Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Renewable Electricity-Powered Plasma-Catalysis for CO2 Revalorization Process (REPCO2)

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: Spain
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 209914.56
EU funding (EUR): 209914.56
Participants: 1
Project status: SIGNED

The increasing levels of atmospheric carbon dioxide call for urgent solutions to reduce greenhouse gas emissions and support the shift toward a sustainable energy economy. REPCO2 (Renewable Electricity-Powered Plasma-Catalysis for CO2 Revalorization Process) is an interdisciplinary project that aims to develop new technology for CO2 valorization by creating innovative atmospheric pressure plasma configurations, exploring low-cost, environmentally friendly, and stable catalysts, and utilizing advanced in situ characterization under plasma conditions. Traditional thermal CO2 conversion methods typically require high temperatures and expensive catalysts, often containing precious metals. In contrast, non thermal plasma-catalysis offers a more energy-efficient and versatile alternative, operating under ambient conditions, such as room temperature and atmospheric pressure. In this way, inert molecules are activated by the plasma under mild conditions, and the resulting reactive species selectively recombine on the catalyst surface to form the desired products, thereby enhancing both chemical and energy yields. Rational design of catalysts tailored to the plasma environment, based on deep insights into the underlying mechanisms, is of particular interest as a novel approach. This requires fundamental studies to understand the potential synergy between plasma and catalyst. By optimizing the contributions of both plasma and catalysts, REPCO2 aims to increase reaction yields and promote the industrial application of atmospheric pressure plasma technology. The candidate will synthesize copper-based catalysts supported on zeolites. These plasma-catalyst systems will improve plasma-induced CO2 hydrogenation and dry reforming of methane (DRM) due to enhanced diffusion of reactants and plasma species, which may also prevent catalyst deactivation. Additionally, the cost-effectiveness of the synthesized systems will boost their potential for commercial applications.

Keywords: non thermal plasma catalysis,co2 valorization,zeolites,synergy,tailored catalyst synthesis,in situ characterization
Trusted lifetime in operation for a circular economy (ARCHIMEDES)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Public-private partnerships
Destination: Chips for Europe Initiative
Action type: Research and Innovation actions
Partnership: CHIPS (JU-JTI)
Countries involved: Austria,Germany,France,Latvia,Czechia,Lithuania,Greece,Ireland,Italy,Sweden,Taiwan, Province of China
Call: General according to ECS-SRIA 2022 (RIA) (HORIZON-KDT-JU-2022-2-RIA, 2022)
Start date: 2023-05-01
End date: 2026-04-30
Duration (months): 36.0
Total project cost (EUR): 39513768.81
EU funding (EUR): 11905842.66
Participants: 56
Project status: SIGNED

Climate change, CO2 footprint, energy transition, safety & security as well as sovereignty are key issues that the common population can very well relate to today. As we face critical challenges, research and development in our ECS domain needs to address them more than ever. In particular the energy transition needs to be accelerated in order to become more independent from gas and oil energy, which was considered being available at low costs and without limits until recently. This assumption has been proven to be based on very fragile grounds and it has come to an end. One solution to accelerate the energy transition is to use all generated energy. This means that overflow energy produced in wind or solar parks needs to be available in periods when common energy generation is lacking. This requires important investments into infrastructure, which will only flow, if investors trust into the technologies enabling solutions. The faster the trust is built, the faster the transition can be realized. On the other hand, technologies and products that will ensure an economic use of resources and enable long and trusted lifetime of systems and components in the ECS domain have to be developed. ARCHIMEDES contributes to this in the domains of automotive, aviation and industry. In ARCHIMEDES, components, models and methodologies to increase the efficiency and lifetime of the propulsion components, power components and energy storage devices in automotive, aviation and industry will be developed. This will support the energy transition on the consumer`s side. In order to support this mission, ARCHIMEDES aims to change technologies and products in the automotive, aviation, infrastructure domains and the related ecosystem towards a resilient, de-carbonized, digitalized, and green EU: It will help building trust in the new technologies and thus contribute to accelerating the energy transition, safety and security.

Keywords: energy transition,de carbonization,digitalization,standardization,trusted lifetime,electrification
High Temperature Dynamics of Metals and the Earth’s Solid Inner Core (HotCores)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced 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 ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2022-12-01
End date: 2027-11-30
Duration (months): 60.0
Total project cost (EUR): 2498805.0
EU funding (EUR): 2498805.0
Participants: 2
Project status: SIGNED

The Earth’s inner-core (IC) is 1220 km radius planet within the Earth, made of solid iron (Fe) crystallizing from the outer core (OC) as the Earth cools down. The IC affects our life at the surface; its growth provides a major source of energy for maintaining the Earth’s magnetic field. One may view the IC as a freezing ball of Fe floating at the center of the OC, but seismic exploration reveal structures of increasing complexity, raising fundamental questions on the history and internal dynamics of the IC. Geophysical observations unearth the IC as it is today. Understanding the history of the IC and the effect of the IC on the global Earth dynamics, however, requires a reconstruction based on today’s observations and knowledge of the physical properties of the IC Fe alloy, how they could affect IC dynamics, and their relation with present-day geophysical observables. There are significant knowledge gaps and outdated principles regarding the underlying physical properties of the IC Fe alloy. The IC temperature is close to melting, and the IC might even be partially molten. How does temperature affect of the mechanical properties of the IC Fe alloy? What is the effect of temperature and partial melting on seismic observables such as wave travel time and attenuation? This is poorly known and it hinders our interpretation capability of the ever-growing body of geophysical observations. In HotCores, advanced high pressure and/or high temperature experiments will be performed on Fe alloys and analogues. I propose to reenact key events of the history of the IC in the laboratory, as Fe crystallizes at the inner-outer-core boundary, as the IC grows and dynamically evolves to its present state, and as we see it today through the lenses of geophysical exploration. What is the structure and dynamics of the IC? How will the IC evolve in the future? HotCores aims at providing the mineralogical foundation that will help solving these mysteries.

Keywords: iron,earth core,viscoelasticity,high pressure,deformation,plasticity,anisotropy,extreme conditions
REFURBISHMENT AND ADDITIVE MANUFACTURING ACCOMPLISHED BY KINETIC DEPOSITION (RE-MAKE)

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: Italy,Ireland,Finland,Germany,Spain,United Kingdom,France,Czechia,Netherlands
Call: MSCA Doctoral Networks 2022 (HORIZON-MSCA-2022-DN-01, 2022)
Start date: 2023-10-01
End date: 2027-09-30
Duration (months): 48.0
Total project cost (EUR): 2747162.06
EU funding (EUR): 2635502.4
Participants: 17
Project status: SIGNED

Ambitious goals of the European Green Deal call for new sustainable and material-efficient manufacturing technologies that can reduce energy and raw material consumption; this objective can be upheld by extending the product life via optimized production methods, recovering product performance through refurbishing, and even improving its functions beyond design by remanufacturing. These are the overarching objectives of RE-MAKE that considers cold spray (CS), a solid-state metal powder deposition technique, as the key for a new route to additive manufacturing (AM), repair and remanufacturing. Thanks to its exceptional deposition efficiency, high build-up rate, limited energy consumption, and flexibility of material choice, CS is an ideal candidate for the EU Circular Economy Action Plan. However, currently, there are multiple scientific and industrial gaps, paired with poor awareness about CS’s potential due to the lack of qualified engineers and scientists, that impede the full exploitation of CS. RE-MAKE is planned to establish CS as a unique sustainable and scalable tool for AM, remanufacturing and upcycling, paving the path to a green and efficient sustainable industrial development. This ambitious goal will be achieved by training highly qualified doctoral candidates (DCs) through advanced transversal and inter-sectoral training. The wide-ranging hard and soft skills the DCs will gain enable them to embark on tackling scientific and technological challenges with a practical perspective. Creating a network of leading European research and industrial partners, all working at the cutting edge of CS, will expose DCs to a holistic training with access to a wealth of expertise and a rare multidisciplinary environment. RE-MAKE will endow a first cohort of these essential researchers with a deep, discipline-specific knowledge, that will fulfil the increasing demand of the manufacturing industry for this missing profile.

Keywords: cold spray,additive manufacturing,artificial intelligence,lca
Accelerated Seaweed Production for Innovative and Robust seaweed aquaculture in Europe (ASPIRE)

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: Ireland
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): 215534.4
EU funding (EUR): 215534.4
Participants: 2
Project status: CLOSED

The ASPIRE project will develop fast growing seaweed strains to strengthen Europe’s potential to thrive in an emerging seaweed aquaculture industry. Seaweed cultivation is the fastest growing aquaculture sector and provides huge potential for market growth in Europe. The red algae Palmaria palmata is one of the target species of a growing European seaweed industry due to its high content of protein (20–35%), essential minerals and its appealing flavour. Recently, there has been significant advancements in the aquaculture procedures for Palmaria, but these approaches are still mainly built on the utilisation of randomly collected wild-types of Palmaria. A targeted strain selection has therefore huge potential to increase the prospects of Palmaria aquaculture in Europe. The objective of the ASPIRE project is to screen and characterise high- yielding and robust Palmaria strains. This will be implemented utilising high-throughput phenotyping technologies using performance screening (growth, morphology characteristics and photosynthetic parameters) and metabolomic analysis (primary/secondary metabolites using GC-MS, spectrophotometer, NMR etc.). These results in conjunction with next generation sequencing (Illumina seq.) and bioinformatics tools (TASSEL pipeline) will be utilised to identify both biochemical and genetic markers of high-yielding Palmaria strains. To ensure that the results have a high impact and find their way to the commercial end-user, the project will establish a novel and easy-to-use web-based database (MySQL, VueJS) specifically designed for use by the aquaculture stakeholders. The ASPIRE project will conduct farm-level trials to validate the advantages of growing the selected elite seaweed strains in terms of productivity and overall biomass quality. The multi-disciplinary project will set the bases for an urgently needed modern seaweed breeding programme to further develop the emerging European seaweed aquaculture sector.

Keywords: macroalgae,palmaria palmata,seaweed aquaculture,strain selection
Deformation Theory of infinite-type hyperbolic manifolds (DefHyp)

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: Mathematics
Countries involved: Ireland,United Kingdom
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-07-01
End date: 2025-07-31
Duration (months): 25.0
Total project cost (EUR): 175920.0
EU funding (EUR): 175920.0
Participants: 3
Project status: CLOSED

Hyperbolic geometry, and its connection to 3-dimensional geometry, have been a key topic in contemporary mathematics, leading for instance to the resolution of the Poincaŕe Conjecture (2006) and to the Fields medals awarded to Thurston (1982), McMullen (1998), Perelman (2006, declined) and Mirzakhani (2014). The project will enter the unexplored territory that opens when removing this fundamental hypothesis. Specifically, the PI plans to attack the very challenging problem of understanding the space of hyperbolic metrics on 3-manifolds that have a non-finitely generated fundamental group. The project lies at the intersection between the study of the topology and geometry of hyperbolic 3-manifolds and is well-suited to the complementary expertise of the PI and his supervisor, professor Schlenker, the PI being an expert of the topology of infinite-type 3-manifolds and the supervisor being an expert in hyperbolic geometry. An essential aspect of this research program is understanding the interplay between the topology and the geometry of infinite-type hyperbolic manifolds with the goal to borrow insights from each side to address issues in the other. One of the first objectives is to understand, by looking at topological properties, how much of the rich theory of the finite-type setting extends to the case where the fundamental group is not finitely generated. The second objective is more geometric and plans to study infinite-type 3-manifolds by seeing them as geometric ‘limits’ of finite-type hyperbolic 3-manifolds and looking at which geometric, or topological, aspects survive in the limit. The second part of the project will involve, under the direction of professor Krasnov, is to investigate the AdS-CFT correspondence, an important conjectural relationship linking quantum gravity (formulated as M-theory) in M and conformal field theories (CFT) in the boundary of M, using tools from hyperbolic geometry, e.g. renormalised volume.

Keywords: hyperbolic geometry,deformation theory,low dimensional topology,ads cft correspondence
Robust Learning and Reasoning for Complex Event Forecasting (EVENFLOW)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: A human-centred and ethical development of digital and industrial technologies
Action type: Research and Innovation actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: Belgium,Luxembourg,Greece,Spain,Germany,Italy,United Kingdom
Call: Verifiable robustness, energy efficiency and transparency for Trustworthy AI: Scientific excellence boosting industrial competitiveness (AI, Data and Robotics Partnership) (RIA) (HORIZON-CL4-2021-HUMAN-01, 2021)
Start date: 2022-10-01
End date: 2025-12-31
Duration (months): 39.0
Total project cost (EUR): 3431000.0
EU funding (EUR): 3431000.0
Participants: 8
Project status: SIGNED

A growing number of applications rely on AI-based solutions to carry-out mission-critical tasks, many of which are of temporal nature, dealing with ever-evolving flows of information. Crucial for mitigating threats and taking advantage of opportunities in such domains, is the ability to forecast imminent situations and critical complex events ahead of time. EVENFLOW will develop hybrid learning techniques for complex event forecasting, which combine deep learning with logic-based learning and reasoning into neuro-symbolic forecasting models. The envisioned methods will combine (i) neural representation learning techniques, capable of constructing event-based features from streams of perception-level data with (ii) powerful symbolic learning and reasoning tools, that utilize such features to synthesize high-level, interpretable patterns of critical situations to be forecast. Crucial in the EVENFLOW approach is the online nature of the learning methods, which makes them applicable to evolving data flows and allows to utilize rich domain knowledge that is becoming available progressively, over time. To deal with the brittleness of neural predictors and the high volume/velocity of temporal data flows, the EVENFLOW techniques will rely on novel, formal verification techniques for machine learning, in addition to a suite of scalability algorithms for federated training and incremental model construction. The learnt forecasters will be interpretable and scalable, allowing for fully explainable insights, delivered in a timely fashion and enabling proactive decision making. EVENFLOW will be evaluated on three challenging use cases related to oncological forecasting in precision medicine, safe and efficient behavior of autonomous transportation robots in smart factories and reliable life cycle assessment of critical infrastructure.

Keywords: neuro symbolic learning,deep learning,artificial intelligence,complex event forecast,interpretability,explainable ai
Origins of Gender Inequality: Success, Failure, and Pressure (React2Success)

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: Economic Sciences
Countries involved: Spain
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-07-01
End date: 2028-06-30
Duration (months): 24.0
Total project cost (EUR): 194074.56
EU funding (EUR): 194074.56
Participants: 1
Project status: SIGNED

Reducing gender inequality is one of society’s greatest challenges and a top priority of the European Commission as reflected in its Gender Equality Strategy 2020-25. One of the UN Global Goal targets is ensuring women’s effective participation at all levels of decision-making in political, economic and public. Yet, only around a third of managers in the EU are women (2022 SDG statistics). Why? The objective of React2Success is to uncover how gender behavioural differences in reaction to success and failure under competitive pressure influence gender gaps in educational and career paths and, ultimately, unpack the mechanisms by which gender inequality persists. Providing causal evidence on gender gaps in reaction to performance shocks in competitive settings —such as job applications for leadership roles or high-stakes exams— remains challenging. In real-life settings, gender differences in preferences for competition result in self-selected samples, while in tournament-like lab experiments incentives often differ from real-world conditions. React2Success aims to fill this gap. I will take an interdisciplinary theoretically-driven Big Data approach by linking detailed population-level administrative records of both low-stakes high school and high-stakes university admission examinations with information on non-cognitive and long-term socio-economic outcomes from experimental survey data to: First, document gender gaps in response to competitive pressure in a real-life setting addressing concerns of sample-selection bias and external validity. Second, examine gender differences in reaction to success and failure in a high-stake competitive setting and shed light on the behavioural mechanisms at work. React2Success will also go beyond its immediate scope to establish the long-term socio-economic impact of these gender gaps and supply scientific evidence for devising cost-effective policies to tackle persistent equality issues in the allocation of talent.

Keywords: gender economics applied microeconomics education gender inequality
Fair Data and Innovative Services for Magnifying the Climate Adaptation potential of European Communities (CLIMATE-ADAPT4EOSC)

Framework: Horizon Europe — Excellent Science
Programme: Research infrastructures
Theme: Research infrastructures
Destination: EOSC ecosystem
Action type: Research and Innovation actions
Partnership: EOSC (co-programmed)
Countries involved: Greece,France,Portugal,United Kingdom,Poland,Türkiye,Norway,Cyprus
Call: FAIR and open data sharing in support of the mission adaptation to climate change (HORIZON-INFRA-2024-EOSC-01, 2024)
Start date: 2025-01-01
End date: 2028-12-31
Duration (months): 48.0
Total project cost (EUR): 7983031.25
EU funding (EUR): 7983031.25
Participants: 18
Project status: SIGNED

Adaptation to climate change has become a central focus for researchers across various fields, including climate science, environmental science, urban planning, information science and social science, to support policymakers in making informed decisions to build a climate-prepared and resilient society. The major challenges in achieving this goal are (i) lack of seamless interaction between platforms, data spaces, and users, (ii) poor data interoperability as well as service interoperability, (iii) lack of infrastructural support for generating FAIR data, and (iv) legal barriers hindering access to data. CLIMATE-ADAPT4EOSC aims to overcome these challenges by providing an EOSC-centred collaborative research environment equipped with existing EOSC data and services and extended with new data and services, such as Interoperability, FAIRification, Research Results Publishing as Open Data, Data Adaptation, Data Format Compliancy, Mapping and Entity Matching, enabling interoperability and seamless interaction of data that allow the creation of extended services, e.g., Big Data Analytics for climate risk assessments. The project develops a climate change adaption ontology and an EOSC Climate-Adapt Knowledge Graph based on the ontology, supporting findability, accessibility, tracking and life cycle management of research outputs of various kinds, including data, scientific papers, methods, code, software packages and tools. CLIMATE-ADAPT4EOSC also develops three innovative services that provides support to EU Mission climate change adaptation and the European Green Deal. These services have been planned to be demonstrated in Five EU countries.

Keywords: climate adaptation,services,fair open data,innovative services,co design