Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A pocket-sized Universal Cold-atom Engine enabling Ubiquitous Quantum Sensing (POQUET)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: United Kingdom
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 24.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Europe faces a critical challenge in maintaining its technological sovereignty & competitiveness in the rapidly evolving field of sensor technologies as existing classical solutions reach their limits. Quantum sensing promises a leap in precision & sensitivity; however, current systems are bulky, power-hungry, & limited in application, hindering widespread adoption & limiting our ability to lead this strategic sector. As quantum sensing moves from labs to real-world applications, there is an urgent need for a miniaturized, robust, & versatile system that can operate in diverse environments. Aquark addresses this via our groundbreaking Quantum Universal Engine (QUE). Based on our proprietary Super-Molasses Trap technology, we have developed a cold-atom platform that is orders of magnitude smaller, more energy-efficient, & more versatile than existing solutions. Our innovation has already enabled shoebox-sized quantum sensors with performance comparable to room-sized laboratory setups, paving the way for applications in telecommunications, aerospace, & more. Our breakthrough lies in eliminating the need for magnetic fields in atom trapping, dramatically reducing system complexity & power consumption while enhancing robustness. This unique approach allows for development of our universal platform adaptable to various quantum sensing applications, from atomic clocks to gravimeters to RF antennae. To achieve this ambitious goal and overcome technical & market risks associated with deep-tech innovation, Aquark seeks EIC Accelerator grant support. This will enable us to miniaturize our current prototype to a pocket-size QUE, conduct pilots with European partners, and scale up our team & operations towards successfully bringing our commercial sensing products to market by 2027. The EIC's strategic support will be catalytic in leveraging Aquark's innovation to drive Europe's digital & green transitions and ensuring this critical technology is developed & retained in EuN/A

Keywords: quantum sensing,cold matter,cold atoms,quantum technology,inertial sensing,pnt,navigation,high precision,cold atom trapping,portable quantum sensors,telecoms,aerospace
AI-driven math platform centered on student solutions (AI in Math Education)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Sweden
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 24.0
Total project cost (EUR): 2499999.0
EU funding (EUR): 2499999.0
Participants: 1
Project status: SIGNED

Magma is a service for Schools, Districts and Municipalities to enable a more engaging and informed math education. Math is one of the core pillars of a meaningful primary and secondary education, but the subject remains the main reason for students failing and dropping out of school. Through an engaging interface, superior analytics and AI-driven insights Magma is supporting teachers in creating better math lessons and improving results. Magma creates a more engaging math lesson by allowing students to answer math problems on a tablet, or computer with instant feedback on student performance. The big differentiator between other math platforms is that Magma allows student to answer problems with elaborate, handwritten solutions, similar to working with a pen and paper. Using AI Magma interprets student solutions, identifies well communicated solutions, provides hints on improvements, and helps out with any misconceptions the student might have had. This allows the software to not only grasp what the student did right or wrong, but also how the student thought about the problem. All student solutions are sent in real time to the teacher, enabling a unique insight into student thinking during each and every math lesson. Teachers use this opportunity to highlight meaningful concepts from students and how diverse thinking in the class can help other students in the class. Furthermore detailed analytics allows teachers to pinpoint the exact misconceptions that might exist in the classroom. Magma enables AI-driven insights to teachers in order for them to understand what to do next in their teaching. This allows all teachers to feel confident in how to adress the class and to support students across the learning spectrum. Finally Magma is building AI-generated math content that is tailored to the needs of the teacher, class and student. This allows for a human centered approach to math education where AI is integrated as a natural layer in every math lesson.

Keywords: math,education,k12,ai,artificial intelligence
Paving the Way for Advanced Ferroelectric Nematic Polymer Materials: The POLY-FEN Project (POLY-FEN)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Netherlands
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-04-01
End date: 2026-03-31
Duration (months): 24.0
Total project cost (EUR): 187624.32
EU funding (EUR): 187624.32
Participants: 1
Project status: SIGNED

Ferroelectric nematic liquid crystals (NF-LCs) represent a unique and promising class of materials with exceptional properties that have the potential to revolutionize a wide range of technological applications, promising reduced energy consumption and improved switching speed. To fully harness the potential of NF-LCs, a key step is their transformation into processable polymers, facilitating their integration into practical engineering applications for ultra-fast electro-optical switches and modular optics. The "Polymer-Ferroelectric Nematic" (POLY-FEN) project is dedicated to the synthesis of processable and photo-responsive polymer networks with extreme dipoles derived from room-temperature NFs and harness their properties to create innovative solutions that outperform conventional technologies. I will demonstrate the advantages of the synthesized materials by building devices in which the alignment and 3D topography of the polymer films can be re-written by actuation with electricity and light. POLY-Fen leverages recent advancements in the field of NFs, my unique skill set in synthesis and design of building-blocks for stimuli-responsive materials, and the extensive knowledge of the host group in liquid crystalline materials and device engineering. The POLY-FEN project represents a substantial step toward unlocking the potential of NF-LCs, positioning them as a cornerstone for future LC device innovations. Since their discovery in 2017, only a few NF motifs have been reported. Of these, none show inherent stimuli-responsive behavior, further emphasizing the pioneering nature of the proposed work. The knowledge and innovation generated by this project will not only advance my career but also provide substantial societal and economic benefits through tangible advancements in the fields of energy-efficient electronics, advanced optics, and other high-impact technologies.

Keywords: photoresponsive materials,adaptive materials,dielectrics,ferroelectric liquid crystals
Cryogenic on-chip Levitated Optomechanics for a Spin Entanglement witness to Quantum Gravity (CLOSEtoQG)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Fundamental Constituents of Matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Netherlands
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-06-01
End date: 2028-05-31
Duration (months): 72.0
Total project cost (EUR): 2445909.0
EU funding (EUR): 2445909.0
Participants: 1
Project status: SIGNED

This proposal addresses one of the key challenges of modern physics: understanding the interface between quantum mechanics and general relativity. Recently, an experimental test was proposed that can directly witness the need to unify the two theories: observing quantum entanglement between objects that only interact through the gravitational field. A successful test would prove the existence of superpositions of space-time and have far-reaching implications on how we understand our world. So far, no experimental platform exists that can meet the challenging central requirement for this test: A picogram-scale mass in a micrometre-scale spatial superposition with a second-scale coherence time. Here I propose to build such a platform. The objectives of the research are to trap and levitate a picogram mass, cool its centre-of-mass motion to the quantum ground state, couple its motion to a controllable qubit system and, finally, produce and measure a spatial superposition of the mass. Considering all requirements, I identify the unique combination of techniques necessary to achieve this: - diamagnetic levitation at cryogenic temperatures using on-chip superconducting coils; - on-chip superconducting quantum interference device (SQUID)-resonator based sideband cooling; - coupling to solid-state spin qubits. Combining recent microfabrication techniques for chip-based confinement of micro-particles, high-Q resonant circuits and microscopic diamond membranes with spins, it is now possible to realize this system in the lab. My extensive experience with spins and nanomechanical systems as well as microfabrication and low-noise cryogenic measurements, and Leiden University?s infrastructure for vibration-isolated cryogenics supports CLOSEtoQG?s objectives. The research would represent a major step towards a spin-based entanglement witness of quantum gravity. Moreover, each sub-objective can benefit applications in force sensing and magnetic resonance force microscopy.

Keywords: quantum gravity,levitation,entanglement,spin qubits,optomechanics,quantum foundations,force sensing,
Aluminum STEAM combustion for clean energy (A-STEAM)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Products and Processes Engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Germany
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): 2498481.0
EU funding (EUR): 2498481.0
Participants: 1
Project status: SIGNED

Metal fuels are emerging as a zero-carbon, high-energy density replacement for fossil fuels due to their availability and recyclability using renewable energy. Aluminum (Al) powder has been investigated mostly in air/O2 as an additive in solid rocket engines. Recently, Al continuous pressurized combustion in steam has attracted considerable interest for on-demand co-production of high-temperature heat and H2. Combustion in pressurized steam lowers flame temperatures and minimizes emissions of undesirable and hard-to-collect Al2O3 nanoparticles. Quantitative understanding of the dynamics of multi-phase and multi-scale Al-steam flames, driven by microscopic transport processes, phase changes, as well as homogeneous and heterogeneous chemical reactions at the particle level, is largely lacking. A-STEAM will unravel the fundamental properties of pressurized Al-steam flames for the entire scientific chain, from single particles to turbulent flames with millions of particles, through a well-orchestrated combination of high-fidelity simulations, advanced modeling, and tailored experiments. We will combine and develop our unique computational capabilities in fully resolved direct numerical simulations (FR-DNS) at the particle level, novel particle-in-cell (PIC) models considering particle-attached/particle-detached flames and Al2O3 nanoparticle formation, carrier-phase DNS (CP-DNS), and large eddy simulations (LES) of turbulent confined flames. The unique combination of numerical studies and tailored experiments will lead to a substantial breakthrough in knowledge by quantifying physicochemical processes in Al-steam combustion, bridging the gap between single particles and turbulent flames. Our numerical-experimental database of reference Al-steam flames, together with science-based best practice guidelines for future Al burners, will also empower the broader metal fuel research community and guide future system design and implementation of this carbon-free technology.

Keywords: metal fuels,aluminum steam combustion,zero carbon energy,on demand generation of high temperature heat and hydrogen
Combining Artificial Intelligence and smart sensing TOward better management and improved quality of LIFE in chronic obstructive pulmonary disease – Hop on (TOLIFE-Hop)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Destination: Improved access to Excellence
Action type: Research and Innovation actions
Countries involved: Italy,Greece
Call: Hop on Facility (HORIZON-WIDERA-2023-ACCESS-06, 2023)
Duration (months): 24.0
Total project cost (EUR): 379375.0
EU funding (EUR): 379375.0
Participants: 2
Project status: CLOSED

The TOLIFE-HOP project aims to enhance the management and quality of life for patients with Chronic Obstructive Pulmonary Disease (COPD) through the integration of Artificial Intelligence (AI) and smart sensing technologies. Coordinated by the Università di Pisa, the project brings together an assorted consortium of partners from Italy, Belgium, Spain, Germany, and Greece. The main objective of the project is to develop and clinically validate an AI-based platform that processes patient-specific data from unobtrusive sensors to optimize treatment, predict exacerbations, and assess health outcomes. The project includes a comprehensive validation phase involving multiple clinical sites across Europe. The Thorax Research Foundation (TRF) in Greece will play a crucial role in recruiting a diverse patient population, enhancing the statistical power and generalizability of the AI tools. The methodology emphasizes external validation to ensure the AI tools perform well in real-world scenarios, reducing potential biases and improving accuracy. The inclusion of TRF as a widening partner will amplify the project’s impact by broadening the geographical and clinical diversity of the study. This will enhance the robustness of the AI tools and ensure their applicability across different healthcare systems. The project aims to influence future research and innovation ecosystems, promoting cross-disciplinary collaboration and continuous knowledge exchange.

Keywords: copd monitoring and management prediction of copd exacerbations trustworthy artificial intelligence for health smart sensors health technology assessment external validation
Using an organoid model to understand epithelial immunity in IBD (Epi-IBD)

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: Life Sciences
Countries involved: 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): 187624.32
EU funding (EUR): 187624.32
Participants: 1
Project status: SIGNED

As the first line of defense against intestinal pathogens, gut epithelial cells are an essential part of the immune system. They may play an important role in immune-mediated diseases such as Inflammatory Bowel Disease (IBD). IBD is a group of disorders characterized by chronic inflammation of the gastrointestinal tract. IBD prevalence is high in Western countries (0.3% in 2018) and it is rising in newly industrialized countries. A prevailing model is that the interplay of two factors may cause IBD. First, a genetic predisposition weakens the gut immune system and causes high susceptibility to bacterial infection. Second, pathogenic bacteria infect the gut and trigger chronic inflammation. It is still unclear how the gut immune system may fail to repress bacterial infection in IBD. Historically, most studies have been focusing on immune cells of the hematopoietic lineage, such as macrophages and lymphocytes. However, the role of gut epithelial cells in controlling gut microbes is now gaining increasing attention. In this project, I propose to use organoids composed of differentiated intestinal cells to study how the intestinal epithelium responds to bacterial infection in the context of IBD. I will establish an in vitro model of IBD based on human small intestine organoids. I will infect the organoids with the bacterium Adherent-Invasive Escherichia coli (AIEC) and study how the differentiated intestinal cells respond to AIEC invasion. I will both test the relevance of a well-known IBD genetic predisposition (the mutation 1007fs in Nucleotide-binding oligomerization domain 2 (Nod2)) and explore novel mechanisms underlying the immune response of gut epithelial cells using RNAseq and CRISPR base editing. My project will dissect the molecular mechanisms of IBD. In addition, it will improve our understanding of the immune response of epithelial cells, which are an under-studied component of the immune system.

Keywords: ibd epithelium immunity bacteria organoid
Theory, Phenomenology, and Cosmology of the Multiple Axion Scenario (AxionCount)

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: Switzerland
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-11-01
End date: 2027-10-31
Duration (months): 24.0
Total project cost (EUR): 292118.88
EU funding (EUR): 292118.88
Participants: 1
Project status: SIGNED

AxionCount aims to explore the theoretical and phenomenological implications of the existence of multiple axions in nature. Axions are hypothetical particles that could resolve two major enigmas in fundamental physics: the origin of dark matter and the absence of CP violation in the strong sector. Given their potential significance, extensive theoretical efforts and strong experimental programs have been launched to investigate their existence. However, several well-motivated theories suggest that the axion may not exist in isolation but alongside other scalar companions. Despite this, much current research focuses on the single axion paradigm. AxionCount's primary goal is to explore how the axion experimental program could address the questions: How many axions exist? How would the presence of multiple species alter the axion quest? The project will develop new tools to study the implications of multiple axions. On the theoretical side, AxionCount will investigate axion oscillations, construct the Effective Field Theory for multiple axions, and explore models that predict the existence of several axions. On the phenomenological side, the project will assess how experimental constraints are modified by the presence of multiple axions. Special emphasis will be placed on how experiments such as CAST and IAXO at CERN, the host institution, can distinguish a multiple axion signal from that of a single axion. Finally, from a cosmological perspective, AxionCount will analyze the evolution of multiple axions in the early universe and calculate the axionic dark matter abundance. Overall, AxionCount aims to rethink the parameter space of multiple axions, expanding experimental opportunities and fostering synergies not only between theory and experiment, but also among different experimental efforts, as their findings may be interconnected within the multiple axion framework.

Keywords: axions,axion like particles alps,particle phenomenology,particle cosmology,dark matter production mechanisms,strong cp problem,multiple axions,effective field theory eft,hilbert series
UNRAVELLING THE JURASSIC RADIATION OF AVEROSTRA (DINOSAURIA, THEROPODA) FROM NEW DATA OF ITS MOST COMPLETE ARGENTINIAN EARLY REPRESENTATIVES AND EXHAUSTIVE PHYLOGENETIC ANALYSES (JurRad)

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: Environment and Geosciences
Countries involved: Germany,Argentina
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-02-13
End date: 2025-04-12
Duration (months): 26.0
Total project cost (EUR): 152023.68
EU funding (EUR): 152023.68
Participants: 2
Project status: CLOSED

Averostra is the major-group of theropod dinosaurs that includes Tetanurae and Ceratosauria, and it constitutes one of the most debated monophyletic groups within Theropoda, due to the unclear interrelationship of its basal members and the relationships between their major clades. From Early to Late Jurassic, an explosive radiation of Averostra happened, the Pliensbachian-Toarcian extinction event probably being one of the major causes for the explosive evolution of theropods and the radiation of averostrans. The consequent rapid radiation following this extinction event and the increase of morphological changes might be closely related to high peaks of homoplasy in the basal nodes within these principal clades. These homoplastic peaks together with the fragmentary nature of the fossil record of the basal members could be the cause of the problematic phylogenetic relationship of its taxa. Through this research project, I aim to obtain a robust and synthetic view of the evolutionary drivers of the radiation of Averostra during the Jurassic, in order to explore when averostrans originated at the latest, and unravel the impact of the Pliensbachian-Toarcian extinction on their radiation and how the different lineages were established in the aftermath. To achieve this goal, the most complete early members of the two main averostran lineages, Ceratosauria and Tetanurae, the probably late Early Jurassic species from Chubut (Argentina), Eoabelisaurus mefi and Asfaltovenator vialidadi, will be studied in detail. These taxa are exceptionally complete and show unique character combinations, which will be essential for reconstructing character transformations and the role of homoplasy in the early evolution of Averostra. The opportunity to lead my research to the origin of the most important lineage of Theropoda would imply the enhancement of my knowledge in this matter and the development of my paleontological career.

Keywords: paleobiology,dinosaurs,mesozoic,extinction event,evolution