Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Formation of planetary building blocks throughout time and space (PLANETOIDS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Universe Sciences
Panel description: Astro -physics/ -chemistry/ -biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-09-01
End date: 2027-08-31
Duration (months): 60.0
Total project cost (EUR): 1447091.25
EU funding (EUR): 1447091.25
Participants: 1
Project status: SIGNED

The major objective of the PLANETOIDS project is to profoundly advance our understanding of planet formation. Numerous discoveries of exoplanets in the last years proved that planet formation is a rule rather than an exception. At the same time, we made unprecedented progress in observations of the birthplaces of planets, the disks surrounding young stars, where dust growth up to pebble-sizes is detected. Despite the significant progress, the planet formation process remains a conundrum as its intermediate stages are essentially unobservable. This project aims at constructing innovative numerical models of the early stages of planet formation when the dust grows to pebbles and becomes gravitationally bound in building blocks of planets called planetesimals. Despite the critical role of this phase in the planet formation process, global models addressing planetesimal formation are scarce. With PLANETOIDS, I propose to go beyond the state-of-the-art by combining the most advanced models of circumstellar disk formation and structure, dust evolution, planetesimal formation, and planetesimal growth in one comprehensive framework. The key aspects included in PLANETOIDS are: 1) investigating how dust grows and circulates in wind-driven circumstellar disks, 2) understanding where, when, and how many planetesimals can emerge and how this result depends on the properties and environment of the host star, 3) exploring the pathways of fast planet formation required to explain the observations of young circumstellar disks. With these developments, it will become possible to self-consistently simulate the decisive early stages of planet formation for the first time. The awaited results are essential for explaining the origin of the Solar System and the diversity of exoplanets.

Keywords: circumstellar disks,protoplanetary disks,preplanetary dust coagulation,planetesimal formation,planet formation theory
Alkaline electrolysers with enhanced durability (ENDURE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Public-private partnerships
Destination: Clean Hydrogen
Action type: Research and Innovation actions
Partnership: CLEANH2 (JU-JTI)
Countries involved: Estonia,Germany,Spain,Sweden,Belgium
Call: Advances in alkaline electrolysis technology (HORIZON-JTI-CLEANH2-2023-1, 2023)
Start date: 2024-01-01
End date: 2026-12-31
Duration (months): 36.0
Total project cost (EUR): 2492868.75
EU funding (EUR): 2492868.75
Participants: 6
Project status: SIGNED

Today’s alkaline electrolysers are typically operating at voltages exceeding 2 V/cell, corresponding to electrolyser power consumption >54 kWh/kg. Improved performance is often achieved by incorporating platinum-group metals (PGM) in electrode coatings, but the wider adoption of such approach is severely hindered by the limited availability and high cost of PGM. Not only does electrode degradation negatively affect the efficiency of the electrolyser stack, but also the efficiency of the entire system. Degradation also negatively affects CAPEX: due to degradation, the amount of waste heat that needs to be removed from the stack increases, which means that electrolyser components need to be significantly oversized. If electrolyser degradation rate could be reduced, it would result in two-fold benefits: 1) lower operating expenditures via lower energy consumption over electrolyser lifetime, 2) lower capital expenditures via lower level of oversizing of balance-of-plant components needed. Both would positively affect the levelized cost of hydrogen (LCOH). We aim to develop a PGM-free alkaline electrolyser stack with PEM-like performance and low degradation rate. Proposed innovations: • Development of 3D structured, laterally graded, flow-engineered, monolithic porous transport electrodes (PTE), drastically improving electrode kinetics and mass transport compared to state-of-the-art cells • Multi-level computational fluid dynamics (CFD) modelling coupled with advanced X-ray tomography • Novel PGM-free high performance electrocatalysts fabricated using inherently scalable methods • Stack-level improvements and performance validation using 100cm2 and 1000cm2 stack platforms, and benchmarking with state-of-the-art • Building upon the work done by the JRC, the development of harmonised test protocols and accelerated testing procedures for alkaline water electrolysers.

Keywords: alkaline electrolysis electrode development improved stack design cells testing durability,cfd,pgm free
Dynamics of mental representations and learning in preverbal infants (BBThoughts)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Human Mind and Its Compl exity
Panel description: Cognitive science, psychology, linguistics
Countries involved: France
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2024-10-01
End date: 2029-09-30
Duration (months): 60.0
Total project cost (EUR): 2496700.0
EU funding (EUR): 2496700.0
Participants: 2
Project status: SIGNED

Understanding the initial architecture and learning algorithms of the human brain are central goals for cognitive neuroscience. Anatomical and functional brain-imaging studies have revealed that a complex brain architecture is already present at birth, including features associated with adult brains such as structural and functional asymmetries, long-distance connectivity and activations in prefrontal cortex. Despite such advances, little is known about the depth of information processing and the richness of mental representations in human infants. To address this issue, I propose to study the dynamics of information processing and conscious access in 3–4-month-old-infants. Using high-density EEG (128-280 channels), combined with new methodological approaches such as decoding, single-trial analyses of variability patterns, and new paradigms that monitor infants’ attention with frequency tagging, pupillometry and eye-tracking, I will separate infants’ short-lived, externally triggered versus sustained, internally driven responses and shed light on their roles in early learning. WP1 will study whether the properties associated with conscious access in adults (ignition, top-down amplification, serial bottleneck) are already present in infants, and explore how ongoing neural activity, top-down expectations, and bottom-up stimulus features combine to modulate conscious access. WP2 will investigate the dynamics of acquisition and manipulation of symbolic representations. Experimental manipulations combined with fine-grained analysis of the temporal dynamics of EEG signals will clarify the time constants of infant cognition: how fast a stimulus enters perceptual awareness, how long attention can be maintained, how robust is this central representation to competing inputs, and how quickly it leads to stable learning. This project aims to enhance our understanding of early cognition, as well as provide new paradigms to shed light on early learning disabilities.

Keywords: eeg,infant learning,expectation,consciousness,symbols,brain,cognition
Geodesics And Geometric-ARithmetic INtersections (GAGARIN)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: Netherlands
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-05-01
End date: 2028-04-30
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

This project will develop several aspects of a theory of real multiplication (RM), seeking to be a counterpart of the theory of complex multiplication (CM) discovered in the 19th century. Classical CM theory is famed for its beauty and elegance, and is important in a variety of contexts. For instance: (1) in the classical era, it arose in the context of explicit class field theory. This feature is the subject of Kronecker's Jugendtraum and Hilbert's 12th problem, (2) in the modern era, it has been instrumental in proving known cases of the Birch-Swinnerton-Dyer conjecture, notably the results of Gross-Zagier which are a main theme of this proposal, (3) it has been used in elliptic and hyperelliptic curve cryptography, in cryptosystems based on supersingular isogeny graphs, one of the front runners for a secure post-quantum international standard. The objectives are to develop analytic, computational, and geometric aspects of such an RM theory, and address the full scope of these features. The theory is based on the notion of arithmetic intersections of geodesics, and this project gives a new approach towards RM theory based on a notion of p-adic weak harmonic Maass forms, and p-adic height pairings of geodesics attached to real quadratic fields. Emphasis will lie on analytic aspects (p-adic Borcherds lifts and p-adic mock modular forms), computational aspects (development of user-friendly software for computations in RM theory), and geometric aspects (RM cycles on Shimura curves, and applications to the Birch-Swinnerton-Dyer conjecture).

Keywords: modular forms,complex multiplication,p adic methods,elliptic curves
Advanced Numerics for Uncertainty and Bayesian Inference in Science (ANUBIS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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 CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2024-09-01
End date: 2029-08-31
Duration (months): 60.0
Total project cost (EUR): 1997250.0
EU funding (EUR): 1997250.0
Participants: 1
Project status: SIGNED

Scientific knowledge enters computers through data on the one side, and laws of nature – implicit equations like differential equations and symmetries – on the other. They both provide information, empirical and mechanistic, respectively, crucial to the deduction of new insights. But the algorithms that operate on these sources of information stem from different communities and different eras: machine learning – "big data" – on the one hand, and simulation methods – high performance computing – on the other. One of the problems that arise from this disconnect is that inferring latent forces that drive dynamical systems from data requires "shoehorning" different algorithms together in inefficient optimization loops; another one is that uncertainty from discretization and emulation is not fully tracked. Probabilistic numerical methods have emerged over the last decade as a holistic view on computation as inference. They provide a unifying language that can leverage empirical and mechanistic information. This proposal outlines a research program to complement and scale probabilistic numerical methods to enrich the quantitative scientist's toolbox along three axes: First, unifying uncertainty from empirical and computational knowledge in one common formalism, which allows the direct and robust combination of simulation and experimentation. Second, developing a rich and practical semantic language for the description of different types of knowledge – mechanistic, empirical, practical. Third, significant computational efficiency gains achieved by managing the computational process globally, instead of as a series of black boxes. Real scientific tasks will provide benchmarks and ensure practical relevance. An open-source software toolbox, complemented by regular summer schools, will ensure that the results reach their audience. As a result, ANUBIS will start a genuinely novel kind of quantitative scientific analysis at the intersection of simulation and machine learning.

Keywords: machine learning dynamical systems scientific machine learning
EUROpean Tidal energy pilot farm focused on Industrial Design, Environmental mitigation and Sustainability (EURO-TIDES)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Sustainable, secure and competitive energy supply
Action type: Innovation actions
Countries involved: Belgium,Netherlands,Germany,France,United Kingdom
Call: Demonstration of sustainable tidal energy farms (HORIZON-CL5-2023-D3-01, 2023)
Start date: 2023-12-01
End date: 2029-11-30
Duration (months): 72.0
Total project cost (EUR): 3653620.0
EU funding (EUR): 3192720.63
Participants: 8
Project status: SIGNED

There is 10GW of predictable, high-value tidal stream energy potential in European waters, with up to 100 GW of capacity globally . This is an almost entirely unharnessed clean energy resource, with just 13 MW currently deployed . Transitioning European market leading technologies from single deployments, up to farm scale, is the next milestone in harnessing this clean, predictable, secure, domestic energy resource. EURO-TIDES has been developed specifically to address the call topic by delivering a 9.6MW farm of four 2.4MW Orbital tidal energy devices of the same series. The farm will operate in full operational conditions for 15 years, deploying in 2027. The EURO-TIDES consortium will work collaboratively to deliver six ambitious objectives and drive the sector forwards: 1. De-risking tidal energy technology development by delivering a 9.6MW pilot farm and three pilot farm system innovations; reducing Levelised Cost of Energy (LCOE) of Orbital’s floating tidal technology from €120/MWh to <€100/MWh. 2. Increase bankability and insurability by providing 17,520 hours of operational data, displaying the production of 50GWh+, and verification of key technology metrics to internationally recognised methodologies: reducing cost of capital from 10%-12% to 5%-6%. 3. Increase availability of tidal stream by creating an efficient robust, replicable, and reliable operations and maintenance programme: increasing availability to 95%+. 4. Improve market confidence by developing industrial design and manufacturing processes: increasing supply chain capacity from one device per annum to 80 devices per annum. 5. Increase knowledge of environmental impacts to ensure appropriate environmental protection and mitigation is in place: enabling safe scalability to a 100GW+ global market. 6. Making performance, reliability and behavior data collected from the demonstration publicly available: accelerating scalability, commercialisation, and deployment of a 2GW+ project pipeline.

Keywords: tidal energy,tidal stream,marine energy,ocean energy
TIMELAPSE. A VR application for speeding up time passage during chemotherapy (TIMELAPSE)

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: Italy,Denmark
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2023-POC, 2023)
Start date: 2024-06-01
End date: 2025-11-30
Duration (months): 18.0
Total project cost (EUR): 171428.57
EU funding (EUR): 150000.0
Participants: 3
Project status: SIGNED

Chemotherapy can involve lengthy treatment sessions, lasting up to several hours. Such a duration, spent in an overly medicalized setting, can induce in the patients a monopolizing focus on their pathology, which leads to a substantial decrease in their mental well-being. One way to alleviate the impact of long chemotherapy sessions would be accelerating subjective time passage as perceived by the patients, therefore making the treatment seemingly end more quickly. Stemming from the ERC Advanced Grant AN-ICON, the TIMELAPSE project proposes to prototype, test, and launch on the market a virtual reality (VR) application that will accelerate subjective time passage during chemotherapy. The idea, whose singular aspects were the object of previous scientific evidence, was so far not implemented comprehensively. TIMELAPSE will fill this R&D gap with unprecedented methods and targets, adopting a patient-centred approach to innovatively incorporate in the conception of the VR application the irreplaceable perspective of its end-users: the oncologic patients. TIMELAPSE will take this idea to proof of concept by means of five subsequent phases: 1. Theoretical elaboration, to shape a theoretical hypothesis concerning what types of VR content might accelerate subjective time passage during chemotherapy; 2. Participatory design, to refine this hypothesis by incorporating the users’ perspective; 3. Production, to develop the content for the VR application, to obtain a prototype ready to be tested. 4. Assessment, to demonstrate the tolerability and effectiveness of the VR application; and 5. Pre-commercialization, to prepare the launch of the VR application on the market. To ensure appropriate methodological tools for each phase, TIMELAPSE will rely on a collaboration between three actors: a core research group (part of the AN-ICON team); an industrial partner expert in VR applications (Khora); and a clinical partner with substantial expertise in cancer treatment (Fondazione IRCCS San Gerardo dei Tintori).

Keywords: virtual reality time perception time passage judgement chemotherapy participatory design
An Open Ecosystem for European strategic autonomy and interoperability across the computing continuum industry (OpenContinuum)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: World-leading Data and Computing Technologies
Action type: Coordination and support actions
Countries involved: Netherlands,Germany,Spain,France
Call: Coordination and Support of the ‘Cloud-Edge-IoT’ domain (CSA) (HORIZON-CL4-2021-DATA-01, 2021)
Start date: 2022-09-01
End date: 2024-08-31
Duration (months): 24.0
Total project cost (EUR): 1489750.0
EU funding (EUR): 1489750.0
Participants: 5
Project status: CLOSED

OpenContinuum addresses the coordination and support of the Cloud-Edge-IoT domain, with a specific thematic focus on the supply-side of the computing continuum landscape. An integrated, open ecosystem built around Open Source, Open Standards, and the effective blending of the two vibrant European communities of Cloud Computing and Internet of Things (IoT) is the key enabler for European prosperity in the Cloud-Edge-IoT domain and more widely in the data economy. Therefore the core ambition of OpenContinuum is fostering European strategic autonomy and interoperability through an open ecosystem for the computing continuum. Such an ecosystem will contain the research and innovation projects in the Cloud-Edge-IoT portfolio to be coordinated, the diverse community evolved from the current Cloud and IoT ones, with the addition of further actors, initiatives, and alliances of significance. The supply-side nature of OpenContinuum's agenda will orient the themes and focus of the project activities, but will not limit the scope of the community building. The active landscaping and engagement work of the project will be key to bring the Cloud and IoT communities together and to express all points of view with a common language and understanding. OpenContinuum will then provide strong guidance and support to European computing continuum actors to contribute to and lead open-source projects and standardisation efforts. Key project contributions to the relevant expected outcomes include: a baseline common open architecture for computing continuum research projects, reinforced collaboration between European public and private initiatives from Cloud to edge to IoT, and increased awareness on the importance of Open Source and standards for EU digital autonomy. These contributions, arising from project results, will evolve further towards larger-scale impacts and strategic objectives for European technological, economic, and societal advancement.

Keywords: computing continuum coordination cloud edge iot landscape digital autonomy strategy community building
The Multisensory Brain in a Social World: When, Where, and How Do Multisensory and Social Processes Interact in the Brain? (MBraiS)

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: Austria,Netherlands
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 183600.96
EU funding (EUR): 183600.96
Participants: 2
Project status: CLOSED

Sensory experiences are a vital aspect of human existence. In everyday life, our senses are flooded with input, constantly picking up multiple unisensory signals at once. In our brain, these incoming signals are either processed separately or integrated into one unitary percept – a process known as "multisensory integration". Intriguingly, this integration process can be affected by the social context people find themselves in, for example such that people perceive certain perceptual illusions more intensely when experiencing them jointly with another person. To date, this effect has been observed on a behavioral level yet it is not clear what happens in the human brain – on a neurophysiological and computational level. Thus, in the proposed research I will investigate the interplay between multisensory and social processes from a neuroscientific perspective. I aim to (1) identify when the social context affects multisensory processing, (2) localize where in the brain the social context affects multisensory processing, and (3) model how the social context affects multisensory processing. To this end, I will conduct experimental studies, using a combination of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI), complemented by a cognitive modeling approach. I will use EEG to address the temporal (when) and fMRI to address the spatial processing dimension (where). To address the third objective (how), I will fit a Bayesian causal inference model to the behavioural data. The overarching goal of my research is to extend the current view on multisensory processing by a social component, thereby contributing to a more holistic account of human perceptual processing.

Keywords: multisensory perception social cognition,joint action