Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
The Perturbative Scattering Amplitude Bootstrap (AmpBoot)

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: United Kingdom
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2025-10-01
End date: 2030-09-30
Duration (months): 60.0
Total project cost (EUR): 1499484.0
EU funding (EUR): 1499484.0
Participants: 1
Project status: SIGNED

The Standard Model of particle physics represents one of the major achievements of modern science, and with the discovery of the Higgs boson at the Large Hadron Collider its predictions have been tested to unprecedented levels of precision. These measurements will continue to improve as more data is collected in the coming years, allowing us to probe the fundamental laws of physics to an unparalleled degree. However, to benefit from these measurements, the precision with which we can make theoretical predictions in quantum field theory must also be drastically improved. This in particular requires improving our understanding of scattering amplitudes, which provide essential input for these calculations. While scattering amplitudes are notoriously difficult to compute, they have been found to exhibit an immensely rich mathematical structure, with deep ties to number theory, algebraic geometry, and string theory. These connections have recently fueled a revolution in our ability to compute highly nontrivial amplitudes in supersymmetric theories to unprecedented levels of precision. Building on this progress, I propose three lines of investigation for developing the same level of insight into the mathematical structure of Standard Model amplitudes, and for bypassing the difficult integration problems that have traditionally been required for their evaluation: 1) the derivation of new constraints on the analytic structure of amplitudes from basic physical requirements such as causality and locality 2) an in-depth study of the types of special functions that appear in amplitudes and the development of new tools for working with them 3) the development of perturbative bootstrap methods for Standard Model amplitudes These lines of research will give rise to deep new insights into the universal properties of perturbative quantum field theory, and facilitate the development of groundbreaking new methods for making precision predictions for collider experiments.
ERA Chair Holder to establish the electron cryo-microscopy analysis of cellular and artificial nanomachines (hot4cryo)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Attracting and mobilising the best talents
Destination: Attracting and mobilising the best talents
Action type: Coordination and support actions
Countries involved: Greece
Call: ERA Chairs (HORIZON-WIDERA-2022-TALENTS-01, 2022)
Start date: 2023-03-01
End date: 2028-02-29
Duration (months): 60.0
Total project cost (EUR): 2499921.25
EU funding (EUR): 2499921.0
Participants: 1
Project status: SIGNED

Hot4cryo aims to attract and maintain a prominent researcher (ERA Chair) together with a high-quality supporting team to advance multidisciplinary research in the National Hellenic Research Foundation (NHRF) by founding the high-resolution electron cryo-microscopy Unit for Excellence, i.e., CryoUNITe, unique in Greece, the Balkans, and Southeast Europe. While cryo-EM technology is transforming international research in exciting, multiple directions, substantial disparity exists in its possession across European countries and is absent in the complete Southeast Europe. This hampers innovations in biomolecular and materials structure research and development and limits progress of EU Missions Cancer, Soil, and Green Deal, which align to the research directions of NHRF and the prospective ERA Chair Holder. Hot4cryo plans to address this issue, aims to eliminate this disparity, and envisions to urgently transmit the “resolution revolution” to Greece and the wider region, emerging as a cultural hub for seeding Horizon Europe’s strategic plan across players and the society. CryoUNITe will be embedded in NHRF, enhancing institutional structural transformations. Hot4cryo will bring high-end cryo-EM knowledge for a wide range of systems in alignment with ERA priorities. The modern technology and innovation potential involved will undoubtedly progress digital transformation within NHRF, improve research cohesion across all involved partners, and foster fundamental and applied research opportunities of outstanding quality. As a result of this action, hot4cryo will produce a Unit of Excellence, improve direct access to excellence for partners and collaborators and strengthen the interactions between science and society. Ultimately, hot4cryo will contribute to reverting the current brain drain to “brain gain” while promoting brain circulation within the EU, positively affecting local and regional economies.

Keywords: cryo electron microscopy,structural biology,materials science,green energy,cancer
Evolution of embryonic development across the Preocial-Altricial spectrum in birds (BIRDEMBRYOS)

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: France
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-05-01
End date: 2026-04-30
Duration (months): 24.0
Total project cost (EUR): 211754.88
EU funding (EUR): 211754.88
Participants: 1
Project status: SIGNED

The project proposes to make use of modern molecular, microscopic and computational tools to analyze the embryonic development of several species of birds and compare how major differences in embryonic mode and tempo develop and what consequences they have in the morphological diversification of avian clades. I will collect embryonic series of species of several bird families that also represent independent evolutionary transitions in developmental mode and generate a large dataset of embryonic anatomical data to dissect how avian evolutionary patterns relate to developmental mode and tempo, combining tools of comparative anatomy, developmental biology, geometric morphometrics and phylogenetic inference, integrating the study of embryonic development with macroevolutionary analyses. Many recent macroevolutionary studies have highlighted the need for the use of embryonic information, yet these kind of datasets are mostly inexistent. Classical developmental biology has made use of selected species as models, representing sometimes groups of thousands of species, as has been the case of Gallus gallus for birds. Only a few other avian species have been systematically studied and these represent an uneven coverage of the diversity of avian anatomies, ecologies and life histories. The project seeks to collect detailed embryonic information of several previously unstudied avian species, and study them in the context of a series of major evolutionary transformations, in order to bridge the existing gap between developmental biology with macroevolutionary studies. The project will serve as a proof of concept for expanding this kind of new-of-its-kind framework, and will provide large amounts of information that have been classicaly associated with distinct field of biological sciences, merging them into one interdisciplinary approach for studying the relationship between development and evolution.

Keywords: avian embryology,comparative anatomy,macroevolution,life history,developmental timing
Methods and Tools Supporting Digital Product Service System Passport (PSS-Pass)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Climate neutral, Circular and Digitised Production
Action type: Research and Innovation actions
Partnership: Made in Europe (co-programmed)
Countries involved: Germany,Italy,Spain,Portugal,United Kingdom,Belgium,Ireland
Call: Technologies/solutions to support circularity for manufacturing (Made in Europe Partnership) (RIA) (HORIZON-CL4-2024-TWIN-TRANSITION-01, 2024)
Start date: 2024-10-01
End date: 2027-09-30
Duration (months): 36.0
Total project cost (EUR): 5299457.5
EU funding (EUR): 5299457.5
Participants: 12
Project status: SIGNED

Modern industrial companies aim to extend their products with services as fundamental value-added activities. The key potential of the concept of Product Service System (PSS), besides radical improvements in the use of products, is a reduction of environmental footprint of products and services. The overall footprint of PSS is still insufficiently investigated. The services within PSS are an important, insufficiently used source of (digitalized) data on the product and its use. It is likely that digital means facilitating provision of consistent “track and trace” information on the origin, composition and entire life cycle not only of a product but of all services offered and used around the product, will offer important contribution towards achievement of full circularity for manufacturing. The key idea of PSS-Pass is to investigate how extension of DPP to Digital Product Service System Passport (DPSSP) can be effectively achieved and how it will allow for improved circularity of the manufacturing industry. The overarching hypothesis is that LCA underpinned by Machine Learning (ML) methods and informed by dynamic data paves the way to more accurate LCA while supporting PSS life cycle decision making. The collected and sharable data from DPSSP will allow to effectively apply ML as well as Digital Twin (DT) for more reliable decision-making processes concerning circularity of PSS. The project will provide Methodological Framework for definition, development and update of DPSSP, Digital Environment for DPSSP built on existing interoperability architectures, set of ontologies for improved interoperability at DPSSP Environment, novel DT-based Simulation Framework, for modelling standardized and interoperable DTs for PSS lifecycle analysis, and AI based method/tool to forecasts the environmental impact of PSS. The PSS-Pass solutions will be tested and evaluated within 3 pilots in diverse sectors: home appliances, complex equipment, and textile industry.

Keywords: digital product passport,product service systems,ontologies for pss,lca,artificial intelligence,asset administration shell,machine learning,servitization,lcc,pss simulation
Computational Hardness Of RepresentAtion Learning (CHORAL)

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: France
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-10-01
End date: 2027-09-30
Duration (months): 60.0
Total project cost (EUR): 1280750.0
EU funding (EUR): 1280750.0
Participants: 1
Project status: SIGNED

Rich internal representations of complex data are crucial to the predictive power of neural networks. Unfortunately, current statistical analyses are restricted to over-simplified networks, whose representations (i.e., weight matrices) are either random, and/or project the data in comparatively very large or very low dimensional spaces; in many applications the situation is very different. The modelisation of realistic data is another issue. There is an urgent need to reconcile theory and practice. Based on a synergy of the mathematical physics of spin glasses, matrix-models from physics, and information and random matrix theory, CHORAL’s statistical framework will delimit computational gaps in the learning, from structured data, of much more realistic models of neural networks. These gaps will quantify the discrepancy between: (i) the statistical cost of learning good representations, i.e., the minimal amount of training data required to reach a satisfactory predictive performance; (ii) the cost of efficiency, i.e., the amount of data needed when learning using tractable algorithms, such as approximate message-passing and noisy gradient descents. Comparing these costs will quantify when learning is computationally hard or not. To achieve this, CHORAL will first focus on dictionary learning, another essential task of representation learning, and then move on to multi-layer neural networks, which can be thought of as concatenated dictionary learning problems. CHORAL’s ambitious program, by defining benchmarks for algorithms used in virtually all fields of science and technology will have a direct practical impact. Equally important will be its conceptual impact: the study of information processing systems has become a major source of inspiration for mathematics.

Keywords: high dimensional inference theory of neural networks spin glasses disordered systems random matrix theory matrix models information theory approximate message passing algorithm noisy gradient descents signal processing computational gaps
operAtional seNsing lifE technologies for maRIne ecosystemS (ANERIS)

Framework: Horizon Europe — Excellent Science
Programme: Research infrastructures
Theme: Research infrastructures
Destination: Technology and infrastructures
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Norway,Belgium,Israel,France,Ireland,Portugal,Greece,Finland,Germany,Netherlands,Bulgaria
Call: R&D for the next generation of scientific instrumentation, tools and methods (HORIZON-INFRA-2022-TECH-01, 2022)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 9999664.96
EU funding (EUR): 9999664.96
Participants: 25
Project status: SIGNED

In ANERIS, we propose to develop the next generation of scientific instrumentation tools and methods for sensing marine-life. The design of the new instruments and methods will integrate different types of marine life-sensing technologies: genomics, imaging-biooptics and participatory sciences. The technologies will be implemented in a co-design framework, involving all the interested stakeholders: academia, industry, civil society and government. The project proposes the concept of Operational Marine Biology (OMB), understood as a biodiversity information system for systematic and long-term routine measurements of the ocean and coastal life, and their rapid interpretation and dissemination. The production of FAIR Operational Marine Biology data will be carried out in a distributed IT infrastructure built from edge and cloud compute nodes, to be connected with the European Open Science Cloud (EOSC). The technologies will be tested and validated in different case studies, involving the ANERIS innovations, commercial instruments to be improved and different world-class research infrastructures (RI). The project will develop a training program for the operation and use of these new solutions for all the involved stakeholders and particularly the research infrastructures staff. Overall, the project proposes to benefit all the actors involved in the quintuple helix framework of innovation, promoting innovation and knowledge sharing among them: (1) the academy with new life-sensing technologies to use in research; (2) the industry with new technologies and methods to exploit; (3) the governments, with improved observational systems and data products to be used in environmental management directives; (4) the civil society, empowered through the proposed participative technologies and large collaborative networks and (5) the Research Infrastructures, integrating new generation of sensing instruments and methods, and their staff being trained on those new technologies.

Keywords: operational marine biology sensors,marine technology,research infrastructures,eric,imaging,genomics,citizen science,eosc,cyberinfrastructure,edge computing,cloud services,quintuple helix
Stability and transition in extracorporeal blood flow devices: understanding flow-induced hemolysis and thrombogenesis (STETHOS)

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: Italy
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 188590.08
EU funding (EUR): 188590.08
Participants: 1
Project status: SIGNED

The blood flow in extracorporeal medical devices is exposed to non-physiological conditions, which may lead to red blood cell damage and clot formation. Several therapies are applied to patients to prevent these phenomena, but they all come with side effects. Understanding the causes of flow-induced hemolysis and thrombogenesis would reduce the need for medical therapies, thus enhancing the well-being of the patients. An extracorporeal membrane oxygenation (ECMO) circuit is made up of several components: a blood pump, a membrane oxygenator, cannulae, tubes and connectors. The blood flow through these components is either turbulent or transitional, thus the blood is subject to hydrodynamic stresses that may lead to hemolysis or platelet activation. The link of these two undesired phenomena with the flow regimes and the transition mechanism has not been investigated in previous studies, and it is the aim of the current project. We will perform high-fidelity, three-dimensional numerical simulations of the flow in the connectors and the curved flexible tubes of an ECMO circuit. A non-Newtonian rheological model will be assumed for the blood viscosity. Transition to turbulence will be studied employing both modal and non-modal three-dimensional global stability analysis. For this purpose, a time-stepping technique will be implemented in the numerical code developed by the host's group, combined with a method for solving large-scale eigenvalue problems. Finally, an adjoint sensitivity analysis of the hemolysis index and the platelet activation state to boundary conditions and modifications in the flow will be performed. These results will provide insightful information for the design of medical devices with increased hemodynamic performance.

Keywords: hemodynamics,transition to turbulence,stability analysis,ecmo
Customizable AI-based in-line process monitoring platform for achieving zero-defect manufacturing in the PV industry (Platform-ZERO)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Climate neutral, Circular and Digitised Production
Action type: Innovation actions
Partnership: Made in Europe (co-programmed)
Countries involved: Spain,Austria,Germany,Italy,Poland,France
Call: Zero-defect manufacturing towards zero-waste (Made in Europe Partnership) (IA) (HORIZON-CL4-2021-TWIN-TRANSITION-01, 2021)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 10190043.75
EU funding (EUR): 9131043.0
Participants: 12
Project status: SIGNED

Third generation photovoltaic (PV) technologies offer high performance and customizability for ubiquitous integration (BIPV, VIPV, agrivoltaics, IoT...), and are well suited to Industry 4.0 manufacturing. However, their high-complexity and finely-tuned production processes make them prone to the appearance of critical defects with just small deviations from standard process conditions leading to significant production waste. In this context, Platform-ZERO provides a new paradigm for the third generation PV industry through the development of a self-learning, modular and customizable in-line process monitoring platform that provides in-situ holistic production assessment and control employing non-destructive inspection methods and industry 4.0 Artificial intelligence (AI)-based tools to allow an early detection, correction and/or prevention of pre-critical production faults. In order to achieve this ambitious objective, the Platform-Zero consortium joins together partners with a strong background in advanced characterization of complex materials and process monitoring methodologies; and partners who are leaders at the European level in the development/production of third generation PV devices and related products providing a balanced contribution of academy and industry with a high degree of multidisciplinarity. Platform-ZERO will demonstrate its innovative holistic process monitoring technology through the development, installation and validation at TRL7 of 4 functional demonstrators in different PV and PV-related manufacturing lines: roll-to-roll (CIGS solar foil), sheet-to-sheet (high efficiency CIGS and perovskite) and line flow (smart coatings) PV and PV-related manufacturing lines. The Platform-ZERO technology will contribute in increasing the overall quality and reduce the cost of high-tech PV devices increasing the competitiveness of EU's PV industry and allowing PV to become a key energy source for Europe's transition towards climate-neutral energy generation.

Keywords: photovoltaics,process monitoring and control,ai algorithms,industry 4 0