Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Phase-Locked Photon-Electron Interactions for Ultrafast Spectroscopy beyond T2 (UltraSpecT)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Condensed Matter Physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Germany
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-06-01
End date: 2030-05-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

Based on my groundbreaking advancements in realizing internal radiation sources inside electron microscopes, generating ultrashort and coherent electromagnetic radiations in interaction with electron beams, I propose to develop a platform for ultrafast and phase-locked electron-beam spectroscopy of solid-state-based quantum networks, beyond the dephasing time T2. My platform relies on the following key elements: (i) shaping electron wavepackets with light, (ii) implementing three-dimensional electron-driven photon sources, and (iii) employing correlative measurements to unravel the quantum statistics of photons evolving in solid-state-based photonic systems and quantum networks. This scenario enables an outstanding temporal resolution and an unprecedented degree of mutual coherence between the radiation sources and the near-field of the electron wavepacket itself. By combining these capabilities, I aim to map the excitation/emission paths, quasi-particle interactions, charge and energy transfer dynamics, as well as quantum jump and revival processes at the attosecond timescale and nanometer spatial resolution. UltraSpecT opens new horizons in quantum-sensitive measurements, leveraging novel technological advancements in electron microscopes to explore the frontiers of quantum science. It aims to investigate decoherence dynamics beyond T2 using electron microscopes, enabling the exploration and manipulation of photon dynamics in individual single-photon emitters coupled to or embedded in quantum networks. UltraSpecT's ambitious goals span a highly interdisciplinary field, combining quantum optics with electron microscopy. My team and I will address the ambitious aspects of UltraSpecT by applying our extensive knowledge in both theoretical and experimental aspects of electron – light – matter interactions. I will further implement a risk mitigation plan that includes employing a variety of methods to realize our required radiation sources and beam shaping strategies.

Keywords: electron photon interactions,cathodoluminescence spectroscopy,decoherence,correlative measurements,nano and quantum optics,single photon emitters,metamaterials,electron driven photon sources
Real-time inversion using self-explainable deep learning driven by expert knowledge (IN-DEEP)

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: Information Science and Engineering
Countries involved: Spain,Italy,Belgium,France,Poland,United Kingdom
Call: MSCA Doctoral Networks 2022 (HORIZON-MSCA-2022-DN-01, 2022)
Start date: 2024-02-01
End date: 2028-01-31
Duration (months): 48.0
Total project cost (EUR): 2159165.83
EU funding (EUR): 2046614.4
Participants: 9
Project status: SIGNED

IN-DEEP is a European Doctoral Network composed of nine doctoral candidates (DCs) and top scientists with complementary areas of expertise in applied mathematics, artificial intelligence, high-performance computing, and engineering applications. Its main goal is to provide high-level training to the nine DCs in designing, implementing, and using explainable knowledge-driven Deep Learning (DL) algorithms for rapidly and accurately solving inverse problems governed by partial differential equations (PDEs). Inverse problems in which the unknown parameters are connected to experimental measurements through PDEs cover from medical applications - like cancer growth assessment - to the safety of civil infrastructures, and green geophysical applications such as geothermal energy production. Their application value is measured in human lives and society's well-being, which goes beyond any quantifiable amount of money. This is why equipping a new generation of specialists with highly-demanded skills for the upcoming transition toward safe and robust AI-based technologies is imperative. Despite the promising results in many applications, DL for PDEs has severe limitations. The most troublesome is its lack of a solid theoretical background and explainability, which prevents potential users from integrating them into high-risk applications. IN-DEEP aims to remove these constraints to unleash the full potential of DL algorithms for PDEs. We will achieve this by: (a) focusing on emerging applications of DL for PDEs with immense societal and/or industrial value, (b) designing mathematics-infused advanced solvers to address them efficiently, and (c) involving, from the beginning, industrial and technological agents which can monitor, upscale, and exploit this knowledge. On the way, we shall establish the foundations of a better knowledge exchange ecosystem amongst the main academic and industrial actors within Europe, disseminating the results worldwide.

Keywords: deep learning,knowledge based ai,inverse problems
Engineered Porous Electrodes to Unlock Ultra-low Cost Fe-Air Redox Flow Batteries (FAIR-RFB)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: Netherlands
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 1999958.0
EU funding (EUR): 1999958.0
Participants: 1
Project status: SIGNED

This proposal will develop a game-changing paradigm to design, synthesize, and functionalize porous electrode materials with far-reaching consequences in electrochemical science and engineering. Focusing on the Fe-air redox flow battery (FAIR-RFB), which holds promise for low-cost, long duration energy storage, I will employ an interdisciplinary approach bridging (electro)chemical engineering, materials science, and computational design to address the following fundamental challenges: (1) I will elucidate the role of the porous electrode microstructure. I will introduce a new methodology that couples evolutionary algorithms with microstructure-informed simulations to predict ideal electrode geometries. A versatile synthetic platform, non-solvent induced phase separation, will be leveraged to synthesize highly controlled 3D microstructures and train neural networks to accelerate the discovery of optimal geometries. (2) I will determine to what extent surface moieties of the porous electrode influence transport phenomena, kinetics, and durability. I will employ electrografting of select molecules to functionalize porous electrodes and impart functional properties (wettability, activity, stability). I will perform nanoelectrochemical imaging to elucidate the role of electrode-coating-electrolyte phenomena. (3) I will develop a novel electrochemical reactor architecture for high-power Fe-air RFBs. Building upon the two previous developments, I will synthesize tailored iron and air electrodes and leverage polymeric bipolar membranes to realize a high voltage and low resistance electrochemical cell. Advanced imaging techniques, i.e. energy- and wavelength-selective neutron imaging, will be employed to visualize reactive transport phenomena during operation, thus helping to address these questions. The novel approaches developed in FAIR-RFB will enable breakthroughs in performance and durability of large-scale electrochemical energy storage systems.

Keywords: redox flow batteries,porous electrodes,mass transport,gas diffusion electrodes,electrochemical energy storage
Boosting water depollution: development of a novel hybrid photocatalytic membrane for removal of contaminants of emerging concern (HYCEM)

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: Belgium,United Kingdom
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-07-01
End date: 2026-06-30
Duration (months): 24.0
Total project cost (EUR): 191760.0
EU funding (EUR): 191760.0
Participants: 2
Project status: SIGNED

Emerging pollutants, including pharmaceuticals and endocrine-disrupting compounds, are drawing serious global attention due to their persistent nature in the environment and potential health implications. To address these challenges, I haveHYCEM is centered on the development of an innovative Z-scheme photocatalytic membrane optimized for the degradation of contaminants of emerging concern (CEC) in water. Furthermore, this project aims to improve the heterojunction structure by applying surface engineering which results in dendritic morphology and unique electron transfer channels. By harnessing a hybrid system of degradation and separation by developing a metal-organic framework (MOF) photocatalytic heterojunction, immobilized on a PDOT membrane with the epitaxial growth method, HYCEM will overcome challenges related to low photoactivation, rapid charge recombination, limited surface area, and stability. Emerging pollutants, including pharmaceuticals and endocrine-disrupting compounds (EDCs), are drawing global attention due to their persistent nature and potential health implications. Addressing this, the integrated HYCEM system not only promises effective CEC degradation but also eliminates intermediate by-products—mitigating secondary pollution, optimizing photocatalyst reuse and coping with the challenges of the commercial application. A pioneering facet of HYCEM is its ability to utilize visible light for degradation, offering an environmentally friendly alternative to the conventional energy-intensive UV light methods. Additionally, this project will enrich our knowledge on CEC degradation pathways, presenting invaluable data for future chemical oxidative treatments. Beyond the technical advancements, HYCEM also emphasizes my training, enhancing my skills in diverse aspects of management and leadership to a high level, ensuring I gain both specialized knowledge in the field and broader competencies that will significantly improve my professional development.

Keywords: photocatalysis,micropollutants,membrane,visible light,epitaxial growth
Fever. Global Histories of (a) Disease, 1750–1840 (FEVER)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Study of the Human Past
Panel description: Archaeology and history
Countries involved: Germany
Call: ERC CONSOLIDATOR GRANTS (ERC-2022-COG, 2022)
Start date: 2023-10-01
End date: 2028-09-30
Duration (months): 60.0
Total project cost (EUR): 1730895.0
EU funding (EUR): 1730895.0
Participants: 1
Project status: SIGNED

Fever is one of the most basic and pervasive of human experiences. Even before the current COVID-19 pandemic took this to new extremes, fever and the attendant sensations – of ‘burning up’, or having one’s temperature taken – had long been familiar to men, women and, indeed, children. While fever is a universal feature of humans’ material existence, however, its relevance and meaning differed from one historical context to another. The proposed ERC project studies fever globally, particularly in societies within or tied to the Atlantic world, in the century spanning from the 1750s to the 1840s – a time when fever was not only considered the most common ailment that afflicted mankind, but also its most fatal one; ‘more persons died of fever than of all other ailments combined’, as contemporaries saw it. Given that fever was a threatening, ubiquitous presence for men and women around 1800, we know surprisingly little about it; as one medical historian recently put it, ‘fever has been the invisible elephant in the china shop of the medical past’. Premised upon archival research in countries across the world, the various subprojects expose and explain the unusual prevalence of fever in the period’s medical record; its persistent association with particular, ‘insalubrious’ environments rather than contagion; the unceasing relevance of vernacular, ‘folk’ and indigenous fever remedies in many Atlantic societies; and fever’s resonance and relation with similar disease concepts in other, non-European empires. The project also breaks new ground methodologically in its global, ‘new materialist’ and interdisciplinary approach – its dialogue with the medical sciences, history and philosophy of science, and environmental studies. It poses questions fundamental to our understanding of both the past and the present: about the rise and fall of diseases, the credibility of medical knowledge, and how cultural and historical contexts affect suffering and physiology, and vice versa.

Keywords: disease,global,indigenous,contagion,atlantic
ORION: New generation controlled environment biofarming platform for sustainable plant-based ingredients production at scale (ORION-BIOPOD)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: France
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

Shifting climatic patterns, extreme weather conditions, population growth, rapid urbanization, pests, and water scarcity negatively impact conventional outdoor farming practices. As a result, the natural ingredients for fragrance and flavor, cosmetics, and pharmaceutical industries, which are primarily sourced from traditional agriculture today, now face a fragile market supply chain. Furthermore, the widespread adoption of greenhouse farming solutions is limited by high production costs, significant energy requirements, and suitability for only a limited number of growing species. In addition to the need for consistent quality and quantity of supply, the market is currently experiencing strong demand for clean and traceable plant-based ingredients that are ethically sourced and do not contribute to biodiversity loss or cultural degradation. To overcome the existing limitations and meet the market needs, Interstellar Lab offers a cost and resource-efficient controlled environment biofarming platform ORION with sustainable growing capabilities for a wide range of plant species enabling optimal yield and a consistent supply of agricultural produce. ORION is designed as an inflatable membrane inside with perfect climatic and environmental conditions where plants can grow. The automated AI algorithm monitors and tweaks high-precision conditions, optimizing plant growth without any human intervention. ORION does not require any foundation or access to water, and it can be deployed anywhere within a short duration. It is completely automated, captures CO2, recycles 99% of the used water, increases yield up to 45x, reduces the land footprint, and offers growing capabilities to optimize the growth of species that are known to be difficult/impossible to cultivate outside of their native habitat. In this project, Interstellar Lab will develop the operational prototype of ORION and validate the BioPark concept of connecting two ORIONs with a connector for scalable production

Keywords: sustainable agriculture,biofarming platform,sustainable terrestrial ecosystem,climate change,plant based ingredients,controlled environment farming,carbon capture
Revealing cellular behavior with single-cell multi-omics (X CELL)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physical and Analytical Chemical Sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Sweden
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): 2499864.0
EU funding (EUR): 2499864.0
Participants: 1
Project status: SIGNED

Chemical reactions govern cellular behavior, and are revealed by analysis of small molecules involved in intracellular metabolism. Individual cells in biological systems continuously adapt to improve survival and biological function, making them chemically and behaviorally heterogeneous. Unraveling this heterogeneity is essential to realize the correlation to disease state and health, but it is masked in bulk analyses of millions of cells. I propose to develop a groundbreaking analytical approach for multi-omics of living individual cells to reveal variability in cellular behavior. This will be achieved by coupling a microfluidic device that enables controlled chemical exposure of a cell, to an efficient ionization probe for on-line time-resolved mass spectrometric measurements. By measuring the dynamics of each cell’s metabolome, lipidome, and secretome, novel insights into heterogeneity in intracellular activities will be gained. In addition, the level of heterogeneity will be uncovered through correlation with the cell’s transcriptome. A special emphasis will be given to characterize individual β-cells that are key regulators of blood glucose by insulin secretion and whose dysfunction leads to type 2 diabetes. The behavior of individual β-cells is heterogeneous and ranges from complete failure to secrete insulin to compensating with increased secretion. I will use the single-cell multi-omics approach to test the hypothesis that intracellular metabolism is the key to β-cell dysfunction, and analyze healthy and diabetic β-cells upon chemical exposure to establish i) their metabolic heterogeneity and differences, ii) variations and temporal dynamics in their metabolic behavior and iii) metabolic roadblocks that correlate with β-cell dysfunction. The single-cell multi-omics approach will open new horizons for understanding cellular heterogeneity, realizing cellular behavior that promotes health, and identifying treatment targets.

Keywords: mass spectrometry,single cell,metabolites,lipids
Quantum Complexity from Quantum Field Theories to Quantum Gravity. (QCOMPLEXITY)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Fundamental Constituents of Matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Sweden
Call: ERC CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2024-10-01
End date: 2029-09-30
Duration (months): 60.0
Total project cost (EUR): 1814566.0
EU funding (EUR): 1814566.0
Participants: 1
Project status: SIGNED

Quantum field theories (QFTs) are our best models to describe nature, from new phases of matter to black holes. Still, to simulate them efficiently, we need to know the best ways to create interesting quantum states from the basic building blocks used in computation. This problem necessitates a precise definition of “quantum complexity”, to quantify what is hard and what is easy in QFTs, and its provision is one of the most urgent problems at the interplay between theoretical physics, quantum information and computation. This project aims to develop precise measures of the complexity of states and operators in QFTs and apply them, in the holographic correspondence, as new probes of black hole interiors. Recent attempts to quantify complexity, pioneered by PI and his group, have explored geometric, path integral and Krylov methods, preparing the ground for a universal approach to complexity in quantum systems. Building on this, the project objectives are to: - synthesise and develop complexity measures for QFTs, - formulate them in exact holographic models, - apply them to shed new light on the physics behind black-hole horizons and spacetime singularities. Developing complexity measures in open quantum systems, models with additional symmetries and quantum scars, and quantifying the complexity of modular evolution are among the key milestones to achieve the objectives. Our methods will involve analytical and numerical computations in free and interacting QFTs, including integrability, conformal symmetry, Krylov basis, Arnoldi algorithm, and finally, the AdS/CFT correspondence and quantum gravity. This interdisciplinary and timely project will push the boundaries of our understanding of QFTs and black holes. The new tools that we will develop will allow us to chart the complexity frontier of quantum many-body systems, help to understand thermalisation, and shed light on the behaviour of matter near cosmological singularities relevant to our early universe.

Keywords: quantum information in quantum gravity,quantum complexity in quantum field theories and ads cft,holographic duality,conformal field theory