Data-Gouv-ML/pcri-actions-marie-curie-participations-et-projets-laureats huggingface dataset:
Projet QUBITTO (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - Global Fellowships
Panel : Physics
Statut du projet : SIGNED

Quantum information (QI) plays a fundamental role in modern physics, offering profound insights into the nature of reality and driving transformative technological advancements. The research project "QUBITTO: Holographic Quantum Information: Building Bridges Between Measures in Quantum Information Theory and Gravity" aims to employ QI measures and explore their connections with holographic duals. By doing so, it seeks to describe and characterize quantum systems, such as quantum field theory (QFT) and conformal field theory (CFT), and to uncover universal relations within these theories. The objectives of QUBITTO are: i) Ascertain connections between energy functionals in mathematics and holographic entanglement entropy. ii) Breaking down QFTs with defects using QI measures. iii) Constrain the space of QFTs using QI. This multidisciplinary project integrates theoretical approaches from various fields to advance our knowledge of quantum entanglement, black hole thermodynamics, condensed matter physics, and the fundamental nature of the universe.  Our proposal QUBITTO represents an innovative approach made possible by the synergistic knowledge and expertise of three world-leading institutions in (holographic) QI measures and their application to QFTs and CFTs: the Institut de Ciències del Cosmos at the Universitat de Barcelona (coordinator institution), the Yukawa Institute for Theoretical Physics at Kyoto University (associated institution), and the Instituto Balseiro at Centro Atómico Bariloche (secondment institution).  The successful completion of QUBITTO will enable me to acquire transformational knowledge in a wide range of holographic QI measures with applications in defect quantum systems, and it will constitute a major first step toward initiating my independent academic career. Concurrently, it will offer the scientific community valuable insights into current well-defined fundamental challenges and open the door to potential technological advancements.

Mots clés : quantum information, entanglement entropy, ads cft, conformal field theory, quantum gravity

Participants :
- Université de Barcelone (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 408890.88 €
- Université de Kyoto (Japon) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Commission nationale de l'énergie atomique (Argentine) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet RAPPID (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Chemistry
Statut du projet : SIGNED

Within RAPPID, I will develop a relativistic real-time time-dependent density functional theory (RT-TDDFT) based approach for simulating out-of-equilibrium processes observed in modern attosecond pump−probe spectroscopies. Their theoretical description presents a formidable task owing to the intricate interplay of electronic and nuclear motions, ionization processes and relativistic effects hallmarked for high energy x-ray photons. Our objective is to address all these challenges through the formulation and implementation of mixed quantum-classical electron-nuclear dynamics based on Ehrenfest approach embedded with adaptive scheme with flexible Gaussians to solve the time-dependent electronic equation-of-motion for capturing ionization processes. The backbone of these developments will be the state-of-the-art relativistic atomic mean-field exact two-component (amfX2C) Hamiltonian within the context of RT-TDDFT. These goals will be achieved by combining my expertise on ab-initio theory of ionization processes with the expertise of Dr. Repisky in development and implementation of novel relativistic approaches. In summary, RAPPID will deliver an advanced relativistic framework which is capable of describing ultrafast electron-nuclear processes including valence and core states for elements across the periodic table, and aligns synergistically with ongoing experimental endeavours performed for instance in European-XFEL or ELI-ALPS.

Mots clés : attosecond dynamics, electron nuclear coupling, real time, relativistic hamiltonian, charge transfer, ultrafast processes, beyond born oppenheimer approximation

Participants :
- Université d'Oslo (Norvège) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université Comenius de Bratislava (Slovaquie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 165059.52 €
Projet AI4Bat (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Chemistry
Statut du projet : SIGNED

Battery technology is critical to achieving global decarbonization, but the commercialization of high-energy Li-metal batteries has been stalled for decades due to safety risks and limited lifespan. These issues stem from the failure of the solid electrolyte interphase (SEI) on the Li-metal anode. Conventional carbonate-based electrolytes lead to an organic-rich SEI that is porous, ionically insulating, prone to dendrites formation, dissolution, and electron tunneling, resulting in continuous battery degradation. In contrast, an inorganic-rich SEI, formed by anion decomposition, is dense, insoluble, electron-insulating, mechanically robust, and dendrite-free—offering a path toward safer and more durable batteries. Weakly solvating electrolytes (WSE) have emerged as a promising solution for creating such SEIs, but their development remains slow, relying on inefficient trial-and-error methods. The AI4Bat project aims to revolutionize this process by developing an AI-model capable of predicting optimal solvents to form WSEs for Li, Na, and Mg-metal batteries. Starting with Li-metal batteries, the AI-model will link solvent properties to anion reduction in the electric double layer using atomic simulations. This model will then screen new solvents from extensive databases, which will be formulated into WSEs and tested in pouch cells. The performance of these WSEs will be rigorously evaluated, focusing on the inorganic, ion-conductive, electron-insulating, mechanical properties and insolubility of the SEI, and correlated with overall battery performance. Upon successfully validating the AI-model in Li batteries, I will transfer it to Na/Mg-metal batteries to enhance their electrochemical performance through the development of robust inorganic-rich SEIs. This project will significantly accelerate the design of safer, high-performance batteries, paving the way for next-generation energy storage and conversion technologies.

Mots clés : solid electrolyte interphase sei , artificial intelligence, weakly solvating electrolyte wse , li na mg metal batteries

Participants :
- École polytechnique Chalmers (Suède) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Institut de Chimie (Slovénie) — Coordinator, beneficiary, Recherche, subvention : 198557.52 €
Projet IRMA (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

The project aims to develop a new integrated approach for designing and optimising innovative lightweight structures. In recent years, material engineering has introduced a new class of material with mechanical properties not found in nature: metamaterials. Their exceptional properties are valuable in designing even more performant and sustainable lightweight structures. The complex design achieved by metamaterials is obtained by Additive Manufacturing (AM) techniques. The effective mechanical properties are computed using multiscale homogenization approaches. Topology optimization at a multiscale level brings a great variety of functionalized metamaterial. However, the multiscale approach has been fully developed only for solid models at a heavy computational cost. The AM process has its own manufacturability constraints that limit the optimization process. The defects and material limits need to be addressed to guarantee the component functionality and safety. The IRMA project aims to provide a new approach for a fully integrated design of innovative lightweight structures. The specific objectives are: 1. To formulate a refined approach for the multiscale structural behaviour of innovative lightweight structures; 2. To implement an integrated numerical solution to address micro-structural defects and limits of the metamaterials in lightweight structures; 3. To develop a new numerical optimization method that considers macro- and micro- model constraints to improve the design of lightweight structures using metamaterials. The project is thoroughly designed to maximize training and transfer of knowledge to the host group. Project management, risks, communication and dissemination activities, including industrial partners, are carefully designed. My supervisor's experience, the full integration in his group (CAMMS), and the CIMNE-CERCA resources are the perfect ingredients for developing the IRMA project.

Mots clés : lightweight structures refined zigzag models metamaterials multiscale analysis failure assessment optimization

Participants :
- International Center for Numerical Methods in Engineering (Espagne) — Coordinator, beneficiary, Recherche, subvention : 181152.96 €
Projet OSE-Ferroelectrics (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Physics
Statut du projet : SIGNED

The rapid increase in power consumption for data collection, storage and processing drives a global interest in finding new energy-efficient device paradigms. Ferroelectric materials can provide energy-efficient solutions for targeted applications such as transistors based on polarization-induced negative capacitance or memory devices based on polarization-controlled resistive switching. The crucial properties of ferroelectric-based heterostructures in electronic applications are remanent polarization, coercive voltage and leakage current because they limit the ON/OFF ratio, energy efficiency and charge transport properties of any device. However, uncompensated bound charge and defects at ferroelectric interfaces result in polarization suppression, increase of coercive voltage and uncontrolled charge carrier formation. The purpose of OSE-Ferroelectrics is to assess the possibility of tackling these size effects in ferroelectric thin films. In OSE-Ferroelectrics, I propose a path to an ambitious goal of overturning ferroelectric size effects by tailoring the heterostructure design and tracking the resulting crystal, electronic and ferroelectric properties. The two cornerstones of the proposal are: (i) adoption of combination of scanning-probe and optical techniques to locally evaluate the crystal, defect, and ferroelectric properties, and (ii) use of independent evaluation of electronic structure, charge carrier concentration and mobility to understand the charge transport properties across ferroelectric interfaces. The research questions and methods addressed in OSE-Ferroelectrics will advance the knowledge of ferroelectric size effects, bring attention to semiconducting properties of ferroelectric layers, and reveal routes for enhancing performance of ferroelectric memory devices. Ultimately, the results of this project would have important implications for the integration of oxide ferroelectrics into the semiconductor industry.

Mots clés : ferroelectrics, oxide heterostructures, optical characterization, resistive switching

Participants :
- Institute of Physics (Croatie) — Coordinator, beneficiary, Recherche, subvention : 161889.6 €
Projet REDUSULF-Wine (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Life Sciences
Statut du projet : SIGNED

Wine spoilage poses a significant threat to the global wine industry, leading to substantial economic losses and jeopardising its sustainability. This sector is already under strain, contending with issues including climate change, global competition, increasing production costs, declining consumption and evolving consumer preferences. Volatile Sulphur Compounds (VSCs) influence wine quality with their abundance and low perception threshold. While some VSCs enhance wine aromatic complexity, most of them cause negative wine faults such as aromas of cabbage and rotten eggs leading to discarded wine and substantial economic losses. Despite their significance, current methods for detecting and quantifying VSCs (particularly light VSCs) are inadequate. Additionally, a comprehensive model of sulfur metabolism is lacking. This project aims to develop innovative strategies for the accurate quantification, assessment, and management of VSCs during wine fermentation. The specific objectives are: (1) to identify VSC origins and characterise their production dynamics using a novel real-time monitoring device; (2) to assess sulfur compound flux distribution within yeast metabolic networks; and (3) to create the first model-based strategies for predicting and controlling VSC formation. The project includes a secondment to experts at the CSIC in Spain, where I will refine the model. This experience will significantly enhance my skills in analytical techniques and metabolic modelling while expanding my professional network and career prospects. The results of the project will offer valuable tools for both researchers in yeast metabolism and the wine industry, leading to improvements in quality control and production efficiency to mitigate the challenges faced. This pioneering research will provide a solid foundation for future projects in yeast metabolism and winemaking where the developed tools can be utilised.

Mots clés : wine yeast, fermentation, sulfur metabolism, sulfur quantification, flux dynamics, modelling

Participants :
- Conseil supérieur de la recherche scientifique (Espagne) — Partner, associated partner, Recherche, subvention : 0.0 €
- Université de Montpellier (France) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 226420.56 €
Projet IMPACT (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Life Sciences
Statut du projet : SIGNED

The main goal of this work is to assess the use of a novel in vitro methodology for lung toxicity testing of high aspect ratio nanomaterials (HARN). The candidate has substantial experience in exposure science and risk assessment, but her expertise regarding particle toxicity is currently relatively limited. The purpose of this application is to build a strong background in particle pulmonary toxicity, which will complement her expertise and consolidate her as a multidisciplinary researcher increasing her future career opportunities. Currently, to assess health risk due to exposure to different materials, the European regulation mainly relays on in vivo animal data. However, testing the multitude of new materials in vivo is challenging due to high costs, and ethical issues. In vitro tests are available, but still show limitations when compared to in vivo. HARN are particularly serious for human health, and one has been classified as carcinogenic. This is due to their size (small diameters that makes them respirable), needle-like shape, and biopersistency. In particular, this type of materials show specific issues for in vitro testing such as difficulty on preparing homogeneous and temporal stable dispersions, or the agglomeration of fibres in the suspension preventing single fibre exposures as opposed to what may occur in the lung. Therefore, new in vitro methods are needed in order to reduce in vivo testing and to overcome some of the mentioned limitations. The proposed work aims to fill this gap by testing a novel in vitro methodology that allows very high control of the particles morphology and dose administrated to lung cells at a thin liquid layer by aeroslosation and deposition into µ-dishes prior cell exposure. The results from this research will contribute to the current state of the art on fibre lung toxicity mechanisms, help on the implementation of a novel in vitro methodology for lung toxicity, and work towards the reduction of in vivo testing.

Mots clés : high aspect ratio nano materials in vitro pulmonary toxicology occupational exposure indoor air particles

Participants :
- Federal Institute for Occupational Safety and Health (Allemagne) — Coordinator, beneficiary, Organismes publics (hors enseignement & recherche), subvention : 173847.36 €
- Federal Institute for Risk Assessment (Allemagne) — Partner, associated partner, Recherche, subvention : 0.0 €
Projet CF.Nbs.PA-SA (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Life Sciences
Statut du projet : SIGNED

Cystic fibrosis (CF) is a genetic disorder, impacting various organs due to CFTR gene mutations. Lungs are severely affected by secretions, harboring bacteria, causing recurrent, chronic, and often fatal infections in 90% of CF patients. Globally, around 105,000 people across 94 countries suffer from CF, with an improved median survival age of 30 to 40 years, yet poor quality of life persists due to daily treatment needs. Staphylococcus aureus (SA) and Pseudomonas aeruginosa (PA) are the primary pathogens isolated from CF patients' respiratory tracts, leading to most CF-related deaths. Their factors of virulence contributes to extensive damage, and despite intensive treatments, infections persist, fostering antimicrobial resistance. Antibiotic resistance claims over 35,000 lives yearly in the EU alone, underscoring the urgent need for novel therapeutics to combat SA and PA infections. Nanobodies (Nbs) offer revolutionary immunotherapy potential due to their unique attributes. They are ten times smaller than conventional antibodies, maintaining strong recognition capability at nanomolar levels. Nbs exhibit low immunogenicity, rapid tissue penetration, and can target previously inaccessible antigen sites. Their small size provides enhanced stability, thermal resistance, reversibility of unfolding, proteolytic resistance, and high solubility. Given the prevalence and severe consequences of SA and PA infections, the central aim of the project is to develop therapeutic Nbs to mitigate the impact of these infections and improve the quality of life for CF patients.

Mots clés : nanobodies, immunotherapeutics, pseudomona aeruginosa, staphylococcus aureus, cystic fibrosis

Participants :
- Biomedical Research Networking Center on Neurodegenerative Diseases (Espagne) — Coordinator, beneficiary, Recherche, subvention : 181152.96 €
Projet EcoClimate Navigator (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

To address the escalating threat of climate change, there is an urgent need to develop smart strategies that bolster climate resilience. Within the context of climate change mitigation and adaptation policies, reforestation plans stand out as one of the most crucial natural-based solutions. However, the multifaceted role of forests as both warming and cooling agents presents a complicated challenge that remains a topic of ongoing debate. By employing cutting-edge machine learning algorithms, advanced remote sensing technologies, and comprehensive ground-based empirical assessments this proposal, titled "EcoClimate Navigator", aims to uncover how smart reforestation plans can contribute to mitigating local climate change. This project aims not only to enrich existing policy discussions around the topic of reforestation but also to add detailed and novel knowledge beyond what is already known on the role of forests in climate regulations at a global scale. In addition to the expected outstanding outputs of this project, the Marie Sklodowska-Curie Action program will set the Experienced Researcher (EI), Sara Alibakhshi, on the right track to build her academic career and eventually become one of the future leaders in the field. This program provides the EI with an excellent opportunity to conduct novel research along with new collaborations within the hosting organization and its partners, which is in line with the objectives of the Horizon Europe Framework Programme.

Mots clés : machine learning algorithms, geospatial analysis, big data analysis, climate change, forests

Participants :
- École polytechnique fédérale de Zurich (Suisse) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université de Berne (Suisse) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université technique de Munich (Allemagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 189687.36 €
- Université d'Évora (Portugal) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université d'Helsinki (Finlande) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet FAIRYSCAPE (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : SIGNED

In climate change scenarios, species become highly dependent on their traits to adapt and survive to new environmental conditions. In species distributed along a wide latitudinal range, selection against immigrants from areas subject to different climate conditions may lead to strong genetic isolation. Genetic isolation minimises the probability of evolutionary rescue, reducing the chances to overcome future climate change effects. In addition, while climate change leads to changes in species distributions, range continuity largely depends on successful migration from the current geographic range. This project aims to combine landscape genomics and ecological niche modelling to predict climate change vulnerability in two fairy shrimp species (Anostraca) from Northern Europe: Branchinecta paludosa and Polyartemia forcipata. These approaches will allow me to detect warm-adapted and cold-adapted populations across the distribution range of the species, characterise these adaptations at the genomic level, identify environmental features that promote population connectivity and evolutionary rescue, and predict future climatically suitable areas and migration success. Project outputs will guide the design of conservation measures that enable the survival of these two fairy shrimp species under current and future climate change conditions. These species account for almost the entire known diversity of high latitude fairy shrimps in the Palearctic, and constitute an essential anchor in the functioning of freshwater ecosystems. Developing this project will drive my training in landscape genomics and ecology, which is essential to route my scientific specialisation towards conservation genomics of invertebrate taxa.

Mots clés : adaptive genomic variation, neutral genomic variation, landscape genomics, fairy shrimps, anostraca, branchiopoda, freshwater, temporary wetlands, enm, climate change

Participants :
- Université d'Exeter (Royaume-Uni) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université de Bodø (Norvège) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 210911.04 €