Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Modern Pattern Matching (MPM)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Israel
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2017-07-01
End date: 2025-08-31
Duration (months): 98.0
Total project cost (EUR): 1994609.0
EU funding (EUR): 1994609.0
Participants: 1
Project status: SIGNED

The advances in technology over the last decade and the massive amount of data passing through the internet has intrigued and challenged computer scientists, as the old models of computation used before this era are now less relevant or too slow. New computational models have been suggested to tackle these technological advances. In the most basic sense, these modern models allow one to scan the input only once, possible with small auxiliary memory. Nevertheless, modern techniques have also been introduced such as sparse recovery which has proven to be a very useful tool for dealing with modern challenges, and the very popular notion of conditional lower bounds which has provided evidence of hardness for various algorithmic tasks based on very popular conjectures. Pattern matching plays a crucial role in many computing applications that can be seen in day to day life. However, its research community has only recently started gaining insight on what can be done in modern models, and is lagging behind in this respect. In particular, there are no algorithms for pattern matching problems that have utilized ideas from sparse recovery, and only recently has there been progress in proving conditional lower bounds for string problems. Furthermore, conditional lower bounds suffer from the lack of hardness conjectures which address time/space tradeoffs. This proposal will close this gap for many important pattern matching problems within the new models of computation, and will be the first to utilize modern algorithmic techniques, such as sparse recovery, and adapting them into the pattern matching world. Furthermore, this proposal will focus on developing a theory for proving conditional time/space lower bounds, based on new hardness conjectures. This will greatly influence not only the pattern matching sub-field, but the entire algorithmic field at large.

Keywords: pattern matching,indexing,dictionary matching,streaming algorithms
Fabrication of Lightweight Aluminium Metal matrix composites and validation In Green vehicles (FLAMINGo)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Innovation actions
Partnership: EGVI (cPPP)
Countries involved: Italy,Germany,Spain,Italy,Austria,Belgium,Greece,United Kingdom,United Kingdom,Portugal
Call: Advanced light materials and their production processes for automotive applications (H2020-LC-GV-2020, 2020)
Start date: 2021-02-01
End date: 2025-01-31
Duration (months): 48.0
Total project cost (EUR): 5276597.03
EU funding (EUR): 4445411.25
Participants: 13
Project status: SIGNED

FLAMINGo will propose a novel industrial manufacturing route for the efficient production of high performance lightweight Aluminum composite materials thanks to a novel metallurgical and forming combined approach for making automotive parts. The intensification of use of the Aluminium composites will be driven mainly by the battery-electric vehicle (BEV) technology that are forcing automakers to look for innovative ways to lightweight the vehicles. The goals of FLAMINGo will be related to the manufacturing of a strengthened Aluminium Metal Matrix Composites Al-MMC with elevated properties (+200% strength and +30% stiffness) compared to current Al alloys used in automotive. FLAMINGo will provide engineering solutions to substitute steel components in BEV automotive parts and achieve a substantial reduction of weight (up to 20%). To reach these goals the project will target the following development steps at prototype and full scale: # The production of nanoparticles concentrated masterbatches of Al-MMC, via solid state mechanical alloying, to assure a complete dispersion of the nanoparticles in the Al metal before inoculation in the melt # Casting of Al-MMC components by inoculating the masterbatch in an Al melt, and homogenized by ultrasonication and electromagnetic stirring systems # Production of smaller components (brackets and connectors) by Low Pressure Die Casting LPDC and bigger components, like subframes, by Green Sand Casting to demonstrate broader feasibility and applicability of Al-MMC. # Extrusion of cast billets for making profiles for the body frame # Identification of the welding techniques for joining Al-MMC components, and assessment of the application via TIG, GTAW and RSW. # Use of these components for substitution of steels and aluminium parts in electric vehicles, validation of components estimated service life and installation on vehicles. # Recycling of Al-MMC components supported also by the use of secondary aluminium in the formulation

Keywords: aluminium,metal matrix nanocomposites,extrusion,casting,mechanical alloying,recycling
Low cost solar energy conversion to electricity (LC-SOLAR)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Israel
Call: ERC Proof of Concept Grant (ERC-2018-PoC, 2018)
Start date: 2018-08-01
End date: 2020-01-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Replacing fossil-fuels with solar energy in electric power generation is one of the most important challenges to humanity. From an economic point of view, the important parameter is the Levelized Cost of Electricity (LCOE), or Levelized Energy Cost (LEC), which is the net present value of the unit-cost of electricity over the lifetime of an energy generating asset. The minimally expected LCOE for any solar energy system in 2030 is 0.045 [€/kWh], similar to today's Photovoltaics (PV) LCOE, and at the same level as fossil-fuels. In this proposal, we aim to demonstrate a Proof of Concept [PoC] for a low-cost CPV operating at LCOE of 0.025 [€/kWh] (50% reduction of PVs today). The proposal is a direct continuation of our ERC project on new thermodynamic ideas for solar cells, where we demonstrated that; In contrast to thermal emission, photoluminescence (PL) rate is conserved when the temperature increases, while each photon is blue-shifted (photon-energy increased). We also demonstrated how such Thermally Enhanced-PL (TEPL) generates more energetic photons, by orders of magnitude, than thermal emission at similar temperatures. These findings show that PL is an ideal optical heat pump, and can harvest thermal losses in photovoltaics with a theoretical maximal efficiency of 70%, and a practical device/solution that can reach 48% efficiency. In our preliminary unpublished work, we demonstrate 42% TEPL efficiency compared to an ideal-PV. The challenge in this PoC is to demonstrate photon recycling, photon management, and thermal management, where the maximum of the PL is converted to electricity in an operating PV. We also performed a detailed breakdown of the costs related to TEPL based device. Based on our cost analysis, achieving 32% total conversion efficiency without a cooling system supports LCOE of 0.025 [€/kWh], which will significantly accelerate the usage of renewable energy.

Keywords: solar energy,photoluminescence,photovoltaics,thermodynamics of radiation
Progress novel assets (one FIH start) for non-tubercular mycobacteria that may act synergistically with bedaquiline and cytochrome bc drugs (RespiriNTM)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Public-private partnerships
Destination: Innovative Medicines Initiative 2
Action type: Research and Innovation actions
Partnership: IMI2 (Art-187)
Countries involved: Austria,Belgium,Belgium,France,France,Netherlands,Netherlands,Denmark
Call: Progress novel assets (one FTIH start) for non-tubercular mycobacteria (NTM) that may act synergistically with bedaquiline and cytochrome bc drugs (H2020-JTI-IMI2-2018-16-single-stage, 2018)
Start date: 2019-05-01
End date: 2025-04-30
Duration (months): 72.0
Total project cost (EUR): 8060640.75
EU funding (EUR): 5687983.75
Participants: 9
Project status: SIGNED

Non-tuberculous mycobacteria, such as Mycobacterium avium complex (MAC) and Mycobacterium abscessus, cause lung diseases resembling TB, mainly in immune-compromised patients or patients suffering from other lung diseases (e.g. cystic fibrosis). The incidence and prevalence of lung diseases caused by NTM are increasing worldwide. Importantly, in the US and Japan, as well as in other areas of the world where TB has declined, NTM disease is already at least three times more prevalent than TB. Treatment of NTM diseases relies on antibiotic combinations, however the drugs active against NTM are rather few and mainly different than those active against TB. These NTM treatments for the most common species (MAC and M. abscessus) are much less active than the current anti-TB regimen is for TB treatment. It is often necessary to administer antibiotic combinations for at least 12-24 months. The long and complex drug regimen that is currently recommended as a treatment against NTM-caused diseases carries the risk of inducing resistance in NTM. Several studies have already shown the existence and emergence of multidrug resistant NTM. The overall objective of RESPIRI-NTM is to find new drug candidates as potential components of a new, more efficient combination drug regimen against NTM that is less prone to resistance and allows shortening of treatment duration for NTM and multidrug-resistant NTM. Such a drug combination will synergistically target the energy metabolism of NTM or complementary targets. To achieve this, we will advance recently discovered inhibitors of the mycobacterial respiratory pathway. In addition, we will perform a novel, phenotypic screen in order to identify novel targets in NTM. Finally, we will also target host-factors that are essential for the intracellular survival of NTM. Together, we present a comprehensive plan to find novel strategies to combat non-tuberculous mycobacteria, shorten treatment time and reduce chances of drug resistance.

Keywords: high throughput screening,structural biology,host directed target,mycothione reductase
Intelligent Verification/Validation for Extended Reality Based Systems (iv4XR)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Sweden,France,France,Czechia,Netherlands,United Kingdom,Portugal
Call: Interactive Technologies (H2020-ICT-2018-3, 2018)
Start date: 2019-10-01
End date: 2022-12-31
Duration (months): 39.0
Total project cost (EUR): 3725337.5
EU funding (EUR): 3725337.5
Participants: 9
Project status: CLOSED

“Extended Reality” (XR) systems are advanced interactive systems such as Virtual Reality (VR) and Augmented Reality (AR) systems. They have emerged in various domains, ranging from entertainment, cultural heritage, to combat training and mission critical applications. The development and authoring of such systems is an iterative process that also includes quality assurance to make sure that the resulting systems are correct and delivering a high quality user experience. As the complexity of these systems keeps increasing, the XR industry now finds itself confronting a soaring engineering challenge: paradoxically, XR’s fine grained and high level of interactivity and realism make such systems very hard and expensive to test. The current XR authoring and development toolset poses no XR testing technology beyond rudimentary record and replay tools that only work for simple test scenarios. This project aims to build a novel verification and validation technology for XR systems based on techniques from AI to provide learning and reasoning over a virtual world. With this technology XR developers can deploy powerful test agents to automatically explore and test the correct parameters of their virtual worlds as they iteratively develop and refine them. In addition, user experience is an equally important aspect for all XR systems. We will therefore also develop socio-emotional AI to enable test agents to conduct automated assessment of the quality of user experience and parameterization by different demographic and socio economic types, such as male, female, young, and elderly. This project will be carried out by a team consisting of four companies (large and SMEs) representing the XR industry, two universities, and two research institutes. The team combines decades of expertise in advanced interactive systems, AI, and software engineering.

Keywords: software testing,user experience,quality assurance,extended reality
UNDERSTANDING CHARGE, MASS AND HEAT TRANSFER IN FUEL CELLS FOR TRANSPORT APPLICATIONS (CAMELOT)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
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,Sweden,Norway,France,United Kingdom
Call: Towards a better understanding of charge, mass and heat transports in new generation PEMFC MEA for automotive applications (H2020-JTI-FCH-2019-1, 2019)
Start date: 2020-01-01
End date: 2023-12-31
Duration (months): 48.0
Total project cost (EUR): 2295783.5
EU funding (EUR): 2295783.5
Participants: 10
Project status: SIGNED

The CAMELOT proposal brings together highly experienced research institutes (SINTEF, IMTEK), universities (TUC), fuel cell MEA suppliers (JMFC) and transport OEMs (BMW, FCP) to improve understanding of the limitations in fuel cell electrodes. Based on previous FCH2JU projects, the consortium is uniquely positioned to investigate ultra-thin, ultra-low loading layers needed for the next generation of MEAs. CAMELOT will use a combination of numerical modelling and advanced in situ characterisation to build a scientific understanding of the limitations on state of the art MEAs. Camelot will update an open source simulation tool (FFC) to accurately describe the charge, mass and heat transport mechanisms in SOA materials with the latest MEA designs. This tool will enable the partners to investigate the impact of new MEA designs at the single repeat unit level, providing guidance on the next generation of MEA enabling the performance required by the 2024 MAWP. The presence of two OEMs and an MEA manufacturer will ensure that the modelling results are validated on the latest generation of fuel cell hardware and are directly exploitable by the industry. Dissemination will also play an important role thanks to the use of an open source model, meaning that the scientific developments in the project will be easily available for the global fuel cell community to exploit.

Keywords: membrane electrode assembly,modelling,in situ testing,characterisation
Space Data Gateway (SDG)

Framework: Horizon 2020 — Industrial Leadership
Action type: Innovation actions
Countries involved: Italy,Belgium,Bulgaria,Greece
Call: Fast Track to Innovation (FTI) (H2020-EIC-FTI-2018-2020, 2019)
Start date: 2019-10-01
End date: 2021-09-30
Duration (months): 24.0
Total project cost (EUR): 2845001.25
EU funding (EUR): 1991500.88
Participants: 5
Project status: CLOSED

Space Data Gateway (SDG) is an Intelligent NanoSat Communication service in Low Earth orbit (LEO), capable of transmitting on-demand space data (speeds of data transmission of 150 Mbps and above) at a fraction of the cost (as low as 5 EUR per GB). The main innovation is the capability for NanoSats to interconnect in LEO by using SDG satellite communication modules and antennas and transmit up-to 50x more data per mission. The proposed service will enable the user to have plug & play satellite communication system and AI-based autonomous mission operations capability, as well as cloud-based Digital Mission Control. This will reduce the price of NanoSat missions by 65% on average and at the same time lower the complexity of the satellite communications and increase the volume of the space data transmitted. Having on-demand access to a given LEO satellite makes its operations much safer and redundant. The successful implementation of SDG data service will result in acquiring hundreds of terabytes of space data per year from NanoSats. This will have positive impact on educational, science and commercial space missions’ outcome while also guaranteeing stable recurrent cashflow for the service. The initial commercialisation estimates are for up-to 50 new satellite customers per year. The service will also have strategic value to EU – enabling unique satellite data network solution for all European entities and ensuring that Europe will lead in LEO space missions on commercial and science-level. The solution will open the door for next generation of European innovators to access LEO space data faster and commercialize it directly in non-space industries. SDG service will enable NanoSats with diverse missions to connect and empower the first common satellite network in LEO.

Keywords: innovation,space technologies,plug and play,satellite data services,inter satellite in space communication,digitalisation,constellation,space infrastructure,earth observation,mission control
Peri-Ocularly Navigated Exteroceptive Snake Robot for Novel Retinal Interventions (PIONEER)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: United Kingdom,United Kingdom
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-04-01
End date: 2023-03-31
Duration (months): 72.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 970909.6
Participants: 2
Project status: SIGNED

Intraocular treatments require manipulation of structures with dimensions comparable to hand tremor. The demanded dexterity, coupled with reduced haptic and depth perception, calls for robotic assistance. Despite notable benefits, existing robots are not clinically disruptive but follow well-trodden intervention protocols with significant limitations, e.g. lack of flexibility at the scleral incision and limited manipulation bandwidth, as to avoid scleral, lens, and retinal damage. Robotics also does not obviate the prerequisite of the risky, cataract-inducing vitrectomy, which may cause retinal detachment (RD) or sight loss. Novel interventions like stem-cell delivery pose yet further challenges. Apart from removing healthy vitreous, they require millimetre-long retinal tears, lifting the retinal membrane, and injecting a stem-cell suspension or sheet. Current robots facilitate manipulations but conceivably neither enable alternative approaches nor reduce retinal-tear-induced risks. PIONEER, the proposed snake robot, can disrupt clinical protocol by navigating peri-ocularly and around the orbital muscles to suprachoroidally reach the retina. Revolutionizing existing robot paradigms, PIONEER innovates both scientifically and technically. Optimal robot compliance will ensure force-adaptive peri-ocular steering conforming to the eye’s exterior. A tactile sleeve with micro-sensors will provide exteroceptive force sensing and shape estimation. Enhanced navigation, fusing optical coherence tomography with on-line vessel detection from novel tip-mounted probes, will ensure safe guidance to avoid vessels through imposed virtual fixtures and path planning. No vitrectomy will be required and the posterior scleral incision will leave the retinal membrane intact, minimising RD risk. PIONEER can be an enabler of emerging stem-cell interventions and futuristic procedures like drug-implant insertion and nerve interfacing, currently at human-dexterity limits or impossible.
Demonstration of a self-erection system for wind turbine towers (SE-NBW)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Spain
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-1-2015, 2015)
Start date: 2015-10-01
End date: 2016-03-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

One of the main wind market trends is to increase the size of wind turbines in order to take full advantage of available wind resources and thus improve the COE. However, such increase has led to a number of limitations, both technical and economic, in the installation of towers over 120 m, which result in a bottleneck that paralyses this market trend. Large cranes are used for the installation of all types of towers, which result in significant cost overrun in the installation of towers higher than 120 m and limiting the installation of towers higher than 140 m, thus, paralyzing the development of the sector. In this area, NABRAWIND has developed an effective, reliable and with a competitive cost system that enables assembling any type of wind turbine tower, nacelle included, without any limitation in height and with complete independence from auxiliary cranes, thanks to a new lifting concept system based on hydraulic lifting mechanism which allows the system to operate from the ground. The overall objective of this project is the demonstration to "stakeholders" of the functionality and reliability of the final configuration of the new self-erection system for the construction of wind towers in a real operational environment with the aim to confirm that the design specifications and requirements of the application are fulfilled.

Keywords: wind energy,cost of energy,tower,crane,lifting system,installation