Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
smart WINg panels for Natural laminar flow with functional Erosion Resistant COATings (WINNER)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Research and Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Spain
Call: Erosion-resistant functional coatings (H2020-CS2-CFP02-2015-01, 2015)
Start date: 2016-07-01
End date: 2019-12-31
Duration (months): 42.0
Total project cost (EUR): 200625.0
EU funding (EUR): 200000.0
Participants: 1
Project status: CLOSED

Surface characteristics such as smoothness and other geometrical surface are conditions that wing panels have to accomplish in order to have an aerodynamic profile for efficient wing with natural laminarity. Besides these surface and geometrical requirements there are other functionalities that are critical to the overall performance of the wing and the platform. The increasing need to reduce weight in aircrafts in order to improve fuel efficiency has promoted the adoption of lightweight materials like CFRPs which are intensively used in aeronautics applications due to their strength/weight ratio, but they suffer from rain and particle erosion from which they have to be protected. Other problem to be addressed is the ice resulting from the solidification of atmospheric moisture that becomes a problem especially on the wing leading edges. By tuning the electrical properties of the skin it is possible to obtain resistive heat de-icing systems and/or to provide the coatings with sensing features. Additionally, surface electrical properties are important in aeronautics skins for several reasons, such as lighting strike protection and EMI shielding. Thus, it is necessary for aeronautics industry to have erosion-resistant surfaces which also show anti-icing/de-icing features. Physical Vapur Deposition (PVD) based coatings are excellent candidates to be used as multifunctional coatings as they have already proven their suitability for erosion protection and the possibility to tailor the electrical properties in other applications. In this context WINNER aims to obtain multifunctional coatings having erosion resistant and tailor made electrical properties on CFRP by means of PVD processing technologies.

Keywords: erosion resistant coatings,de icicng surfaces,multifunctional coatings,wing skins
Deep Earth Elastic Properties and Effective Rheology (DEEPER)

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: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-07-30
End date: 2017-07-29
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

The interface between the Earth’s rocky mantle and molten outer core, located 2900 km below the surface, is marked by a patchwork of enigmatic structures. These structures, revealed by anomalous reductions in the speed of traveling seismic waves, are characterized by high density, partial melting, and low topographic heights (10-40 km above the core-mantle boundary). Due to the low seismic wave speeds, they are called UltraLow Velocity Zones (ULVZs). Since their ﬁrst discovery in the 90s, our understanding of the ULVZs has been based on seismic observations. The inﬂuence of microscale distribution of melt and minerals on the seismic signature and the internal structure of the ULVZs remain a challenging question in geophysics. To address this question, this project will use a cross-scale approach to quantify the inﬂuence of partial melting and solid composition on the elastic properties and rheology of the UL-VZs based on a microstructural model. Using the microscale constraints on the physical properties, the km-scale internal structure of the ULVZs will be simulated using a ﬁnite elements model. The interdisciplinary approach of this project relies on using state-of-the-art high performance computational ﬂuid mechanics models to answer fundamental questions in Earth Sciences. The uniqueness of this approach arises from the special consideration of microstructures, a crucial, but difﬁcult to quantify aspect in Earth sciences. The multidisciplinary aspect of this work will train the researcher in new modeling skills. Upon his return to India, where research in deep Earth is still in its infancy, the researcher will be able to establish his own research agenda leading the country’s effort in that area. Continued inter-national collaboration between the host institution and the researcher’s future group will be of enduring value to the EU.
Co-creating a decision support framework to ensure sustainable fish production in Europe under climate change (ClimeFish)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Italy,Iceland,Spain,Spain,Sweden,Norway,Norway,Greece,Hungary,France,Czechia,United Kingdom,United Kingdom,Canada,Viet Nam,Denmark,Faroe Islands,Chile
Call: Forecasting and anticipating effects of climate change on fisheries and aquaculture (H2020-BG-2015-2, 2015)
Start date: 2016-04-01
End date: 2020-03-31
Duration (months): 48.0
Total project cost (EUR): 5195216.0
EU funding (EUR): 5000000.0
Participants: 21
Project status: CLOSED

The overall goal of ClimeFish is to help ensure that the increase in seafood production comes in areas and for species where there is a potential for sustainable growth, given the expected developments in climate, thus contributing to robust employment and sustainable development of rural and coastal communities. The underlying biological models are based on single species distribution and production, as well as multispecies interactions. Forecasting models will provide production scenarios that will serve as input to socio-economic analysis where risks and opportunities are identified, and early warning methodologies are developed. Strategies to mitigate risk and utilize opportunities will be identified in co-creation with stakeholders, and will serve to strengthen the scientific advice, to improve long term production planning and the policy making process. ClimeFish will address 3 production sectors through 16 case studies involving 25 species, and study the predicted effects of 3 pre-defined climate scenarios. For 7 of these cases ClimeFish will develop specific management plans (MPs) coherent with the ecosystem approach and based on a results-based scheme that will allow regulators, fishers and aquaculture operators to anticipate, prepare and adapt to climate change while minimizing economic losses and social consequences. A guideline for how to make climate-enabled MPs will be produced, and published as a low-level, voluntary European standard after a consensus-based open consultation process. As a container for the models, scenarios and MPs ClimeFish will develop the ClimeFish Decision Support Framework (DSF) which also contains the ClimeFish Decision Support System (DSS); a software application with capabilities for what-if analysis and visualization of scenarios. The presence of key international stakeholders in the project will ensure quality and relevance of the project outputs thus ensuring uptake and significant impact also after project end.

Keywords: aquaculture,co creation,decision support framework,decision support tool,fisheries,forecasting,freshwater,marine,results based management,stakeholder engagement
Frequency-encoded quantum multi-photon interference devices (FrEQuMP)

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: Physics
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-12-01
End date: 2021-11-30
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: CLOSED

Optical quantum computing and quantum simulation rely on multi-photon interference effects, between many photons in a larger number of optical paths or modes. In particular in Gaussian Boson Sampling protocols, single-mode squeezed states are input to an optical circuit implementing a transformation on the modes, which creates a complex multi-mode squeezed state. Sampling from such a state with single photon detectors is thought to be an intractable problem to simulate with classical computers, and has useful applications, for instance in calculating molecular vibronic spectra and in identifying densely connected sub-graphs of a network. This motivates building quantum-optical devices to implement Gaussian Boson Sampling. However, it is resource intensive to create a usefully large state using many separate squeezed sources and a circuit, and very technically challenging to avoid photon loss and to maintain interferometric stability. Here, I propose to carry out Gaussian Boson Sampling and related experiments by directly generating multi-mode squeezed states encoded in frequency, from a single source with reconfigurable frequency correlations. Using frequency channels to represent the modes is very compact because they can all propagate along the same spatial path, and this also ensures interferometric stability. Directly generating the desired state will avoid having the photons propagate through a lossy circuit, allowing scaling to higher photon numbers, and frequency encoding will make large numbers of modes readily available, surpassing the state-of-the-art in spatially-encoded circuits.
Revolutionising the way in which parcels are delivered (Citibox)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-10-01
End date: 2021-09-30
Duration (months): 24.0
Total project cost (EUR): 2461562.5
EU funding (EUR): 1723093.75
Participants: 1
Project status: CLOSED

Parcel delivery at home still works the same way as 50 years ago. Couriers waste time running from apartment to apartment and incur huge costs in second and third attempts when users are not at home. Online shoppers are frustrated due to missed deliveries and time wasted waiting for the courier. Solutions in the market are solely company centric, installing electronic lockers in public spaces and pick-up shops, normally from a specific retailer or carrier. However, 84% of shoppers want to receive their parcels at home. Citibox solves this problem allowing all parcels to be delivered in smart mailboxes inside residential buildings. Citibox follows a fundamentally different approach: 1. Universal: any carrier can deliver into our smart mailboxes. 2. Open hardware: any mailbox manufacturer can produce their smart mailboxes compatible with our proprietary cloud operating system. 3. Scalable: extremely cost-effective hardware. No internet or electricity connection is required. Our smart mailboxes allow: - Online shoppers: Automatic reception and returns of parcels at their home, no more delays or missed parcels. - Couriers: 60% time reduction in delivery and 100% first attempt delivery. It allows night delivery, a huge business disruption: Citibox deployment includes automatic building door access system, providing increased security for tenants as all courier entries are logged. Verified couriers can enter buildings to deliver at Citibox smart mailboxes at any time of the day… and at night! No traffic + no parking problems + reduced delivery times + additional delivery windows + more parcels delivered per day = Up to 5x higher efficiency The largest courier worldwide (UPS) and the second largest in the EU (DPD Group) have already committed their support to Citibox If we successfully implement our strategy, by 2023 our network will cover +10 largest EU cities with +3M smart mailboxes installed in users’ buildings. We expect +180M€ revenue and +70M€ EBITDA in 2023.

Keywords: last mile delivery,smart mailboxes
Structural studies of mammalian Cys-loop receptors (PentaBrain)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Molecules of Life: Biological Mechanisms, Structures and Functions
Panel description: Molecular biology, biochemistry, structural biology, molecular biophysics, synthetic and chemical biology, drug design, innovative methods and modelling
Countries involved: France
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-06-01
End date: 2021-11-30
Duration (months): 78.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 2
Project status: CLOSED

In the brain, Cys-loop receptors mediate fast neurotransmission. They function as allosteric signal transducers across the plasma membrane: upon binding of one or more neurotransmitter molecules to an extracellular site, the receptors undergo complex conformational transitions that result in transient opening of an intrinsic ion channel. The Cys-loop family comprises receptors activated by serotonin, acetylcholine, glycine and GABA. Mammalian receptors are also the targets of a legion of psycho-active and therapeutic compounds (including nicotine, benzodiazepines, anti-emetics, general anaesthetics). Our structural knowledge is currently limited to invertebrate homologues. Atomic structures mammalian receptors are therefore acutely missing in order to understand their physiological role in molecular terms, and to be able to develop new drugs targeting them. The project proposes to decipher the operation mechanism, the pharmacology and conformational transitions of mammalian Cys-loop receptors. Starting with a solid body of preliminary results, we will obtain new high-resolution structures, taking advantage of antibody-based crystallization chaperones. We will try and record for the first time a ‘molecular movie’ of the gating conformational transition in cristallo. On the way, we will also investigate the potential of antibody-based modulators of Cys-loop receptors for biomedical applications. The applicant has solved in the past the structures of a bacterial Cys-loop receptor and of the mouse serotonin receptor. The proposed research will take place at the CNRS in Grenoble, France, in a very favourable environment for structural biology.
Real Organ Generation (ROG)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Italy
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-12-01
End date: 2020-05-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

MTM S.r.l has developed a game-changing platform comprising 1) an algorithm able capture 2D images and convert them into 3D geometries ( we have already validated our solution on Cardiac Imaging), in order to generate hyper realistic ( more than 10X resolution respect of the best 3D medical imaging today present in the market) models/mockups, ready to be used in VR and 3D printing allowing an unprecedent medical training approach, as well as a simulation of real patients’ condition on which perform pre-operative simulation in healthcare environment; 2) a sophisticated software able to manage multiple actions: such as loading 2D image parts produced by medical scanning devices (organs and tissues), generating 3D models from 2D images elaborated by our algorithm, enable the user (thanks to our intuitive GUI – Graphical User Interface) to visualise the 3D model, (choosing from different views, differentiate surfaces, anatomical sections, layers, regions of interests), recognising anomalies, tagging the mutations and the morphology aberrations, supporting and collecting extensive libraries of 2D images and 3D models, enabling an unprecedent new way to train students and surgeons during critical preparation to surgery. ROG’s business model. We already mapped our value chain and plan each phase of our path to exploitation. Our revenue model will be a combination based on: ROG software platform licensing and sales from personalized processing of 3D image services (The specialized paid services will instead involve the personalized processing of 3D images, the tagging performed by semi-automated expert systems and the possibility of having training sessions on the platform). As a result of the maturation strategy and the higher potential value of our system, we will see growth in revenues and profits that will enable us to increase our headcount to 12 by 2026 with a raw return on investment (RoI) of 2.29%.
A2Miro Solution: a fully automated inspection system by our SensorCopter that reduces WTs downtime (A2Miro)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Austria
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-11-01
End date: 2023-04-30
Duration (months): 42.0
Total project cost (EUR): 2220652.5
EU funding (EUR): 1554456.75
Participants: 1
Project status: SIGNED

Offshore Wind is a promising source of energy to accelerate world’s transition to a fossil-free future. However, a pain point hinders industry’s efforts to reduce the cost of offshore wind : inefficient inspection methods for the rotor blades. Currently, industrial climbers use ropes to climb to the rotor blades to perform the inspection 100m above sea, withstanding harsh conditions. Apart from being extremely dangerous, this method is time-consuming, costing: the European offshore wind industry suffers from €75 million in production loss due to downtime per year by 2030. Leveraging our asset management technology in onshore wind, we have an ambitious plan to expand our offering to the offshore wind industry. A2MIRO helicopter autonomously inspects the offshore turbine and its’ Sensor Head combines visual and infrared cameras to detect defects as small as 0.5mm. Our data analysis software is equipped with machine learning technology to provide our customers deep knowledge about future maintenance needs. A2MIRO’s autonomous inspection capabilities reduce turbine’s downtime, generating cost savings of about €35 million for the offshore wind industry, while enabling the generation of 249,550 MWh additional wind energy. This can power 66,001 households and help avoiding 114,793 tonnes of CO2 emissions. A2MIRO drastically increases HSE in the field as it lowers the need for rotor blade access. With a feasibility plan developed under a Ph1 grant, we now seek a Ph2 grant to fine-tune our helicopter for offshore use, optimise its’ telemetry system, get the official flight allowance and test it in offshore wind farms. By commercialising A2MIRO in Europe and across the world, we will grow our business by €8 million in cumulative net profits by 2030, generating 17 job positions in our company. Increasing the HSE standards in this business and this cash-flow is vital to keep improving our proprietary technology to enable Europe to remain the offshore wind global leader.

Keywords: wind turbine maintenance,predictive maintenance,mechanical engineering
Maltese-European Linkages for Internationalisation, Innovation and Technology Transfer 4 (MELIITA 4)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Malta
Call: H2020 ENTREPRISE EUROPE NETWORK SGA4 2020-2021 (H2020-EEN-SGA4-2020-2021, 2019)
Start date: 2020-01-01
End date: 2021-12-31
Duration (months): 24.0
Total project cost (EUR): 37360.0
EU funding (EUR): 37360.0
Participants: 4
Project status: CLOSED

This proposal addresses the growth-oriented business support services that will result in improved competitiveness and access to markets for EU enterprise. These services are as stipulated by the H2020 Adhoc Consultation call issued by the European Commission and will be implemented throughout 2020-2021 by the Network in Malta, in full synergy and complementarity with the other work packages supported by the relevant and concurrent COSME call for the Enterprise Europe Network. The MELIITA 4 proposal is to support the smart growth of the Maltese SMEs by increasing the efficiency and effectiveness of investments in research development and innovation, develop innovative projects with strong European or international potential, and to contribute to a better and more efficient connection of stakeholders and players along the innovation chain. By combining the actions under this H2020 programme with the support being offered under COSME, the Network will be best positioned to offer both business and innovation support along the entire value chain. The MELIITA 4 proposal namely aims to: • Enhance innovation management capacity and identify weaknesses, thus rendering more efficient the full innovation process of Micro and SMEs, irrelevant of benefitting from the EIC Pilot, and to help potentially good ideas effectively reach the market. • Strengthen innovation capacity and to ensure Maltese beneficiaries of the EIC Pilot receive the most appropriate support services based on identified weaknesses in their innovation capacities and so encourage the successful exploitation of their innovation project and to induce sustainable growth beyond the programme period, and • Create a more innovative, competitive business community on a national basis.

Keywords: innovation,technology,access to finance