Data-Gouv-ML/pcri-actions-marie-curie-participations-et-projets-laureats huggingface dataset:
Projet PERFECTO-3 (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

The overarching aim of PerfectO-3 Project is to produce stable and personalized emulsions with encapsulated omega-3 fatty acids from fish oil with desired critical quality attributes (CQAs) for the targeted delivery of fish oil and the masking of its undesirable smell and flavour. This will be achieved by cutting-edge food research facilities in Teagasc (as a host institute) and also by involving most suitable secondment- Institute of Food Science Research CIAL (Spain) for product validation. Specifically, this Project will investigate innovative processes, such as ultrasound cavitation, using various conditions, carrier components and surfactants that crucially influence the properties of the emulsions in order to control their droplet size distribution (DSD) and thus tailor their CQAs offering personalized/ customized omega-3 emulsions. The developed products will be characterized in terms of storage and oxidative stability and a study of release and targeted delivery of omega-3 fatty acids in the human body will be performed in CIAL. PerfectO-3 is a multidisciplinary project comprising food science, chemistry and nanotechnology research fields and aims at enhancing Europe’s competitiveness by introducing cutting-edge personalized products in the agri-food sector.

Mots clés : ultrasonication, emulsification, critical process parameters, critical quality attributes, droplet size distribution, stability, customised foods

Participants :
- Cial (Espagne) — Partner, associated partner, Organismes publics (hors enseignement & recherche), subvention : 0.0 €
- Teagasc (Irlande) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 252728.64 €
Projet DUAL-T (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : CLOSED

Recent years have seen a growing research interest on the application of translation technology to literary translation workflows, mostly in the form of Machine Translation (MT) or post-editing of MT output. In these studies, literary translators' voices are virtually absent. This project will address the discrepancy between research in Computer Science/AI and Translation Studies, as well as the absence of literary translators from the conversation surrounding technological innovation in their profession. It will do so by proactively integrating literary translators' input in the co-creation of a new technology-inclusive workflow. Professional literary translators will be asked to perform literary translation tasks using (1) MT + post-editing, (2) a Computer-Aided Translation (CAT) tool environment, (3) a CAT tool environment with integrated MT. User testing will be performed using eye tracking, keystroke logging and screen capturing. In-depth interviews and focus groups will be conducted before and after the translation task to register changes in participants' attitudes towards technology before and after using it, as well as advantages and pain points of the tool employed. Being the first study of this kind in literary translation, results will help to (1) devise a technology-inclusive literary translation workflow employing a user-led approach, (2) assess whether and to what extent translation technology can enhance literary translators (particularly, the potential of CAT tools to work in combination with MT and/or as an alternative to MT-centric approaches will be assessed), and (3) mediate a dialogue between literary translators and translation technology developers by feeding back data on literary translators' use of and attitudes towards translation technology to the project's industry partner. It is expected that the project's findings will also contribute to the wider conversation around Human-Computer Interaction in other professions.

Mots clés : translation technology, literary translation, translation, computer aided translation, social construction of technology, human computer interaction, user testing

Participants :
- Université de Gand (Belgique) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 175920.0 €
- Nuanxed ab (Suède) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
Projet UP-RISE (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : SIGNED

Climate change poses a global challenge, and the production of cement contributes significantly to greenhouse gas emissions (GHG) by 5–8%. This project is, therefore, poised to revolutionize the industry by developing an innovative, eco-friendly cement using dredged materials (DMs) as precursors to produce greener geopolymers. The latter are synthesized by mixing materials rich in aluminosilicates with an alkaline solution. The GHG of geopolymer concrete is ~73% and ~46% less than ordinary Portland cement (OPC) concrete, respectively. Geopolymers exhibit noticeably improved mechanical properties compared to OPC concrete and have been shown to have better resistance to acid attacks, high temperatures, and fire. However, the production of large quantities of geopolymer concrete is limited due to the declining availability of fly ash worldwide. Dredged sediments have been identified as a potential source of silica and alumina. This project sets out to establish the foundational science needed to transform DMs into materials suitable for structural applications, thus pioneering a sustainable path to CO2 reduction. This study will foster the adoption of these by-products in sustainable infrastructure development and create a roadmap for producing DM-based geopolymers. The research, led by me, Dr. Amine el Mahdi Safhi, under the mentorship of Dr. Mahdi Kioumarsi and Dr. Shima Pilehvar at Østfold University College (HiØ) in Norway, will bolster my skills in materials and structural engineering, preparing me for an expansive academic career. The project is an international endeavor, with the collaboration of Dr. Ahmed Soliman from Concordia University (Canada) and industrial partner NETICS (Netherlands). Our vision is to turn an environmental challenge into an opportunity for sustainable development. By harnessing DMs, we will not only transform the cement industry but also positively impact society and the environment.

Mots clés : construction materials geopolymers dredged sediments sustainability circular economy

Participants :
- Université Concordia (Canada) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Collège universitaire d'Østfold (Norvège) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 226751.04 €
Projet UNVEIL (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

The present-day chemicals industry heavily depends on fossil fuels, contributing significantly to the concerning rise in global CO2 emissions. However, for transitioning to renewables, large-scale and high energy-density energy storage is needed. The CO2 electroreduction reaction holds promise in this direction, due to its unique ability to convert waste CO2 emissions back into valuable base chemicals at ambient conditions, using renewable electricity. However, it currently lacks industrial adoption, due to the lack of highly selective and stable catalysts. Understanding the catalytic properties such as selectivity and stability at the atomic scale requires fundamental insights about the "real" catalyst structure under reaction conditions and its effects on the reaction mechanisms. The goal of this project is to investigate this structure sensitivity of the Cu-based CO2 electroreduction reaction by developing a structure-dependent microkinetic model. To achieve this, I will use Boltzmann statistics and DFT calculations to predict ensembles of Cu nanoparticles with thermodynamically most stable morphologies under experimental reaction conditions and account for the respective distribution of active sites. Thereafter, the reaction pathways towards key products such as hydrogen, methane and ethylene over the active sites will be investigated. The multiscale analysis based on the structure-dependent microkinetic modeling will connect the experimentally observed macroscopic reaction rates with the nanoscale true structure of the catalyst, revealing the structure-property relationships of the CO2 electroreduction catalyst. The potential outcomes are: 1) understanding how catalyst structure at the nanoscale affects its properties in the CO2 electroreduction process; 2) achieving a wider adoption of multiscale modelling as a tool for rational electrocatalyst design; and 3) establishing stronger collaborations between experimental and theoretical catalysis.

Mots clés : structure sensitivity, first principles multiscale analysis, electrocatalysis, co2 electroreduction over copper catalyst

Participants :
- École polytechnique de Milan (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 188590.08 €
- École polytechnique fédérale de Lausanne (Suisse) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet MusicLaw (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : SIGNED

Generative Artificial Intelligence (GAI) with its ability to generate music popularly known as AI Music, has potential to permanently change the music landscape. It presents us with both unprecedented opportunities and challenges - opportunities such as democratising music creation, increasing accessibility by reducing music production costs and time. It also opens pandora’s box of legal challenges such as copyrightability of AI Music, legal concerns at the input stage i.e. training of AI Music Engines/Models, at the output stage i.e. generation of AI Music and others. These legal challenges are not confined to a particular country or geographical area but are of global concern, demanding concerted global effort to arrive at global solution. The Global Partnership on Artificial Intelligence (GPAI) comprising of 29 members including European Union, USA, United Kingdom and India, have highlighted need for exploring and deeper scrutiny of inter-alia various dimensions of AI including its legality and governance issues. Specifically for Europe, addressing these legal challenges will assist in ensuring secure, safe and sustainable digital transformation that puts people at the center, in line with core EU values and fundamental rights. AI music engines such as Suno and Udio are already in public domain. It becomes pivotal at this juncture, to explore, identify and address legal challenges posed by AI Music. Various countries are re-visiting, re-thinking and amending their copyright laws in light of the increasing AI capabilities. This postdoctoral project aims to conduct international, interdisciplinary and comparative study of the music copyright law using novel research methods, to fill the existing void, by developing first of its kind international legal framework specific to AI Music that accommodates the evolving dynamics of music ecosystem. It will also strengthen the 5 Pillars of the 2030 Agenda for Sustainable development around which 17 SDG's are structured.

Mots clés : music law comparative copyright law generative artificial intelligence and copyright law

Participants :
- Université d'Oxford (Royaume-Uni) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Collège universitaire du Vestland (Norvège) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 251578.56 €
Projet SAMper (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Chemistry
Statut du projet : SIGNED

Perovskite photovoltaics offer a low-cost, high-efficiency solution to speed up the transition to net-zero emissions. In particular, tin-lead perovskite solar cells have ideal optical properties for peak performance. However, their large-scale use is hampered by stability issues at perovskite surfaces, i.e., oxidation, vulnerable defects, and chemical mismatch with ordinary charge transport layers in solar cells. Self-assembled monolayers (SAMs) are alternative transport layers that allow the manipulation of critical interface regions, yet their use in tin-lead perovskite photovoltaics remains in its infancy. Careful choice of SAM functional groups, molecular structure and redox chemistry are key to tackle perovskite limitations. SAMper will develop ultrastable and highly efficient tin-lead perovskite solar cells by designing SAM device architectures with interface-specific smart functionality. Defect-passivating, perovskite-healing and oxidant scavenging SAM moieties will afford the targeted properties, as will be demonstrated via structural, chemical and electrical interface analysis. Top SAM-based devices will be tested outdoors to demonstrate their excellent durability and efficiency, comprising the first example of tin-lead perovskite solar cell testing under real-world conditions and paving the way towards their commercial deployment. SAMper contributes towards clean energy in alignment with European Green Deal decarbonisation targets. The project will further the researcher's excellence and career prospects via training on cutting-edge multidisciplinary research. Knowledge transfer with the supervisor will foster the researcher's scientific independence via key management skills. The secondment for outdoor tests will facilitate international synergies. Project outputs and datasets will adhere to FAIR principles, aiding the benchmarking of the technologies herein. Various activities will disseminate these results, and foster STEM vocations among local youth.

Mots clés : perovskite solar cells, tin lead perovskite, stability, emerging photovoltaics, self assembled monolayers

Participants :
- Université Jacques Ier (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 181152.96 €
- École polytechnique fédérale de Lausanne (Suisse) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet FlexZAB (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

The FlexZAB proposal introduces an innovative approach to producing a new generation of printed flexible Zn-air batteries (ZABs), addressing key challenges such as sluggish oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) kinetics and high overpotential in traditional ZABs, while preserving the integrity of the support structure without traditional high-temperature sintering during manufacturing. The central component of this approach in FlexZAB is the synthesis and use of high-entropy MXenes (HEMXs), which play a pivotal role in both the fabrication process and the improved performance of the ZAB. MXenes, a family of two-dimensional (2D) carbides and nitrides of transition metals, are highly regarded for their flexibility, superior electrical conductivity, and partially metallic properties. Their 2D morphology makes them ideal for flexible applications, and they exhibit plasmonic effects under light irradiation, akin to Au and Ag. Incorporating multiple transition metals at the M site in HEMXs introduces a nearly infinite range of tunable compositions and properties. This leads to a quasi-continuous density of electronic surface states, promoting complex and reversible catalytic reactions such as ORR and OER. During flexible ZAB fabrication process of FlexZAB, the plasmonic properties of HEMXs will facilitate light-triggered sintering during manufacturing. The flexibility and interconnect of HEMXs serve as binders, enabling the production of additive-free inks and cathodes through aerosol direct-write printing. In battery operation, HEMXs boost performance by enhancing charge transport through high electrical conductivity. Additionally, their compositional versatility and abundant surface adsorption/reaction sites catalytically accelerate ORR and OER, resulting in more efficient battery performance.

Mots clés : mxene, high entropy, flexible electronics printing technology light sintering plasmonic effect zn air battery catalysis

Participants :
- Institute of Science and Technology Austria (Autriche) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- CERCA Institution (Espagne) — Coordinator, beneficiary, Recherche, subvention : 209914.56 €
Projet BEREFT (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : CLOSED

Human impacts such as clearcut harvesting have left forests bereft of the organisms that underpin their functioning. The decline of key plant species has reduced the capacity of forests to store carbon (C) and provide ecosystem services to the people of Europe. The regeneration of forest ecosystem functioning requires a deeper understanding of how the traits of its species can be linked to ecosystem processes. The BEREFT project aims to elucidate how the plant traits of bilberry, Vaccinium myrtillus, modulate the dynamics of C and nitrogen (N) within the boreal forest. The project combines advances in chemical ecology with an innovative experimental design situated in Norway pairing experimental plots in formerly clearcut forest plantations with those from near-natural forests. I will collect a comprehensive set of bilberry's chemical traits and test both in-situ and in-vitro experiments to determine the underlying mechanism linking bilberry traits to C and N dynamics. The project goes beyond the state-of-the-art in applying novel methods from chemical ecology to measure bilberry's traits and uses a creative design to link those traits to ecosystem functioning. Through the scope of traits measured and the innovation in experimental design pairing clearcut forests with near-natural forests, this project will significantly advance our knowledge of the ecology of Europe's forest ecosystems. I will receive training in chemical ecology to advance my career as an expert in data generation and exchange with the host my knowledge on long-term ecological experimentation and ecosystem functioning. The project will disseminate deliverables in trait data packages, an open-source chemical ecology pipeline, and a robust measure of the effect size of bilberry's impact on C and N in the boreal forest. Knowledge of bilberry's role in the forest C cycle can be exploited by forestry managers in efforts to maximize C storage to meet the EU's goal of carbon neutrality.

Mots clés : ecosystem functioning trait ecology functional traits nutrient cycling

Participants :
- Université norvégienne pour les sciences de la vie (Norvège) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 226751.04 €
Projet CASPER (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

Cross-Modal Alignment for Semantic Processing and Effective Representation (CASPER) project is pioneering a novel framework that synergizes cognitive neuroscience with advanced artificial intelligence methodologies. By employing Graph Neural Networks (GNNs) and Large Language Models (LLMs), CASPER enables seamless integration and representation of diverse modalities, such as text, audio, speech, images, and neural signals, including fMRI, EEG, and MEG. The project’s core aim is to push the frontier of multimodal learning and neural representation decoding, facilitating complex tasks like speech reconstruction, cross-modal content generation, and zero-shot learning. Through the alignment of AI systems with neural activity patterns, CASPER strives to enhance our understanding of human cognition while unlocking groundbreaking applications in neural decoding, assistive technologies, and conversational AI. This transformative approach is poised to redefine the standards of cross-modal representation and neural signal interpretation, marking a significant advancement in the field.

Mots clés : large language models, graph neural networks, latent diffusion models, neural signal processing

Participants :
- Université Ca' Foscari de Venise (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 209483.28 €
- Université de Genève (Suisse) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- École polytechnique fédérale de Lausanne (Suisse) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet HESOZA (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : CLOSED

As photovoltaics (PV) technology develops rapidly, solar energy conversion and storage devices such as solar rechargeable batteries are also becoming more viable to compensate for intermittent sunlight. Considering their working life, cost, energy density, safety and eco-friendliness, rechargeable Zn–air batteries (ZABs) are regarded as a promising candidate for next generation advanced energy devices. Solar rechargeable ZABs would effectively convert and store solar energy in one two-electrode battery, simplifying the configuration and decreasing the external energy loss. Yet, there are several major challenges to widespread adoption of solar rechargeable ZABs: (i) low efficiency due to lack of high performance photoactive electrode capable of light harvesting and energy storage, (ii) instability and low cycle life due to anode-electrolyte side reactions. This proposal will develop for the first-time ZABs with solar-charging capabilities through combinatorial designing of a bifunctional high entropy material (HEM) photocathode-catalyst, fabricating a gradient nanoporous fluorinated zinc-tin (FZT) anode and optimizing electrolyte composition. Such a configuration enables to decrease the charge overpotential of ZABs below the theoretical voltageof 1.65 V. More importantly, it directly stores solar-to-electrochemical energy. Therefore, the main goal of this proposal is to boost the efficiency and stability of solar rechargeable ZABs by taking advantages of HEM concept i.e., numerous active sites, sluggish diffusion, and enabling much improved plating/stripping cycling on FZT anode through a 2e−/O2 process in nonalkaline aqueous electrolyte. HESOZA’s achievements will make advancements on cutting edge direct solar-to-electrochemical energy storage in a simple two-electrode cell configuration that are pivotal to reach EU’s environmental targets for a reliable and green energy transition at low-cost.

Mots clés : rechargeable zinc air batteries, solar energy storage, high entropy materials, combinatorial

Participants :
- Helmholtz-Gemeinschaft (Allemagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 189687.36 €
- CERCA Institution (Espagne) — Partner, associated partner, Recherche, subvention : 0.0 €