Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Advanced acoustic methods for leak detection and localization in aging water distribution networks (WATER-LDL)

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: United Kingdom
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-07-01
End date: 2027-06-30
Duration (months): 24.0
Total project cost (EUR): 276187.92
EU funding (EUR): 276187.92
Participants: 1
Project status: SIGNED

This research project addresses the critical need for improved leak detection, localization, and monitoring in aging water distribution networks (WDNs), particularly in megacities like London, Paris, and Rome. These networks face significant challenges due to environmental degradation and aging infrastructure, resulting in frequent leaks that cause water wastage and infrastructure damage. Current acoustic leak detection methods are labor-intensive and prone to errors, relying heavily on human expertise, which limits their efficiency. The project aims to go beyond the state-of-the-art by investigating the fundamental mechanisms of leak signal generation in water pipes. By integrating experimental studies, computational fluid dynamics simulations, and theoretical modeling, the research will provide a comprehensive understanding of how leak signals are affected by factors such as pipe properties, soil conditions, and leak characteristics. This knowledge will be used to develop advanced algorithms for leak identification and localization, improving accuracy by filtering out background noise and enhancing time delay estimation. Furthermore, the project will propose a real-time monitoring strategy for WDNs, enabling proactive leak management and improving water infrastructure sustainability. The interdisciplinary approach combines acoustic and vibration analysis, signal processing, and infrastructure engineering, with collaboration from international academic partners. The expected outcomes include a universal leak detection model applicable to diverse WDNs, and the development of scalable solutions that can extend to industries such as gas, hydrogen, and oil. This project promises significant contributions to both water conservation and sustainable urban infrastructure.

Keywords: water distribution networks,leak detection,acoustic methods,signal processing,time delay estimation,computational fluid dynamics,infrastructure sustainability,real time monitoring
Scaling the Societal Impact of Community Enterprises for Sustainability (SCENSUS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Human Mobility, Environment, and Space
Panel description: Human geography, demography, health, susta inability science, territorial planning, spatial analysis
Countries involved: Netherlands
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-09-01
End date: 2028-08-31
Duration (months): 60.0
Total project cost (EUR): 1478000.0
EU funding (EUR): 1478000.0
Participants: 1
Project status: SIGNED

How can community enterprises scale their impact and reshape society beyond markets and states? This is an important and timely challenge in realising societal transformations for sustainability, as scholars and policymakers have recently placed high expectations on the transformative potential of communities. While community enterprises are widely known to foster collective action locally, the mechanisms through which they can achieve wider transformations to tackle urgent sustainability challenges such as climate change are poorly understood. SCENSUS aims to identify and understand the mechanisms by which community enterprises can scale their societal impacts. It will analyse initiatives in three key fields (energy, carsharing, repair) in Germany, France, the UK and the Netherlands, to: 1) Develop a unified theory that explains the factors behind the scaling of community enterprises; 2) Analyse the institutional complexity arising as community enterprises scale and the collective mechanisms to manage them; 3) Identify and analyse community enterprises’ strategies to mobilise critical resources and build legitimacy for scaling; 4) Understand the roles of social networks in community enterprises’ scaling dynamics. This research will 1) advance collective action theory with key insights from social network theory and organisational institutionalism, 2) create a novel approach to scaling, beyond business growth in single organisations and market diffusion, 3) connect different levels of analysis, from community enterprises’ internal functioning to their aggregate development, 4) develop and test an innovative multi-method research design combining large-N statistical analysis, surveys and comparative case studies, to capture dynamic scaling processes. By creating a new interdisciplinary theory of the dynamics of community enterprises within wider social systems, SCENSUS will advance the research frontier on collective action and organisation studies

Keywords: community enterprise scaling strategies collective action renewable energy carsharing circular economy
Accelerating the discovery of high-performance electrocatalysts through artificial intelligence and robotics technology (Dunia.ai)

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: Germany
Call: EIC Accelerator Open 2024 (HORIZON-EIC-2024-ACCELERATOR-02, 2024)
Start date: 2024-12-01
End date: 2026-11-30
Duration (months): 24.0
Total project cost (EUR): 3570750.0
EU funding (EUR): 2499525.0
Participants: 1
Project status: SIGNED

Catalysts are fundamental for almost all industry products as they accelerate and control the selectivity of chemical reactions. As such, they play a crucial role in mitigating the climate crisis to transition away from fossil fuels by utilizing CO2 in electrochemical reactions to synthetize carbon neutral end products. However, catalyst innovation is lacking. It takes about 20 years to discover a new catalyst with multi-million euros R&D expenses. To enable a carbon neutral industry in the near future, Dunia is revolutionizing electrocatalyst discovery with its autonomous, artificial-intelligence- and robotic- driven laboratory. This breakthrough technology significantly accelerates the discovery process, reducing timeframes by up to 90% and cutting costs by at least 60-70% compared to conventional methods, while building the largest and most reliable database for future electrocatalyst research. As a result, Dunia is able to find high-performance catalysts that can utilize captured CO2 in the production of value-added chemicals and green fuels.

Keywords: catalysis,electrocatalyst,emap,autonomous laboratory,artificial intelligence,machine learning
Quantum Operational Reliability through Robust Error Correction Techniques (QORRECT)

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): 60.0
Total project cost (EUR): 1.0
EU funding (EUR): 1.0
Participants: 1
Project status: SIGNED

At PASQAL, we are committed to realizing the potential of quantum computing in real-world impactful applications. Our Quantum Processing Units (QPUs) utilize neutral atom-based qubits to achieve scalability, stability, and efficiency, surpassing limitations of other technological approaches. We offer versatility with two distinct QPU operational modes: simulator and universal. The former allows for digital twin creation and finely controlled simulations without algorithm development while the latter can process conventional gate-based algorithms. Yet, the error rates of quantum operations must be dramatically reduced – known as quantum error correction (QEC) – to unlock the full potential of quantum computing. Neutral atom-based qubits, thanks to their high-connectivity and three-dimensional configurability, provides a unique technological edge implementing error correction. Our goal in this project is to advance error correction and mitigation techniques for neutral atom-based qubits from the laboratory to the industrial scale in order to unlock the road to next-generation large-scale quantum computers.

Keywords: quantum processor fabrication,fault tolerance,quantum computing,error correction,neutral atoms
Virtual Innovative Learning Laboratories for Global Engineering Education (VILLAGE) (VILLAGE)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Staff Exchanges
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Türkiye,Ireland,Slovenia,Azerbaijan,Spain,Latvia,Belgium,Italy
Call: MSCA Staff Exchanges 2021 (HORIZON-MSCA-2021-SE-01, 2021)
Start date: 2023-03-01
End date: 2027-02-28
Duration (months): 48.0
Total project cost (EUR): 959428.57
EU funding (EUR): 837200.0
Participants: 13
Project status: SIGNED

The aim of VILLAGE is to re-examine the post-pandemic teaching processes and needs of engineering instructors and students for laboratory practice in a multidimensional, multicultural and multidisciplinary context, and to determine roadmaps for new instructional design models in line with the opinions of the stakeholders, to create effective and sustainable instructional models, while developing a pilot virtual lab and its learning materials to test the proposed model. VILLAGE is a joint research and innovation (R&I) project in the context of generating a sustainable learning model for laboratory engineering education considering the new normal and the needs of the instructors with the exchange of staff within partnerships of universities, research infrastructures and SMEs in Europe and beyond, which aims to strengthen inter-sectoral and international collaboration. In general, the existence of some virtual laboratories for engineering education is known, and some variables are effectively used. Beyond the state of the art, this project aims not only to design another virtual lab, but to design a sustainable model for engineering laboratories education based on a multidimensional, multicultural and multidisciplinary analysis.

Keywords: engineering education,instructional design,virtual laboratories
SUPPORTING THE SNS JU OPERATIONS (SNS OPS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Public-private partnerships
Destination: Smart Networks and Services
Action type: Coordination and support actions
Partnership: SNS (JU-JTI)
Countries involved: Germany,Belgium,Sweden,France,Norway,Estonia,Italy,Portugal,Switzerland,United Kingdom,Ireland
Call: SNS operational CSA (HORIZON-JU-SNS-2022, 2022)
Start date: 2023-01-01
End date: 2025-03-31
Duration (months): 27.0
Total project cost (EUR): 3138092.5
EU funding (EUR): 2908473.0
Participants: 16
Project status: CLOSED

Supporting the operations of the 6G Smart Networks and Services Joint Undertaking. The SNS OPS project is devoted to supporting the SNS JU Operations. The planned work is to facilitate the activities of the European SNS Initiative, as outlined in the SNS contractual partnership. This includes: • Support for the Smart Networks Services (SNS) institutionalised European partnership and the related programmatic organisation through cross SNS projects coordination. • Organisation of the SNS as a coherent programme with clear links to the 6G Infrastructure Association and the EC via the partnership board and the JU Office and their strategic policies. • Maximised output and exploitation of SNS project results in key domains (e.g., standardisation, spectrum) through managed cooperation between projects on horizontal issues. • Inter JU coordination and joint actions. The SNS OPS project will also orchestrate and organise strategic activities to capture and promote the European view on 6G, the achievements of the 6G SNS and will start the process of monitoring the development and impact of these results on the evolution of 6G in Europe over the period of life of the 6G SNS initiative. This work will also look to the future and consider what additional actions are necessary to maintain the European momentum and leadership in 6G and facilitate the uptake of 6G by the European vertical sectors. During the life of the SNS OPS project, the SNS JU will be launching and expanding its first phase activities and preparing for subsequent phases.

Keywords: smart networks and services,6g,
ANalogue In-Memory computing with Advanced device TEchnology (ANIMATE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Systems and Communication Engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Italy
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2023-05-01
End date: 2028-04-30
Duration (months): 60.0
Total project cost (EUR): 2498868.0
EU funding (EUR): 2498868.0
Participants: 1
Project status: SIGNED

Every day we generate, process and use a massive amount of data. Searching a keyword on the internet, choosing a movie for the weekend and booking our next holiday are just a few simple actions that rely on data-intensive algorithms in the cloud, such as data search, recommendation and page ranking. The energy cost of computation is high: it has been recently reported that training a relatively large neural network produces the same carbon dioxide of 5 cars in their whole lifetime. Data centres use an estimated 200 terawatt-hours each year, corresponding to 1% of the global demand. With the spectre of an energy-hungry future, it is essential to identify novel concepts, novel algorithms and novel hardware for streamlining the computing process. My preliminary research has shown that computing energy requirements can be reduced by closed-loop in-memory computing (CL-IMC) that can solve linear algebra problems in just one computational step. In CL-IMC, the time to solve a certain problem does not increase with the problem size, in contrast to other computing concepts, such as digital and quantum computers. Thanks to the size-independent computing time around 100 ns, CL-IMC requires 5,000 times less energy than top-class digital computers at the same bit precision. These preliminary results show that CL-IMC is a promising new computing concept to reduce the energy consumption of data processing. My project will develop the device technology, the circuit topologies, the system-level architectures and the application portfolio to fully validate the CL-IMC concept. A novel memory technology that is immune to wire resistance effects will be developed. CL-IMC integrated circuits will be designed with standard CMOS technology. System-level architecture and application exploration will further support the scalability and feasibility of the concept, to demonstrate CL-IMC as a primary contender among the computing technologies with improved energy efficiency.

Keywords: in memory computing,memristor,analogue computing
Electrostatic actuation of 2D-materials-based heterostructures for in situ twistronics (2DTWIST)

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: Switzerland,Italy
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-07-01
End date: 2026-06-30
Duration (months): 36.0
Total project cost (EUR): 297164.16
EU funding (EUR): 297164.16
Participants: 3
Project status: TERMINATED

The discovery of superconductivity in twisted bilayer graphene in 2018 gave rise to twistronics. Twistronics is the study of how the reciprocal angle between layers of two-dimensional materials can modify their properties. Twisted structures present a Moiré lattice and exhibit very different electronic behavior, from non-conductive to superconductive, which depends significantly on the angle between the layers. To date, several techniques have been developed to fabricate layered heterostructures with controlled rotation between the layers, but the Moiré patterns have largely been static. Recent works have demonstrated the tuning of Moiré patterns by using the atomic force microscopy technique to rotate adjacent layers, allowing to study the evolution of properties as the twist angle varies. Dynamic control of rotatable heterostructures will provide a relatively simple platform for exploring exotic quantum effects. Thanks to the observation of these phenomena, a new playground will be created with disruptive technological repercussions, from quantum computing to optoelectronics. In 2DTWIST, I will develop a new technique that allows active, dynamic, and automated control of Moiré geometry in 2D heterostructures in a single device, allowing more precise positioning and in-situ twist of adjacent layers, by electrostatic actuation. Thanks to this approach it will be possible to explore how emergent properties depend on Moiré geometry and to achieve controlled and uniform properties within a single device.

Keywords: 2d materials,twistronics,mems,actuator
From Stick to Screen: Digital Editions of Runic Inscriptions as Research Tools (FSTS)

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: Norway
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-01-02
End date: 2025-05-01
Duration (months): 28.0
Total project cost (EUR): 226751.04
EU funding (EUR): 226751.04
Participants: 1
Project status: CLOSED

The project “From Stick to Screen: Digital Editions of Runic Inscriptions as Research Tools” will create a born-digital, interactive and open-access critical corpus edition of the runic inscriptions from the four medieval Norwegian trading towns Bergen, Trondheim, Oslo and Tønsberg. It will address the challenges of proper digital representation of runes from a multidisciplinary perspective, aiming to present a solution to existing challenges. The main objective of the project is to examine new ways of digitally editing and analysing runic inscriptions with a view to how digital museums/editions can be actively used to conduct research. Two case studies will be undertaken to show how the new digital edition of the runic inscriptions from Bergen, Trondheim, Oslo and Tønsberg can immediately be used as a tool for research. The case studies represent two further research objectives of the project. The first case study focuses on the diachronic and geographical spread of runes and variations of runes within these four towns, and will try to identify regional differences in the use of certain runic characters in the material. The second case study will analyse the diachronic and geographical spread of the names appearing in the runic inscriptions from these four towns with a view to the identity, geographic mobility and gender distribution of the rune-carvers. The project will rely on the infrastructure at the Museum of Cultural History, University of Oslo, to publish and link high-quality photographic documentation of the runic inscriptions to data collected about these inscriptions. Photographs and research data combined will form the new digital edition. This in turn will be made accessible to all interested audiences at the end of the project as an interactive tool. The results of the two case studies will be directly accessible when using the digital edition, furthering understanding and knowledge about medieval runic inscriptions from trading towns.

Keywords: digital humanities,runes,names,medieval towns,norway,writing systems,geographic mobility
Cell-inspired high-performance membranes (CHIMERA)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Materials Engineering
Panel description: Advanced materials development: performance enhancement, modelling, large -scale preparation, modification, tailoring, optimisation, novel  and combined use of materials, etc.
Countries involved: Belgium
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2026-02-01
End date: 2031-01-31
Duration (months): 60.0
Total project cost (EUR): 2344875.0
EU funding (EUR): 2344875.0
Participants: 1
Project status: SIGNED

Membranes are applied in many industrial processes and their performance has significant energetic and economic impact. Improving this performance is therefore crucial to meet sustainability goals. Traditional synthetic membranes face a critical trade-off between permeability (speed of separation) and selectivity (precision of separation) which limits their capabilities. Biological membranes, instead, achieve both high selectivity and permeability through the combination of a molecularly thin barrier and specialized transport proteins, yet are too fragile and small for industrial use. Several efforts have been paid to mimic the design of cellular membranes, but the results lack of either scalability or performance. The CHIMERA project merges the best features of biological and synthetic membranes in a groundbreaking approach to high-performance biomimetic membranes. The innovative design of CHIMERA membranes integrates barrier and transport functionalities in the same molecular building block. Since transporters and membrane-forming moieties are connected but distinct, the barrier and transport functions of the resulting membranes are at the same time coupled (like in synthetic membranes) and decoupled (as in biological membranes). The synergy between barrier and transport functionalities introduced by this innovative design will enable the production of large-area membranes that remain molecularly thin and incorporate many transport units, leading to separation performance approaching that of biological membranes. This general approach is elaborated into three complementary strategies that target the realization of proof-of-concept charge selective, ion selective and isoporous CHIMERA membranes. These membranes will be scalable, cost-effective, and could greatly enhance the efficiency of energy-intensive separation processes, potentially offering both economic and environmental benefits.

Keywords: biomimetic membranes,self assembly,block copolymers