Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Modelling of three-phase flows with catalytic particles (MOD3CAT)

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: Netherlands
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 2499481.0
EU funding (EUR): 2499481.0
Participants: 1
Project status: SIGNED

This proposal is on modelling of 3 phase gas-solid-liquid multi-component flows with catalyst particles, which are frequently encountered in industrial applications, but have not been tackled fundamentally before due to their complexity. Dense multi-phase flows have been intensively researched because of their scientifically interesting transport phenomena and industrial applications. Considerable progress has been made for gas-solid and gas-liquid two-phase flows. However, catalytic multicomponent three-phase flows have received relatively little attention despite their importance for the production of clean synthetic fuels, base chemicals, and many other products. Multiphase transport phenomena in such systems are poorly understood due to their complexity. Therefore the design of processes is cumbersome. In addition, the process operation is often far from optimal in terms of energy and feedstock utilization. Therefore significant improvements are required to boost the efficiency of three-phase systems, which demands for a better understanding of the transport fundamentals and complex interplay with chemical reactions and availability of predictive tools. The main underlying problem is the wide range of length scales: suspended catalyst particles have a size of 100-200 μm, whereas the diameter of industrial reactors is 5-10 meters. To tackle this problem a multi-scale modeling strategy is required. At the finest scale detailed models take into account the interaction between the phases. These interactions are condensed in closure laws for mass, momentum and heat exchange that feed so-called Euler-Lagrange models, which can then be used to compute the flow structures on a much larger (industrial) scale. The key innovative aspect of this proposal is the integrated approach including incorporation of multi-component chemical transformations and the validation on basis of one-to-one comparison of the of the computational results with experiments.

Keywords: three phase flow catalytic reactive multi scale modeling experimental validation coupled mass,momentum and heat transfer
Resilient northern overturning in a warming climate (ROVER)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Earth System Science
Panel description: Physical geography, geo logy, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: Norway
Call: ERC CONSOLIDATOR GRANTS (ERC-2022-COG, 2022)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 3000000.0
EU funding (EUR): 3000000.0
Participants: 1
Project status: SIGNED

A vigorous Atlantic Meridional Overturning Circulation (AMOC) is crucial for the mild northern European climate; it brings warm water northward near the surface and returns cold, dense water at depth. In a warming climate the AMOC is projected to weaken – or even approach a tipping point. Contrary to this established view, I hypothesize that an overlooked, climate-change induced mechanism may impart resilience to the overturning: As the sea ice recedes, increasing stretches of the boundary current system around the Nordic Seas and Arctic Ocean become exposed to the atmosphere. The resulting increased ocean heat loss in winter further densifies the water in the boundary current, which is a direct pathway supplying the lower limb of the AMOC. Enhanced dense-water formation is counter-intuitive in a warming climate and not represented by current climate models, but has the potential to safeguard the northern overturning and maintain a steady supply of dense water to the AMOC. Sparse observations and preliminary results from a 1D model indicate that water mass transformation occurs in the increasingly ice-free boundary current, but its extent, importance, and future development are unknown. In ROVER, I will explore this concept through an extensive field campaign, which includes a mooring array across the boundary current and an unprecedented wintertime survey of this severely under-sampled area. Combined with targeted high-resolution modeling, I will use the comprehensive data set to document the occurrence of this process, understand its dynamics, quantify its extent, and assess its climatic importance. Dense-water formation in the boundary current system that may safeguard the northern overturning would represent a paradigm shift for water mass transformation at high latitudes and the stability of the overturning circulation. As such, ROVER is timely and will have a substantial and significant impact on the science of climate change and climate impact assessment.

Keywords: water mass transformation boundary current system
Detection and Global Risk Assessment of Coastal Transitional Climate and Neo-climate Regions in a Warming World (TransClima)

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: Spain
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): 165312.96
EU funding (EUR): 165312.96
Participants: 1
Project status: SIGNED

The most recent report of the IPCC-AR6 indicates that coastal areas are at risk under the climate emergency that the planet faces, and now more than ever, adaptation is an urgent need. Although remarkable efforts have been made to quantify future changes in the primary climate-related drivers of coastal flooding and erosion risk (waves, sea level rise, and storm surges), these are not yet fully understood. Due to the displacement poleward of Tropical and Extratropical Cyclones in a changing climate, the ocean waves and total sea levels that they induce could hit regions they did not affect before. For the purposes of this proposal, these new regions that will be exposed to new weather conditions are called Transitional Climate Regions (TCR) and Neo-Climate Regions (NCR). Even though these transitional climate regions have been highlighted as critical for ecosystem conservation, they are far from being identified and not even close to becoming part of the coastal risk agenda. This project aims to detect TCR and NCR in the projected scenario SSP5-8.5, by proposing a probabilistic framework of waves and total sea level, under prevailing and extreme conditions (extratropical and tropical cyclones) in coastal areas. These regions are prioritized under socioeconomic and ecological criteria for establishing recommendations. The project, instead of proposing new datasets, proposes a cutting-edge spatiotemporal exploration of coastal hazards by using Machine Learning approaches and a new mindset for climate risk. Once climate and exposure regions are identified, the developing guidelines for coastal risk assessment in these areas will be established.

Keywords: tropical cyclones,extratroplical cylcones,coastal hazards,ocean waves,storm surge,total water level
Magneto Plasmonic Assisted Room Temperature Valleytronic Transistor (MP Valley Transistor)

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: Poland
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-08-01
End date: 2027-07-31
Duration (months): 24.0
Total project cost (EUR): 179006.16
EU funding (EUR): 179006.16
Participants: 1
Project status: SIGNED

Modern information processing faces significant challenges, including high power consumption, speed saturation, and scaling limitations. Valleytronic transistors, exploiting the valley degree of freedom, offer energy-efficient operations by minimizing heat generation and increasing data densities. However, robust room-temperature valleytronic transistors are challenging due to strong intervalley scattering. This research aims to develop a groundbreaking magneto-plasmonic assisted room-temperature valleytronic transistor. The objective is to enhance the performance of room-temperature valley transistors through an innovative approach. The proposed method involves the combination of chiral plasmonic nanostructures with a ferromagnetic Fe3GaTe2 monolayer. The chiral plasmonic nanostructures are designed to selectively generate valley-polarized hot carriers in WS2, with their effectiveness further amplified by the magnetic proximity effect induced by Fe3GaTe2. This device can generate, propagate, detect, and manipulate valley information at room temperature, advancing energy-efficient electronic devices. This project could potentially mark a new milestone in the field of valleytronics. Warsaw University, with its state-of-the-art facilities and the expertise of Prof. Maciej Molas, provides the necessary resources and environment for the successful execution of this ambitious project. This research could revolutionize information processing and advance energy-efficient electronics. This research aligns closely with the objectives of the Work Programme by addressing the need for advancing energy-efficient electronic devices. This project aims to enhance sustainable and efficient information processing technologies by exploring valleytronic transistors and incorporating magneto-plasmonic assistance. Additionally, it will host Marie Curie fellows to promote international collaboration and knowledge exchange.

Keywords: chirality,surface plasmon resonance,hot electron,valley polarization,2d material,magnetic proximity,transistor
Material and environmental legacies in the 21st century: a theory of legacy-making between generations (LEGACIES)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Soci al World and Its Interactions
Panel description: Sociology, social psychology, education  sciences , communication  studies
Countries involved: Finland,Ireland
Call: ERC ADVANCED GRANTS (ERC-2022-ADG, 2022)
Start date: 2023-09-01
End date: 2028-08-31
Duration (months): 60.0
Total project cost (EUR): 2498766.0
EU funding (EUR): 2498766.0
Participants: 2
Project status: SIGNED

Human legacies are more important and influential than ever before because the window of opportunity for generational interaction has been greatly extended due to longer life expectancies, and because legacies assume unprecedented importance in a world marked by inequality and environmental degradation. The LEGACIES project arises from my original proposition that legacies are not only posthumous and concern older people and their heirs, but they are dynamic intergenerational processes comprising material and immaterial dimensions. Material legacies (wealth, assets) that are transferred from one generation to the next are growing, greater in volume than ever, and highly influential in shaping life courses. In addition to material inheritance we also leave immaterial legacies (values manifest in actions), the most pressing of these being our environmental legacies. The LEGACIES project will break new ground in understanding the intertwined material and environmental legacies that pass between co-existing generations. My approach is inherently high-risk due to its novelty in straddling multiple generations and the societal and environmental spheres in diverse contexts. The potential scientific gains from this research connect to wide-reaching implications. Shedding light on what drives older generations’ legacy-making practices will allow a better understanding of the dynamics of inequality. Understanding the interconnectedness of environmental and material legacies will elucidate choices such as deciding against having children and their ramifications on inheritance practices. Illuminating how environmental legacies are shaped through generational interaction will better equip us to formulate effective agendas for combating environmental degradation. The LEGACIES project will yield concepts and theory essential for explicating how strategies and practices at the micro level reflect and shape the greatest challenges that humans and the natural environment face.

Keywords: legacy,generation,family,inequality,ageing,intergenerational solidarity,environmental degradation,climate change,inheritance,theory building,qualitative methods,environmental legacies,legacies and megatrends,material and immaterial legacies,legacy making,young adults,older adults,parents,grandparents,grandchildren,generational legacies
mUlti-Level Trustworthiness to IMprove the Adoption of hybrid arTificial intelligencE (ULTIMATE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: A human-centred and ethical development of digital and industrial technologies
Action type: Research and Innovation actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: France,Spain,Sweden,Poland,United Kingdom
Call: Verifiable robustness, energy efficiency and transparency for Trustworthy AI: Scientific excellence boosting industrial competitiveness (AI, Data and Robotics Partnership) (RIA) (HORIZON-CL4-2021-HUMAN-01, 2021)
Start date: 2022-10-01
End date: 2025-09-30
Duration (months): 36.0
Total project cost (EUR): 3529112.5
EU funding (EUR): 3529112.5
Participants: 10
Project status: SIGNED

AI has entered the business mainstream, opening opportunities to boost productivity and innovation but suffer limitations hindering wider adoption of model-based or data-driven AI algorithms in industrial settings. Both approaches complement each other and form a critical foundation for the adoption of AI in industry. However, hybrid AI does not fully address the issue of trust (validity, explainability, and ethics). ULTIMATE will pioneer the development of industrial-grade hybrid AI based on three stages to ensure trustworthiness, relying on interdisciplinary data sources and adhering to physical constraints (1st stage), as well as the development of tools for explaining, evaluating and validating hybrid AI algorithms and asserting their adherence to ethical and legal regulations (2nd stage). These will be exemplified using real-world industrial use cases (3rd stage) in the Robotics (collaboration between human and robots for logistics activities) and Space domains (Failure detection for satellites) to promote the widespread adoption of hybrid AI in industry. The breakthrough generic hybrid AI architectures with improved explainability and interpretability and the predictive model on trustworthiness developed in ULTIMATE will provide industrials with improved shopfloor efficiency (reduction of downtime by 30% and of operational costs) and empower their staff through trustful human/machine cooperation allowing highly skilled jobs and increasing decision power and safety. This will be beneficial to European industry to gain pre-emptive advantage in the market of industrial AI solutions and will eventually increase trustworthiness in the use of hybrid AI components by the wider public. Extending over 36 months, the ULTIMATE project brings together key industrial stakeholders, with relevant end-users from manufacturing sectors, leading academic and research institutions, and SMEs to collaboratively investigate and lead the development of hybrid AI approaches.

Keywords: hybrid ai,industrial demonstrators,trustworthiness,validity,explainability,ethical compliance,operational conditions,robotics,space,situational awareness,decision support
Electron Transport Experimental Investigation of Perovskites using Light and Electron Injection at the Nanoscale (EXPLEIN)

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: Netherlands,France
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): 187624.32
EU funding (EUR): 187624.32
Participants: 2
Project status: SIGNED

The main goal of EXPLEIN is to unravel the limiting factors in the charge carrier transport in perovskite thin films, stacks, and solar cells, aiming to pre-select suitable material compositions for and optimisation of light-converting devices. First, I will gain deep understanding of the role of grain boundaries – typically limiting charge carrier diffusion due to an increased number of recombination centres – in thin films and lamellae, which I will then apply to interfaces in stacks and devices, ultimately allowing me to monitor and improve the performance of perovskite-based solar cells. The centre piece of this work is a scanning electron microscope equipped with cathodoluminescence (CL) and pulsed electron beam capabilities. I will expand those with electrical sample biasing for operando conditions and develop a novel light in-coupling module. This unique, versatile method will facilitate local injection of electrons and photons into the same sample area, thereby allowing for the in-depth study of the differences in morphology (via in-situ secondary electron imaging), optical (via CL and CL lifetimes) and electrical properties upon selective sub-bandgap-energy illumination, applied electrical bias, and local e-beam placement. The diffusion length, a key parameter for solar cell absorbers, will be measured directly and via CL-lifetimes which I will subsequently link to the sample’s average grain size of various perovskite compositions. The perovskite database will serve as platform for comparison and exchange of knowledge, ultimately allowing to advance and expand the research field. The multitude of the proposed experiments will allow me to gain new and detailed insights into the micro- and nanoscopic charge carrier transport in several types of perovskites, giving me the opportunity to contribute to the advancement of solar cells necessary for the challenging transition to cost-effective and sustainable energy.

Keywords: perovskites nanoscale charge carrier transport electron microscopy
2D Topological Superconducting Single Photon Detector Devices (SuperPHOTON)

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: Türkiye
Call: ERC PROOF OF CONCEPT GRANTS2 (ERC-2022-POC2, 2022)
Start date: 2023-02-01
End date: 2024-07-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Superconducting single photon detectors are critical components for emerging quantum technologies due to their high detection efficiencies, short jitter, photon number resolution, high maximum and low dark count rates. These devices may enable new ground-breaking applications in topological quantum computing and quantum internet. Niobium-based nanowires (Nb, NbN) are some of the most used superconductors for photodetection, but their material characteristics, device jitter and efficiencies cannot be effectively tuned or reproduced for scalable quantum technology deployment. The structural and electronic properties of these nanowires are not suitable for scalable cryogenic or room temperature readout. The challenges in growing high-quality quantum materials consistently provide a significant bottleneck against the development of quantum technologies that might efficiently interface with conventional microelectronics. In my ERC Grant (948063), we are using our pulsed laser deposition (PLD) and molecular beam epitaxy (MBE) expertise for magnetic topological insulators (MTI) and garnets for spintronic and superconducting devices with high conversion efficiency between electronic spins and charges. Here, I propose to develop three prototypes and obtain their patents: (1) Three MTI superconductor-based single photon detector prototypes with beyond state-of-the-art high efficiencies and ultralow jitter owing to the unique properties of MTI such as ultrafast sub-ps magnetization reversal, ballistic transport of Dirac electrons along the interfaces and integrated spin logic. (2) We are going to provide a steady supply of high-quality superconductor and spintronic films (NbN, MTI, and magnetic garnets) to accelerate basic and applied research, which is a market growing with about 20% annual rate. (3) A custom low-cost cryostat for 2-3K detector tests will be prepared with fiber optical and RF cable feedthroughs, electromagnets, readout electronics and software.