Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Lightning Interception Blade Implant (LIBI)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Denmark
Call: Stimulating the innovation potential of SMEs for a low carbon and efficient energy system (H2020-SMEINST-2-2016-2017, 2016)
Start date: 2016-06-01
End date: 2018-11-30
Duration (months): 30.0
Total project cost (EUR): 1180146.0
EU funding (EUR): 826102.0
Participants: 1
Project status: CLOSED

Global Lightning Protect Services (GLPS) is a technology developing and engineering company specialized in lightning protection design and associated verification testing – which core business is providing specialised services to manufacturers, sub-suppliers and plant operators, in developing the most feasible and suitable lightning protection solutions (LPS) for diverse applications. After completing with success the SME Phase 1 project, we have decided to proceed to Phase 2 based on the positive evaluation of the business opportunity around our newest LPS concept – the Lighting Interception Blade Implant (LIBI). Currently, all blade manufacturers (OEM) are required to install LPS in their structures and the traditional approaches to develop high-end LPSs (also at GLPS) are case-specific, labour intensive and very costly. Very often, cost-oriented blade producers adopt low-cost solutions compromising the ‘in-field’ efficiency of the LPS in protecting the blade against lighting strikes. Our new product has been designed to disrupt with competing products in terms of costs, delivery time and performance. The technology is based on a patent pending pre-designed, pre-manufactured, tested and verified LPS, which GLPS can easily and cost-efficiently apply to all design geometries in a very short time – and deliver it to blade manufactures as a ready-to-install kit. The LIBI has the potential to be a market reference product bringing benefits to OEM/blade producers and wind turbine owners, who will have access to a certified and cost-competitive LPS. The wide deployment of LIBI will also contribute for lower CoE in full, reflecting benefits for society and environment. At GLPS, LIBI will enable us to position the company as market leaders and full product suppliers which will boost our business performance – and at the same time, bringing even more high level jobs to EU as well as work for out sub suppliers.

Keywords: wind power turbine blades,lightning protection
Renewable Electricity-based, cyclic and economic production of Fuel (EcoFuel)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Alternative fuels and mobile energy sources
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Austria,Austria,Hungary,France,United Kingdom,United Kingdom
Call: Development of next generation renewable fuel technologies from CO2 and renewable energy (Power and Energy to Renewable Fuels) (H2020-LC-SC3-2020-RES-RIA, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 4858547.5
EU funding (EUR): 4858547.5
Participants: 9
Project status: SIGNED

The collaborative project EcoFuel addresses the Topic “Development of next generation renewable fuel technologies from CO2 and renewable energy (Power and Energy to Renewable Fuels)” under the call Building a low-carbon, climate resilient future: Secure, clean and efficient energy. EcoFuel develops and demonstrates a novel thorough process chain that significantly improves the energy efficiency for production of synthetic fuel out of CO2 and water using renewable energy. The process chain comprises a) the supply of CO2 from the atmosphere via a novel direct air capture approach, b) direct electro-catalytic reduction of CO2 to C2/C3 alkenes at close to ambient temperatures, and c) thermo-catalytic liquefaction of alkenes, upgrading and fractionation into transport fuels. The direct electro-catalytic CO2 reduction to hydrocarbons offers greatly enhanced efficiency potentials compared to Power-to-X technologies downstream of water electrolysis and at the same time, reduces process pathway steps. Process performance will be validated by in-depth impact assessment. The EcoFuel approach will bring together chemists, physicists, engineers and dissemination and exploitation experts from 4 universities/research institutions, 2 SMEs and 3 industries, innovatively joining their key technologies to develop and exploit a novel complete process chain, based on the power of electrochemistry to deliver truly green (CO2 neutral) fuels with an unprecedented overall energy efficiency. Within 36 months project duration, the EcoFuel technology will undergo a thorough material and component R&D programme and together with its significant industry involvement this project will be set on unique path toward new technology developments up to TRL 4 that will have lasting impact on the European renewable energy system.

Keywords: renewable fuels dac electro dialysis co2 conversion electro catalytic electrolyser thermo catalytic alkene to gasoline low emission fuels fuel qiualification lca
The next-generation heart pump to change patients’ lives and create a new standard of care (Calypso)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: France
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2020)
Start date: 2020-10-01
End date: 2023-09-30
Duration (months): 36.0
Total project cost (EUR): 3565250.0
EU funding (EUR): 2495675.0
Participants: 1
Project status: SIGNED

Advanced heart failure (HF) is a deadly disease, with a booming incidence driven by durable socio-demographic trends. Left ventricular assist devices (LVADs) are a life-saving therapy for advanced HF patients and represent a billion-euro market. However, only 13% of the 60,000 eligible patients are implanted with current LVADs each year, due to the extremely high rate of severe adverse events (stroke, bleeding, infection) and the limited quality of life. CorWave is an innovative French SME created in 2011 with a mission to create a new standard of care for advanced HF patients. The company is developing a game-changing LVAD, which relies on a unique and patented breakthrough technology, the wave membrane. Unlike all current devices, which are continuous-flow rotary pumps, CorWave LVAD is a smart pump producing a physiologic and pulsatile blood flow, to restore a normal life to patients with minimal side effects. CorWave LVAD will cut in half severe complications and rehospitalisation costs. CorWave projects to take over 60% of the market and reach up to €1.1 billion of turnover in 2030, by taking advantage of the LVAD market structure, which is very favourable to new entrants (concentrated on a few centres), and by increasing the penetration rate. We have built a team of 50 experienced people, including world-class experts, and have gained a strong market traction. The clinical centres who support us through letters of intent are worth >25% of the European market. We partner with a network of industrial suppliers and have our own pilot production unit to manufacture prototypes that have proved successful in preclinical studies. Thanks to EIC Accelerator, CorWave will transform a very promising preclinical prototype (TRL 6-7) into an industrial CE-marked medical device (TRL 8-9) that patients, clinicians and payers are waiting for. EIC Accelerator would place CorWave on a trajectory to become a global medtech leader with an outstanding socioeconomic impact on the EU.

Keywords: life saving medicine,physiology,non communicable diseases,heart failure,transplantation,blood heart,pump mechanical engineering,bioengineering,fluid mechanics,implantable,algorithms,medtech,deep,tech
Spin-selective chiral nano-cages for molecular spintronics (SPINCS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Germany,United States
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-03-01
End date: 2025-02-28
Duration (months): 36.0
Total project cost (EUR): 246669.12
EU funding (EUR): 246669.12
Participants: 2
Project status: CLOSED

Conventional electronics employs the electron’s charge to process information. An alternative route is to utilise its spin instead, promising for realising equivalent devices that operate far more energy-efficiently, but also paving the way for entirely new applications like non-volatile memory or quantum computing. Previous attempts to realise such spintronics platforms were based on inorganic magnetic materials, often requiring very low temperatures and highest material purities that involve energy-extensive fabrication processes. Within this highly interdisciplinary project, I will explore an entirely different avenue towards spin-control which is based on the concept of chirality in novel molecular self-assemblies. Together with experts in synthetic chemistry, I have designed supramolecular cages that are chiral and can also encapsulate smaller molecules inside. Upon excitation with light, an electron can be transferred from the host to the guest, and with it the desired spin based on the chosen handedness of the molecules. This enables spin storage or switching and thus to encode information. To this end, I will combine time-resolved optical and electron spectroscopy to unravel the mechanism of chirality-induced spin-selectivity in such supramolecular structures, and then employ it for spin-dependent charge transfer from host to guest, tunable through spin-orbit coupling of the chosen building blocks. As such, I will exploit the versatility of a chemical bottom-up approach combined with light-matter interactions for the first time in chiral supramolecular nanostructures for unprecedented optical spin control, dictated by molecular design. This research will open up the path to molecular spintronics applications like memory storage, sensors or logic devices for quantum computing.

Keywords: optoelectronics,molecular electronics,organic spintronics,spectroscopy,self assemblies,nano structures
Adopting open innovation 2.0 by integrating responsible innovation for sustainability (OpenInnovationImpact)

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: Economic Sciences
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-11-01
End date: 2019-10-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Due to both academic and family commitments over the coming year 1st October 2017 is the chosen indicative start date for this project

Keywords: open innovation 2 0,responsible innovation,sustainability
Coordinating an Observation Network of Networks EnCompassing saTellite and IN-situ to fill the Gaps in European Observations (ConnectinGEO)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Developing comprehensive and sustained global environmental observation and information systems
Action type: Coordination and support actions
Countries involved: Austria,Spain,Italy,Italy,Germany,Germany,Spain,Belgium,Norway,France,Netherlands,United Kingdom
Call: Coordinating European Observation Networks to reinforce the knowledge base for climate, natural resources and raw materials (H2020-SC5-2014-one-stage, 2014)
Start date: 2015-02-01
End date: 2017-01-31
Duration (months): 24.0
Total project cost (EUR): 999995.94
EU funding (EUR): 999995.94
Participants: 16
Project status: CLOSED

ConnectinGEO’s primary goal is to link existing coordinated Earth Observation networks with science and technology (S&T) communities, the industry sector and the GEOSS and Copernicus stakeholders. The aim is to facilitate a broader and more accessible knowledge base to support the needs of the GEO Societal Benefit Areas (SBAs) and their users. A broad range of subjects from climate, natural resources and raw materials, to the emerging UN Sustainable Development Goals (SDGs) will be addressed. A tangible outcome of the project will be a prioritized list of critical gaps within the European Union in observations and the models that translate observations into practice-relevant knowledge. The prioritized list will include the research activities required to address these gaps. Ultimately, this will increase coherency of European observation networks, increase the use of Earth observations for assessments and forecasts and inform the planning for future observation systems through a sustainable approach that will survive beyond the end of this project. ConnectinGEO has 4 major objectives: a) Enable a European Network of Earth Observation Networks (ENEON) including space-based, airborne and in-situ observations networks. b) Provide a methodology to convert the knowledge needs into a coherent observation and measurement compendium for ENEON strategy and development. c) Apply the ConnectinGEO methodology to identify and assess the priority of gaps. d) Open the results of the project and exploit them beyond the project end.

Keywords: geoss,earth observation,sustainable development goals,network
Beyond the blob: characterizing Prefrontal Cortex networks in prediction and motivation with simultaneous EEG-fMRI recordings (PreMotive)

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: Social Sciences and Humanities
Countries involved: Netherlands
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-08-01
End date: 2019-02-21
Duration (months): 24.0
Total project cost (EUR): 165598.8
EU funding (EUR): 165598.8
Participants: 1
Project status: CLOSED

Neural correlates of goal-directed behavior have been extensively studied with functional Magnetic Resonance Imaging (fMRI). This has allowed identifying the functional specialization of subregions in prefrontal cortex (PFC). In particular, medial PFC (MPFC) is involved in error monitoring, cognitive control, reward prediction and motivation, while dorsolateral PFC (DLPFC) supports working memory and goal-maintenance. Though useful, such characterization has neglected one fundamental aspect: network interactions. A mechanistic understanding of how MPFC and DLPFC interact in orchestrating goal-directed behavior is still lacking. Both regions seem to be involved in both prediction and error signalling mechanism, and in motivation-driven task-preparation. To date, no theoretical account has reconciled these findings, nor explained how MPFC and DLPFC interact in producing such effects. Here we propose a novel framework, where error signals generated by MPFC train error representations in DLPFC. These representations are reactivated when the same circumstance recurs and drive proportional MPFC involvement to prevent the error from happening again (by deploying adequate neural resources). The goal of the project is to test this theory by combining the excellent spatial resolution of fMRI with the excellent temporal precision of EEG in conjunction with precise quantitative predictions based on computational models of PFC. Simultaneous EEG-fMRI recordings will allow testing PFC network dynamics, both in a simple sensory prediction paradigm, and in a paradigm modulating motivation, aiming at demonstrating a shared underlying principle. This research programme will provide a neurofunctional characterization of how PFC network interactions drive goal-directed behaviour in both prediction and motivated task engagement. This work has important implications for future studies on PFC both in healthy subjects and in patients with motivation disorders.

Keywords: cognitive neuroscience,simultaneous eeg fmri,mpfc,dlpfc,prediction,motivation,error,computational modeling,network
Advanced Reduced Order Methods with Applications in Computational Fluid Dynamics (AROMA-CFD)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Italy
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-05-01
End date: 2022-04-30
Duration (months): 72.0
Total project cost (EUR): 1656579.0
EU funding (EUR): 1656579.0
Participants: 1
Project status: CLOSED

The aim of AROMA-CFD is to create a team of scientists at SISSA for the development of Advanced Reduced Order Modelling techniques with a focus in Computational Fluid Dynamics (CFD), in order to face and overcome many current limitations of the state of the art and improve the capabilities of reduced order methodologies for more demanding applications in industrial, medical and applied sciences contexts. AROMA-CFD deals with strong methodological developments in numerical analysis, with a special emphasis on mathematical modelling and extensive exploitation of computational science and engineering. Several tasks have been identified to tackle important problems and open questions in reduced order modelling: study of bifurcations and instabilities in flows, increasing Reynolds number and guaranteeing stability, moving towards turbulent flows, considering complex geometrical parametrizations of shapes as computational domains into extended networks. A reduced computational and geometrical framework will be developed for nonlinear inverse problems, focusing on optimal flow control, shape optimization and uncertainty quantification. Further, all the advanced developments in reduced order modelling for CFD will be delivered for applications in multiphysics, such as fluid-structure interaction problems and general coupled phenomena involving inviscid, viscous and thermal flows, solids and porous media. The advanced developed framework within AROMA-CFD will provide attractive capabilities for several industrial and medical applications (e.g. aeronautical, mechanical, naval, off-shore, wind, sport, biomedical engineering, and cardiovascular surgery as well), combining high performance computing (in dedicated supercomputing centers) and advanced reduced order modelling (in common devices) to guarantee real time computing and visualization. A new open source software library for AROMA-CFD will be created: ITHACA, In real Time Highly Advanced Computational Applications.

Keywords: reduced order modelling,reduced basis methods,proper orthogonal decomposition,optimal flow control,shape optimization,parametrized pdes,inverse problems,uncertainty quantification
next Generation AutomotIve membrane electrode Assemblies (GAIA)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Public-private partnerships
Destination: Fuel Cells and Hydrogen
Action type: Research and Innovation actions
Partnership: FCH2 (Art-187)
Countries involved: Germany,Germany,Germany,Germany,Germany,Germany,France,France,Czechia,United Kingdom
Call: Next generation automotive MEA development (H2020-JTI-FCH-2018-1, 2018)
Start date: 2019-01-01
End date: 2022-06-30
Duration (months): 42.0
Total project cost (EUR): 4493025.0
EU funding (EUR): 4493025.0
Participants: 13
Project status: CLOSED

GAIA has the overall aim of developing high power and high current density automotive MEAs well beyond the current state of the art up to TRL5. This project, encompassing OEMs, leading industrial and academic/research organisation/research institute partners with long expertise in fuel cell science and technology, and building on best developments from the FCHJU, will not only provide significantly higher performance MEAs but will also ensure the designs satisfy the cost, durability and operational targets set by the call. Accordingly, the specific objectives of the project are to: - Develop world-leading components (electrocatalysts, membranes, gas diffusion and microporous layers) and improve the interfaces between them to minimise resistances; - Realise the potential of these components in next generation MEAs showing a step-change in performance that will largely surpass the state of the art by delivering a beginning of life power density of 1.8 W/cm2 at 0.6 V; - Validate the MEA performance and durability in full size cell short stacks, with durability tests of 1000 h with extrapolation to 6,000 h; - Provide a cost assessment study that demonstrates that the MEAs can achieve the cost target of 6 €/kW for an annual production rate of 1 million square metres.

Keywords: ionomer,membrane,catalyst,catalyst support,catalyst layer,component integration,interfaces,short stack,testing,costing,activity,performance,stability,durability
Advanced prediction models for flexible trajectory-based operations (ADAPT)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Single European Sky Air Traffic Management Research
Action type: Research and Innovation actions
Partnership: SESAR (Art-187)
Countries involved: Italy,Italy,Italy,Netherlands,United Kingdom
Call: Optimised ATM Network Services: TBO (H2020-SESAR-2016-2, 2016)
Start date: 2018-01-01
End date: 2019-12-31
Duration (months): 24.0
Total project cost (EUR): 997250.0
EU funding (EUR): 997250.0
Participants: 5
Project status: CLOSED

The ADAPT project proposes strategic models to predict the volume, flexibility and complexity of traffic demand considering both individual flights and network infrastructure (i.e. sectors and airports). These models are conducive to trajectory-based operations and are expected to provide benefits for all stakeholders: air navigation service providers could adjust their service provision, while airspace users would know in advance how much flexibility around the agreed trajectories they have to efficiently adjust the execution of their operations. At the strategic level, the impact of early flight information sharing on the identification of potential network bottlenecks and the degree of flexibility of all flights will be determined. At the tactical level, the extent to which strategically assessed pre-departure and en-route flight flexibility mitigates actual network congestion, will be evaluated. To this end, novel models and metrics will be used to quantify potential traffic congestion and flight flexibility. The identified critical elements (i.e., sectors, airports, and flights) will be a starting point for possible resource allocation adjustment scenarios (e.g. adding capacity, introducing pricing mechanisms to alleviate demand-capacity imbalances at the strategic level, speed corrections at the tactical level) for enhanced ATM performance. In order to demonstrate the operational advantages (e.g. reduced operational costs) of the use of ADAPT models, they will be tested and validated through several scenarios. A key element of a project is a continuous consultation process through the establishment and close collaboration with an Advisory Board, composed of interested stakeholders.

Keywords: flight flexibility,hotspot strategic planning,economic risk