Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Mobile and wireless communications Enablers for Twenty-twenty (2020) Information Society-II (METIS-II)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Future Internet: Software, hardware, Infrastructures, technologies and services
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Germany,Germany,Germany,Germany,Spain,Italy,Taiwan, Province of China,Sweden,Finland,Poland,China,Poland,France,France,United States,United Kingdom,Japan
Call: Advanced 5G Network Infrastructure for the Future Internet (H2020-ICT-2014-2, 2014)
Start date: 2015-07-01
End date: 2017-06-30
Duration (months): 24.0
Total project cost (EUR): 7990416.25
EU funding (EUR): 7990415.5
Participants: 25
Project status: CLOSED

Key objectives of METIS-II are to develop the overall 5G radio access network design and to provide the technical enablers needed for an efficient integration and use of the various 5G technologies and components currently developed. The innovation pillars that will allow METIS-II to achieve this goal are • a holistic spectrum management architecture addressing the spectrum crunch, • an air interface harmonisation framework enabling an efficient integration of new and legacy air interfaces, • an agile Resource Management (RM) framework providing the dynamics required to efficiently adapt the integrated 5G air interfaces and radio concepts to the varying traffic demand and service requirements, • a cross-layer and cross-air-interface system access and mobility framework ensuring an ubiquitous access continuum, • and a common control and user plane framework providing the means for an efficient support of the broad versatility of services expected for 5G as well as a future-proof and cost-efficient implementation of the 5G integration. On the strategic level, METIS-II will provide the 5G collaboration framework within 5G-PPP for a common evaluation of 5G radio access network concepts and prepare concerted action towards regulatory and standardisation bodies. Based on its very strong and international consortium with partners from all regions with strong 5G R&D initiatives (EU, US, China, Japan, Korea) with most of the major international vendors, major operators, and key researchers, METIS-II will have the unique capability to drive consensus building globally, to consolidate a full picture of the needs of mobile as well as vertical industries, and to disseminate the results towards the relevant bodies, forums, and standardisation groups in all regions. The METIS-II proposal addresses the Strand “Radio network architecture and technologies” in the ICT14-2014 call in the H2020 program. METIS-II is committed to actively drive the collaboration with the 5G-PPP.

Keywords: wireless networks,mobile networks,network integration,radio resource management,scenarios,techno economics,radio access network architecture,spectrum
PYroelectric Conformable SEnsor matrix for Large area applications in security and safety (PYCSEL)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Sweden,Belgium,France,France,France,France,Netherlands
Call: Thin, Organic and Large Area Electronics (H2020-ICT-2016-1, 2016)
Start date: 2017-01-01
End date: 2019-12-31
Duration (months): 36.0
Total project cost (EUR): 3814297.5
EU funding (EUR): 3814297.5
Participants: 9
Project status: CLOSED

From government to consumer applications, personal identification is an ever increasing concern and demand. Fingerprints are the oldest and the most reliable features to be used because of their singularity and inalterability. The main goal of the PYCSEL project is to develop a low cost thin and large area fingerprint sensing surface enabling the personal identification via the development of a TOLAE technology, combining an organic sensor with a TFT matrix on a plastic foil. Based on the fact that personal recognition requires high resolution (500 dpi) and large (1 up to 4 fingers) sensors, the project focuses on the design, development and integration of a printed pyroelectric PVDF-based sensor layer on a IGZO TFT active matrix on foil and connected to an electronic driver and readout board, resulting in a thin fingerprint conformable sensor with no need for any optical bulky and/or costly extra components integration. Multiple fingerprints capture will be possible with the resulting large area hybrid system whose conformability allow easy further integration and ergonomic use especially for high growth and high value portable security uses. Therefore, it will offer differentiating properties for the portable governmental market as it will exhibit breakthrough in terms of mechanical robustness and conformability. Those advantages will also increase fingerprint sensors penetration into high volume automotive (personalized HMIs), machine tool (user-restricted HMI), buildings (access control) and consumer markets (PCs). The PYCSEL project will also entitle a transfer from LAB proof of concept to Technological validation in relevant environment. The final large area fingerprint sensor prototype will be able to acquire 4 fingers at a time, with an objective resolution of 500 dpi, and will allow the running of biometric acquisition campaigns as well as demonstration of safety control in automotive application by end-users.

Keywords: tolae large area sensors,pyroelectric sensor,biometrics,high resolution,plastic foil,safety control,flexible,conformable,fingerprint recognition,hybridization
Manufacturing of a large-scale AM component (MOnACO)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Germany,Germany,United Kingdom
Call: Optimized UHPE flow path cooling design and testing using advanced manufacturing techniques (H2020-CS2-CFP08-2018-01, 2018)
Start date: 2019-04-01
End date: 2022-09-30
Duration (months): 42.0
Total project cost (EUR): 1022392.5
EU funding (EUR): 907337.25
Participants: 3
Project status: CLOSED

AM technologies are layer-based and tool-free manufacturing processes, which represent a direct interface between the virtual product development and the real-world production of final products. As fundamental part of the “industrial internet of things” (IIoT), AM is considered to be a flexible solution for a demand-driven supply of individualized products. Especially the LBM technology is considered predestined for industrial production due to its intrinsic characteristic of processing metal additively. Moreover, physical properties similar to the ones of conventionally manufactured parts are achievable. LBM enables the flexible and fast production of near net-shape metal parts with up to 100 % density. MOnACO aims at the design optimization and successful additive manufacturing (AM) of a large-scale (diameter of 1 m) aircraft engine’s component via laser beam melting (LBM) technology. The project contains the development of new design guidelines and tools for the redesign of large-scale LBM structures and the implementation of the complete AM process chain. In accordance to the topic description (JTI-CS2-2018-CfP08-ENG-01-32 ), the approach splits into three main tasks: Component analysis, design and optimization; additive manufacturing optimization and validation; component design experimental investigation.

Keywords: additive manufacturing am laser beam melting lbm
Modeling and Simulation for Engineering Applications (SimEA)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: ERA chairs
Theme: Attracting and mobilising the best talents
Action type: Coordination and support actions
Countries involved: Cyprus
Call: ERA Chairs (H2020-WIDESPREAD-03-2017-ERAChairs, 2017)
Start date: 2019-01-01
End date: 2024-09-30
Duration (months): 69.0
Total project cost (EUR): 2499250.0
EU funding (EUR): 2499250.0
Participants: 1
Project status: SIGNED

The project Modelling and Simulation for Engineering Applications (SimEA) aims to consolidate and upgrade the Computation-based Science and Technology Research Center (CaSToRC) of the Cyprus Institute (CyI) by attracting and establishing a team of outstanding researchers, led by a Professor of international caliber to maximally utilize and upgrade the existing facilities and pursue a program of research excellence and innovation. The SimEA ERA Chair will expand the research portfolio of CaSToRC to include computation-based engineering adding the missing technology leadership, collaborate with other research groups in Cyprus, the Eastern Mediterranean (EM) and internationally, enrich the educational programs of CaSToRC and CyI and set the appropriate mechanisms to forge collaboration with industry. The alignment of these objectives with the Cyprus smart specialization strategy and European priorities in Energy, Health and Information Technologies provides previously untapped funding opportunities for CaSToRC that would help sustain the team beyond the lifetime of the project. CyI strongly supports the creation of the ERA Chair by pledging a tenured faculty position and a grant of 700,000 Euro for infrastructure upgrades to best serve the research and innovation programs of the project. The international character and interdisciplinary environment of CyI, its strong funding track record, the attractive remuneration, job security and infrastructure grant offered are key elements that conduce to attracting an ERA Chair of the highest international standing. In turn, such a scholar will build a vibrant research group, bring competitive funding and spearhead entrepreneurship and industrial collaboration consolidating CaSToRC as a hub for computational science and engineering in Cyprus and the EM in alignment with the center’s mission to help the nation transform to a knowledge-based economy and to act as a gateway for advanced computing between Europe and the EM region.

Keywords: computational engineering,multiscale modeling,high performance computing,simulation,computational fluid dynamics
Brownian Motor Based Virus Detection (MoViD)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Switzerland
Call: ERC Proof of Concept Grant (ERC-2018-PoC, 2018)
Start date: 2019-01-01
End date: 2020-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

The detection of dilute populations of nanoparticles in microfluidics is difficult due to diffusion as the time limiting step to reach the sensor. Using active transport, we propose to build a proof of concept microfluidic device that reaches sub-attomolar detection sensitivity within an hour and at a device footprint of 1 cm. The active transport enables size separation of the particles into multiple channels and up-concentration in detection reservoirs for label free detection. At the end of the process the size-separated particles can be easily extracted for further downstream processing. The applied use case is the detection and quantification of virus in drinking water, a global health-critical challenge. A viral concentration of 10-100 particles is infectious in 2l of water consumed by a person, corresponding to a concentration of 10^(-22) molar. Traditional methods rely on multiple concentration steps followed by detection using molecular and/or culture based methods. Most common are adsorption/elution assays which co-concentrate and add contaminations that interfere with the downstream detection analysis. The detection methods are also often specific for the viral type and require a priori identification of the target virus. Metagenomic sequencing allows for general identification but lacks sensitivity. The proposed method will simplify and improve the process significantly. The viruses will be concentrated without damage of the virus shell and with a high rejection of the contamination present in the sample. All virus particles will be separated and sorted according to predefined size ranges into detection compartments on the chip, allowing for a parallel and quantitative marker-less detection on a single particle level. Specific identification is possible for future devices using (integrated) molecular methods with reduced cross-contamination and without a priori virus identification.

Keywords: nanoparticle detection,brownian motors,size analysis,virus detection
BioExcel Centre of Excellence for ComputationalBiomolecular Research (BioExcel-2)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: European Data Infrastructure
Action type: Research and Innovation actions
Partnership: HPC PPP (cPPP)
Countries involved: Germany,Germany,Germany,Spain,Malta,Finland,Norway,Sweden,Netherlands,United Kingdom,United Kingdom,United Kingdom
Call: HPC PPP - Centres of Excellence on HPC (H2020-INFRAEDI-2018-1, 2018)
Start date: 2019-01-01
End date: 2022-06-30
Duration (months): 42.0
Total project cost (EUR): 7998833.75
EU funding (EUR): 7998833.75
Participants: 14
Project status: CLOSED

Life Sciences have become increasingly digital and this is accelerating. Computational techniques play key roles in processing, analysis and generating new knowledge from experiments, even in replacing them. This has been enabled due to tremendous advances in techniques such as docking and molecular simulations at both atomistic and quantum levels to which world-leading European research and software are contributing. Pushing computational capabilities towards Exascale will advance the area, enabling researchers to tackle increasingly complex questions related to biomolecules' function, mechanisms, dynamics and interactions. This will impact on our daily life, in health, for the development of new drugs and efficient drug delivery methods, in biotechnology, environment, agriculture, food industry and education. To exploit this great computational power, in academia and industry, significant efforts on software efficiency, scaling, usability and education are needed. This is the mission of the BioExcel Centre of Excellence for Computational Biomolecular Research launched in 2015 with EC support. It has made significant contributions by focusing on highest-impact European codes, workflows and an extensive, international education program. BioExcel-2 will continue and expand this work, with a focus on Exascale impact, improved usability, expanded training and commercial applications, while strengthening its user-driven governance. Specifically it will: * Push performance, efficiency, scalability and usability of the selected software packages towards Exascale in a co-design manner, contributing to the EuroHPC vision * Support convergence of HPC, HTC, and HPDA with workflows combining simulations with data management and analytics * Support and enlarge the user community by providing support, workforce development, continued training, guidance, and best practices * Develop a sustainable and open community centre with user-driven governance and clear KPIs.

Keywords: biomolecular life science,drug discovery,biotechnology,exascale,hpda
Signal Correction to Reveal other Earths (SCORE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Universe sciences
Panel description: Astro-physics/-chemistry/-biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: Switzerland
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-01-01
End date: 2024-12-31
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

Searching for life signatures on another planet is one of the key endeavours of astrophysics and today, we are in a unique position to make this possible. The TESS satellite, which just started observing, will find the first Earth-twins orbiting bright stars, which will allow follow-up studies with JWST and ELTs to characterize the atmosphere of those exoplanets. However, TESS will only measure the radius of the detected Earth-twins, which is not enough to interpret the spectroscopic features in their atmospheres. The mass is also required, and it can be obtained using the radial-velocity (RV) technique, which measures the gravitational influence of an exoplanet on its host star. To measure the mass of the Earth-twins that TESS will detect, the community have built incredible RV instruments that can reach a RV precision of 0.25 m/s (ESPRESSO commissioning). Such an extreme precision is required to measure the tiny signature of an Earth-twin, however, this is without considering the perturbing signals induced by its host star, by Earth’s atmosphere and by instrumental noise. Indeed, we know that these perturbing signals mask completely the signal induced by an Earth-twin, and now that the RV instruments have the sensitivity to detect such planets, it is urgent to develop novel methods for mitigating the different perturbing signals. Understanding the different perturbing signals is extremely challenging and require incredible data. The PI have built two telescopes that feed Sun-light into the best RV instruments. The obtained data are of exceptional quality, and the goal of SCORE is to analyse them, explore novel promising methods for mitigating the different perturbing signals and find the tiny signatures of Earth and Venus. This will open the way towards the mass-measurement of Earth-twins, which is essential in the quest for finding life elsewhere, but also to understand planetary formation and dynamics. SCORE will therefore benefit the entire planet community.

Keywords: stellar signals in radial velocity,telluric lines contamination in radial velocity,near infrared radial velocity,machine learning algorithms
Intelligent Ultraviolet (UV) Radiation Filters (SMART UV)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-12-01
End date: 2020-03-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

3 million non-melanoma skin cancers and 132,000 melanoma skin cancers occur globally each year, of which about 65% to 95% of cases are related to sun exposure and a history of sunburn. Prevention tools are shade, clothes, hats and sunscreens. Ultraviolet (UV) filters are the sunscreens active ingredients that absorb the radiation. There is no fixed time that we can be exposed to the sun without developing sunburn, it depends on the irradiation to which we are being subjected, which varies according to the time of day, latitude, season and the activity that is being done. Existing sunscreens do not adjust to the radiation dose that reaches the skin; they degrade quickly as they absorb more radiation, therefore offering less protection during a given exposure time. In addition, none of the existing filters can generate enough protection alone in one formulation; they must be formulated in combination with other UV filters to produce reach the sun protection factor (SPF).These combinations produce compounds that are responsible for the discoloration and subsequent death of corals. Roka Furadada (Roka) has developed SMART UV, intelligent UV filters that are activated by a minimal dose of harmless radiation and are able to respond to high doses of radiation while maintaining protection over long periods of time. SMART UV offers all day, sun protection of SPF 30, without the need to be combined with other filters. SMART UV filters produce significantly less environmental damage. SMART UV: Better for human health, better for the environment. Sales volume of UV filters will reach over 50,000 tons and will be equivalent to a turnover of 1,815 billion euros, with a growth of 3.1% of CAGR by 2022.

Keywords: photochemistry,skin cancer prevention,cosmetics,uv filters
Advanced Low Flying Aircrafts Detection and Tracking (ALFA)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Italy,Austria,Netherlands,Netherlands,Portugal
Call: Maritime Border Security topic 4: Detection of low flying aircraft at near shore air space (H2020-BES-2015, 2015)
Start date: 2017-01-01
End date: 2019-12-31
Duration (months): 36.0
Total project cost (EUR): 4613831.25
EU funding (EUR): 4613831.25
Participants: 10
Project status: CLOSED

The last decades witnessed the ever growing effectiveness of Europe-subsidized border protection projects like SIVE and SIVICC. As maritime smuggling from Morocco towards the European borders of Portugal and Spain was combatted more effectively, the criminal modus operandi changed drastically, approaching air routes with cheap and small planes. New drone technology opens opportunity to both manned and unmanned airborne drug transports. Launched from any location and moving at low altitude and speed to mask their presence with the present clutter environment, drones can autonomously reach any landing site under nearly all circumstances. The ALFA system bridges this detection capability gap by drastically improving the situational awareness through the detection of LSS (Low, Small and Slow) manned and unmanned aircraft. ALFA is future-ready as technologies for drone detection will be a part of the system, which will use heterogeneous, easy-to-deploy mobile sensors based on several novel technologies. All sensor data, augmented by other existing sources of information, will be combined using evolved data fusion, providing accurate positional data for targets including eventual indication of the air vehicle type and reliable prediction of its landing site. This information will be communicated to the regional law enforcement units using a secure communication link and mobile device application, drastically improving the reaction time. Final ALFA capabilities will be demonstrated in a realistic operational context using relevant targets and in close cooperation with two principal end users taking part in the consortium. With their active participation, the ALFA system will make a significant contribution to the development of EUROSUR (in particular, cooperating with SIVE and SIVICC) and be suitable for a range of other missions and scenarios such as homeland and event protection and the protection of critical infrastructure.

Keywords: landing site prediction,multi mode novel radar technologies,drug trafficking,detection of uavs,low flying aircraft,easy to deploy mobile sensors,maritime border surveillance system