Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Scalable Manipulation Learning through AR-enhanced Teleoperation enabling Intuitive Interactive Instructions (SMARTI3)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Germany
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-07-01
End date: 2030-06-30
Duration (months): 60.0
Total project cost (EUR): 2445808.0
EU funding (EUR): 2445808.0
Participants: 1
Project status: SIGNED

SMARTI3 addresses three pivotal visions in robotics: enabling robots to handle diverse objects in complex scenes, manipulate objects with varying geometries and physical properties, and interpret and follow intricate instruction manuals. While AI is predestined to realize these visions, its promises to fulfill these visions have not been fully realized yet. Despite significant breakthroughs of AI in many domains, robotics has not seen a parallel surge, primarily due to challenges in task-specific data collection, the high demand for training data, and the extensive expertise required for applying AI in robotics. Our innovative approach integrates intuitive data generation, fine-tuning of foundational knowledge, leveraging human feedback for continual self-improvement, and incorporating offline instructions with semantic and geometric information into skill, perception, and prediction models. Our objectives are to streamline the generation of human and synthetic data for robot learning, develop few-shot adaptable foundational representations, scale-up robot skill-learning capabilities, and enhance learning from interactive human feedback and offline instructions. The project showcases its advancements through three use cases that mirror future industrial applications: sorting and disassembling a variety of Lego pieces, origami folding from visual instructions, and assembling complex Lego structures from unsorted pieces using instruction manuals. These cases highlight our approach's adaptability and potential for industrial application. SMARTI3 aims to revolutionize robotic skill, perception, and prediction models, significantly broadening the scope of robotic technology in various industries. This groundbreaking project lays the foundation for a new era of intelligent, adaptable, and user-friendly robotic solutions, set to rival human manipulation capabilities.
Hydrogen Industrial Inland Valley (HI2 Valley)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Public-private partnerships
Destination: Clean Hydrogen
Action type: Innovation actions
Partnership: CLEANH2 (JU-JTI)
Countries involved: Austria,Italy,United Kingdom,Denmark,Romania,Latvia,Poland,Netherlands,Slovenia,Czechia,Hungary,Switzerland,Morocco
Call: Large-scale Hydrogen Valley (HORIZON-JTI-CLEANH2-2024, 2024)
Start date: 2025-01-01
End date: 2030-12-31
Duration (months): 72.0
Total project cost (EUR): 24944564.49
EU funding (EUR): 19996861.2
Participants: 49
Project status: SIGNED

The HI2 Valley project will establish a large-scale renewable hydrogen (H2) economy in the Austrian industrial regions of Upper Austria, Styria and Carinthia, directly contributing to the goals outlined in the European Green Deal, REPower EU and Hydrogen Strategy. The project will achieve this by decarbonising key sectors through H2, drastically reducing emissions in the steel, chemical, and cement industries as well as in energy and mobility via displacement of fossil fuels – including reducing the reliance on natural gas which Austria overwhelmingly imports from Russia. With 13,000 tons of green hydrogen being needed in the regions by 2028, over 10,000 tpy of green hydrogen will be produced within this HI2 Valley. By introducing strategically placed, decentralised H2 production facilities, the project will strengthen the country's energy resilience and flexibility and create a robust domestic market for green H2. The HI2 Valley will play a crucial role in bridging the gap between Southern and Eastern European hydrogen supply corridors. Being embedded on the European Hydrogen Backbone and TEN-T network and future pipeline connections (PCIs) with Southern Europe and North Africa, the HI2 Valley will seamlessly connect Austria's multi-user H2 ecosystem with neighbouring countries like Germany, Italy and Slovakia, fostering a truly interconnected Central European hydrogen network. This role model helps to secure industrial jobs, and through standardisation and integration brings costs of hydrogen down, creating a green industrial future for Europe. Going beyond its immediate neighbours, the HI2 Valley will also foster knowledge sharing and wider adoption of green hydrogen through the active collaboration with five other emerging Hydrogen Valleys in Eastern Europe in Poland, Romania, Hungary, Latvia and the Czech Republic.
Artificial Intelligence–Driven Materials Design for Spintronic Applications (AI4SPIN)

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: Spain
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-04-01
End date: 2028-03-31
Duration (months): 60.0
Total project cost (EUR): 1078750.0
EU funding (EUR): 1078750.0
Participants: 1
Project status: SIGNED

The steady increase in energy consumption per capita and the slow transition toward renewable energy sources is becoming a serious global problem, making energy efficiency paramount for new technologies. Two-dimensional materials offer an encouraging path toward ultra-low-power electronics due to our capability to combine them into Van der Waal heterostructures with tailored quantum properties based on their constituents. The spin-orbit torque (SOT) memories are technological prospects that consume a fraction of conventional memories' power. Still, they offer superior speed and storage capacity and were further improved when using 2D materials as building blocks instead of 3D metallic systems. Recently theoretical efforts demonstrated the existence of thousands of potentially synthesizable 2D materials, opening an exponentially larger pool to mine for optimized heterostructures which brute-force approaches cannot tackle. This project aims at developing artificial intelligence that will propose optimized Van der Waal heterostructures for spin-orbit torques. To this end, we will first construct an automatic material assessment (AUTOMATA) tool based on deep neural networks that will perform numerical modeling and quantum transport simulations autonomously to compute the spin-orbit torque efficiencies. In parallel, we will develop a computer-assisted structure (COMPASS) optimizer that will propose new systems for spin-orbit torques by using an evolutionary strategy. The AUTOMATA tool will rank the candidates generated by the COMPASS optimizer, and we will use those with superior performance to improve the COMPASS optimizer prediction. The successful combination of these tools will accelerate the development of technologies by automatizing the material selection phase through this quantum mechanical optimization process. Although we apply it to spin-orbit torques, it is, with little effort, generalizable to any electrical response functions.

Keywords: high throughput,neural networks,2d materials,spin orbit torques,quantum transport,emergent computing
Graphene Nanogyroids, a new technological platform for CO2 capture and sequestration (GYR4CO2)

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: Spain
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-11-01
End date: 2027-10-31
Duration (months): 24.0
Total project cost (EUR): 194074.56
EU funding (EUR): 194074.56
Participants: 3
Project status: SIGNED

Addressing the urgent global challenge of reducing atmospheric CO2 concentrations requires the development of efficient technologies for carbon capture and sequestration (CCS). The GYR4CO2 project addresses the urgent need to reduce atmospheric CO2 levels by developing advanced carbon capture and sequestration (CCS) technologies. A central focus is on enhancing CCS performance through innovative solid sorbents, by creating novel polymer-graphene composites with highly ordered porous structures. The project aims to synthesize these composites using co-assembly techniques involving graphene oxide platelets and block copolymers from aqueous dispersions. The target is to form negatively curved sp²-hybridized carbon structures, known as Schwarzites, which mimic the topologies of triply periodic minimal surfaces, particularly gyroid morphologies. By meticulously designing these multiphase composites, the project anticipates that the unique geometries will foster stronger interactions with polymer chains, leading to the development of hierarchically porous nanostructures. While theoretical models of graphene gyroid structures exist, GYR4CO2 seeks to realize these nanomaterials experimentally for the first time. The project will also involve synthesizing novel thiol-ene block copolymers, which will spontaneously assemble into gyroid morphologies and be integrated with graphene nanomaterials. The efficacy of these gyroid structures— purely polymeric, graphene, or composite—will be assessed for CCS performance in both individual gas models and real mixed gas systems. The goal is to achieve a CO2 capture capacity exceeding 4 mmol/g, along with high selectivity against nitrogen, oxygen, and humidity. Success in these areas will pave the way for innovative CCS technologies. Additionally, the project aims to enhance Y. Tamsilian's research capabilities, employability, and professional network through interdisciplinary experiences and improved communication skills.

Keywords: co2 capture,graphene,copolymer,gyroid nanostructures,thiol ene step growth polymerization,chemical building blocks,triply periodic minimal surfaces
WBG Pilot Line (WBGPilotLine)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Public-private partnerships
Destination: Chips for Europe Initiative
Action type: Research and Innovation actions
Partnership: CHIPS (JU-JTI)
Countries involved: Italy,Sweden,Poland,Finland,Austria,France,Germany
Call: Pilot line on advanced semiconductor devices based on Wide Bandgap materials (HORIZON-JU-Chips-2023-RIA-CPL, 2023)
Start date: 2025-06-01
End date: 2030-05-31
Duration (months): 60.0
Total project cost (EUR): 98860424.75
EU funding (EUR): 49430212.38
Participants: 23
Project status: SIGNED

The present proposal aims to realise an integrated pilot line focused on the developments of the wide–bandgap (WBG) semiconductors technologies for power and radio frequency (RF) electronics. The project will be realised by strengthening the existing facilities located in Finland, Italy, Poland, France, Austria, Germany and Sweden, and involving Universities and Research centres of the seven above-mentioned States operating in the field of advanced semiconductors and related technologies. The WBG semiconductor pilot lines will address all the front–end critical issues related to the realisation of devices with power and RF performance much higher than those realised by the conventional silicon technology, will define a clear roadmap for the development of such advanced technologies, will investigate strategies to improve the structural and electrical properties of WBG (and Ultra–WBG) semiconductors, and will develop new MEMS devices based on WBG and Ultra-WBG devices.
Doctoral Network on Assistive Health Technology in Unsupervised/Home Settings (AERIALIST) (AERIALIST)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Doctoral Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Belgium,Germany,Austria,Portugal,Spain,Italy,Netherlands,Switzerland
Call: MSCA Doctoral Networks 2023 (HORIZON-MSCA-2023-DN-01, 2023)
Start date: 2025-03-01
End date: 2029-02-28
Duration (months): 48.0
Total project cost (EUR): 3832144.46
EU funding (EUR): 3384928.8
Participants: 25
Project status: SIGNED

In healthcare, assistive health technology plays a pivotal role as a catalyst for positive transformation. These innovative solutions are crafted to improve health outcomes and treatment regimens and address the challenges of various diseases. Their overarching mission is to enhance the overall quality of life while ensuring equal access to and participation in daily activities for everyone, encompassing patients with various health conditions, the expanding elderly population, and even individuals navigating an increasingly automated and demanding work environment. Outstanding instances of assistive health technology include home-based rehabilitation robotics that target sensorimotor deficits, electric wheelchairs providing individuals with independent mobility, telehealth applications facilitating cardiovascular monitoring, and powered prostheses that reinstate mobility and instil confidence in everyday activities. Despite recent strides in hardware, sensing, control systems and actuation technologies, notable limitations persist. These systems often encounter challenges when operating beyond their specifically tailored environments, necessitating manual adjustments and limiting safety and reliability in dynamic scenarios. We aim to push assistive health technology towards intelligent, safe, and reliable assistance that mirrors human interaction. This entails harnessing the latest ML advancements for real-world human-engineering system interactions. We are committed to cultivating a new generation of multidisciplinary doctoral candidates to realise this vision. Through close collaboration with industry partners, and assistive health technology developers, these candidates will gain knowledge from diverse disciplines, encompassing sensing, control, and safety considerations. The ultimate outcome will be assistive health technologies that elevate health diagnoses, treatments, and the overall quality of life, ultimately fostering equity in daily activities.

Keywords: system safety and dynamic risk management
Modelling Religiopolitics. The Imperium Christianum via its Commoners (RELIC)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Study of the Human Past
Panel description: Archaeology and history
Countries involved: Austria
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 1498755.0
EU funding (EUR): 1498755.0
Participants: 2
Project status: SIGNED

From the 10th c. onwards, new polities emerged on the periphery of the Holy Roman Empire (HRE), the new centre of Christendom. Endowing Christianity as an institutional system was integral to the emperor’s power, expanding his influence and securing his rule in the new kingdoms. Previous narratives have been generally constructed on the basis of limited written accounts, which mainly concern the higher echelons of society, emphasising the role of secular and ecclesiastical elites. However, the ecclesiastical and secular administrative organisation of the rural population could not be reconstructed satisfactorily from these sources, despite their importance for the stability of both State and Church. RELIC proposes a complex, comparative analysis and contextualisation of archaeological and historical remains of the rural population living on the eastern fringes of the HRE during the Ottonian and Salian periods (10th -12th c.), exploring the influences of centres and networks of secular and ecclesiastical lords, of the natural environment, and of the economic infrastructure. Investigating this often-overlooked segment of the population, its hitherto unexplored or neglected role allows us to study how (top-level) changes in political and ecclesiastical organisations can be reflected in the evidence concerning the lower levels of society and of the local church network; how different strategies worked in different political settings, and what role local initiatives/agencies could have played in religious and political shifts. The religiopolitics of the HRE is a well-researched topic. Still, investigating the involvement of the rural population in these processes is a new approach, and so is the applied methodology and primary data: proximity, network and catchment analysis on archival archaeological data and historical evidence. Individually, such evidence provides little information, but together it forms a significant and unexplored dataset of the rural population.

Keywords: social archaeology,modelling religious processes in archaeology and history,gis analysis and big data in archaeology and history
Boxing Earthquakes and Faults in ACtive Tectonics (BE_FACT)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Earth System Science
Panel description: Physical geography, geo logy, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: France
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2024-11-01
End date: 2029-10-31
Duration (months): 60.0
Total project cost (EUR): 2489125.0
EU funding (EUR): 2489125.0
Participants: 1
Project status: SIGNED

Large-magnitude earthquakes accommodate most of the tectonic deformations of the Earth along active fault systems. However, despite the occurrence of numerous earthquakes every year, our knowledge of the physical processes governing earthquake ruptures, the relation between rupture propagation, slip distribution and fault geometry, and the evolution of the fault geometry through successive earthquake cycles is still extremely limited, hindering significant progress in earthquake hazard mitigation. Although an increasing number of observations points to a key role of the fault geometry and its evolution on the way rupture propagates and ends through successive earthquake cycles, understanding the 3D geometry of fault systems and its dynamics during earthquakes from natural data alone remains difficult and fraud with problems. In this project I propose a new approach to address those pending questions by generating my own earthquakes from a combination of lab experiments and numerical simulations, to make a major step forward in the understanding of natural observations of earthquake ruptures and fault systems. These experimental earthquakes will provide original data to study simultaneously rupture processes and fault geometry, and its evolution in 3D. The new dataset will be used to train neural networks designed to solve for earthquake source parameters, including 3D rupture geometry and finite slip distribution. Eventually, the neural networks will analyze real earthquake ruptures, incorporating remote sensing, field, and seismological data, to produce 3D earthquake rupture models. The project BE_FACT will thus produce an integrated view of the earthquake fault systems that will answer these long-lasting questions about the intimate relations between earthquake ruptures and fault system geometry, providing a new stepping-stone toward a more earthquake-resilient society.

Keywords: earthquake rupture dynamics,earthquake cycle,fault geometry,analogue and numerical simulations
EXTENDING THE RAIL NETWORK OF PHDS IN EUROPE’S RAIL JOINT UNDERTAKING (PhDs EU-Rail)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Public-private partnerships
Destination: Europe's Rail
Action type: Research and Innovation actions
Partnership: EU-RAIL (JU-JTI)
Countries involved: Germany,Switzerland,France,Czechia,Lithuania,United Kingdom,Ukraine,Italy,Croatia,Spain,Portugal
Call: EXTENDING THE RAIL NETWORK OF PHDS (HORIZON-JU-ER-2023-01, 2023)
Start date: 2024-10-01
End date: 2027-09-30
Duration (months): 36.0
Total project cost (EUR): 1691125.0
EU funding (EUR): 1691125.0
Participants: 15
Project status: SIGNED

The project PhDs EU-Rail aims to foster collaboration and innovation in the European railway sector by consolidating a scientific community and conducting research through 10 PhD positions. The project is closely aligned with the goals of the EU-RAIL Joint Undertaking (EU-Rail) and industry partners. The objectives of the project include developing a research plan for each PhD position, with the aim of submitting at least 2 peer-reviewed journal papers per position. The research topics cover a range of areas, such as supporting the implementation of rail technical innovations for decarbonization, promoting gender equality in the rail industry, exploring new education and training methods, enabling rail-based urban logistics, improving fast night train operations, studying the dynamic stability of trains over bridges, enhancing safety-relevant communication in the railway system, calculating societal KPIs of rail research programs, the railway inclusion and accessibility for individuals with intellectual disability and ICT platforms for interoperable and reliable ERTMS systems. The project also emphasizes collaboration with industry stakeholders and participation in relevant conferences and events to disseminate research findings. By expanding the Academics4Rail project and involving major European rail companies and academia, the project seeks to strengthen research and innovation capabilities in the European railway sector.

Keywords: railway,scientific network,academics4rail,phds,innovation,night trains,gender,education,urban freight,safety communications,disabled inclusion,kpis,bridges,ict ertms