Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Equivalent Representation of Modern Power Systems with Power Electronics for Stability Analysis (EQUATOR)

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
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): 175920.0
EU funding (EUR): 175920.0
Participants: 1
Project status: SIGNED

Modern power systems have been increasingly penetrated with power electronic converters. This can be explained with the massive integration of renewable energy generation, energy storage utilities, transport electrification, industrial electric drives as well as the wide application of high voltage direct current (HVDC) and flexible alternate current transmission systems (FACTS). Power electronic converters have totally different characteristics compared to conventional synchronous generators as they are fully controllable devices with low inertial and very limited overload capability. These characteristics also increase the complexity to stability analysis of power systems dominated by converters. An accurate grid equivalent representation stands for a powerful tool to improve the efficiency for stability analysis of such system. In such context, the EQUATOR project aims to develop an effective grid equivalent representation for stability analysis of power systems dominated by power electronics under both small-signal and large-signal disturbances. The obtained equivalent representations will provide powerful tools for TSOs, OEMs and research institutes involved in the planning, design, operation and analysis of modern power systems. Furthermore, the project results will favour the evolution towards the future European Super Grid which involves a high penetration ratio of renewable energy generation and covers a large geographical span. The researcher’s previous work focused on computational analysis and steady-state grid equivalent representation for power-electronics-dominated systems, which demonstrates his appropriate profile to successfully implement the presented project under the guidance of the supervisor, who is an expert in stability analysis of power electronics systems.

Keywords: grid equivalent,voltage source converter,small signal stability analysis,dynamic transient analysis,hvdc
biomimetic engineered chordae tendineae for valve repair and regeneration (BioChord)

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
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2023-POC, 2023)
Start date: 2023-10-01
End date: 2026-03-31
Duration (months): 30.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

The human heart is among those organs suffering from a limited capacity to self-regenerate. Heart diseases continue to be a leading cause of mortality with suboptimal therapeutic options. Thus, deploying new therapeutic strategies for tissue repair is a primary objective in modern cardiac medicine. Valvular heart diseases, such as those related to the Mitral Valve (MV), are the leading causes of cardiovascular morbidity and mortality worldwide, affecting 5.1% of the 65+ years old population. In particular, MV regurgitation, one of the most common valvopathies, affects over 24 million people worldwide. Since the fundamental nature of MV regurgitation is mechanical, caused by physical, irreversible damage to the restraining force structures of the valvular apparatus, the only effective treatment is limited to the surgical approaches that include MV repair or replacement. However, when the regurgitation is due to Chordae Tendinae (CT) elongation or rupture, several studies have demonstrated the substantial advantages of MV repair, using a substitute for the damaged CT vs. MV replacement. Currently, the expanded polytetrafluoroethylene (ePTFE) has become the standard approach in CT repair/replacement1. However, several complications (rupture, calcification, detachment, fibrosis, and slippage) have been observed. Hence, there continues to be an urgent need to develop better MV repair techniques that are simple, effective, and durable. In this proposal, we intend to further advance and validate BioChord, the first ever polymeric bioengineered regenerative CT, designed to first repair the MV by replacing the diseased CT, providing mechanical support to the valvular apparatus, then to be restored by the patient tissue, progressively becoming a functional tendon-like structure that, as a native CT, while connecting the valve leaflet to the papillary muscle, will sustain the valvular apparatus with blood and nutrients.
System in Package miniaturizations for Space electrically steerable antennas (Space SiP)

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

Circuits Integrated (CIH) is an innovative player in the Satellite Communications (SatCom) industry, achieving a fivefold revenue increase in 2022 to €2M and focusing on intensive IP development in 2023. CIH aims to be a leading supplier of chips for Flat Panel Phased Array Antennas (FPPAA) and Very Small Aperture Terminals (VSAT), targeting the LEO/MEO market with its advanced Monolithic Microwave Integrated Circuits (MMICs) - Series 2D and 3-Dimensional Integrated Circuit (3DIC) system-in-package, Series 3D products. The space economy is expected to expand from $416 million in 2020 to over $1 trillion by 2040, with LEO broadband satellites alone projected to reach 65,789 by the end of this decade. The combined LEO/MEO market could surpass 120,000 satellites, growing at a CAGR of 40%. CIH addresses the industry's demand for smaller, lighter, and cost-effective satellites and antennas. Current challenges include: - Silicon's limitations for high power, high frequency applications typical in satellite systems. - Industry resistance to shifting from Silicon to compounds like GaAs/GaN, requiring new designs and methods. - Discrete component design leading to inefficiencies and a lack of collaboration among manufacturers. CIH, as a technical consultant in the SatCom industry, has developed a solution in partnership with industry leaders and through participation in various programs that focuses on miniaturization and cost reduction, leveraging proprietary technology. The Series 2D chips aim for a 30% reduction in antenna size and cost, while the Series 3D system-in-package targets a 70% reduction. CIH has progressed significantly, with a prototype chip at TRL6 and key accounts like Gilat Satellite networks and Hanwha Phasor showing support. The company anticipates first orders by 2025 and aims for €138M revenue by 2030. To realize this potential, CIH seeks €2.5M for final development and €7M for further development and commercialization.

Keywords: mmic rfic 3dic aip sip beamforming space radhard hpa miniaturization flatpanels esa satellites 5g satcom leo meo geo sotm aesa
Non-Stationary Non-Homogeneous Turbulence (NoStaHo)

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: France
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2022-10-01
End date: 2027-09-30
Duration (months): 60.0
Total project cost (EUR): 2499514.0
EU funding (EUR): 2499514.0
Participants: 2
Project status: SIGNED

A wide range of radical technological breakthroughs are needed across all industries and engineering because of the dramatic current climatic, environmental and population growth constraints on energy, energy efficiency, polution and emissions. Turbulent flows are a key limiting factor in a vast range of these industries including the aeronautical, automotive, chemical, pharmaceutical and environmental engineering industries to name but a few. Step-change technological innovations in these industries therefore require rapid and reliable turbulent flow prediction methods which are currently unavailable. The stalemate in turbulence prediction methods reflects an 80-year stalemate in our fundamental understanding of turbulent flows. The past 5 years, however, have seen a number of advances which overturn cornerstone turbulence textbook material and create an unprecedented opportunity for a potentially decisive breakthrough in our fundamental and general understanding of turbulent flows which are typically non-stationary and/or non-homogeneous. These recent advances concern non-stationarity and non-homogeneity in fundamental ways and open new research opportunities with many new questions and hypotheses. This project will seize these new research opportunities with a combination of laboratory, computational and theoretical methods and approaches applied to a variety of turbulent flows. The expected outcome is a transformative, entirely new and extensive, fundamental understanding and theory of non-stationary and/or non-homogeneous turbulence, and a consequent road map for future disruptive turbulent flow prediction methods.

Keywords: turbulent flows,turbulence
Christians among Muslims: Monasticism in early Islamic al-Andalus (8th-11th Centuries) (MONZARAB)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Study of the Human Past
Panel description: Archaeology and history
Countries involved: Spain
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2026-01-01
End date: 2030-12-31
Duration (months): 60.0
Total project cost (EUR): 2498632.0
EU funding (EUR): 2498632.0
Participants: 1
Project status: SIGNED

In recent decades, the archaeological and written records have been mobilised to update our knowledge of early Islamic al-Andalus and the subsequent transformation that the arrival of Islam brought about in the Iberian Peninsula from 711 onwards. This historiographical renewal has hardly affected however the study of Christian monasticism in al-Andalus after this defining moment during the early Islamic period (8th-11th c.). This project aims at providing a step-change in the way in which this phenomenon has been investigated until now by developing an innovative and unprecedented interdisciplinary approach to it through the integration of state-of the-art historical, archaeological and geological methodologies. The project will follow three levels of analysis (monastic architectures, ensembles and landscapes) applied to diverse selected territories and sites in what is currently Spain (Toledo, Cordoba, Merida, Granada) and Portugal (Mertola). The purposes are therefore to develop a technological and production understanding of monastic architectures as manufactured products in its social and economic contexts, to provide fresh insights into the spatial organisation and long sequences of monasteries, and to evidence their economic, social and politic roles and strategies in relation to others settlements shaping and reshaping the landscapes. It is intended hence to develop a suitable and updated methodology for the analysis of large multi-period monastic sites and landscapes, by offering a synchronic and diachronic perspective. The overall aim is to generate a broader vision that allows us to move from isolated churches and monastic ensembles to monasticism in al-Andalus, to feature its role in the relations between the Christian population and the Muslim authorities during the period considered and to understand it in the wider context of the dār al-islām.

Keywords: early middle ages,mozarabs,church,monastery,landscape,technology,spain,portugal,dar al islam
Repository-wide screening for bioactivity and protein binding using small molecule mass spectrometry data (BindingShadows)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Integrative B iology : from Genes and Genomes to S ystems
Panel description: For all organis ms: Genetics, epigenetics, genomics  and other ‘omics studies , bioinformatics, systems biology , genetic diseases , gene editing, innovative methods and modelling,  ‘omics for personalised  medicine
Countries involved: Germany
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2026-02-01
End date: 2031-01-31
Duration (months): 60.0
Total project cost (EUR): 3010356.0
EU funding (EUR): 3010356.0
Participants: 1
Project status: SIGNED

Bioactivity and ligand binding remain central topics for understanding protein function, for drug discovery and toxicology. Mass spectrometry (MS) allows to detect thousands of small molecules in a biological sample with a single experimental run. Compound annotation is carried out using tandem MS. I will develop machine learning models that predict whether a query small molecule has a certain bioactivity or is binding to a certain protein, where the only information we have about the query molecule is its tandem mass spectra. The identity and molecular structure of the query small molecule is unknown; it is unknown to the models, to me, and potentially even to mankind. Clearly, bioactivity and binding are two flavors of the same problem, and the differentiation is solely driven by the available training data. Notably, elucidating the structure of the small molecule is not the focus of the project, and may be postponed until after experimental confirmation. Models will not predict one particular bioactivity or protein binding, but rather tens in parallel. Evolution has, through variation and selection, optimized the structure of small molecules for tasks such as communication and warfare, and the pool of natural products is enriched with bioactive compounds. My project will allow to harvest the information. I will apply my models at a repository scale, screening millions of tandem MS spectra in thousands of datasets for small molecules that are most likely to have bioactivity or to bind. I will also make my methods available through our well-established SIRIUS platform, allowing users to derive information about bioactivity without the need of additional experiments. I will enable the worldwide community to hunt for drug leads or unknown toxic compounds, without the need of additional experiments or computational analyses. Finally, being able to find small molecules that bind to a protein can provide helpful information to understand protein function.

Keywords: machine learning models,mass spectrometry,metabolomics,small molecules,natural products,discovery,bioactivity,protein ligand binding
Packaging with AI for Circular Economy - strengthening Digimind's market position (PACE)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Elevating the scalability potential of European business
Destination: Elevating the scalability potential of European business
Action type: Coordination and support actions
Countries involved: Germany
Call: Women TechEU (HORIZON-EIE-2021-SCALEUP-01, 2021)
Start date: 2022-06-01
End date: 2023-01-31
Duration (months): 8.0
Total project cost (EUR): 107142.86
EU funding (EUR): 75000.0
Participants: 1
Project status: CLOSED

Packaging is the biggest contributors to the global waste problem because it is not designed for circularity. Given the changes in the legislations and the increasing customer awareness the packaging industry is under pressure to solve this problem at the design phase of their products. One of the main difficulties is to manage the trade-off of cost, performance and sustainability criteria, which leads to package performance uncertainties. In this context, Digimind was created with the mission of accelerating the transition to circularity by dePackaging waste is one of the biggest contributors to the global waste problem, especially plastic packaging accounts for almost half the global plastic waste. Packaging design is driven mainly by marketing requirements, not incorporating any circularity, such as recyclability or reusability. With nowadays pressure due to limited material resources as well as the need to reduce CO2 emissions, circularity in packaging design becomes the new key driver. For the packaging industry this poses immense challenges to manage the new complexity of the trade-off of cost, performance and sustainability criteria. Digimind is developing an innovative software solution specifically for the packaging industry to tackle these challenges using digitalization and artificial intelligence. PACE objective is to strengthen Digimind’s position to successfully raise funding for the next phase of growth. The workplan to achieve this goal is twofold: Setting up a technical use case with a glass packaging proving Digimind’s technology on a second material as well as improving our business plan and pitch deck. This consolidation of Digimind’s position in the market will allow me to raise money to lead the company to its next steps in delivering its unique value proposition. This will create a strong example of a female co-founded deep tech company successfully build within Europe with a strong vision of solving our waste problem using digitalization.

Keywords: packaging design,packaging waste,circular economy,sustainability,women in deep tech
Ramification of braid groups and their related structures (Rabgres)

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: Mathematics
Countries involved: France
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-10-01
End date: 2024-09-30
Duration (months): 24.0
Total project cost (EUR): 195914.88
EU funding (EUR): 195914.88
Participants: 2
Project status: CLOSED

The proposed project brings together Neha Nanda, a young researcher who finished her Ph.D this summer, and who already has a number of publications and pre-prints, and an experienced researcher, John Guaschi, who is full professor at Université de Caen Normandie. They propose to study certain ramifications of braid groups and related structures, namely the (virtual) twin groups, and the relations of these groups with (virtual) doodles that play the rôle of planar analogues of knots in R^3. The main aims of the project are: 1) understand better the (pure) twin groups by studying some of their invariants, such as their virtual cohomological dimension, and look for good presentations for them using Fadell-Neuwirth-like short exact sequences. 2) following the construction of surface braid groups from Artin braid groups, generalise the (pure) twin groups to surface (pure) twin groups, obtain presentations of these groups, and seek doodle-like structures to which they correspond. 3) construct new (virtual) doodle invariants, some being analogous to those known for knots and links, the aim being to classify (virtual) doodles. Being at the intersection of several domains, the general setting of the project is active and competitive. As well as being ambitious, the project is innovative, not just for the choice of problems to be studied, but also because its members have complementary interests and skills in algebra, low-dimensional topology, and combinatorial group theory. The project members will also be able to count on the expertise of other mathematicians in Caen working in related areas, as well as the dynamic network of the research group in Caen, including meetings organised by members of the GDR "Tresses", the regional ARTIQ project in collaboration with computer scientists in Rouen, and schools such as "Winterbraids".

Keywords: braid groups twin groups doodles virtual knots and doodles surface braid groups knot and doodle invariants combinatorial group theory
Bridging Model Order reDuction with mAchine Learning in Vibro-Acoustics (BiMODAL VA)

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 States
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-03-01
End date: 2029-02-28
Duration (months): 36.0
Total project cost (EUR): 424129.44
EU funding (EUR): 424129.44
Participants: 3
Project status: TERMINATED

Within the design and operational phase of mechanical structures it is difficult to reconcile high acoustic performance and a low ecological footprint. To mitigate noise impact, noise reduction strategies often lead to increased product mass and volume, exacerbating material consumption, thereby contradicting with the sustainability objectives of the EU. The concept of Digital Twins (DTs) can offer a great solution to this dilemma, optimizing simultaneously for both these opposing goals. Being a digital counterpart of a noise-emitting asset, DTs can predict its behavior under different scenarios and, by exploiting real-time data, they can make well-advised decisions for its design and maintenance. While existing DTs are either static when relying on physics-based models or lack physical interpretability with data-driven models, BiMODAL VA seeks to revolutionize this field, by bridging the best of both worlds. Namely, by smartly combining physics-based Reduced Order Models (ROMs) with machine learning based models, the primary objective of BiMODAL VA is to propose novel hybrid vibro-acoustic DTs, that will be simultaneously faster, more accurate, dynamically evolving and interpretable. Towards this objective the project is split into three science subobjectives that include i) the development of a data-driven correction methodology for vibro-acoustic ROMs based on the concept of closure modeling, ii) creating hybrid models for iterative designs, where physical prototypes data are not available for all iterations, and iii) developing dynamic ROMs to accommodate a potential change in physics (e.g. system degradation). The Experienced Researcher within BiMODAL VA will achieve these objectives by exploiting not only the strong transatlantic network on DT technologies, consisting of two top academic institutions (KUL, UCSD) but also the remarkable training package that will equip him with excellent technical and transferable skills relevant both to industry and academia.

Keywords: computational acoustics,model order reduction,machine learning,inverse identification