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NCQP: Nano-Conversion-Quantum-plasmonic

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  • European Regional Development Fund (ERDF)
  • 1 Jan 2019 to 31 Dec 2020
  • France

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Operation co-funded by EU cohesion policy (European Regional Development Fund (ERDF)) under the programme Champagne-Ardenne - ERDF/ESF/YEI (2014FR16M0OP004), managing authority: Conseil régional Grand Est. The source names no beneficiary for this operation. Location: Aube (NUTS FRF22); France. Budget: total eligible expenditure EUR 46,000; EU co-financing EUR 23,000 (co-financing rate 50%), as stated by the source. Runs 2019-01-01 to 2020-12-31. Source: Kohesio, EU cohesion policy projects managed by national and regional authorities (not CORDIS). Summary from Kohesio (English machine translation by the source): The main limitation of solar cell efficiency is the mismatch between the solar radiation spectrum and the operating spectrum of the photovoltaic cell. In order to improve the efficiency of light/current conversion, it is therefore necessary to create secondary radiation from the incident solar radiation that is adapted to the spectral sensitivity of the cells. The creation of this secondary radiation will be achieved through two photon conversion processes through nanoplasmonic particle hybridisation with quantum N-level systems.

Original source.

Source: Kohesio (EU cohesion policy projects), European Commission, Directorate-General for Regional and Urban Policy (DG REGIO). Retrieved 2026-10-21. Licence: CC0 1.0 (Cohesion Open Data Platform, dataset 2014-2020 Kohesio projects). Selected metadata, adapted presentation; the publisher's record is authoritative. No endorsement by the source is implied. Licence: public domain dedication (CC0 1.0).

AI-assisted summary: The NCQP project, co-funded by the EU, aims to enhance solar cell efficiency by creating secondary radiation through nanoplasmonic particle hybridisation with quantum systems. It has a budget of EUR 46,000, with EUR 23,000 from EU co-financing, running from 2019 to 2020 in Aube, France. Suggested technology pillar: sensing. Generated by AI from the public source text; it may contain errors and the original source is authoritative.

Source: kohesio.ec.europa.eu · checked 21 Oct 2026 · AI-assisted summary