Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Selective CO2 Reduction to CO and Alcohols without Platinum or Noble Group Electrodes (RECALLCO2)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and Processes Engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Netherlands
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2023-12-01
End date: 2028-11-30
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

The electrochemical conversion of CO2 to carbon-based feedstocks represents one of few technological routes capable of replacing fossil fuel derivatives. Despite substantial advancements, however, major challenges impair CO2 electrolysis from matching its promise. Critically, steady acidification of CO2 electrolyzers during operation currently necessitates the use of iridium-based anodes. This is unacceptable from a cost and resource availability perspective. More fundamentally, while CO2 reduction to CO, formate and ethylene has become highly selective, the production of high-energy density alcohols with high selectivity has been elusive. To overcome these barriers, new scientific approaches are needed. RECALLCO2 will resolve iridium dependencies and non-selective alcohol production in CO2 electrolysis through a combination of novel electrochemical cell design and the development of molecular catalytic architectures which break existing fundamental limitations. On the system design front, I will micro manipulate reagent, ionic and water fluxes to inhibit nickel corrosion pathways which presently necessitate iridium anodes. This will be the first-ever intrinsically stable CO2 electrolyzer capable of using nickel anodes. A second pillar is the conceptualization that strong electronic-coupling of metal complexes to metal electrodes can eliminate redox-controlled reaction pathways on molecular catalysts. This counters decades of work using carbon electrodes as supports. Coupling with a metal electrode will delink electron transfers from a molecular catalyst’s oxidation states, and fundamentally change catalytic behaviour that currently restricts reactions to 2 electrons. Thus, CO2 reduction products such as methanol (6 electrons) and ethanol (12 electrons) will become viable. Utilizing this counterintuitive approach, I will push alcohol synthesis well beyond state-of-the-art selectivity and reaction rates, giving renewed promise for producing these compounds.

Keywords: electrocatalysis co2 reduction co2 electrolyzers molecular catalysis bipolar membrane anode iridium
Machine Learning Computational Advancements for peRsonalized mEdicine (MLCARE)

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: Spain,Germany,Belgium,France,Estonia,Denmark,United Kingdom,Netherlands,Sweden,Switzerland
Call: MSCA Doctoral Networks 2024 (HORIZON-MSCA-2024-DN-01, 2024)
Start date: 2026-01-01
End date: 2029-12-31
Duration (months): 48.0
Total project cost (EUR): 4345551.77
EU funding (EUR): 3922230.96
Participants: 22
Project status: SIGNED

Personalized medicine represents a paradigm shift in healthcare, transitioning from generalized treatment strategies to highly personalized care. This transformation is driven by rapid advancements in digital technologies, which generate massive volumes of data from diverse sources, including genomic sequences, high-resolution imaging, wearable devices, and electronic health records (EHRs). However, despite an annual estimate of 50 petabytes of data generated per hospital, only a fraction is utilized effectively. Harnessing this untapped potential offers a transformative opportunity to uncover novel disease mechanisms and deliver more precise and effective therapeutic interventions. The MLCARE project seeks to revolutionize personalized medicine by developing cutting-edge AI solutions that integrate genomic, clinical, and environmental data into holistic, multimodal patient representations. Through innovative approaches such as Foundation Models and advanced generative AI methods, MLCARE will address critical challenges in processing complex, high-dimensional, and multimodal datasets. Emphasis will be placed on ensuring the trustworthiness, explainability, and security of AI applications to support real-world clinical decision-making. A core mission of MLCARE is to train a new generation of interdisciplinary researchers with expertise spanning AI, computational biology, and healthcare. The program will equip doctoral candidates with the technical, analytical, and ethical skills needed to lead the future of patient-centered, AI-driven medicine. By combining state-of-the-art research with a comprehensive training program, MLCARE aims to set new standards in personalized healthcare, ensuring equitable, data-driven solutions that improve outcomes across diverse populations. This project is poised to position Europe at the forefront of global innovation in precision medicine, delivering a timely and impactful response to evolving healthcare challenges.

Keywords: machine learning,data science,probabilistic data modelling,personalized medicine
Bioinformatics for Genomics in Malta (BioGeMT)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Attracting and mobilising the best talents
Destination: Attracting and mobilising the best talents
Action type: Coordination and support actions
Countries involved: Malta
Call: ERA Chairs (HORIZON-WIDERA-2022-TALENTS-01, 2022)
Start date: 2022-12-01
End date: 2027-11-30
Duration (months): 60.0
Total project cost (EUR): 2499997.5
EU funding (EUR): 2499997.5
Participants: 1
Project status: SIGNED

BioGeMT will merge the strengths of the University of Malta (UM) in ICT and Genomics by hosting an expert Bioinformatician and Team within the Centre for Molecular Medicine and Biobanking, that will forge collaborations with existing highly specialised molecular genetics research groups. The goal is for UM to sustainably develop the field of Bioinformatics and the knowledge base and Machine Learning skills required to translate patient derived multi-Omic and clinical data into a better understanding of disease. The advancements made in high throughput -Omic technologies are locally hampered by a lack of bioinformaticians. There are benefits to rapidly developing bioinformatics in Malta: The population's genetic background and availability of large families is advantageous in elucidating the genetic basis of disease. The UM has expertise in biobanking, genetics, genomics and epidemiological research, enabled through strong ties with Mater Dei Hospital. BioGeMT complements and builds on previous investments (ERDF, TWINNING, local R&I funds) used to train researchers, build specialised labs and set up highly phenotyped disease-oriented sample collections with multi-Omic data, one with >2000 whole genomes and RNA-Seq data sets. Bioinformaticians would unlock the full potential of ongoing studies helping to overcome the problematic lack of genetic data from populations other than those of Northern European origin. BioGeMT would boost the international attractiveness, innovation and ability of the UM to compete successfully for international research funding, including IMI, Horizon Europe, charity foundations and industrial grants, by creating a highly specialised Bioinformatics centre in Southern Europe. In the long term this will increase the attractiveness of Malta to bioinformatics companies in line with the national smart specialisation strategy to expand into ICT for health, counteract brain drain, generate jobs and enable collaboration with untapped non-EU regions.

Keywords: bioinformatics,genomics,transcriptomics,metabolomics,machine learning,big data,multi omics
Modulation of neuronal Signaling by Brain Extracellular Space Structure and Dynamics (NeuroExcell)

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: Life Sciences
Countries involved: Spain
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-09-29
End date: 2025-09-28
Duration (months): 24.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 2
Project status: SIGNED

NeuroExcell aims to reveal physiological roles of the ECS structure and dynamics in directly regulating neuronal signalling, by taking advantage of the innovative new Super-resolution Shadow Imaging (SUSHI) technique. It will elucidate the nanoscale structure of the ECS of entire mouse brain hemispheres at different planes of the brain. Inherently, it will reveal simultaneously all cells as analyzable shadows what will provide unprecedented ECS maps, to complement general existing cellular maps. The results will further clarify the distribution and duration of structural ECS dynamics across areas, and will disclose the relation between ECS structure, dynamics and protein distribution in the extracellular matrix. Investigating this in live tissue slices will further allow direct visualization and analysis of diffusional processes what will help to disclose the physiological roles of the ECS. The fundamental nature of the results, and the advanced technological framework, will be of fundamental interest for neurophysiologists, glia cell biologists, and glymphatic system researchers, among others. NeuroExcell will be carried out in a multidisciplinary environment involving advanced fluorescence imaging methods, classic electrophysiological techniques, computational modelling, biophysical theory and biochemistry. For the project I will join an emerging neuroscience institute where I will further enhance and diversify my professional competences through advanced training and quality research, adding to my development toward becoming an independent research group leader.

Keywords: brain extracellular space neuronal signaling extrasynaptic signaling microglia sted super resolution optogenetics
Integrating reinforcement learning and predictive control for smart home energy management (SmartHEM)

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: Sweden
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-10-10
End date: 2026-01-09
Duration (months): 27.0
Total project cost (EUR): 222727.68
EU funding (EUR): 222727.68
Participants: 1
Project status: SIGNED

To achieve carbon neutrality and reduce the dependence on fossil energy, solar panels, heat pumps and electric vehicles (EVs) are becoming commonplace in European homes. The abundant solar power, geothermal energy, as well as environmentally friendly electric vehicles, reduce the usage of fossil-based energy, while posing challenges to the home energy management system at the same time due to the intermittent feature of renewable energy and potential battery degradation from EVs. In this proposal, we propose a smart home management system that optimises the entire home energy cost while considering a set of constraints related to battery safety and reliability, driver/household demand and actuator. As an MSCA-PF fellow, Dr. Meng Yuan will receive crucial training at the Chalmers University of Technology and engage in battery power control and home energy optimisation works which span the areas of control theory and electrical engineering. Interaction between different areas will spur novel methodologies and fruitful outcomes including 1) an adaptive and robust power controller for EV battery systems, 2) a learning-based energy management algorithm that minimises the total energy cost while satisfying the household power supply, and 3) a safe learning-based control framework for home energy system management. The foreseeable results of the project will include a health-aware optimal control for vehicle battery systems that enables vehicle-to-home technology and prolongs the battery's lifetime; a new interdisciplinary energy management system combining machine learning and control algorithms to revolutionise energy sectors.

Keywords: smart homes,electric vehicles,home energy management,model predictive control,robust control,reinforcement learning
Safe and Efficient Use of Sustainable Fuels in Maritime Transport Applications (SAFeCRAFT)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Mobility
Destination: Clean and competitive solutions for all transport modes
Action type: Innovation actions
Partnership: ZEWT (co-programmed)
Countries involved: Greece,United Kingdom,Italy,Netherlands,Marshall Islands,Germany
Call: Demonstrations to accelerate the switch to safe use of new sustainable climate neutral fuels in waterborne transport (ZEWT Partnership) (HORIZON-CL5-2023-D5-01, 2023)
Start date: 2023-12-01
End date: 2027-11-30
Duration (months): 48.0
Total project cost (EUR): 12477375.0
EU funding (EUR): 9389662.5
Participants: 12
Project status: SIGNED

SAFeCRAFT’s overall goal is to develop and demonstrate the safety and viability and accelerate the adoption of Sustainable Alternative Fuels (SAFs) in waterborne transport. It demonstrates four technologies, acting as SAF enablers for different types of oceangoing and short sea shipping vessels, both newbuilding and retrofits. SAFs used during handling, storage, and for main propulsion include liquid & compressed green H2, and two green H2 carriers, LOHCs and ammonia. SAFs used will be demonstrated on a bulk carrier and assessed and validated through detailed desktop studies for four other types of vessels typical in EU ports. For the demo vessel, H2 will be used as the primary fuel source for a Generator Set providing power to a shaft motor (Power-Take-In) in parallel with the M/E, thus covering part of ship’s propulsion needs. The desktop studies feature the aforementioned SAFs that lead into three powertrain options for each vessel, 1) fuel cell stacks & marine-type battery packs, 2) internal combustion M/E (for newbuildings), 3) internal combustion PTI generator similar to the demo. These SAF enabling power train systems will be analyzed in-depth, using specific KPIs for safety, energy efficiency, environmental impact and technoeconomic feasibility. SAFeCRAFT A-Z approach in utilizing SAFs, including bunkering, storage, handling and fuel consumption onboard, and the issuance of Approval in Principle for the engineering and design processes, will accelerate their implementation. Three societal objectives will be served: 1) facilitating the creation of highly skilled jobs, 2) economic growth in the EU by development of new technologies and regulatory standards for waterborne transport, 3) reduction of the environmental footprint and acceleration of the transition to SAFs. The core consortium members of the current proposal are also the core team of the NH3CRAFT and LH2CRAFT projects, while the well-balanced consortium consists of 11 partners from 6 countries.

Keywords: hydrogen,ammonia,retrofit,reduced emissions,green technologies,fuel cells,guidelines,lohc,genset,pti,safs,powertrain
Light-driven surface shaping for holographic optical elements (HoloShape)

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: Finland
Call: ERC PROOF OF CONCEPT GRANTS2 (ERC-2022-POC2, 2022)
Start date: 2024-02-01
End date: 2025-07-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Diffractive optical elements are the key technology for Augmented and Virtual Reality (AR & VR) displays. They are typically fabricated using nanoimprint lithography and reactive ion etching, which do not allow for reconfiguration of the structures. We present a novel solution for fabrication of diffractive optical elements using feedback-controlled, light-induced sub-micrometre scale surface shaping of azobenzene-containing films. The method allows for facile creation of complex surface relief patterns with continuously varying heights and reconfigurable patterns, which are difficult to create using conventional lithography tools.
Decision making methodologies for optimal design and operation of energy systems (DMOptfES)

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: Portugal,Switzerland
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-01-01
End date: 2026-12-31
Duration (months): 24.0
Total project cost (EUR): 172618.56
EU funding (EUR): 172618.56
Participants: 2
Project status: SIGNED

The central challenge in energy systems is to balance cost-efficiency, environmental responsibility, and living standards. Multi-objective optimization in such systems is critical for striking compromises among stakeholders and ensuring competitiveness and sustainability. As energy systems face uncertainty, volatility, and environmental regulations, holistic optimization becomes more critical. However, three main challenges currently hinder energy system optimization: complex models demanding substantial computational power, a lack of holistic and robust approaches, and the use of real-time data for proper operation and analysis. Although each of these challenges has been addressed individually, no contribution was able to bring them all together in a consistent methodological framework. This is the main objective of this fellowship. This fellowship will be conducted at IST/University of Lisbon under the supervision of Prof. Henrique Matos, and aims to bridge these gaps by integrating machine learning, systems optimization, uncertainty analysis, and real-time operation. It seeks to develop advanced surrogate generation techniques, emphasize system integration and holistic analysis, optimization under uncertainty, and the use of real-time data for operation. These methods will be applied to real industrial challenges in an industrial secondment. This research project will develop methods and tools to address such challenges and contribute to a sustainable, profitable, and responsible European economy.

Keywords: energy systems engineering process systems engineering
Dynamic thermomechanical deformation map of FCC microparticles using additive micromanufacturing and machine learning (DyThM-FCC)

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: Germany
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-10-01
End date: 2024-09-30
Duration (months): 24.0
Total project cost (EUR): 173847.36
EU funding (EUR): 173847.36
Participants: 1
Project status: CLOSED

The core aim of DyThM-FCC is to push the envelope of additive micro-manufacturing (AµM) and micromechanical testing under extreme conditions and identify a constitutive strengthening law by using machine learning (ML). A novel printing method, based on localized electrodeposition in a voxel-by-voxel manner, will be used to print metallic microparticles of Ni, Cu and Co. Subsequently, these microparticles will be subjected to thermal treatments to control the internal microstructure, i.e. change the dislocation content and grain size. These metallic microparticles will be tested under a combination of unprecedented strain rates (SR) up to 1000/s and temperatures from -150°C up to 600°C for assessing their suitability and reliability in extreme applications (e.g. sensors, where are subjected to high frequencies, or catalysis, where high temperatures can be expected). Depending on the applied SR and temperature several deformation mechanisms can contribute towards the deformation of face centered cubic (FCC) microcrystals as a function of the stacking fault energy (SFE). Ni, Cu and Co has been selected for this study as their SFE is very different, i.e. 128, 75 and 15 mJ/m2, respectivley. As such, a complete deformation map of pristine microscale pure FCC metals will be obtained as a function of temperature, SR, SFE and defect density, based on the stress-strain signatures, extracted thermal activation parameters such as activation volume/energy and microstructural characterization from scanning and transmission electron microscopy (SEM/TEM). Finally, all that information will be used to feed a ML strategy in which the parameters of a constitutive law will be extracted. DyThM-FCC will test the limits of cutting-edge technology in EU research arena by exceptional cooperation between complementing scientific fields.

Keywords: in situ micromechanics high strain rate cryo and high temperature additive micromanufacturing machine learning
GREEN SCIENCE AT THE SERVICE OF HEALTHY SOCIETY (GreenSCI)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: European Researchers' Night
Action type: Coordination and support actions
Countries involved: Moldova, Republic of
Call: European Researchers' Night 2022-2023 (HORIZON-MSCA-2022-CITIZENS-01, 2022)
Start date: 2022-04-01
End date: 2023-11-30
Duration (months): 20.0
Total project cost (EUR): 223500.0
EU funding (EUR): 223500.0
Participants: 4
Project status: CLOSED

The GreenSCI project aims to increase the public recognition of science, promote young researchers and researchers with sustainable innovations, and show the impact that research and innovation have on daily life and social welfare. In this context, the 2022 and 2023 editions of European Researchers Night aim to increase the public recognition of science, promote young researchers and experienced scientists with sustainable innovations, and show the opportunities in research and STEAM for young people and pupils. The main idea of GreenSCI project is to bring together researchers, innovators, children, young people, adults from different regions of Moldova who have and who do not have a background in research in order to show the impact of RDI and STEAM disciplines on everyday life. The specific objectives of the GreenSCI project are: • Contribute to increased visibility and promotion of research and researchers among the general public; • Enhance communication between researchers and the general public, mainly young people, by encouraging citizens’ engagement; • Increase the public recognition of EU programmes and opportunities, including EU funded researchers from Moldova, as well as Moldovan scientific diaspora. • Promote innovations with social and business applicability via Open Science practices. • Emphasize the impact of research and innovation on daily life and social welfare.

Keywords: european researchers night,promotion of research and researchers,communication between researches and general public,engagement