Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Low-power consumption, heavy-metal-free wide-spectrum image sensors for mass-market computer vision applications (QSTACK)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Transition
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Spain
Call: EIC Transition Open 2022 (HORIZON-EIC-2022-TRANSITION-01, 2022)
Start date: 2023-04-01
End date: 2025-09-30
Duration (months): 30.0
Total project cost (EUR): 2370937.5
EU funding (EUR): 2370937.5
Participants: 1
Project status: SIGNED

The imaging industry is experiencing a paradigm shift due to megatrends such as autonomous cars, the metaverse and service robotics, all applications powered by computer vision (CV). This subset of artificial intelligence (Al) is expected to contribute more than €2 trillion to the global economy by 2030. Present imaging technologies were designed to fulfil the needs of humans for high-quality photography but not for machines. Autonomous and intelligent systems will require re-inventing image sensors to deliver reliability and resilience under low-visibility conditions while increasing the amount of information they capture and analyse. Qurv, a company operating in this space that brings together unique world expertise, has identified power consumption and toxic materials as the common drawbacks of current solutions, hindering mass-market uptake. To address these challenges, the project QSTACK will develop and validate a wide-spectrum image sensor technology and business case that delivers unprecedented cost performance to mass-market, power-sensitive computer vision applications. This ambitious overarching aim will be achieved through the following objectives: i. Achieve the integration of high-performance wide-spectrum CMOS / TMDC / heavy-metal-free stack SWIR sensitive image sensors as demonstrated by imaging and electrical characterisation analysis. ii. Achieve a reduction of the total image sensor’s power consumption, enabled by a >1,000x decrease in the pixel engine power consumption. iii. Increase the investment readiness of QSTACK, as demonstrated by the number of early users interested in pilots and evaluation kits, together with the creation of investment material. QSTACK envisions putting the European semiconductor industry in an advantageous position to seize the opportunity in mass-market computer vision applications that will have an enormous impact on consumer electronics, personalised health, and safe mobility.

Keywords: 2d materials,computer vision,image sensors,wide spectrum,low power,heavy metal free,mass market,colloidal quantum dots,swir
Development of Coupled Cluster Theory in Optical Cavities for Molecular Polaritonic Response Functions (QEDControl)

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: Chemistry
Countries involved: Germany
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-06-01
End date: 2027-05-31
Duration (months): 24.0
Total project cost (EUR): 217965.12
EU funding (EUR): 217965.12
Participants: 1
Project status: SIGNED

Introducing molecules into quantum cavities to enhance selected physical properties or to control chemical processes is a highly active domain of research. The coupled system of molecules and the resonant electromagnetic field, called a molecular polariton, have properties very different from those of free molecules, providing a possibility of non-invasively influencing molecular systems on a quantum level. Developments in experimental techniques and electronic structure methods continuously open up new possibilities of tuning polaritons for specific applications. The description of molecules in quantum cavities requires models deeply rooted in quantum electrodynamics and necessitates novel perspectives in wavefunction-based methods. Although it is now possible to calculate the potential energy surfaces of polaritons, the description of other properties, especially response functions, is an open challenge. In this project, we aim to develop theories and methods for the calculation of polaritonic response properties in quantum cavities, with the goal to understand the possibilities of quantum control of intra- and intermolecular processes. Our developments are expected to provide experimental and fundamental research with a theoretical framework and software implementations for the future design of chemical processes in quantum cavities. Achieving this result will rely on an interdisciplinary work between theoretical molecular physics, high-performance software development, as well as applied computational chemistry methods. This synergy between electronic structure theory expertise of the Host with the background in response function theory of the Applicant will also be supported by a larger effort at the Saarland University to utilize quantum cavities in molecular science. Overall, the successful project will give a theoretical background for planning polaritonic devices for tailored applications by a non-invasive altering physical and chemical properties.

Keywords: coupled cluster theory,quantum cavities,polarizability,response functions,quantum electrodynamics,polaritonic chemistry,quantum control
Social Media for Democracy - The role of cultural memory practices on social networks (SoMe4Dem-Hop-on)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Destination: Improved access to Excellence
Action type: Research and Innovation actions
Countries involved: Germany,Slovenia
Call: Hop on Facility (HORIZON-WIDERA-2023-ACCESS-06, 2023)
Duration (months): 24.0
Total project cost (EUR): 555695.0
EU funding (EUR): 555695.0
Participants: 2
Project status: SIGNED

The SoMe4Dem project studies the impact of social media on the public sphere by (1) providing better empirical evidence for this impact, (2) understanding the main causal mechanisms of this impact and (3) developing tools that improve the capacity of social media to contribute to the functioning of the public arena in a liberal democracy, i.e., deliberation, legitimation, and the self-perception of the democratic subject. IRRIS will add the dimension of cultural and communicative memory and employ its expertise in the deliberative democracy research in the studies on social media impact on the public sphere. Based on the conducted theoretical analysis and selected case studies on 4 commemorations IRRIS will develop and test customized deliberative quality indicators to provide measurements of this impact in relation to polarization, deliberation, and identity-formation. Finally, the project will formulate policy guidelines, aimed to address social media impact on both the integrative and polarizing function of cultural memory, tailored to deliberative democracy principles taking into account the complex situation in East and Central European and Western Balkan Countries. IRRIS will prepare a workshop on this topic and a brochure with main findings for the general public. IRRIS inclusion in SoMe4Dem within this Hop on Facility will impact different fields and institutions, thus surpassing mobilizing excellence of one research institution and one Widening country, Slovenia. IRRIS researchers will acquire new competencies and skills in computational social sciences, necessary expertize in research and data management and will upgrade their experiences in the dissemination and exploitation of the project results. It will give IRRIS the opportunity to establish itself as a hub for the transfer of knowledge and facilitator of mobilizing excellence within the Slovenian research area and Western Balkans, where IRRIS focuses its collaborations.

Keywords: cultural memory,social media,liberal democracy
Direct Selective Laser Trabeculoplasty (DSLT): Accessible glaucoma care in seconds (EyeAccess)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Israel
Call: EIC Accelerator Open 2021 (HORIZON-EIC-2021-ACCELERATOROPEN-01, 2021)
Start date: 2022-01-01
End date: 2022-12-31
Duration (months): 12.0
Total project cost (EUR): 6589750.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: CLOSED

Our novel laser technology - Direct Selective Laser Trabeculoplasty (DSLT) is an automated laser procedure for accessible primary treatment of glaucoma and ocular hypertension. Our Eagle™ device has the potential to revolutionize glaucoma care as it is non-contact, intuitive, and quick. The technology is ground-breaking, as the procedure doesn’t require expertise and involves simply pressing a button and delivering treatment in seconds. DSLT technology is poised to achieve widespread acceptance, as it is not limited to glaucoma specialists, or bound to glaucoma medication compliance. In addition, our technology is supported by promising First-in-Human clinical trial results as well as the expertise and guidance of key opinion leaders in the field of ophthalmology. EIC funding will support BELKIN Laser (re-branded recently as BELKIN Vision) in commercializing this sight-saving technology by establishing the commercial value chain, market launch, and scale-up.

Keywords: selective laser trabeculoplasty,glaucoma,intra ocular pressue
DATA SPACES FOR FLEXIBLE PRODUCTION LINES AND SUPPLY CHAINS FOR RESILIENT MANUFACTURING (FLEX4RES)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Climate neutral, Circular and Digitised Production
Action type: Innovation actions
Partnership: Made in Europe (co-programmed)
Countries involved: Greece,Austria,Germany,Spain,Luxembourg,Belgium
Call: Rapid reconfigurable production process chains (Made in Europe Partnership) (IA) (HORIZON-CL4-2022-TWIN-TRANSITION-01, 2022)
Start date: 2023-01-01
End date: 2025-12-31
Duration (months): 36.0
Total project cost (EUR): 10089581.25
EU funding (EUR): 8078631.0
Participants: 17
Project status: SIGNED

Manufacturing industries continuously face the challenge of delivering high-quality products under high production rates while minimizing non value-adding activities. The recent COVID-19 pandemic is causing manufacturers to rethink and reassess their global supply chains and the flexibility of their production sites. Resilience means the ability to withstand difficult situations, while flexibility can be considered as the ability to accommodate changes without incurring significant extra costs. Production processes demanding high human skill such as forming processes, requires readjustment of the process parameters of all production steps as a new product evolves. The deficiencies can be attributed largely to the lack of efficient ways for trusted data sharing among the stakeholders without interoperability barriers. There is a need to be able to determine when such changes lead to deterministic-chaotic behavior with far reaching consequences. FLEX4RES provides an open platform to support production networks' reconfiguration for resilient manufacturing value chains. FLEX4RES will utilize platform-based manufacturing that builds on the state-of-the-art Gaia-X and IDS technologies for data-sharing in the horizontal supply chain and the Asset Administration Shell (AAS) that is to implement intra-factory reconfiguration practices. FLEX4RES considers the Digital Twin of the value-adding network a key enabling technology to achieve reconfiguration processes in highly flexible production systems and networks. The key element of technology linkage is represented by the Self-Descriptions with linked, standardized information models, especially in terms of resilience. The developed platform and specialized hardware aim to improve the existing industry-established lean management approaches related to Reconfiguration Management through the digitalization of the production, characterized as Industry4.0, by allowing for the information sharing between value chain stakeholders.

Keywords: resilience flexibility intenational data spaces gaia x sensor systems forming
Towards H2ydrogen Integrated eConomies In NOrthern Italy (TH2ICINO)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Public-private partnerships
Destination: Clean Hydrogen
Action type: Innovation actions
Partnership: CLEANH2 (JU-JTI)
Countries involved: Italy,France,Spain,Greece
Call: Hydrogen Valleys (small-scale) (HORIZON-JTI-CLEANH2-2022-2, 2022)
Start date: 2023-09-01
End date: 2027-08-31
Duration (months): 48.0
Total project cost (EUR): 18506850.0
EU funding (EUR): 7446920.0
Participants: 9
Project status: SIGNED

TH2ICINO (Towards H2ydrogen Integrated eConomies In NOrthern Italy) supports the deployment of micro hydrogen economies for the EU by developing and demonstrating a full ecosystem integrated by 6 replicable use cases linked to the steps of the hydrogen value chain. The results will validate a Master Planning Tool (MPT), which replicability will be then tested. The demonstration of the hydrogen valley will work on the four pillars of the hydrogen value chain: (i) hydrogen production, (ii) hydrogen storage, (iii) hydrogen distribution, and (iv) hydrogen consumption and will send the initial status of TH2ICINO in order to enable replication and expansion. A first stage will include modelling, simulation and scenarization, from electrolysis plant to end-user in order to evaluate different scenarios and optimize them taking into consideration the technological constraints. Once the optimal cases are defined, an implementation phase will bring to real-life the innovative concept of the ecosystem tangible results to feed the MPT.

Keywords: digital planning tool,hydrogen economy
Adaptable technological solutions based on early design actions for the construction and renovation of Energy Positive Homes (LEGOFIT)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Efficient, sustainable and inclusive energy use
Action type: Innovation actions
Countries involved: Türkiye,Spain,Italy,Luxembourg,Sweden,France,Belgium,Hungary,Serbia,Ireland,Netherlands
Call: Renewable-intensive, energy positive homes (HORIZON-CL5-2022-D4-01, 2022)
Start date: 2023-05-01
End date: 2027-04-30
Duration (months): 48.0
Total project cost (EUR): 7316136.84
EU funding (EUR): 5948747.5
Participants: 21
Project status: SIGNED

The LEGOFIT project aims to design, implement and validate an advanced and dynamic integrative approach to accomplish EPH based on smart and innovative solutions with a high scalability and replicability for building construction and renovation, through: i) developing an innovative holistic design platform that encompass not only passive and active technologies but also their integration for smartest exchange of information and interoperability of systems based on Building Information Modelling (BIM), available for both professionals and end-users, ii) integrating active and passive strategies (e.g. envelope, HVAC systems, integrated solutions, including nature based solutions, etc.) with smart management technologies (BAS, BMS) for climate neutral and high energy building performance providing maximum flexibility to users iii) investigating innovative routes for promoting minimum environmental impacts by the smart use of solid and liquid residues generated during building life cycle stages and iv) fostering sustainable stock of buildings by guaranteeing not only the fulfilment of sustainable criteria (economic, social, environmental) but also according to the enhancement of smart readiness of buildings. This innovative and integrated approach is demonstrated in 3+ demos across a range of geographical, cultural and construction stages/technological market maturity scenarios. The building typology focus is the residential sector, multifamily houses and dormitories, including both new and existing constructions. The involvement of professionals in the sector is ensured through the development of a community of stakeholders and an open innovation community for Building Energy System (BES) professionals. Training courses focused on the new positive energy house approaches will ensure a new generation of multidisciplinary team of experts on the topic.
X-ray Measurements of Accreting black holes with Polarimetric-Spectral-timing techniques (X-MAPS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: United Kingdom
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-10-01
End date: 2030-09-30
Duration (months): 60.0
Total project cost (EUR): 1999695.0
EU funding (EUR): 1999695.0
Participants: 1
Project status: SIGNED

Black hole (BH) X-ray binaries (XRBs) radiate a huge X-ray flux from the BH vicinity. The X-ray signal, radiated by a hot corona and a cooler disk, contains information on the BH mass and spin, and the strong gravitational field close to its horizon. However, the X-ray emitting region is unresolvable, necessitating indirect mapping techniques. I pioneered forward-modelling spectral-timing techniques that exploit rapid spectral variability, and played a key role in the first studies of X-ray polarization. X-MAPS will take the novel and transformational step of combining these two powerful diagnostics into polarimetric-spectral-timing. This requires a huge increase in the computational intensity of my state-of-the-art models that my group will enable with machine learning to achieve the following science goals: 1) Understand state transitions: We will constrain how the structure of the disk-corona system evolves as the spectral shape changes and large-scale transient jets are launched, informing on the jet launching mechanism and thus how supermassive BHs influence their host galaxies. 2) Measure BH mass: The current observational picture that BHs in gravitational wave (GW) sources are heavier than those in Galactic XRBs has deep implications for binary evolution theory. We will make BH mass measurements using the X-ray signal alone, enabling measurements for XRBs inaccessible to traditional optical techniques (~70% of the population), which are thought to harbour heavier BHs. This will enable us to test the importance of observational bias in the comparison of XRBs with GW sources. 3) Measure 3D BH spin orientation: I recently found strong evidence that quasi-periodic oscillations (QPOs) observed in the X-ray flux of XRBs are driven by relativistic precession of the corona around the BH spin axis: variation of X-ray polarization with QPO phase. We will reconstruct the precession cone and thus the BH spin vector, providing new insights into binary evolution theory.

Keywords: black hole astrophysics
Automated Crowd Simulation with Artificial Intelligence (ACSAI)

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: Germany
Call: Women TechEU (HORIZON-EIE-2022-SCALEUP-02, 2022)
Start date: 2023-09-01
End date: 2024-08-31
Duration (months): 12.0
Total project cost (EUR): 107142.86
EU funding (EUR): 75000.0
Participants: 1
Project status: CLOSED

With the transformation of transportation from individual to public transport and the new climate goals of the European Green Deal, public transportation faces major challenges in the coming years. The number of passengers is expected to more than double. Stations must be quickly expanded to accommodate the increasing number of passengers. Remodeling existing stations is more complex than building new ones, is error prone and quickly lead to costs and time explosions. New methods, technologies, and processes are needed to solve this. Our project Automated Crowd Simulation with Artificial Intelligence (ACSAI) focuses on exploring and combining existing deep tech solutions into a new one. BIM in combination with crowd simulation enables planners to digitally prototype buildings at early planning stages to prevent costly mistakes. Although BIM speeds the process of data preparation, a high computational effort is needed for the execution. As a result, only a few design variants or scenarios can be analysed as of today. To overcome this issue, we combine simulation models with machine learning methods: AI Models shall be developed and trained with the help of precalculated simulation data. The trained NN can give answers at the push of a button, whether a design is compliant or not. This accelerates the process enormously since it quickly sorts out designs that are not feasible. Thus, only pre-checked design variants will be simulated for final confirmation and optimisation. The whole approach is a quantum leap in the planning process since it speeds it up and reduces the risk of planning mistakes enormously. We have tested the approach for railway stations in a PoC environment in the research project BEYOND. The next step is to implement it in our crowd simulation software into a ready-to-market product. As a small company, we cannot afford such big R&D projects on our own. And as a female-founded company we hope to be a role model in a male-dominated sector.

Keywords: artificial intelligence,crowd simulation,planning and construction,mobility