for higher capacity nanofiber production, as well as the strategic need to find alternatives to current production of energy and its uses. Nanofibers are expected to bring revolutionary advances to these and many other fields of science and technology, including catalysis, filtration, protein separations, tissue engineering, and flexible electronics. We will work on creating such materials with potential applications in multi-exciton photovoltaics and catalysis for energy production. For sustainable energy use, we will develop bioinspired responsive materials and architectures, which would store energy, release it on demand, and act as life-like, efficient, and autonomous entities. Fundamental questions we will address in the research include: How do we tailor semiconductor band structures, as well as achieve nanoscale morphologies for efficient dissociation of photogenerated excitons? Can we develop general predictive rules for the conditions needed to fabricate nanofibers from any polymer solution by liquid shear processing? Can the molecular crystallinity and porosity be controlled in the fibers? What are the simplest life-like, autonomous devices that could be made with synthetic materials?

This work will include extensive solution-based synthesis, processing, structural and chemical characterization (by optical and electron microscopy, small angle X-rays), physical property measurements (mechanical, optical, electronic), device fabrication and assembly, and computer simulations. Most of the facilities needed for the research are available in Cambridge, and some will be arranged for through external collaborations.'

Altri progetti dello stesso programma (FP7-IDEAS-ERC)

NUCLEAREFT (2011)

Nuclear Physics from Quantum Chromodynamics

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MAINCHEM (2012)

Non-Classical Main Group Chemistry; Supramolecular Chemistry and Catalysis

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NANOBRAIN (2010)

On-chip memristive artificial nano-synapses and neural networks

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