Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Innovative Quantum Dot material technology for stunning colours and energy efficiency in QLED televisions (Perovskite-QDD)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Switzerland
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-05-01
End date: 2020-12-31
Duration (months): 20.0
Total project cost (EUR): 2617393.75
EU funding (EUR): 1832175.63
Participants: 1
Project status: CLOSED

Quantum Dot (QD) displays represent the next generation of TVs with enhanced, brilliant colours, precise visualisations, and greater energy efficiency. However, the materials, cadmium and indium, currently uses to produce these displays have multiple drawbacks. The use of Cadmium in the European area is restricted due to health safety reasons. Indium-based QDs have been highly lacking in performance. They have lower performing quantum yields (QY), measuring at averages of 80%, while also showing poor color performances due to high narrow emission spectrums (FWHM) at more than 40nm. Both technologies have very high production cost due to an extensive production process. We have developed Perovskite-based Quantum Dots that show the highest Quantum Yield and therefore the highest power saving properties. Our Perovskite QDs also show such a narrow FWHM that enables to span the whole colour spectrum as perceivable by the human eye. These features will allow to produce brilliant colours, precise visualisations, and energy savings for the next generation of TV screens. Our high performance QDs, add up to 50% more colours and save up to 30% of currently expended energy for operations compared to QD-enhanced LCD TVs from industry-leader Samsung. We are currently making sales on our R&D scale QDs, as well as sales on other nanomaterials in solution processed OLED and solution processed solar cells. We have currently 15 full-time employees that help us power our operations and support to deliver our sales requests. We have come to the point where our operations would have to significantly ramp-up. The Phase 2 project will allow to set-up the production of Perovskite QDs on an industrial level in order to become a key supplier of optical film manufacturers in the TV screen production value chain.

Keywords: quantum dots,perovskite,display,optical film,television
Error-Proof Optical Bell-State Analyzer (ErBeStA)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Germany,Germany,Germany,Denmark,Denmark,United Kingdom
Call: FET-Open research and innovation actions (H2020-FETOPEN-1-2016-2017, 2017)
Start date: 2018-07-01
End date: 2022-06-30
Duration (months): 48.0
Total project cost (EUR): 2996653.75
EU funding (EUR): 2996653.75
Participants: 11
Project status: CLOSED

We propose to solve the long-standing problem of building a complete Bell-state analyser that is free from measurement errors. The realisation of such an error-proof Bell-state analyser constitutes a groundbreaking milestone for information technologies as it forms the key component for universal optical quantum computers and long-distance quantum communication. Reliable Bell-state detection will immediately impact the development of emerging quantum technologies, facilitate high-precision time-keeping and sensing, and enable future technologies such as secure communication or quantum cloud computing. This major conceptual and technological advancement will be made possible by combining two of the most recent breakthroughs at the frontier of quantum optics and nanophotonics: (i) ultra-strong quantum optical nonlinearities obtained from Rydberg-atom interactions or from a single quantum emitter strongly coupled to an optical microresonator and (ii) nanofabricated optical waveguide chips that permit high-level control of light propagation at the wavelength scale. The ambitious goal of the ErBeStA-project will be reached within a consortium which combines the essential conceptual and technological expertise in all required key areas and contributes complementary cutting-edge experimental setups that facilitate all necessary technological developments. Building the proposed Bell-state analyser will involve the development of advanced optical devices such as nondestructive photon-number-resolving detectors as well as configurable photon-number-specific filters and sorters, all of which constitute major scientific and technological breakthroughs on their own. Overall, ErBeStA will provide the first nonlinear light-matter interface coupled to on-chip complex optical circuitry, and, thereby, lay the foundation for future technology built on scalable quantum nonlinear devices.

Keywords: cavity quantum electrodynamics,rydberg blockade,hybrid quantum systems,optical,microresonators
Elucidating how Bifidobacteria shapes the microbiota in response to infant diet. (INFANT MICROBIOTA)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: United Kingdom,United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-07-01
End date: 2017-06-30
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 2
Project status: CLOSED

After birth we are colonized by a consortium of bacteria that are critical for health. Bifidobacteria represent pioneer members, and reach high levels within the gut microbiota of breast-fed infants. These bacteria are proposed to be critical for establishing ‘healthy’ microbiota development and immune defense; however the mechanisms remain unknown. We hypothesize that breast-milk metabolism by Bifidobacteria provides microbial-derived metabolic products key to promoting stable colonisation of other members in the microbiota, suggesting a mechanism as to why formula-fed infants have an altered microbiota and associated increased risk to a variety of diseases. This MCSA seeks to elucidate the function of Bifidobacteria with host diet, by developing a model colon ecosystem colonised with defined infant bacterial isolates to identify key bifidobacterial-derived metabolic byproducts that differ between breast milk and formula metabolism using cutting-edge metabolic tracer experiments and [13C]-Bifidobacteria pseudocatenulatum. Aim 2 will determine the genomic and regulatory elements in B. pseudocatenulatum required for adaption/metabolism of breast-milk or infant formula in the model colon via construction of a genome-wide mutant library generated by high through-put transposon mutagenesis. Metabolites identified in aim 1 will be linked to specific bifidobacterial gene function, based on the identity of essential mutants unable to grow in the presence of breast-milk (aim 2). We will also determine how host diet impacts microbiota composition in the model ecosystem, by monitoring microbial diversity by 16S rRNA analysis. Finally, to promote a ‘healthy’ microbiota, identified breast-milk metabolites will be used to supplement the formula fed model. This research will provide critical insight into the function and mechanism of how infant diet impacts bifidobacteria colonisation, with the potential to identify key bifidobacterial-metabolites that promote life-long health.

Keywords: bifidobacteria,breast milk,infant diet
TRACKING ENERGY INNOVATION IMPACTS FRAMEWORK (TEIIF)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: Coordination and support actions
Countries involved: United Arab Emirates
Call: Contribution to the IRENA’s Clean Energy Innovation Analysis (H2020-IBA-ENERGY-IRENA-2019, 2019)
Start date: 2020-04-01
End date: 2021-09-30
Duration (months): 18.0
Total project cost (EUR): 500000.0
EU funding (EUR): 500000.0
Participants: 1
Project status: SIGNED

The objective of the project is to provide enhanced insights into the impact that innovation, in particular through Research, Development and Demonstration (RD&D), is having on progress in key clean energy technologies and in the transformation of energy systems around the world. Assessments of the impact of innovation support programmes, such as Horizon 2020, are of significant interest to the European Commission and governments investing in clean energy innovation. The TEIIF project will be delivered by the International Renewable Energy Agency (IRENA). The Agency will draw on its established capabilities (its global membership, existing databases and analytical experience) to expand relevant data sets and to develop a methodology to allow the more robust, quantitative assessment of clean energy innovation progress. Such an assessment will lead to a better understanding of the progress being made through clean energy innovation. The project results will be disseminated to policy makers to: provide them with better insights into the impact of their innovation funding and support programmes; assist in identifying both strengths and gaps, and; inform future investment plans. The project will address specific challenges associated with tracking innovation and their impacts by (1) broadening and deepening IRENA’s existing cost and performance data sets for key clean energy technologies; (2) exploring the use of datasets around patents, standards and publications related to clean energy innovation and (3) analysing clean energy innovation progress and trends based on innovation output indicators. The project will link to and build upon existing efforts of the European Commission, including work by the Joint Research Centre and other actors.

Keywords: innovation,technology,cost data,performance data,patents,standards,impact,clean energy innovation index,innovation outputs,innovation inputs,solar pv,hydrogen,wind,inspire
Light Assisted-CRYStallization (LACRYS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Earth system science
Panel description: Physical geography, geology, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: Italy,Spain
Call: ERC Proof of Concept Grant (ERC-2018-PoC, 2018)
Start date: 2019-03-01
End date: 2020-12-31
Duration (months): 22.0
Total project cost (EUR): 149625.0
EU funding (EUR): 104625.0
Participants: 2
Project status: CLOSED

The objective of the LACRYS project is to validate and de-risk a technology based on light assisted crystallization for restoration of artworks (frescos), to assess its market potential and identify the most suitable exploitation strategy. Precipitation or dissolution oThe precipitation or dissolution of single and composite materials is a ubiquitous process in materials science and nature. So far, it can be controlled at large scale either in laboratory experiments or industrial processes. However, controlling the precipitation (or dissolution) of a mineral phase at micron scale is nowadays a challenge opening the gate to precious applications in health sciences (bone and teeth repair), art preservation (frescos and most pieces of work), the synthesis of advanced complex materials and the polymorphic control in pharmaceutical industry. We have envisaged a new, feasible and affordable method to control the precipitation/dissolution of mineral phases at the scale of one micron and below. Our method uses light-sensitive molecules that can induce a local change of pH (or a local change of concentration of specific species) upon illumination with a particular wavelength. Light can be currently focused at the scale of tens of femtolitre in volume, thus allowing a formidable control of the nucleation and growth of mineral phases. The applications of this new technique would be almost universal. Therefore, we plan for this project: a) to demonstrate the limits of feasibility of the methodology and patent it; b) to optimize formulations for the specific cases of carbonate and phosphate precipitation/dissolution with obvious applications in bones and teeth repair and art preservation; c) to perform a market study to have a detailed evaluation of the value of the invention while exploring applications in the fields of polymorphic control, microgravity and fabrication of complex material at nanoscale, and d) to develop a plan for commercialization and promoting the technology.

Keywords: crystallization,dissolution,photoactivation,photoactive and photobasic generators,microscale,carbonate and phosphate photogenerators,light assisted crystallization
AttributioN of DynAmic and thermodyNamic components in exTreme weather and climate Events (ANDANTE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-03-01
End date: 2023-03-20
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: SIGNED

Extreme weather and climate events, such as heat waves, droughts and their combinations, are intrinsic aspects of the evolution of the climate system, and they can have substantial environmental and socio-economic impacts. Every extreme event is the result of a superposition of external drivers, natural and anthropogenic, and internal variability. Risk-based or probabilistic extreme event attribution assesses to what extent anthropogenic drivers modify the probability and magnitude, and hence the risk of an extreme event or a class of events to understand regional impacts of climate change. Surface conditions depend on the patterns of atmospheric circulation. Thus, in a specific region human-induced thermodynamic influence can be amplified or counteracted by human-induced change in the atmospheric circulation. The main goal of ANDANTE is to separate human-induced dynamic (i.e. circulation/flow) and thermodynamic contributions to the risk of selected extreme events in Europe and Africa. Since we are dealing with rare events we need large or even better very large ensembles of model simulations (~1,000 members) to do the flow-conditional probabilistic event attribution in statistically sound way (i.e. to get well-resolved probability distributions) with the methods of flow clusters (weather regimes/climate modes) and flow analogues. The project will make a key contribution to the development of the next-generation prediction and event attribution system. The produced new very large ensembles will be combined with the current-generation ensembles as well as multi-model climate simulations and multi-member reanalysis products to perform robust multi-method estimates of the univariate and multivariate (i.e. multi-variable) risk indicators. The risk assessment of selected extreme events manifested in surface temperature, precipitation, potential evapotranspiration and fire weather index can be useful to a wide spectrum of stakeholders interested in climate change impacts.

Keywords: extreme weather and climate events,climate dynamics climate change,modelling and attribution of extreme events,risk assessment,weather regimes,climate modes,atmospheric teleconnections
European Reseearchers Night: Researchers in Real Life. (ESC)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: European researchers' Night
Action type: Marie Skłodowska-Curie actions
Countries involved: Spain
Call: European Researchers' Night (NIGHT) (H2020-MSCA-NIGHT-2014, 2014)
Start date: 2014-05-01
End date: 2015-11-30
Duration (months): 19.0
Total project cost (EUR): 287850.0
EU funding (EUR): 110000.0
Participants: 3
Project status: CLOSED

“Researchers in Real Life” is the project to show people of Aragon, researchers are common people and their work is in our daily life, in a festive mood with activities in City Center streets. After three years European Researchers Night has become an important event in Saragossa. The activities are specifically designed to address public at large and young people. We have previous experience in high involvement of researchers doing activities, and a useful structure program to reach 16.000 attendances. The topics are related with how researchers are in real life, hobbies, sports, and common interests. The event will be a real “Science party” involving most of the reseach entities in Aragon within a tag “Researchers in Real Life” that has become popular for people in the Community. It is remarkable the involvement of the regional stakeholders, which support this European initiative. We work with them to involve new participants and get to more public. Special attention will be paid to promotion of scientific careers to pupils, and we will show researchers in industry and playing different roles; Researchers are everywhere among us. The management team of project will be the same as last editions: Esciencia Eventos Cientificos as coordinator, the University of Zaragoza, ARID Foundation (Government of Aragon), which have half of researchers of Aragon. Cooperating bodies such as The Spanish National Research Council (CSIC), Ibercaja Foundation dependant from main regional bank, and Dinopolis Foundation that manage the Teruel science museum. The consolidated project in Zaragoza will continue its growth because in 2014-2015 Researchers in Real Life will include two new cities in another province (Teruel) within the Community of Aragon, Alcañiz (16,000 inhabitants) in 2014, and Teruel city (35.000 in 2015). This new location will allow us to improve the expected number of people in awereness campaign and the participation rates.

Keywords: public recognition of researchers,researchers communication,promotion of sciece careers
Organic/Inorganic Hybrid Photoelectrodes for sustainable CO2 reduction (HyPhoCO)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-01-01
End date: 2023-12-31
Duration (months): 24.0
Total project cost (EUR): 160932.48
EU funding (EUR): 160932.48
Participants: 1
Project status: CLOSED

The photoelectrochemical (PEC) CO2 reduction to fuels and other valuable chemicals is an appreciated artificial photosynthesis approach that simultaneously addresses the valorisation of CO2 emissions and the storage of renewable solar energy. Conjugated porous polymer (CPP) semiconductors have been identified as ideal materials for solar energy applications due to their unique advantages of high chemical stability and molecularly tunable optoelectronic properties (bandgap, band position). However, the PEC properties of CPPs have not been explored so far. In this sense, HyPhoCO aims at the bottom-up development of robust, high-performance photocathodes for CO2 reduction, based on abundant and non-toxic CPPs and CPP/inorganic hybrid materials. In a fundamental research approach, the design of CO2 reduction photocathodes will be based on a thorough investigation of the electronic structure and charge transfer dynamics of the PEC CO2 reduction process.

Keywords: conjugated porous polymers,photoelectrochemistry
machine learning for Particle Physics (mPP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Switzerland
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-04-01
End date: 2023-06-30
Duration (months): 63.0
Total project cost (EUR): 1703750.0
EU funding (EUR): 1703750.0
Participants: 1
Project status: SIGNED

This project proposes to use modern Machine Learning (ML), particularly Deep Learning (DL), as a breakthrough solution to address the scientific, technological, and financial challenges that High Energy Physics (HEP) will face in the decade ahead. The quest for new physics is increasing the complexity of the experiments and, consequently, the human and financial costs to operate these detectors, with experiments facing at best flat budgets. ML offers a way out of this impasse. With the development of DL, ML has successfully addressed tasks such as image recognition and text understanding, which eventually opened the way to automatizing complex tasks. These progresses have the potential to revolutionize HEP experimental techniques. We propose to apply cutting-edge ML technologies to HEP problems, paving the way to self-operating detectors, capable of visually inspecting events and identifying the physics process generating them, while monitoring the goodness of the data, the correct functioning of the detector components and, if any, the occurrence of anomalous events caused by unspecified new physics processes. We structure the work in a set of working packages, representing intermediate steps towards this final goal. We propose to apply ML to data taking, event identification, data-taking monitoring, and event reconstruction as intermediate steps toward using these techniques for unsupervised physics searches. The project resources will by used to create a team of computer scientists, who will carry on a systematic R&D program to apply cutting-edge ML technology to HEP: reinforced learning, generative models, event indexing, data mining, anomaly and outliers detection, etc. Being hosted at CERN, the project will benefit from existing computing infrastructures, large datasets availability, the presence of local experts of each aspect of HEP, and established collaborations with private companies on hardware and software R&D.

Keywords: search for new physics,trigger,data monitoring,jet tagging