Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Generative Explainee-aware Explainability and Transparency in Proactive Cyber-Physical Eco-Environments (GREET)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Doctoral Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: United Kingdom,Germany,Austria,Belgium,Poland,Greece,Italy,Portugal,Spain
Call: MSCA Doctoral Networks 2024 (HORIZON-MSCA-2024-DN-01, 2024)
Start date: 2025-10-01
End date: 2029-09-30
Duration (months): 48.0
Total project cost (EUR): 5111176.63
EU funding (EUR): 4495846.32
Participants: 13
Project status: SIGNED

As an interdisciplinary endeavour, the GREET network brings together leading institutions and companies in Cyber-Physical System (CPS), AI, software engineering and cognitive interaction research across Europe with the aim of training a new generation of scientists, technologists, and entrepreneurs that will move Europe into a leading role in the scientific and technological innovation in Generative AI-driven CPS, its proactivity and explainability. Linking the leading academic and industrial partners in the above areas, GREET will form an effective and unique training network powerfully combining the best research training with a range of academic and industrial placements, specialist research and knowledge transfer workshops. It will develop and train a new generation of young researchers through a set of key research projects, developing breakthrough CPS systems and services that feature generative cognition, explainee-aware generative explainability, and transparent proactivity in highly secured CPS eco-environments. It will shape the delivery of training in the novel generative AI-driven CPS across Europe: delivering key insights into the science and models of the proposed CPS, setting up its scientific foundation, and equipping the DN’s recruited Doctoral Candidates with skills to drive the next innovative steps in this key area of generative AI-driven CPS. These steps include building a sustainable innovation ecosphere and community, disseminating and exploiting this new CPS’s learning and understanding of the eco-internals, eco-surroundings and eco-dynamics in many vital societal and economic services, including Industry 5.0, smart city, healthcare, energy, emergency handling, social robotics and elderly care. The innovation perspective of these new CPS is substantial, which will be particularly important for handling services that involve humans and in critical situations, e.g., in emergency and hazardous environments.
Capturing UV Sunlight Using Hydrogen-Bond Networks: Organic Sun Screens for Skin Protection (CUSHOSP)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: France
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2025-POC, 2025)
Start date: 2026-01-01
End date: 2027-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Global warming and the depletion of the ozone layer due to climate change, is having an enormous impact on human society and economic development. In this Proof of Concept (PoC), we focus on a preventative measure for the rising cases of skin cancer induced by the increase in harmful exposure to ultraviolet (UV) radiation, a factor that is having profound consequences at all levels of the economic sector. The most common measure used in the industry to protect the skin from UV rays, is through the application of sunscreens. The safety of the key chemical components of these sunscreens on both humans and marine life, are recurrently a matter of concern and debate in our society. The CUSHOSP PoC seeks to explore, through state-of-the-art generative artificial intelligence, the design of organic assemblies that will form the building blocks of next- generation eco-friendly sunscreens. The radical idea behind CUSHOSP involves the re- purposing of hydrogen-bonding networks (HBNs) into sunscreens to capture UV light and subsequently prevent skin damage. The PoC leverages the expertise and promising preliminary results that have been amassed through the ERC Consolidator Grant, on the chemical physics and spectroscopy of HBNs as optical probes that can emit visible light. Through an interdisciplinary team involving partnerships between computational and experimental scientists along with industry consultants, the PoC has the ambition to create a chemical formulation that will serve as a lead candidate for an organic eco-friendly sunscreen. The potential for technology transfer could create a completely new commercial market for sustainable, eco-friendly, and socio-economically accessible skin protection solutions with impact in both the skin protection and cosmetics industry. This, in turn, would enable more effective long-term planning to address the challenges posed by climate change in the coming decades.
Practices of Unfreedom in Northern France, 888-1121 (PUNF)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: France
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 195914.88
EU funding (EUR): 195914.88
Participants: 1
Project status: SIGNED

The proposed project aims to fundamentally re-frame the social history of the thousands of unfree persons living in France during the central middle ages. It will do so by applying methods and frameworks from the growing field of the history of slavery and dependence, moving away from redundant narratives of a ‘transformation’ from antique slavery to medieval serfdom. It will draw upon a wide range of documentary sources from four ecclesiastical provinces in Northern France (Tours, Rouen, Sens and Reims) to create a database of the practices and interactions between unfree dependents and their lords in the period AD 888 to AD 1121. Once completed, this database will allow for a detailed analysis of the social and economic roles played by practices of unfreedom in medieval society. The three key research themes of the project (The Imposition of Unfreedom; The Agency of the Unfree; The Historical Record of Unfreedom) will be explored in two peer-reviewed journal articles, one in French and the other in English. The researcher, Dr. Niall Ó Súilleabháin, will conduct the project over 24 months at the 'Centre d’études supérieures de civilisation médievale' (CESCM) in Poitiers, a vibrant, interdisciplinary centre for medieval studies. The research will be conducted under the supervision of Prof. Martin Aurell, an internationally renowned expert on the power of medieval social élites. The project’s training element, involving mentoring, digital training and participation in academic discussions and outreach, will allow the researcher to develop transferable skills in archival research, digital humanities techniques, research project management and multi-lingual scholarly communication. These skills, in addition to the strengthening of existing collaborative European networks, will significantly enhance the researcher’s career prospects, allowing him to become an international research leader in medieval social history.

Keywords: unfreedom,slavery and dependency,servitude,ecclesiastical history
Nanowire device for single virus delivery and sensing in vacuum (VIR-Quantify)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Spain
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2023-POC, 2023)
Start date: 2024-07-01
End date: 2025-12-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Airborne viruses causing respiratory diseases represent a mayor global health threat, being viruses with RNA-genomes from animal reservoirs highly likely to cause further public health emergencies in the future. VIR-Quantify aims to provide proof of concept for a technology capable of highly sensitive, fast and untargeted airborne virus detection with infectivity assessment, providing a comparative advantage in the competitive landscape. VIR-Quantify builds upon an unprecedented application of NMS sensors to the field of airborne viral particles detection (methodology developed and patented by the PI in the framework of a previous ERC CoG). VIR-Quantify proposes the use of ionic liquids to preserve the virus structure, together nanowire sensors that allow mass and stiffness measurements for identification and infectivity studies of the pathogens. The innovative solution lies in two fronts: 1) an unprecedented capability to measure with high throughput (30 particles/minute) the stiffness of intact viruses to infer their infectivity potential, not at reach to other techniques, 2) the capability to count and characterize all the viral particles present in the liquid sample without loss of bioanalytes during the measurements. VIR-Quantify aims to exploit the novel technology for on-site identification and quantification of airbone viral particles and validate the innovation potential of such technological tool for commercialization by developing a market entry strategy built upon IPR consolidation and spin-off set-up. This will lead to high-gain, disruptive outcomes in the form of unprecedented mechanistic understanding for detecting the quick spread of airbone viral particles with great socioeconomic benefits visible at three levels: (1) fuelling industrial innovation and economic growth in a game-changing sector (preventive medicine); (2) reducing healthcare costs worldwide, thus enabling more resilient and efficient health systems; (3) improving human welfare.
Glacial sculpture in Mars’ ancient megachannels (IceFloods)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Earth System Science
Panel description: Physical geography, geo logy, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: France
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2025-01-01
End date: 2029-12-31
Duration (months): 60.0
Total project cost (EUR): 1396723.0
EU funding (EUR): 1396723.0
Participants: 1
Project status: SIGNED

Mars is a hyperarid, global cryosphere, and likely has been for over 3 Gyr. However, during the so-called early Mars period 4-3.5 Gyr go, water flowed within thousands of valleys, in crater lakes, producing ancient deltas, building ice sheets, and possibly ponding in oceans. Surface liquid water was stable on Mars coinciding with the origin of life on Earth. However, this early benign climate collapsed with the continued loss of Mars’ atmosphere in the Hesperian period, ~3.5-3 Gyr ago. Outflow channels, megacanyons among the largest erosive landforms in the Solar System, date from this time. The largest one, Kasei valles, is so vast that the volumes of water involved in its formation were an important fraction of Mars’ total water inventory, and its outflow could have filled an ocean on the martian lowlands. In the current view, Kasei Valles was formed by a megaflood sourced from the catastrophic release of a near-surface aquifer, building on the basis of terrestrial analogue comparisons. This work aims to challenge this view. In this project I will explore the hypothesis that Kasei Valles was eroded by an ice stream, a region of channelized, fast-flowing ice within an ice sheet, based on its scale, location, and geomorphology, and reinvestigate the origin of other outflow channels under this perspective. Drawing from novel fluid dynamic simulations, analogue field work, geological mapping, and climate modelling, I will test the ‘Ice flood’ hypothesis, which if correct would radically change our understanding of Mars’ transitional Hesperian climate, the nature of its hydrological cycle, and the possibility of a Hesperian ocean. Outflow channels hold a key for understanding the collapse of Mars’ early climate and hydrological system, the end of global conditions able to support life, and the rise of the global cryosphere that would come to dominate Mars’ climate.

Keywords: mars,astrobiology,ice streams,floods
The FLeet of Autonomous Robots and Fleet Management Software (AdvoBots)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Elevating the scalability potential of European business
Destination: Elevating the scalability potential of European business
Action type: Coordination and support actions
Countries involved: Türkiye
Call: Women TechEU (HORIZON-EIE-2022-SCALEUP-02, 2022)
Start date: 2023-07-01
End date: 2024-06-30
Duration (months): 12.0
Total project cost (EUR): 107142.86
EU funding (EUR): 75000.0
Participants: 1
Project status: CLOSED

Advoard Robotics produces fully autonomous mobile robots that are aware of each other's location and route information, and develops software to prevent inefficient picking and labor losses in logistics and e-commerce warehouses. These robots can be monitored through an advanced web interface; remote accident support and data analysis can be done. At the same time, data can be exchanged with the warehouse management system. This solution includes mapping, positioning, path planning, autonomous driving capability of each robot and sharing this information. Robots moving in fleets work with maximum efficiency at minimum route length thanks to algorithms based on artificial intelligence. The technology we have developed includes mapping, positioning, path planning, autonomous driving capability of each robot and sharing this information. Robots that move in fleets work with maximum efficiency at minimum route length thanks to algorithms based on artificial intelligence. The most important technologies used are SLAM (simultaneous positioning and mapping) and FMS (fleet management system). The SLAM process uses a complex set of calculations, algorithms, and sensor inputs to navigate a previously unknown environment or to revise the map of a previously known environment and find a location. Fleet Management System (FMS) is applied to manage and control more than one robot working within the units. FMS provides complete, centralized and decentralized management of the robot fleet, allowing users to manage different mobile robotic systems from a variety of devices via standard communication protocols. In FMS, robots share route and location information with each other. In the light of this information, our algorithms determine the routes in which the robots will perform their tasks without colliding, according to our traffic rule sets.

Keywords: fleet management software,autonomous fleet robots
Multiscale investigation of mineral biosignatures with novel and integrated synchrotron approaches (SYNBIOSIG)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Netherlands,France
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-07-01
End date: 2025-10-31
Duration (months): 28.0
Total project cost (EUR): 187624.32
EU funding (EUR): 187624.32
Participants: 2
Project status: SIGNED

Microorganism are known to trigger or mediate the formation and transformation of different minerals, such as carbonates and silicates. Microbial-mineral interactions potentially generate chemical and structural characteristics in biominerals, which can be preserved deep in time as mineral biosignatures and be explored in the search for life on early Earth or Mars. We plan to investigate signatures of life in Archean, Proterozoic and modern sedimentary structures by integrating chemical, morphological and structural information using a pioneering approach based in laboratory and synchrotron-based advanced imaging methods. Our approach will integrate state-of-art laboratory characterization of geochemistry and mineralogy with mineral and crystallographic textures and ultrastructure in 2D and 3D. It will shed light into the understanding on the biomineralization processes of microbial carbonates and cherts, and provide biological interpretations of relevance to studies on early life on Earth and Mars contexts.

Keywords: geomicrobiology,microbialites,biosignatures,synchrotron,x ray imaging,early life
Quantum enhANched phoTonic Integrated sensors For metrologY (QUANTIFY)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: Digital & Emerging Technologies for Competitiveness and Fit for the Green Deal
Action type: Research and Innovation actions
Countries involved: Italy,France,Switzerland,Spain,Belgium,Netherlands,Germany,Croatia
Call: Next generation quantum sensing and metrology technologies (RIA) (HORIZON-CL4-2023-DIGITAL-EMERGING-01-CNECT, 2023)
Start date: 2024-01-01
End date: 2027-06-30
Duration (months): 42.0
Total project cost (EUR): 3599843.75
EU funding (EUR): 3599843.75
Participants: 15
Project status: SIGNED

Over the years sensors expanded their field of use from scientific exploration to consumer electronics, and their market evolved accordingly. Quantum technologies are expected to further push sensor’s performances, unlocking even more application domains, exploiting non-classical correlation of light and matter to extract the relevant information beyond the limit dictated by classical noise processes, improving performances such as sensitivity, specificity and uncertainty. The ability to produce, control and measure quantum states in transportable devices is the key to extend the sensors’ operating environment, lifetime, power consumption and costs. QUANTIFY fits perfectly this vision and the goal of Demonstrating quantum sensing beyond classical capabilities for real-world applications, in the Strategic Research Agenda of the Quantum Flagship Program. QUANTIFY objective consists in bringing photonic quantum enhanced sensors at the next level of integration developing the essential building blocks and novel quantum-enhanced techniques for future chip scale optical clocks, optically pumped magnetometers and optomechanical temperature sensors. QUANTIFY leverages different photonic platforms combined by a novel hybrid integration technique to bring the key optical and optomechanical functionalities on a single chip. To increase the clock and magnetometer performances, we introduce a photonic integrated squeezed light source, also becoming an important step for realizing a universal quantum computer based on photonics. Finally, we demonstrate a novel absolute temperature sensor with an extended detection range, from cryogenic to room temperature leveraging a nanoscale optomechanical approach coupling photonic and phononic degrees of freedom. All the free developed sensors will be assessed using metrological protocols and national primary standards in National metrological laboratories, to foster their feature exploitation in real application for end-users.

Keywords: quantum enhanced sensors,metrology,photonic integration,squeezed light,key enabling technologies,nanofabrication,traceability,calibration,quantum maesurements,chip scale devices
Optimization of Gas Turbine Cooling Hole Ramp Configuration via Multi-Fidelity AI/ML Model (OURLEM)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Italy
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-03-02
End date: 2028-03-01
Duration (months): 24.0
Total project cost (EUR): 209483.28
EU funding (EUR): 209483.28
Participants: 1
Project status: SIGNED

Gas turbines play several important roles in Europe, contributing to various sectors of the economy. According to the Polaris Market report, the global gas turbine market was valued at 22.25 billion USD in 2021 and is expected to grow at a CAGR of 6.3% till 2030. At this huge global market size, since fossil fuels are burned in gas turbines, they release greenhouse gases, including CO2. Based on the 2030 EU Climate Target Plan, sets Europe on a responsible path to becoming climate neutral by 2050, greenhouse gas emissions should be cut by at least 55% by 2030. Hydrogen gas turbines offer several advantages over fossil fuels, making them an attractive option for clean and sustainable energy generation (zero emissions), helping to face climate change, and reducing air pollution. However, hydrogen burns at a higher temperature compared to other fuels, which poses challenges for turbine blade cooling and requires an efficient cooling technique to maintain blade integrity. Film cooling, by injecting cold air at discrete locations over the exposed surfaces through holes and slots, is one of the available technologies. Additive structures, such as ramps, near the exit of the cooling hole geometry can be used to improve the film-cooling effectiveness, thus increasing the gas turbine efficiency. The geometrical configuration of the upstream ramp can significantly affect the cooling effectiveness on the surface and the mixing between coolant and mainstream. Therefore, the ramp configuration should be carefully designed. In this project, this goal will be achieved through a multidisciplinary optimization approach, based on the combination of experiments and high-fidelity Large Eddy Simulations, making use of Artificial Intelligence and Machine Learning approaches. The outcome of the project will be an optimization tool and an optimized ramp to be applied on the cooling hole and expected to result in better thermal efficiency in the gas turbines and lower fuel consumption.

Keywords: large eddy simulation,gas turbine cooling hole,upstream ramp,machine learning,pressure sensitive paint