Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Particle Resolving Fluid-Sediment Interaction (Partres)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: Norway
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

Climate change leads to increased frequency and magnitude of flash flood events in rivers and of storm surges in coastal areas. Flash floods are associated with larger discharges and water levels, whereas storm surges are characterized by higher wave heights and water levels. These events have significant consequences for both rivers and coastlines triggering a morphodynamic response. Resulting erosion and soil mechanical failures can result in severe damage to civil infrastructure and buildings. There is a knowledge gap that connects the hydraulic, hydrodynamic and geotechnical aspects of environmental loading due to current, wave action as well as sediment and soil response respectively. With the increased likelihood of extreme weather events, there is an urgent need to study coastal morphology and mitigation approaches from a multi-disciplinary physics-based perspective. Representing the interconnected processes of current, waves, sediment transport and soil deformation constitutes an interdisciplinary challenge. In the current project, particle based sediment transport models are created that take a significant step towards a realistic representation of these processes. The missing link between the individual modules will be developed, bridging the confinements of the disciplines of hydraulic, coastal and geotechnical engineering with heavy use of advanced computational fluid and solid mechanics. The multi-scale nature of extreme hydrodynamic events and their interaction with sediment and soil particle physics will be solved through a holistic multi-scale numerical framework. The proposed research lays the foundation for taking a significant step in sediment transport research that is required for dealing with current and future challenges arising from climate change. Innovative solutions to extreme weather event impact in the coastal, estuarine and riverine environments can be rapidly proposed and verified using the current numerical modeling strategy

Keywords: sediment transport,numerical modelling
ORE4CITIZENS: BRINGING OFFSHORE RENEWABLE ENERGY TO SOCIETY (ORE4Citizens)

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: Spain
Call: European Researchers' Night and Researchers at Schools 2024-2025 (HORIZON-MSCA-2023-CITIZENS-01, 2023)
Start date: 2024-04-01
End date: 2026-03-31
Duration (months): 24.0
Total project cost (EUR): 299624.54
EU funding (EUR): 299624.54
Participants: 4
Project status: SIGNED

ORE4Citizens will bring science and research closer to society focusing on the education system and society at large through Offshore Renewable Energy (ORE) and STEAM to raise awareness and engagement on the contributions of research to the socio-economic development and the societal challenges and strategic priorities in the Basque Country and Europe. The activities - of the Researchers’ Night and Researchers at Schools, supported by Awareness Campaigns and Impact Assessment- will take place in the Basque Country, with the following objectives: 1. Bridge the gap between ORE science and perception of citizens, students and pupils. 2. Increase social awareness, citizen commitment and acceptance of scientific activity in the area of Offshore Renewable Energies and their contribution to the EU missions. 3. Promote STEAM vocations among young people. In particular towards disciplines necessary for ORE, to contribute to the value chain of the Basque Country and Europe. 4. Create female references in science and promote the scientific careers of women and girls and attract talent. Showcasing real women that today have an important role in the scientific and technological development. 5. Show the value of scientific activities funded by the European Union and how they contribute to society, with special emphasis on the Green Deal. 6. Showcase the scientific and academic capabilities of the Basque Country in ORE (R&I and training) and its contribution at European scale. KPIs and, means of verification and main numeric targets for ORE4Citizens objectives are set, as well as a number of results contributing in significant scale to the expected outcomes and impacts. A broad collaboration network of public institutions, private entities, research organisations and tertiary sector entities have signed their compromise to participate in the dissemination and development of the activities to maximise the impact while ensuring equal opportunities for the entire population.

Keywords: offshore renewable energy,stem,women in science,female references,inspiration,students,basque country,ocean,citizens,education,green deal
Developing a highresolution Water Balance Model for Africa (HYDROAWARE AFRICA)

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: United Kingdom,United States
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-09-01
End date: 2028-08-31
Duration (months): 36.0
Total project cost (EUR): 430343.4
EU funding (EUR): 430343.4
Participants: 2
Project status: SIGNED

Freshwater availability at and near the Earth’s surface is essential for sustaining human societies and ecosystems. However, predicting how water resources will evolve under the variable spatial and temporal patterns of global climate change remains a significant challenge. This challenge is further exacerbated by increasing human pressures on water resources due to population growth and economic development. The situation is particularly dire in regions already facing water scarcity, limited water management infrastructure, and insufficient data—such as much of the African continent, home to approximately 1.5 billion people and many of the world’s least developed countries. A critical aspect of this challenge is our limited understanding of how climatic and anthropogenic forces translate into changes in freshwater fluxes and storage. These responses in the hydrological cycle are generally nonlinear and nonlocal, varying across different timescales. Accurately capturing these dynamics requires a modeling approach that includes all main fluxes and stores across the landscape. Unfortunately, large-scale hydrological models often fail to faithfully represent these processes. To address this, I propose the development of a state-of-the-art, parsimonious hydrological model at the continental scale for Africa. This high-resolution (1 km) model will accurately represent the influence of climate on all hydrological components, enabling analysis at relevant spatial and temporal scales. By improving our understanding of groundwater-surface water interactions and their impact on water availability, the model will support analyses of future climate and water demand scenarios. These insights can be translated into actionable plans and policies to adapt to and mitigate the impacts of evolving water resources and climatic hazards across Africa.

Keywords: climate change,modelling,water availability,africa,water balance
Large-Area Perovskite Solar Module Manufacturing with High Efficiency, Long-Term Stability and Low Environmental Impact (LAPERITIVO)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Sustainable, secure and competitive energy supply
Action type: Innovation actions
Countries involved: Belgium,Italy,Greece,Netherlands,Germany,France,Morocco,Switzerland,United Kingdom,Sweden,Spain
Call: Large Area Perovskite solar cells and modules (HORIZON-CL5-2023-D3-02, 2023)
Start date: 2024-09-01
End date: 2028-02-29
Duration (months): 42.0
Total project cost (EUR): 7895865.89
EU funding (EUR): 6792147.26
Participants: 22
Project status: SIGNED

In recent years, organometal halide perovskite-based photovoltaics (PV) have attracted great interest for their high power conversion efficiency at low manufacturing cost. Presently, East Asia especially China and North America are rapidly ramping up towards mass production of perovskite PV. More efforts are urgently needed for perovskite PV upscaling in Europe. LAPERITIVO focuses on the development of large-area stable perovskite solar modules, using processes with high manufacturability. Efficiency targets are 22% and 20% for 900 cm2 opaque and semi-transparent (with >95% bifaciality) modules, respectively. Key research activities include the deposition of high-quality perovskite films as well as contacting layers over large substrate area using industrially viable techniques. Indoor and outdoor field tests, in line with International Electrotechnical Commission (IEC) standards, will be performed to monitor module reliability. Safety, circularity, and sustainability will be assessed to demonstrate products with minimized environmental impact. The developed semi-transparent modules will be applied to perovskite/silicon four-terminal tandem modules and also to Agrivoltaics. Design of perovskite PV pilot line of 200 MW and production capacity of 5 GW in Europe will also be explored. The well-balanced consortium consists of 22 complementary partners including 8 European leading research institutes/universities (IMEC, UNITOV, EMPA, Fraunhofer ISE, IPVF, CNRS, CSEM, Hellenic Mediterranean University), 1 African research institute (Green Energy Park, Morocco), 5 small and medium-sized enterprises (Becquerel Institute, Becquerel Institute France, Becquerel Institute Spain, Dyenamo, TSE Troller, SmartGreenScans, BeDimensional), and 6 big companies (Pilkington Technology Management Limited (PTML), Singulus Technologies, Voltec Solar, Engie, TotalEnergies, EDF). In this way, the project aims to establish the pathway to open the era of manufacturing perovskite-based next-generation PV products in Europe.

Keywords: perovskite,modules,scalable processes,manufacturing,pilot line,perovskite silicon four terminal tandem modules,agrivoltaics,reliability,sustainability,circularity
AI-based Learning for Physical Simulation (ALPS)

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: Denmark
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-09-01
End date: 2027-08-31
Duration (months): 60.0
Total project cost (EUR): 1315000.0
EU funding (EUR): 1315000.0
Participants: 2
Project status: SIGNED

Computational physical modeling is a key resource to complement theoretical and experimental methods in modern scientific research and engineering. While access to large amount of data has favored the use of Artificial Intelligence and Machine Learning (ML) techniques to enhance physical simulations, limitations of purely data-driven methods have emerged as concerns their generalization capability and their intelligibility. In particular, the latter feature promotes understanding, a fundamental driver for scientific and technical progress, and possibly allows to rigorously investigate the reliability of the models and the safety of the systems based on those models. To overcome these limitations, I propose a hybrid approach that originally combines ML methods and equation-based modeling to significantly improve generalization in small-data scenarios, while guaranteeing the intelligibility of the physical models through the use of symbolic representations. Core of the methodology are learning algorithms that reconstruct models with controllable complexity from data by consistently combining building blocks, which derive from a unifying mathematical framework for physical theories. The system will also incorporate novel human-inspired strategies for knowledge distillation, accumulation and reuse, which are missing in state-of-the-art physical model learning algorithms. To efficiently handle the computational cost associated with the proposed methods, I will implement them in a new software platform that seamlessly integrates automated model learning and high-performance simulation. Thanks to their general-purpose nature, the methods and algorithms developed in this project may be employed in all scientific disciplines and in engineering workflows. In particular, I plan to use them to advance biology and soft robotics by solving challenging modeling tasks.

Keywords: computational physics,machine learning
COMputational Analysis of PEripheral Literatures (COMPEL)

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: Spain,Brazil
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-04-01
End date: 2027-03-31
Duration (months): 24.0
Total project cost (EUR): 165312.96
EU funding (EUR): 165312.96
Participants: 3
Project status: SIGNED

The ability to attend to literary data in a variety of languages is crucial towards an understanding of literary practices across time and traditions. Yet few are the languages endowed with adequate computational resources for literary analysis. Increasing the resources enabling computational literary analysis in lesser-studied traditions is the goal of COMputational Analysis of PEripheral Literatures (COMPEL), focusing on Galician literature, a rich but peripheral tradition at the crossroads of two major romance literatures, Portuguese and Spanish. This will be an opportunity to study which features become canonical in a peripheral tradition compared to major traditions influencing it, with descriptive and predictive models. The project promotes a more inclusive and precise literary history via approaching a tradition little studied using computational means. By concentrating on Galician, a language covered by the European Charter for Regional or Minority Languages, the project contributes to European linguistic diversity goals. Beyond Galician, results are expected to be applicable to comparing core and peripheral literatures in other language contact settings, e.g. the influence of French and Spanish literature in Catalan or French and German literature in Alsatian. The project will focus on two genres, poetry and narrative, and two main Galician literature movements in the 19th century and at the turn of the 20th century; public domain texts will allow us to release project resources under open licenses. We will develop several methods to compare texts across literary traditions: Among others, a supervised learning method (perspectival modeling) based on versification features and content features, carrying out a cross-lingual comparison unattempted in earlier studies. By comparing a regional tradition with two major European ones, COMPEL helps promote a sense of European identity via smarter cultural heritage acess, a current EU priority.

Keywords: computational literary studies,versification,large language models,interpretability,peripheral literatures,neurosymbolic methods
Curing contaminated and saline land with Industrial crops and producing biomass for high-value applications (IASIS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Public-private partnerships
Destination: Circular Bio-based Europe
Action type: Research and Innovation actions
Partnership: CBE (JU-JTI)
Countries involved: Greece,Italy,Netherlands,Belgium,Poland,Portugal,France
Call: Phyto-management; curing soil with industrial crops, utilising contaminated and saline land for industrial crop production (HORIZON-JU-CBE-2023, 2023)
Start date: 2024-10-01
End date: 2028-09-30
Duration (months): 48.0
Total project cost (EUR): 4999900.01
EU funding (EUR): 4999900.0
Participants: 19
Project status: SIGNED

IASIS aims at providing solutions for curing both contaminated and saline land through phytomanagement. Selected high-yielding, non-food (industrial) crops will provide biomass feedstock to develop intermediate and end bioproducts, following a cascading biorefinery approach, via economic-viable value chains. Farmers will have an active role on how to remediate the contaminated and/or saline soils while generating additional income by providing sustainable feedstock for non-food value-added applications. In order for the main and specific objectives to be fulfilled a total number of 6 work packages have been designed. The work starts with the crops’ optimisation (improved genotypes) and phytomanagement strategies (microbial consortia) development (WP1) for both contaminated and saline soils that will be tested and validated both in lab scale and in field case studies (FCSs). FCSs will be set up (WP2) in eight sites in Europe (4 contaminated and 4 saline), where 8 high-yielding, non-food (industrial) crops will be grown, following low-input and phytomanagement practices, to produce feedstock for the value chains and the bio-products development (WP3) as well as to engage and train the farming community (WP2). Two main groups of bioproducts will be developed (WP3) based on the type of industrial crops exploited (oilseeds and lignocellulosic) and in total 10 intermediate and 10 end-products will be developed and tested. Sustainability and feasibility assessment will be carried out on the most promising biomass-to-products pathways (WP4). A Decision Support System, to assess the viability and the soil remediation of the proposed value chains, and applicable business models will be developed tailored to the IASIS needs that will be applied for the IASIS case studies but will be applicable beyond the project. The regulatory framework will be outlined, while policy recommendations will be proposed. WPs 5 & 6 are dedicated to project dissemination and coordination.

Keywords: phytomanagement,contaminated soils,saline soils,value chains
Unveiling the structural architecture of skin layers through cryo-electron microscopy (cryoDerm)

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: Austria
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 199440.96
EU funding (EUR): 199440.96
Participants: 1
Project status: TERMINATED

The skin is the largest organ of the human body. It has a variety of functions and it is organized in three different layers, the epidermis, dermis and hypodermis, all three of which have a different anatomy and function. The epidermis itself is also composed of several layers divided from the inside to the outside and these layers illustrate the various stages of keratinocyte differentiation, which is the process by which the basal layer proliferates and produces new cells that will differentiate towards the skin’s surface. Skin integrity is maintained by the relationship between keratinocytes and the specialized matrix of lipids they are embedded in. This project will use state-of-the-art cryo-focused ion beam scanning electron microscopy lift-out milling and cryo-electron tomography of natively preserved skin tissue to obtain insights into the ultrastructural organization of the epidermis. More specifically we aim to describe and quantify how the keratin microfilaments network is arranged throughout the skin layers and contributes to skin resilience and strength, and in what way this organization is correlated to the lipid formation and delivery. Our initial results reveal new insights into the architecture of the outermost skin layers, specifically their intermediate filaments organization and lipid layer organization to provide strength and separation between different cell layers, respectively. ISTA is the ideal research institute for this project, due to the abundant access to high-end electron microscopes necessary for this project achievement. The outcome of this will be a high resolution in situ structure architecture that will allow a better understanding of skin homeostasis. Results will be disseminated through key research conferences and high-impact open-access publications. Communication activities will be achieved through 3D rendered visual scientific illustrations targeting social media platforms and institute-organized public outreach events.

Keywords: cryo electron microscopy cryo electron tomography cryo fibsem skin epidermis keratinization