Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Beyond two-point correlations: from higher-order data statistics to neural representations (beyond2)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Italy
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2025-01-01
End date: 2029-12-31
Duration (months): 60.0
Total project cost (EUR): 1499999.0
EU funding (EUR): 1499999.0
Participants: 1
Project status: SIGNED

Deep neural networks (DNNs) have revolutionised how we learn from data. Rather than requiring careful engineering and domain knowledge to extract features from raw data, DNNs learn the relevant features for a task automatically from data. In particular, high-order correlations (HOCs) of the data are crucial for both the performance of DNNs and the type of features they learn. However, existing theoretical frameworks cannot capture the impact of HOCs – they either study “lazy” regimes where DNNs do not learn data-specific features, or they rely on the unrealistic assumption of Gaussian inputs devoid of non-trivial HOCs. beyond2 will develop a theory for how and what neural networks learn from the high-order correlations of their data. We break the problem into two parts: (i) *How?* We analyse the learning dynamics of neural networks trained by stochastic gradient descent to unveil the mechanism by which they learn from HOCs efficiently (in terms of the minimum amount of training data / learning time required to attain satisfactory predictive performance). (ii) *What?* Our preliminary research suggests that neural filters are primarily determined by the “principal components” of HOCs. We investigate how these principal components relate to fundamental data properties, such as symmetries of the inputs. We attack these problems by extending methods from statistical physics and high-dimensional statistics to handle non-Gaussian input distributions. Studying the interplay between data structure and learning dynamics will allow understanding how specific learning mechanisms, like attention or recursion, are able to unwrap HOCs. By shifting the focus from unstructured to non-Gaussian data models, beyond2 will yield new insights into the inner workings of neural networks. These insights will bring theory closer to practice and might facilitate the safe deployment of neural networks in high-stakes applications.

Keywords: theory of neural networks statistical physics high dimensional statistics
Innovative Processes & Methodologies for Next Generation Sustainable Functional Electronic Components and Systems (SusFE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: Digital & Emerging Technologies for Competitiveness and Fit for the Green Deal
Action type: Research and Innovation actions
Countries involved: Spain,Germany,Finland,France,Sweden,Luxembourg,United Kingdom,Serbia
Call: Functional electronics for green and circular economy (RIA) (HORIZON-CL4-2021-DIGITAL-EMERGING-01, 2021)
Start date: 2022-10-01
End date: 2026-03-31
Duration (months): 42.0
Total project cost (EUR): 2811561.0
EU funding (EUR): 2811561.0
Participants: 11
Project status: SIGNED

Europe currently has a leading position in key digital technologies. However, functional electronics is one of several emerging digital transformation areas with no established players, but with the potential to significantly disrupt strategic sectors. Harnessing the full potential of functional electronics will enable Europe to exploit cutting-edge climate-neutral digital solutions to strengthen its leadership, and to seize on emerging opportunities by addressing existing technological gaps in multiple sectors. Functional Electronics has found application in a wide range of sectors and domains including in hybrid Integrated circuits (ICs) or flexible systems. Its global market was worth €15.4billion in 2017 and is expected to reach €37.7billion by 2023, a CAGR of 11%. Despite this growth, functional electronics can generate additional value via the adoption and implementation of new and efficient eco-design approaches at product, process, and business model levels. SusFE will advance the development of functional electronics for green and circular economy by developing a sustainable design and production platform for roll-to-roll manufacturing of the next generation of wearable and diagnostic devices that combine a SusFE toolbox of sustainable components comprising novel flexible integrated circuit (FlexIC) on polymer substrate with ultra-low power printed sensors/biosensors, and wireless communication driven by an organic and recyclable bioenzymatic fuel cell. This will lead to highly integrated and autonomously operating systems that are lightweight, environmentally sustainable, and low-cost. SusFE uses of a combination of sustainable materials and processes to deliver climate-neutral digital solutions including wound monitoring, self-blood sampling/testing and point-of-care devices.

Keywords: flexible,organic and printed electronics,unconventional nanoelectronics,electronic smart systems,hybrid integrated circuits ics
Magnetic quantum hopfions as topologically protected states for quantum computing (QUANTHOPF)

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: Luxembourg,Germany,Iceland
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-04-01
End date: 2027-03-31
Duration (months): 24.0
Total project cost (EUR): 200400.0
EU funding (EUR): 200400.0
Participants: 3
Project status: SIGNED

The project QUANTHOPF is dedicated to studying the quantum properties of magnetic hopfions -- 3D knot-like topologically protected states, focusing on their possible application in quantum computations. The utilization of topologically protected qubits is particularly appealing in quantum computing because it promises the possibility of error-resistant quantum information storage and processing. On the other hand, nano-sized magnetic solitons, such as 2D skyrmions and 3D hopfions, represent attractive particle-like states with recently discovered quantum properties. In this project, I plan to employ advanced methods of classical and quantum spin systems, such as micromagnetic modeling, the density matrix renormalization group method, and semi-classical approaches, to study the quantum properties of 3D hopfions. Additionally, my goal is to study the dynamics of excitations of these states for constructing gate operations needed for qubit manipulation and performing quantum computation. Furthermore, the design of neutron scattering experiments that can be used to observe hopfions' quantum effects is planned within this project.

Keywords: skyrmion,hopfion,topology,quantum computing,heisenberg model,dzyaloshinskii moryia interaction,magnetic frustrations,spin textures
Musical Imitation in Medieval Europe (1110-1300) (MIME)

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: Social Sciences and Humanities
Countries involved: Germany,Canada
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 177257.36
EU funding (EUR): 177257.36
Participants: 2
Project status: SIGNED

The project will study the cultural interrelations between sacred music and lay vernacular lyric by uncovering and analysing the melodic imitations that occur between the two repertoires. The research will focus on lyric, music, and manuscript sources produced in France and Occitania from the beginning of the 11th to the end of the 13th century, with the aim of understanding to what extent troubadour and trouvère poetry (which was always accompanied by music) depended on the Latin ecclesiastical cultural humus, its forms and its techniques. Imitation and memory were constitutive aspects of artistic creation in the Middle Ages, which was more often driven by an attraction for an established tradition rather than the perceived need for innovation. The project will exploit digital technologies available and develop new computational perspectives to analyse large corpora of liturgical and vernacular music in order detect concordances between melodies, with the aim of assessing the intertextual, literary and ideological implications of musical reuse. With this goal, the researcher will create a sophisticated searching tool able to detect similarities in melodic sequences which will take into account musicological principals as well as the variability inherent to the process of manuscript copy. A secondment period at McGill will enable the fellow to use Optical Music Recognition to enlarge the dataset of encoded melodies at an unprecedented speed and accuracy. This is expected to substantially increase the discovery of musical correspondences. The research will enhance our understanding of the dialectic between imitation and creation in the Middle Ages, and contribute to define the osmotic, yet conflicting, relationship between lay and religious culture and their creative environments throughout the later middle ages.

Keywords: digital humanities
Development of Chitosan-based Immobilized Catalysts for H/D Exchange in Continuous Flow Systems (CHITOCAT)

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: Slovenia,Germany,Estonia
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-08-01
End date: 2027-11-30
Duration (months): 28.0
Total project cost (EUR): 231650.44
EU funding (EUR): 231650.44
Participants: 3
Project status: SIGNED

Deuterium (D)-labelled compounds are highly significant in drug discovery and medicinal chemistry. In recent times, they have also started finding applications further afield e.g., in organic electronics, dyes, and catalysts, due to their higher stability and enhanced properties compared with their non-labelled counterparts. As such, there is an urgent need to develop sustainable chemistry to support the synthesis of D-labelled compounds. A promising approach is to use Continuous Flow Chemistry (CFC). This is considerably under-represented for deuteration, despite its reputation for being more efficient, safe, and sustainable than conventional batch processes. Additionally, to the best of my knowledge, there are no reported CFC systems featuring recyclable catalysts or reusable catalyst supports for the synthesis of D-labelled compounds. This project therefore aims to demonstrate the concept of a sustainable, bio-based catalyst support system for H/D exchange in continuous flow chemistry (CFC) systems. Specifically, I wish to evaluate the possibility of using chitosan, a biopolymer derived from seafood waste, to immobilize Kerr’s catalyst, the “gold standard” catalyst for H/D chemistry (due to its substrate versatility). Chitosan is biodegradable, easily functionalized, and highly porous, making it an ideal support for catalysts in CFCs. I propose that this immobilized system will enhance the stability and operating lifetime of the catalyst while facilitating the recovery of the catalyst metal and reuse of the biopolymer support material. Key project objectives include synthesis of the immobilized catalyst, evaluation of its performance in H/D reactions for simple and complex molecules within batch and CFC systems, recovery of iridium from the used catalyst, and controlled degradation of the chitosan from the support to be used elsewhere. We hope that the results from this study will inspire further research in developing CFC systems based on circular chemistry

Keywords: chitosan biopolymers,continuous flow chemistry
High-resolution Decryption of Left Atrial Haemodynamics in Atrial Fibrillation (HiDDyn-AF) (HiDDyn-AF)

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: France,Italy
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-10-01
End date: 2025-09-30
Duration (months): 24.0
Total project cost (EUR): 210962.88
EU funding (EUR): 210962.88
Participants: 2
Project status: SIGNED

Atrial fibrillation (AF) is characterized by disorganized atrial electrical activation leading to a rapid and irregular heart rate. Incidence rates are rising to epidemic levels with aging populations. AF disrupts left atrium (LA) fluid dynamics, increasing the risk of stroke and catheter ablation seeks to restore sinus rhythm. We aim to develop of personalised risk stratification in AF patients, begin to optimise ablation treatment and generate novel findings about the pathophysiology of AF. High-resolution Decryption of Left Atrial Haemodynamics in AF (HiDDyn-AF) adopts a cross-disciplinary approach to combine computational fluid dynamics (CFD), 4D flow MRI, late-gadolinium enhancement MRI and computed tomography to create a novel model of LA flow. This model will be applied to investigate AF patients pre- and post-ablation. Furthermore, LA flow will be compared with myocardial fibrosis and strain. Previously, LA flow has been modelled in small groups with idealised or patient-specific geometries. Some applied wall motion however none have been validated with 4D flow MRI as planned in HIDDyn-AF. The project will further extend the state-of-the-art by analysing many more cases than previous studies (N=50), to produce impactful results. The research questions are built on the complimentary experience of the host team, clinical collaborators, secondment team and the applicant. Accordingly, the objectives are to: develop a novel, high-resolution, validated model of LA flow (O1), define LA haemodynamics (vortices, WSS and turbulence) for AF (O2) and determine: the haemodynamic impact of ablation (O3), if haemodynamics predict recurrence of AF (<1 yr) (O4), if a relationship exists between LA myocardial fibrosis (O5), myocardial strain (O6) and haemodynamics. HiDDyn-AF consists of 6 work packages: project management, knowledge transfer & training, model development study, large cohort study of pre- & post-ablation patients, analysis & synthesis and dissemination.

Keywords: atrial fibrillation,computational fluid dynamics,4d flow mri,late gadolinium enhancement
Electrification of heavy machinery (Electric Actuator)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Norway
Call: EIC Accelerator Open 2023 (HORIZON-EIC-2023-ACCELERATOR-01, 2023)
Start date: 2023-08-01
End date: 2025-05-31
Duration (months): 22.0
Total project cost (EUR): 4160433.75
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

We have invented and developed a specific solution for one of the key components found within most of the worlds excavators, cranes, construction machinery. Excess Engineering have patented and tested a new revolutionary electric actuator that can replace all type of hydraulic systems. Electric systems available in the market today has never been able to replace hydraulic systems in construction machines. Our patented electric actuator has the ability to transfer high loads, give the required stroke at a small footprint. We are now able to replace hydraulic cylinders in almost every application. The technology provides many advantages compared to hydraulic systems, including improved energy efficiency, no hydraulic oil required, reduced need and cost of maintenance and increased service life.
IP, Discoverability and Partnerships: Reviving the International Promotion of European Values Through European Animation Industry Ecosystem (ANIMA MUNDI)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Culture, creativity and inclusive society
Theme: Culture, creativity and inclusive society
Destination: Innovative Research on the European Cultural Heritage and the Cultural and Creative Industries
Action type: Innovation actions
Countries involved: Belgium,Italy,Austria,France,Czechia,Germany,North Macedonia,Switzerland
Call: Europe’s cultural heritage and arts – promoting our values at home and abroad (HORIZON-CL2-2024-HERITAGE-01, 2024)
Start date: 2025-02-01
End date: 2028-07-31
Duration (months): 42.0
Total project cost (EUR): 4191505.8
EU funding (EUR): 3990678.3
Participants: 18
Project status: SIGNED

The overarching goal of ANIMA MUNDI is to ‘awaken’ the sleeping giant of animation as a popular, promising and potent sector of the CCIs in European diversity and artistic expression, global markets and international cultural relations. ANIMA MUNDI will do so by generating and assessing data on, and addressing, cross-sectoral strengths as well as pervasive gaps in terms of intellectual property (IP), discoverability, and international partnerships in the European Animation Industry Ecosystem (EAIE) that enable or hinder its international promotion. Specifically, ANIMA MUNDI will (i) provide an interdisciplinary mapping and assessment of the ways in which it is possible to increase the visibility of and access to European animation internationally, (ii) pilot the transformative impact of European Animation to promote EU priorities, culture and fundamental values abroad, by investigating practices and innovative hubs of creativity, with a special focus on children and youth, and (iii) co-test the potential of European Animation to strengthen cooperation among stakeholders involved in the CCIs and to establish strategic alliances with other sectors. To achieve this, ANIMA MUNDI, a multi-stakeholder team of five academics and eight key stakeholders, develops, among other things, (i) a European Animation Brand to support the visibility of the EAIE globally, (ii) organises joint promotional activities on European coproductions at the Annecy International Festival, (iii) develops an ANIMA MUNDI Dashboard, a tool for policymakers and professionals when assessing the visibility of and access to European Animation internationally, (iv) pilots the design of a tool promoting discoverability through gamification, (v) delivers Empowering Partnerships and IP toolkits to promote effectively EU priorities abroad, and (vi) develops a first-aid kit handbook on audiences, including youth and children, to support the promotion of EAIE abroad in a bottom-up and imaginative manner.

Keywords: animation industry intellectual property artificial intelligence joint pilot activities children and youth exports discoverability audiences institutional promotion
Scalable and Eco-friendly Bioproduction (SEB)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: France
Call: EIC Accelerator Open (HORIZON-EIC-2022-ACCELERATOR-01, 2022)
Start date: 2023-01-01
End date: 2024-12-31
Duration (months): 24.0
Total project cost (EUR): 1647700.0
EU funding (EUR): 1153390.0
Participants: 1
Project status: CLOSED

Core Biogenesis uses plant-based expression systems for the very large-scale and high-quality bioproduction of pharmaceutical-grade recombinant proteins. The latter are used as growth factors (GF) in synthetic cell culture media for clinical and commercial scale biomanufacturing of cell therapy. The company has developed a novel advanced proprietary bioprocess integrating breakthrough innovations overcoming major technical issues of plant systems by offering a 25-fold yield increase and a 10-fold cost reduction. Its biomanufacturing platform will enable Core Biogenesis to fully exploit the great potential of plants for large and scalable production capacity as plants are well known to be the most promising system for production upscaling. Core Biogenesis’s ambition is to position itself as the European leader in plant-based biomanufacturing by 2025.
A quantum chemical approach to dynamic properties of real materials (CC4DYN)

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: Austria
Call: ERC CONSOLIDATOR GRANTS (ERC-2022-COG, 2022)
Start date: 2023-08-01
End date: 2028-07-31
Duration (months): 60.0
Total project cost (EUR): 1999288.0
EU funding (EUR): 1999288.0
Participants: 1
Project status: SIGNED

Computational materials science, using ab initio simulations and high-performance computing, is expected to play a key role in realizing the vision of ‘materials by design’. However, the goal to discover game-changing materials with scientific and industrial relevance requires highly accurate ab initio methods for excited state as well as ground state properties of atoms, molecules and solids. So far, due to the computational complexities involved, methods with systematically improvable accuracy for condensed matter systems, such as coupled-cluster theories, are mostly limited to the study of ground state properties in the clamped-nuclei approximation. This ambitious proposal aims at inducing a computational paradigm shift in the study of vibrational and optical properties of real materials by implementing a multitude of novel methods. On the one hand, we propose to reduce the computational cost of time-dependent equation-of-motion coupled-cluster theory by several orders of magnitude compared to existing approaches. On the other hand, coupled-cluster atomic forces will be implemented for machine-learning force fields in the Gaussian approximation potentials framework. Together, the proposed methods have the potential to achieve an unprecedented level of accuracy and system size for the prediction of a wide range of material properties including optical spectra and phonon frequencies. We seek to employ the newly developed approaches to resolve a number of long-standing discrepancies between theoretical predictions and experimental findings for dynamic properties of defects, molecular crystals and layered materials. These carefully selected systems highlight key problems of currently available ab initio methods and novel approaches that go beyond the state of the art will have an enormous impact in all areas of physics, chemistry and computational materials science.

Keywords: first principles simulation,many electron theories,ab initio,quantum chemistry,coupled cluster theory