Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Developing high energy density fast charging lithium sulfur battery (FASTLISBAT)

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: United Kingdom
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): 260347.92
EU funding (EUR): 260347.92
Participants: 1
Project status: SIGNED

The EU Green Deal Action Plan identifies electric vehicles (EVs) as key to reducing emissions from transportation. Adoption of EVs is closely linked to progress in rechargeable battery technology. While lithium ion (Li-ion) batteries dominate the EV market, there is a need to develop safe batteries that provide high energy density, fast charging, and are free of expensive metals such as Ni/Mn/Co – as outlined in “Battery 2030+” roadmap. Lithium-sulfur (Li-S) batteries are promising for beyond Li-ion battery technology because they possess high theoretical specific energy density of 2600 Wh kg-1. This, combined with the fact that Li-S batteries use earth abundant materials with readily available supply chain, makes them the most viable technology for achieving batteries with energy densities exceeding 500 Wh kg-1. The major challenges facing of Li-S batteries that have hindered their commercialization are sluggish reaction kinetics, lithium polysulfide shuttling, and unstable lithium metal anode. The project addresses these challenges and aims to realize practical and safe Li-S batteries with energy densities of 500 Wh kg-1, stable cycling, and fast charging based on recent discoveries by the applicant and the host laboratory. The MSCA-PF in the host group will allow the applicant to make significant research progress and develop soft skills that will significantly enhance the applicant’s career prospects.

Keywords: lithium sulfur,lithium metal anode,quasi solid state electrolyte,fast charging,practical pouch cells,in situ characterization,micro optical cell,in situ cell
ReGeneratIoN of NeiGhbourhoods through placE-based appRoaches (GINNGER)

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
Partnership: B4P (co-programmed)
Countries involved: Spain,Greece,Belgium,Italy,France,Denmark,Bulgaria,Switzerland
Call: Solutions for the sustainable, resilient, inclusive and accessible regeneration of neighbourhoods enabling low carbon footprint lifestyles and businesses (Built4People) (HORIZON-CL5-2022-D4-02, 2022)
Start date: 2023-11-01
End date: 2027-10-31
Duration (months): 48.0
Total project cost (EUR): 6511089.5
EU funding (EUR): 5664921.0
Participants: 24
Project status: SIGNED

GINNGER will ease the regeneration of neighbourhoods and built environments through the implementation of co-creation processes in heterogeneous stakeholders’ structures. This will facilitate the planification and implementation of actions in local environments, leading to a reduction of social, environmental, technological and economic risks thus to deliver healthy, affordable and sustainable built environments in EU. The project will create positive social impact in neighbourhoods by stablishing and validating the GINNGER co-creation methodology aimed at supporting decision-making procedures for regeneration actions. The co-creation methodology will rely on SSH innovations for social progress and the enhancement of public policies. The project will put special emphasis on the validation of the co-creation methodology in 6 pilots: P1. Langreo (ES), P2. Plovdiv (BG), P3. Massagno in (CH), P4. Murcia (ES), P5. Orte (IT) and P6. Paris (FR). Within these pilots, the co-creation methodology will support the implementation of 21 Regeneration Actions. Moreover, GINNGER will set-up a local figure called the Green Neighbourhood Facilitator, which will ensure that voices across pilots are heard and will lead the capacity buildings actions at local level. To complement the implementation of the regeneration actions from a technical perspective, GINNGER will develop and validate a digital toolkit to support the planification, implementation and operation of the regeneration actions. The digital toolkit will be composed by a total of 13 digital solutions grouped into four blocks dealing with Energy, Renovation, Resources and Mobility. As a result, GINNGER will set long-term strategies for the planification and implementation of cooperative models for neighbourhood regeneration, facilitated by the generation of 14 key exploitable results during the project. The implementation of such an ambitious project requires of a consortium of 24 partners from 8 EC member states.

Keywords: regeneration actions,social innovation,co creation,social sciences and humanities,digital solutions,energy communities,sustainable mobility,energy,renovation,circularity
balancing Nitrogen and Phosphorus flOWs by budgEting at Regional scale (NPower)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Clean Environment and zero pollution
Action type: Innovation actions
Countries involved: Spain,Belgium,Ireland,France,Finland,Switzerland
Call: Demonstrating how regions can operate within safe ecological and regional nitrogen and phosphorus boundaries (HORIZON-CL6-2024-ZEROPOLLUTION-01, 2024)
Start date: 2025-01-01
End date: 2028-12-31
Duration (months): 48.0
Total project cost (EUR): 9538531.25
EU funding (EUR): 8953480.25
Participants: 25
Project status: SIGNED

Adopting effective technologies and practices to improve the management of N/P flows remains a challenge. Additionally, the local dimension of N/P sources and the diversity of water and soil ecosystems across different locations limit the impact of uniform policy measures and related governance models. Addressing this is a priority of EU environmental governance. NPower will create four Regional Clusters (RCs), to guarantee representativity, replicability and impact of developed solutions at EU level: RC1 in Spain (representing South Europe), RC2 in Belgium (Central Europe), RC3 in Finland (North Europe), and RC4 in Ireland (West/Insular Europe). We will act in the paradigmatic region of Murcia, Spain, in which the main challenges of the management of N/P flows are represented, and involve the other 3 RCs to assure the solutions developed are applicable in as many European realities as possible, helping restore ecosystems across the EU. To do so, NPower will 1) model N/P flows across the 5 key sectors to create a regional N/P budget for RC1, 2) demonstrate 6 recovery technologies, 8 recovered fertilizers and 20 BMPs within and among covered sectors that reduce and promote circular economy schemes, 3) design and showcase region-tailored governance measures to halt air, water, and soil N/P pollution, 4) guarantee EU representativity via knowledge transfer among RCs, and 5) disseminate effective N/P limiting solutions to practitioners and policy makers at local, regional, national and EU level. NPower solutions will be assessed on their environmental, socio-economic and behavioural effect. NPower will avoid the emission of 483 k ton N and 2.1 M ton P, saving the EU 14.3B€. Guidance for practice and recommendations will contribute to harmonised regional policies and regulations in line with the key EU directives and strategies (Water Framework Directive, Nitrates Directive, European Green Deal, Clean Environment & Zero Pollution ambition, and Bioeconomy Strategy.

Keywords: nitrogen,phosphorus,pollution,nutrients,n p recovery technologies,n p budget,governance solutions,circular economy,bioeconomy,regional sustainability,regional policies,recovered fertilisers
Representation theory, equivariant topology and Langlands duality via fixed point schemes (ViaFiPoS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Austria
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2026-03-01
End date: 2031-02-28
Duration (months): 60.0
Total project cost (EUR): 2499576.0
EU funding (EUR): 2499576.0
Participants: 1
Project status: SIGNED

We propose a three-way dictionary between representation theory of complex semisimple Lie groups, equivariant topology of affine Schubert varieties and mirror symmetry for Langlands dual Hitchin systems via the language of fixed point schemes. This unified framework will yield new insights and advances within these fields, with applications extending to other areas of mathematics and quantum physics. We introduce big algebras, which are commutative algebras attached to representations of complex semisimple Lie groups. We view them as commutative avatars of the representation because they bring together a wealth of sophisticated information, including a novel ring structure on multiplicity spaces, the weight diagram and crystal structure. We geometrize the study of equivariant cohomologies of various varieties with group action by representing them as rings of functions of certain fixed point schemes of the group action. Adopting this perspective, we propose novel scheme-theoretic counterparts to several fundamental constructions in algebraic topology, such as equivariant integration, Hodge and Lefschetz theory. For affine Schubert varieties, these counterparts offer an alternative topological approach to understanding big algebras. Due to our central observation that the Hitchin integrable system on various Lagrangians can be modelled by the spectrum of equivariant cohomology and big algebras, we propose a host of computational tests of conjectured mirror branes of Kapustin–Witten in Langlands dual Hitchin systems. We explore several applications, including polynomial relationships between quantum numbers in baryon multiplets; a big algebra approach to Kashiwara’s conjecture on affine crystals; compatibility with Langlands duality, endoscopy, transfer and character formulas in the relative Langlands program; geometrization of various q = −1 phenomena and cyclic sieving in algebraic combinatorics.

Keywords: representations of lie groups,group actions on varieties,equivariant topology,hitchin integrable system,langlands duality
Brownian Motion near Soft Interfaces (EMetBrown)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Condensed Matter Physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: France
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): 1999348.75
EU funding (EUR): 1999348.75
Participants: 1
Project status: SIGNED

Soft and wet contacts are ubiquitous across scales from geology to physiology and are crucial for engineering. Furthermore, many processes of physics and biology at small scales are governed by the mobility of microscopic entities in soft and confined environments, with the aim of reaching specific targets. Interestingly, an emergent elastohydrodynamic (EHD) lift force was theoretically predicted recently for an immersed object moving near an elastic wall. An active community, including the PI, has started to explore this striking effect with various deterministic models and experiments, showing its relevance for nanoscale and biomimetic systems. In this context, and moving beyond the deterministic, the PI’s central claim is that such EHD effects can be spontaneously triggered by thermal fluctuations. The result would be an original migration scenario in complex and confined environments – with enormous implications. However, studies are scarce on the topic. The ambition of EMetBrown is thus to address this challenge at the interface between two mature fields, by solving a fundamental problem involving both continuum and statistical mechanics: Brownian motion near soft interfaces. The three objectives are to reveal, explore and harvest the signatures of such motion, paving the way towards the future design of methods for particle transport, surface patterning, confined reactions and nanorheology. These objectives will be reached using a combination of experiments, theory and numerics, domains in which the PI has extensive experience. EMetBrown involves three core experimental setups (free colloids, optical trapping and atomic-force microscopy), three core theoretical models (soft lubrication, stochastic theory and Langevin simulations) and three exploratory tools (microfluidics, suspension rheometry and molecular dynamics). These complementary methods will be employed through four work packages covering various viscous, hard, soft materials, as well as applied flow.

Keywords: soft matter,stokes flows,interfacial flows,thin films,lubrication,soft lubrication,contact mechanics,surface forces,elastic materials,colloids,brownian motion,diffusion,fluctuations,biological motility,rheology,elastomers,gels,microfluidics,nanofluidics
Interactive and Explainable Human-Centered AutoML (ixAutoML)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-12-01
End date: 2027-11-30
Duration (months): 60.0
Total project cost (EUR): 1459763.0
EU funding (EUR): 1459763.0
Participants: 1
Project status: SIGNED

Trust and interactivity are key factors in the future development and use of automated machine learning (AutoML), supporting developers and researchers in determining powerful task-specific machine learning pipelines, including pre-processing, predictive algorithm, their hyperparameters and--if applicable--the architecture design of deep neural networks. Although AutoML is ready for its prime time after it achieved impressive results in several machine learning (ML) applications and its efficiency improved by several orders of magnitudes in recent years, democratization of machine learning via AutoML is still not achieved. In contrast to previously purely automation-centered approaches, ixAutoML is designed with human users at its heart in several stages. First of all, the foundation of trustful use of AutoML will be based on explanations of its results and processes. Therefore, we aim for: 1. Explaining static effects of design decisions in ML pipelines optimized by state-of-the-art AutoML systems. 2. Explaining dynamic AutoML policies for temporal aspects of dynamically adapted hyperparameters while ML models are trained. These explanations will be the base for allowing interactions, bringing the best of two worlds together: human intuition and generalization capabilities for complex systems, and efficiency of systematic optimization approaches for AutoML. Concretely, we aim for: 3. Enabling interactions between humans and AutoML by taking human's latent knowledge into account and learning when to interact. 4. Building first ixAutoML prototypes and showing its efficiency in the context of Industry 4.0. Perfectly aligned with the EU's AI strategy and recent efforts on interpretability in the ML community, we strongly believe that this timely human-centered ixAutoML will have a substantial impact on the democratization of machine learning.

Keywords: automated machine learning,interpretability,human centered ai
Fostering Excellent Research, Training and Innovation in Biomedical Data Science (BIOMICS)

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: Coordination and support actions
Panel: Life Sciences
Countries involved: Spain,Germany,Switzerland,Portugal
Call: Twinning Bottom-Up (HORIZON-WIDERA-2023-ACCESS-02, 2023)
Start date: 2024-10-01
End date: 2027-09-30
Duration (months): 36.0
Total project cost (EUR): 1493729.38
EU funding (EUR): 1493729.38
Participants: 5
Project status: SIGNED

The Instituto de Medicina Molecular João Lobo Antunes (iMM) is a leading European institute in basic biomedical research, now establishing a pioneering Centre of Excellence in human-centred clinical and translational research in Portugal. Research at iMM increasingly requires analysing large volumes of molecular, phenotypic and clinical data but its development is constrained by the national scarcity of experts in biomedical data science. BIOMICS is therefore set on iMM’s strong data-driven research and innovation (R&I) model and investment on the digital transformation of biomedical and clinical research. BIOMICS aims at: 1) leveraging iMM’s excellence in biomedical data science by implementing joint research projects with the partner institutions, strengthening existing interactions and promoting new ones, through staff exchanges, expert visits and joint lab retreats; 2) training a new generation of critically thinking and ethically aware researchers who are able to test scientific hypotheses on biomedical data and soundly interpret their results, through integration in international mentoring networks, facilitating conference and thematic course attendance, and organising on-site training; 3) enhancing international awareness and attract talent to iMM in data science, through mobility of researchers, targeted dissemination and communication activities, and on-site organisation of workshops and an international conference; 4) strengthening iMM’s entrepreneurial and innovation capacity, adapting it to the digital transformation of biomedical and clinical research, through professional technology transfer activities and synergies with the information technology industry. BIOMICS will sustainably leverage iMM’s timely R&I model by supporting the associated digital transformation, making iMM internationally competitive in biomedical data science. Moreover, BIOMICS will provide the partners with a platform for exploring the translational potential of their research.

Keywords: human molecular variation alternative splicing protein protein interaction signalling networks evolutionary medical genomics translational research digital transformation critical thinking
Bridging scales for integrated high-resolution modeling of the long-term transition to sector-coupled net-zero energy systems (BRIGHT)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Human Mobility, Environment, and Space
Panel description: Human geography, demography, health, susta inability science, territorial planning, spatial analysis
Countries involved: Germany
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2026-01-01
End date: 2030-12-31
Duration (months): 60.0
Total project cost (EUR): 2493601.0
EU funding (EUR): 2493601.0
Participants: 2
Project status: SIGNED

The rapid growth of solar and wind power, as well as demand electrification technologies, increasingly underscores that successful climate change mitigation strategies will heavily rely on sector-coupled energy systems, in which renewables-dominated electricity is used for previously non-electric end-uses and fuels. Under such sector-coupling, the integration of variable renewable energy (VRE) and demand-side electrification are highly synergistic; cheap VRE makes electrification attractive, while flexibilization of vehicle charging or heat generation reduces reliance on more expensive VRE integration options. Energy modeling tools that inform both policy and the private sector either focus on long-term temporal and spatial scales to understand the transition to climate neutrality (Integrated Assessment Models (IAMs)), or on shorter scales relevant for power system operation, VRE integration and sector coupling (Power System Models (PSM)). However, no single tool captures both scales with high detail, leading to an increasingly critical knowledge gap that results in the risk of misallocation of substantial future investments. BRIGHT will bridge this gap by a first-of-its-kind bidirectional coupling of a global IAM with a PSM, combining the strengths of both. It is organized in five work packages: A method-focused WP1 on establishing the model coupling; three WPs on advanced modeling and analysis of sector transitions in transport (WP2), buildings (WP3), and industry (WP4); and a final WP5 that synthesizes insights to enhance energy transition scenarios for Europe, other major economies, and global Paris-aligned climate change mitigation pathways. BRIGHT will inform climate policy and business on crucial questions such as the cost and achievability of climate stabilization targets, residual fossil emissions, and the role of renewable energy technologies and electrification in competition with structurally conservative mitigation options like CCS, biomass or nuclear.

Keywords: integrated assessment modeling variable renewable energy sector coupling energy economics