Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Machine Learning-Enhanced Coarse-Grained Modelling of Telomeric G-Quadruplex Multimers: A Multiscale Study (MCG-QUAD)

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: Physics
Countries involved: Italy
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2027-07-01
End date: 2029-06-30
Duration (months): 24.0
Total project cost (EUR): 209483.28
EU funding (EUR): 209483.28
Participants: 1
Project status: SIGNED

MCG-QUAD is an integrative study of G-quadruplex (G4) multimers—noncanonical DNA structures—providing a framework to interpret experimental data and connect a microscopic view to macroscopic observables through a novel multiscale in silico approach. G4s are ubiquitous in the genomes of higher eukaryotes and are believed to play key roles in various biological processes. The presence of G4s in the telomeric region has been shown to inhibit telomerase, opening the possibility for G4-stabilizing compounds to be used as anticancer medications. Sequences that form G4s exhibit long folding timescales. G4s are highly polymorphic structures with long-living quasi-stable topologies, a complexity further compounded in multimers. Structural information on G4 multimers is limited, and existing data often lack physiological context. A novel computational approach is necessary to address open questions about the folding/unfolding dynamics of telomeric sequences into G4 multimers, their structure, topological phase space, the role of crowders, and the effects of ligands on G4 formation, stabilization, and properties. Through a combination of classical bottom-up coarse-graining and recent developments in machine learning, MCG-QUAD provides scalable and accurate models that enable bulk, long-timescale simulations. These simulations will be combined with in vitro observables to elucidate previously inaccessible phenomenology, forming an integrative study of G4 multimers in crowded environments. Furthermore, MCG-QUAD explores the interaction of G4 multimers with ligands to inform the design of new anticancer drugs, pushing beyond the limitations of existing in vitro and in silico studies. In collaboration with leading experts and institutions, MCG-QUAD will generate knowledge for the development of effective G4-targeting therapies and a broader understanding of biomolecular behaviour in complex environments, extending beyond cancer research.

Keywords: g quadriplex,biopolymers,machine learning,bottom up coarse graining,potentials of mean force,molecular dynamics,anti cancer drugs
Polynomial-time Computation: Opening the Blackboxes in Constraint Problems (POCOCOP)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Synergy grants
Action type: ERC actions
Countries involved: Germany,Austria,Czechia
Call: ERC Synergy Grants (ERC-2022-SYG, 2022)
Start date: 2023-03-01
End date: 2029-02-28
Duration (months): 72.0
Total project cost (EUR): 7932935.0
EU funding (EUR): 7932935.0
Participants: 3
Project status: SIGNED

The class P of polynomial-time computable computational problems is the most important and robust complexity class for the study of efficient computation. Answering what problems belong to P will lead to groundbreaking applications in science and society. Moreover, P is a relatively recent mathematical object and radically different from classical notions studied for centuries; thus, capturing it promises the discovery of new fundamental theorems in mathematics. Our current understanding of P is limited; for instance, the P=NP millenium problem is wide open. There neither exists a uniform reduction technique, nor a single algorithmic scheme capturing the power of P, nor a description of P in purely logical terms. We intend to provide these in a context which is so rich and vast that it requires the unification of some of the most important techniques, and will enhance our general understanding of P. Within the microcosm of finite-domain constraint satisfaction problems (CSPs), the recent resolution of the Feder-Vardi conjecture by Bulatov and by Zhuk provides a satisfactory picture of P. Our goal is a vast and uniform generalisation of this result in three directions: towards approximation via Promise CSPs, towards optimisation via Valued CSPs, and towards infinite domains via countably categorical CSPs and CSPs over numeric domains. In particular, our setting includes the linear programming problem as a numeric Valued CSP, the approximate graph coloring problem as a Promise CSP, and many problems from qualitative reasoning as infinite-domain CSPs. Our methods range from universal algebra, model theory, Ramsey theory, to complexity theory. Building on cross-connections between these extensions, we will provide a uniform description of P within this diverse and applicable universe, thus making a revolutionary leap in the resolution of the general problem.

Keywords: algorithms,computational complexity,finite model theory,universal algebra,model theory,ramsey theory,approximation,optimisation,constraint satisfaction problem
A 100% sustainable and infinitely scalable electrical energy storage system (AquaBattery)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Challenges
Action type: EIC actions
Countries involved: Netherlands
Call: Green Deal innovations for the Economic Recovery (HORIZON-EIC-2021-ACCELERATORCHALLENGES-01, 2021)
Start date: 2022-04-01
End date: 2025-02-28
Duration (months): 35.0
Total project cost (EUR): 3233435.0
EU funding (EUR): 2263404.5
Participants: 1
Project status: CLOSED

AquaBattery is a revolutionary battery storage technology that offers unlimited storage capacity, inexpensive scaling and is 100% sustainable. AquaBattery is based on a simple principle: input renewable energy, store it in seawater, then return electricity when there is energy demand. The core innovation is the use of seawater as a sustainable, safe and scalable energy storage medium. This is enabled by the company’s patented membrane stack technology that utilizes bi-polar membrane electrodialysis and reverse electrodialysis for energy storage and discharge. During the charging phase, saltwater flows through the membrane stack and produces an acid and base stream that is stored in tanks. During discharge, the solutions flow back through the membrane stack to generate salt water and release energy. With this disruptive solution, AquaBattery aims at revolutionizing the energy storage world, fostering the growth of renewable energy technologies and stopping the use of toxic materials.
Reducing food waste due to marketing standards through alternative market access (ROSETTA)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Fair, healthy and environmentally-friendly food systems from primary production to consumption
Action type: Research and Innovation actions
Countries involved: Greece,Ireland,Denmark,Belgium,Slovakia,Austria,Poland,Spain
Call: Providing marketing solutions to prevent and reduce the food waste related to marketing standards (HORIZON-CL6-2023-FARM2FORK-01, 2023)
Start date: 2024-01-01
End date: 2026-12-31
Duration (months): 36.0
Total project cost (EUR): 6024121.0
EU funding (EUR): 4984479.37
Participants: 17
Project status: SIGNED

It appears that a substantial amount of food waste may be due to marketing standards, yet there is very limited concrete evidence on how much, why and how to address it. There is a need to deepen our understanding and identify solutions to prevent and reduce food waste along with any trade-offs, by improving the business potential of suboptimal foods. ROSETTA sets out to deliver reliable evidence, produced through transdisciplinary research with the engagement of use case multi-actors, that a) estimates food waste generated by the use of marketing standards along the whole value chain, b) co-defines and validates sustainable solutions for the valorisation of that waste, and c) assesses trade-offs. The current framework of marketing standards of food commodities at international, EU, national and private level, will be analysed, and the reasons for their establishment will be assessed. An operational plan will be developed to deploy pilot experiments in five (5) use cases across EU countries, led by private marketing standards owners or networks/clusters in the value chain, representing four (4) main food commodities, namely fruit & vegetables, cereals, dairy and meat. A comparative analysis of data collected from both lab and field research, combined with LCSA study, will validate and optimise use-case selected solutions, which are expected to reduce food waste due to marketing standards by 60% – 80% through alternative market access for suboptimal foods, including processing and other strategies as well as changes in social practices. The validated and optimised solutions will provide insights for knowledge transfer and identify opportunities for social learning. Insights will be used to develop replication guidelines and policy recommendations, addressed to food businesses, marketing standards owners, policy makers and regulators, to help revise or design marketing standards and support future policy development, in order to prevent and reduce food waste.

Keywords: marketing standards,food value chain,multi actor approach,transdisciplinary research,food waste estimation models,alternative marketing models
Innovative catalytic process to valorize nylon wastes (UPCYCLON)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: France
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2024-POC, 2024)
Start date: 2024-12-01
End date: 2026-05-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

The accumulation of plastic waste presents a global and urgent challenge, necessitating the development of more environmentally friendly mechanical and chemical recycling methods. This challenge is particularly acute for polyamides materials, commonly known as nylons (e.g. fishing nets, carpets, etc.), which are mostly either deposited in landfills or incinerated due to the lack of efficient recycling techniques. With UPCYCLON, we propose to capitalize on breakthroughs achieved through ERC ReNewHydrides, focusing on a disruptive chemical upcycling process for polyamides. This pioneering innovation provides, via a novel catalytic conversion operating under mild conditions, an unprecedented access to new nitrogen-containing polymers, currently unavailable using established synthetic routes. These polymers, with anticipated physicochemical properties such as high thermal stability and potent chelating capabilities, promise diverse applications ranging from CO2 capture to polyurethane synthesis and wastewater treatments. In addition, this approach to polyamide waste management represents an innovative and commercially significant endeavor, particularly for polyamide producers facing pressure from new European policies like Extended Producer Responsibility (EPR) to swiftly develop sustainable solutions for waste recycling or management.

Keywords: plastic wastes depolymerization valorization recycling polyamides nylons
Do AI generated outputs have contents? (AICon)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Sweden
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-08-01
End date: 2026-07-31
Duration (months): 24.0
Total project cost (EUR): 222727.68
EU funding (EUR): 222727.68
Participants: 1
Project status: SIGNED

This project asks: do the outputs of machine learning neural net AI systems (henceforth, ‘AI systems’) have contents i.e., do they have meanings, express propositions, or represent objects of the world? It approaches this larger question by dividing it up into three smaller, closely aligned questions: (a) Are mental capacities necessary for producing outputs with content? (b) What does it take for an entity to have those capacities? and, (c) Do AI systems have those capacities? These foundational questions underpin and support several further investigations concerning the potential and threats of AI systems, including their role in spreading propaganda, disinformation, and fake news, and the question of whether AI systems can develop their own language. The project’s main innovation is its humanistic approach — its investigations are guided by the hypothesis that any philosophically interesting notion of ‘content’ must be comprehensible, and apply to human speech, images, and artefacts. The project combines the expertise of the Experienced Researcher (ER) on the semantics of natural language expressions with the current research of the supervisor (Matti Eklund) on ‘alien’ languages (i.e., languages semantically and structurally different from human languages). The project will greatly enhance the ER’s career prospects because of the training and mentorship that the ER will receive as part of the project, and because of the close synergy between the ER’s research focus, the supervisor’s internationally renowned expertise on semantics and metaphysics, and the host organisation’s (Uppsala University) strengths in pragmatics, artificial intelligence, and computational linguistics. Conversely, the ER’s research will enrich and generate substantial added value for the host institution — particularly in the research and academic work on meta-semantics, metaphysics, and the theoretical and practical aspects of AI systems carried out at the host institution.

Keywords: philosophy of language,philosophy of mind,semantics,metasemantics,artificial intelligence,alien languages,alien content
Multi-level approach for the up-scaling of ultra high temperature energy storage and conversion (SHINE)

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: Information Science and Engineering
Countries involved: Spain
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-06-01
End date: 2026-05-31
Duration (months): 24.0
Total project cost (EUR): 165312.96
EU funding (EUR): 165312.96
Participants: 2
Project status: CLOSED

The growing interest for the integration of renewable energy sources, as solar energy, in the global energy mix, increases the need of developing of new methods that will assist on the up-scaling and demonstration of efficient energy storage and conversion technologies. In this regard, advanced modelling methods can be an indispensable tool towards this effort. SHINE aims at developing a holistic numerical methodology – by using in-house codes coupled with commercial software– that will boost the cost-efficient and sustainable electricity production and storage at unprecedented ultra-high temperatures (> 1000 oC). The stepping stone for the modelling activities will be a compact latent heat thermophotovoltaic device recently patented in UPM targeted for energy storage and production at ultra-high temperatures. The core components in such a device are the latent heat thermal energy storage system and the thermophotovoltaic device. The modelling methodology will integrate rigorous multi-physics models (fluid dynamics, heat transfer and optoelectronics) targeted at a component level into a reduced order model (ROM) by using multi-variable polynomial functions. Key in the proposed methodology is the validation of the rigorous models through in-house measurements at ultra-high temperatures that will be undertaken at the host organisation. Key as well is the production of the multi-variable polynomials through artificial neural networks that will be undetaken during the Secondment phase. The whole project is highly interdisciplinary because it integrates highly interrelated diverse disciplines (physics, engineering, optoelectronics, thermo- and fluid-dynamics, photovoltaics and thermal storage, and artificial intelligence-AI) as well as know-how from experiments is a single holistic approach. Once developed the ROM will be used to predict the whole system's performance as being part of a solar-to-heat-to-power and a power-to-heat-to-power concepts.

Keywords: ultra high temperature energy storage and conversion latent heat thermal energy storage
Contested EU Foreign Policy in an Era of Geopolitics (EUFOG)

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: Social Sciences and Humanities
Countries involved: Spain,Netherlands,Belgium,Estonia,Poland,United Kingdom,Norway,Austria,New Zealand,United States,Brazil
Call: MSCA Doctoral Networks 2023 (HORIZON-MSCA-2023-DN-01, 2023)
Start date: 2024-12-01
End date: 2028-11-30
Duration (months): 48.0
Total project cost (EUR): 3915921.6
EU funding (EUR): 3915921.6
Participants: 17
Project status: SIGNED

The doctoral network EUFOG will contribute to a better understanding of the ways in which the EU is reconsidering key tenets of its international role in the face of the geopolitical turn in international politics. The liberal international order, i.e. the collection of norms, institutions and power relationships that have defined the last decades of international political and economic relations, is undergoing major transformations. Although the final destination of these changes is still to be seen, the situation is shaped by a return of competition between great powers in a multipolar world (US, China, EU and Russia), facilitated further by growing geopolitical ambitions of many regional powers. These developments should lead to a systematic overhaul of research about the international role of the EU. Over the past decades, the EU’s role in international politics was perceived through the prism of two assumptions. First, the external relations of the EU were understood as reflecting the kind of polity the EU was: an integration-through-law project, and a community of values. Support for multilateralism and the promotion of certain international norms were seen as the unproblematic externalization of internal consensuses. Second, even when the EU entertained projects of reform for the international order, they sought to strengthen its institutions and norms, in a moment when such strengthening was perceived as being broadly in line with the trajectory of international politics. This state of affairs has ceased to exist. EUFOG will train a generation la scholars to enable them to address the politics (the political conflicts and debates), policies (decisions and measures) and partners (relationships and perceptions) associated with the ways in which EU foreign policy responds to these new international realities in a broad range of issue areas, from security to trade to human rights.

Keywords: contestation,great power competition
L-vehicles Emissions and Noise mitigation Solutions (LENS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Mobility
Destination: Clean and competitive solutions for all transport modes
Action type: Research and Innovation actions
Countries involved: Greece,Spain,Austria,Sweden,Germany,Belgium,Czechia,Netherlands,France,Italy
Call: Assessment of noise and particle emissions of L category vehicles from real driving conditions (HORIZON-CL5-2021-D5-01, 2021)
Start date: 2022-09-01
End date: 2025-11-30
Duration (months): 39.0
Total project cost (EUR): 4995101.0
EU funding (EUR): 4995098.0
Participants: 15
Project status: SIGNED

LENS is a project aiming at assisting enforcement authorities, cities and regulators to decrease the contribution of L-category vehicles (LVs: mopeds, motorcycles, tricycles and quadri-mobiles) to noise and air-pollution. This is achieved by developing and promoting interventions and best practices that can address the noise and pollutant emissions of current fleet vehicles and by making suggestions for regulations to improve the performance of future vehicles. Interventions for the current fleet range from vehicle measures (speed limiters, digital sealing) to infrastructure (traffic calming and restrictions), tampering detection and anti-tampering enforcement and smart apps that guide riders to adopt more environmentally and less noisy riding slides. Suggestions for regulations include the control of emissions under real driving conditions and the regulatory enforcement of anti-tampering measures. The expected impact of these measures will be demonstrated by simulations in three actual case studies in locations which are negatively impacted by the operation of LVs. An extensive test programme of noise and pollutant emissions on more than 150 LVs is proposed - including on-board, on-track and in-lab tests – to collect the necessary performance data. Portable sensor-based and mini-analyser measurement systems are being developed in the project to characterise gaseous and particulate pollutants, including nanoparticles down to 2.5 nm under actual operation conditions. A new technique based on the remote detection of gaseous emissions, nanoparticles and sound levels of singular vehicles on the road is being proposed with the aim to detect worst noise and emission LVs, including tampered ones. The technique will be deployed in 3 real-world campaigns with the intention to sample more than 3,000 LVs on the road. A smart app will be enhanced with project findings to assist riders adopt a more city-friendly riding style in terms of noise and emissions.

Keywords: portable sensor systems,remote sensing,exhaust nanoparticles,anti tampering