Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Probabilistic photonic computing (PICNIC)

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: Germany
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2025-07-01
End date: 2030-06-30
Duration (months): 60.0
Total project cost (EUR): 3468472.0
EU funding (EUR): 3468472.0
Participants: 1
Project status: SIGNED

The neuroscience principle of free energy minimization (FEM) suggests that living organisms create internal models of their environment in order to minimize surprise and manage uncertainty. This is strikingly different from artificial neural networks (ANNs), which prioritize maximizing accuracy. Although ANNs excel in applications such as natural language processing and weather forecasting, they struggle with real-time, safety-critical tasks like autonomous navigation due to their reliance on deterministic hardware in the von Neumann architecture which is poorly suited for distribution estimation and parameter extraction in probabilistic models. Photonic analog computing enables a paradigm shift for probabilistic processing by exploiting inherent physical stochasticity via direct encoding of information in physical quantities and by permitting ultralow latency and high throughput. Here, I will leverage hybrid photonic integrated circuits to harness physical random number generation (RNG) for probabilistic computing. I will develop chaotic light sources based on Erbium-doped waveguide amplifiers as physical sources of entropy for RNG at telecom wavelengths. Using time-wavelength interleaving of amplitude-bandwidth encoded probabilistic weights and broadband ultrafast waveguide-integrated modulators for vector encoding, I will achieve probabilistic sampling at rates beyond 300 Tera-operations per second. For deterministic convolution processing, I will realize ultra-high throughput programmable photonic crossbar arrays using silicon photonic circuits. By hybrid integration via 2D-3D nanoprinting, I will link different computing platforms into advanced systems. Combining deterministic and probabilistic photonic processors, I will realize disruptive compute architectures for mixed-mode probabilistic-deterministic deep neural networks, achieving Tera-scale probabilistic compute performance, and enabling real-time Bayesian object recognition beyond 100 frames per second.

Keywords: chaotic light,photonic neural networks,photonic computing
Building an AI-tool to facilitate the integration, accessibility, and usability of heterogeneous cultural heritage data on medieval manuscripts. (ManuscriptAI)

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: Netherlands
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2023-POC, 2023)
Start date: 2024-04-01
End date: 2026-03-31
Duration (months): 24.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 2
Project status: SIGNED

Data on our cultural heritage hold enormous potential for Europe’s economic growth, for the construction of a more inclusive narrative of its past, and for the future collective identity of its citizens. The biggest obstacle to unlocking that potential is the current lack of integration and interoperability among the countless datasets describing the holdings of European heritage institutions. ManuscriptAI will help remove that obstacle for the data on Europe’s medieval written heritage, manuscripts. Premodern handwritten books are a pivotal category of our heritage, yet they are currently underrepresented in large research infrastructures and their catalog data locked in digital silos. ManuscriptAI will employ machine learning algorithms to construct a model capable of facilitating the automatic integration of distinct data sources describing medieval manuscripts, under a predefined set of machine-understandable vocabulary terms. The model will be made accessible through a human engagement interface and tested during a pilot in a real-world setting. The project will fill two important desiderata: (1) a user-friendly AI-tool to allow heritage professionals to convert their metadata on manuscripts to Linked Open Data, and (2) a dedicated ontology for the description of medieval manuscripts to complete CIDOC-CRM extensions for the cultural heritage domain. The project, building on the achievements of the ERC-2018-stg PASSIM, is supported by a strong consortium of domain experts, heritage professionals and institutes, and (inter)national research infrastructures. ManuscriptAI will advance the EU’s agenda for digital heritage. The tool will help democratise datafication, making Linked Open Data accessible to small heritage institutions and actively involving them in its development. This integration tool for data on medieval manuscripts will be a huge step forward for the digital preservation and usability of Europe’s unique handwritten heritage.
CALCIUM LOOPING TO CAPTURE CO2 FROM INDUSTRIAL PROCESSES BY 2030 (CaLby2030)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Sustainable, secure and competitive energy supply
Action type: Research and Innovation actions
Countries involved: Spain,Finland,Germany,Sweden,Belgium,Italy,Romania,Netherlands,United Kingdom,Poland
Call: Cost reduction of CO2 capture (new or improved technologies) (HORIZON-CL5-2021-D3-02, 2021)
Start date: 2022-10-01
End date: 2026-03-31
Duration (months): 42.0
Total project cost (EUR): 15026220.75
EU funding (EUR): 15026220.75
Participants: 23
Project status: SIGNED

CaLby2030 will be the enabling tool to achieve commercial deployment from 2030 of Calcium Looping using Circulating Fluidised Bed technology, CFB-CaL. Three TRL6 pilot plants across Europe (Sweden, Germany and Spain) will be developed for testing under industrially relevant operating conditions. To maximise impact, these pilots will investigate the decarbonisation of hard to abate CO2 emission sources: flue gases from modern and future steel-making processes that rely mainly on electricity, emissions from modern cement plants that cannot escape from the use of limestone, and from Waste-to-Energy and Bio-CHP power plants that fill the gap in scalable dispatchable power and allow for negative emissions. These pilots will collectively generate a database of over 4000 hours of operation. This data will be interpreted using advanced modelling tools to enable the scale-up of the key CO2 capture reactors to fully commercial scale. Process techno-economic simulation, cluster optimisation and Life Cycle Analysis will be performed to maximise renewable energy inputs and materials circularities. All this information will form the basis for undertaking FEED studies for the demonstration plants in at least four EU locations. Innovative CFB-CaL solutions will be developed and tested to reach >99% CO2 capture rates, reaching for some process schemes costs as low as 30 €/tCO2 avoided and energy intensities with Specific Primary Energy Consumption per CO2 Avoided below 0.8 MJ/kgCO2 when O2 from electrolysers is readily available as an industrial commodity. Societal scientists and environmental economists will assess the social acceptability and preferences for “zero” or “negative emissions” CaL demonstration projects with novel methodologies that will elucidate and help to overcome current societal barriers for the implementation of CCUS. The consortium includes the world-leading CFB process technology developer, key end user industries and leading academics including CaL pioneers.

Keywords: calcium looping,circulating fluidised beds,carbonation,calcination,
GREen ENdeavor in Art ResToration (GREENART)

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: Research and Innovation actions
Countries involved: Italy,Greece,Ireland,United Kingdom,Sweden,United States,France,Hungary,Belgium,Spain,Brazil,China,Japan,Slovenia,Germany
Call: Green technologies and materials for cultural heritage (HORIZON-CL2-2021-HERITAGE-01, 2021)
Start date: 2022-10-01
End date: 2025-09-30
Duration (months): 36.0
Total project cost (EUR): 3826282.5
EU funding (EUR): 3826282.5
Participants: 31
Project status: SIGNED

European Cultural Heritage (CH) is a crucial resource that must be maintained, preserved and accessible, to counteract degradation enhanced by unfavorable environmental conditions and climate changes. Conservation methodologies lack durability, sustainability and cost-effectiveness, and are typically based on energy-consuming processes or non-environmentally friendly materials. Coping with these issues, GREENART proposes new solutions based on green and sustainable materials and methods, to preserve, conserve and restore CH: 1) Protective coatings based on green materials from waste and plant proteins, with self-healing and reversibility character, possibly functionalized with organic/inorganic nanoparticles to impart VOC capture, anti-corrosion and barrier behaviors. 2) Foams and packaging materials made by biodegradable/compostable polymers from renewable sources (polyurethanes and natural fibers) to control T/RH. 3) Consolidants based on natural polymers from renewable sources, to mechanically strengthen weak artifacts. 4) Gels and cleaning fluids inspired by the most advanced systems currently available to conservators, improving them according to green and circular economy. 5) Green tech solutions for monitoring CH assets non-invasively against pollutants and environmental oscillations. Life cycle Assessment and modeling will favor the “safe-by-design” creation of affordable solutions safe to craftspeople, operators and the environment, and minimize energy-consumption in monitoring museum environments. Such holistic approach is granted in GREENART by a multidisciplinary partnership that gathers hard and soft sciences and engineering, including academic centers, innovative industries and SMEs, conservation institutions and professionals, museums whose collections hold absolute masterpieces in need of conservation, public entities and policy makers. The latter will favour training and dissemination activities to make stakeholders familiar with the new methods.

Keywords: sustainable art restoration,remedial and preventive conservation,cleaning,consolidation,green methods and materials,materials from renewable raw sources,durable green polyfunctional materials
DEFORM: Design against Fatigue of Multi-Stable and More Efficient Aerospace Composite Structures Driven by Sequential Buckling for Greener Aviation (DEFORM)

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 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-03-28
End date: 2028-03-27
Duration (months): 24.0
Total project cost (EUR): 209483.28
EU funding (EUR): 209483.28
Participants: 1
Project status: SIGNED

Multi-stable composite structures are promising candidates to create adaptive/morphing structures and decrease fuel consumption for aerospace sectors. However, it seems to be a paradox to allow structures being multi-stable and stiff enough to carry loads simultaneously. Repetitive stable-mode switches also cause fatigue damage onset. To support EU aviation emission cut by 2050, DEFORM will deliver a cutting-edge design of next-generation aerospace structures exhibiting both multi-stability and high fatigue performance. Current knowledge gaps are: whether we can modify existing aerospace structures to become multi-stable; how their fatigue damage accumulates under non-linearly large deformation. DEFORM will use a three-phase interdisciplinary framework to fill in the gaps. Phase 1: Tailor non-uniform thermal stress distribution to create sequential-buckling-driven multi-stability for stiffened aerospace composite structures that can perform three stable modes under varying load amplitudes. Phase 2: Implant buckling-mode switch analysis into a virtual-crack-closure-technique-based algorithm for efficient fatigue damage modelling, providing dataset to optimise a down-scaled demonstrator with extended fatigue life and increased fatigue damage resistance. Phase 3: Perform multi-field interactive damage diagnostics in real time to measure optical-acoustic-mechanical properties at a structural level, for evaluation of fatigue damage accumulation scheme of composite structures under repetitive stable-mode switches. Overall, DEFORM will advance state-of-art of against-fatigue design, modelling and testing for multi-stable aerospace structures beyond the known limits, supporting European Green Deal for the EU’s ambition of climate neutral by 2050.

Keywords: buckling stiffened composite structures multi stable aerospace structures fatigue
Tracing Dynamical Evolution of Dark Matter via Machine Learning (TraDE-DML)

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: France
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-07-01
End date: 2027-06-30
Duration (months): 24.0
Total project cost (EUR): 211754.88
EU funding (EUR): 211754.88
Participants: 2
Project status: SIGNED

We plan to answer two pivotal questions of modern astrophysics: the nature of dark matter and its interaction with baryonic processes. Utilizing galaxy observations and cosmological hydrodynamical galaxy simulations across a redshift range of z = 0.3-2.5, we will examine 3-10 Gyr of cosmic history. We propose to "Trace the Dynamical Evolution of Dark Matter via Machine Learning"- TraDE-DML, that pioneers an advanced methodology for assessing the dynamical masses of galaxies, aiming for unprecedented precision in the quantification of both baryonic and dark matter components. Unlike conventional velocity profile studies, TraDE-DML eliminates assumptions of symmetry and dynamical equilibrium, substantially reducing uncertainties in dark matter estimates. Our project aims to exploit existing and future survey data, preparing for expansive telescopic projects like ELT and SKA. Simple in concept but revolutionary in application, the machine learning techniques used in TraDE-DML are poised for transformative advances in dark matter studies, particularly in determining its central density slope. By synergistically integrating knowledge from observational astronomy, theoretical physics, machine learning, and statistics, TraDE-DML aims to make significant strides in unraveling the elusive nature of dark matter. As an expert in observational data analysis with privileged access to leading galaxy surveys like MAGPI and MIGHTEE, I possess the skills to efficiently extract and analyse pertinent data. The host, Dr. Benoit Famaey, excels in galaxy dynamics and alternative dark matter theories. Supported by a team versed in cosmological simulations and machine learning experts at the Inter-disciplinary Institute IRMIA++, we form a unique research synergy. Utilizing advanced machine learning frameworks and leveraging expansive survey data, TraDE-DML is well-positioned for immediate execution.

Keywords: dark matter extra galactic astrophysics
The microRNA-m6A epitranscriptome: Integrative analysis of its role in normal brain behaviour and the development of epilepsy (MethylMiR)

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: Ireland,Denmark
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-08-25
End date: 2025-02-24
Duration (months): 30.0
Total project cost (EUR): 246180.47
EU funding (EUR): 246180.47
Participants: 3
Project status: SIGNED

Evidence is emerging that persistent changes in gene expression regulation and post-transcriptional regulation underlies the epileptogenic process. The current proposal builds on preliminary data which suggests that microRNAs (miRNA), which have recently emerged as critical regulators of epileptogenesis, may be subjected to adenosine methylation (m6A), and that this process may also be disrupted in epilepsy, representing an unexplored layer of gene expression regulation likely to influence neuronal activity and seizures. The current proposal will evaluate the effect of m6A on miRNA function, to understand how this influences normal brain behaviour and epileptogenesis. To achieve this, a combined strategy will be used, including interdisciplinary approaches, international and national secondments (University of Aarhus and RSCI), and intersectoral collaborations, which encompasses clinicians (Beaumont Hospital) and industry (STORM Therapeutics). First, hippocampal m6A-tagged miRNAs both during epileptogenesis and in chronic epilepsy will be profiled using an adapted m6A-seq approach using an epilepsy mouse model and resected human epilepsy brain tissue. Then, the effect of m6A on miRNA function and neuronal integrity will be evaluated by targeting miRNA methylation in both mouse and human cell lines. Next, clinical outcomes of pharmacological targeting of miRNA methylation on epilepsy development will be evaluated using an epilepsy mouse model. Together this proposal represents the first miRNA methylation study in the brain, which is hoped will illuminate novel therapeutic strategies for the treatment of epilepsy. This project is ideal to further my interest in translational neuroscience while also developing a network of collaborators across Europe and develop my scientific skills. This fellowship represents the best option to achieve my career goal of establishing myself as an independent researcher and consolidating my career in the European research environment.

Keywords: microrna m6a epileptogenesis epitranscriptome temporal lobe epilepsy
INCORPORATION OF MEBATTERY PROJECT IN THE EIC PATHFINDER PORTFOLIO “MID TO LONG TERM AND SYSTEM INTEGRATED ENERGY STORAGE (MEBATFOL)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: other EIC
Destination: Other destinations
Action type: Coordination and support actions
Countries involved: Spain,Germany
Call: EIC Booster grant for EIC Pathfinder and EIC Transition (HORIZON-EIC-2023-BOOSTER-IBA-01, 2023)
Start date: 2024-06-01
End date: 2024-11-30
Duration (months): 6.0
Total project cost (EUR): 56848.93
EU funding (EUR): 49965.0
Participants: 3
Project status: CLOSED

The main objective of MEBATFOL project is the engagement and contribution of MeBattery’s team to implement the activities that are part of the EIC Pathfinder portfolio “Mid to long term and system integrated energy storage (MLDES)” work package to reinforce collaboration with the portfolio projects, specifically: • Portfolio management and internal governance • Elaboration of the portfolio action plan, with the details of the techno-scientific collaborations and synergies with other portfolio projects • Portfolio actions to foster innovation • Implementation of portfolio dissemination and exploitation activities • Techno-economic benchmark and comparative assessment Reinforcing collaboration and coordination within the MLDES Pathfinder portfolio is not only pertinent but also mandatory, as it is the main goal of portfolio building. By including a broader range of energy storage technologies, addition of MeBattery project to the MLDES Pathfinder portfolio will contribute to achieve some of its main goals, namely to guarantee the diversification of energy storage technologies, optimise European energy storage and enable demand response strategies and capabilities to host higher penetration of intermittent renewable technologies. Redox flow battery technology is currently underrepresented in the MLDES Pathfinder portfolio, with only 2 projects focused on these promising electrochemical energy storage systems to address the Pathfinder challenge goals. Hence incorporation of the MeBattery project will undoubtedly strengthen research, innovation, dissemination and exploitation collaborative efforts in this EU strategic field

Keywords: network porfolio energy storage redox flow batteries
Enable eVeryone's Engagemet in the eneRgY transitiON (Every1)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Sustainable, secure and competitive energy supply
Action type: Coordination and support actions
Countries involved: Belgium,Greece,United Kingdom,Austria,Germany,Portugal,Netherlands,Denmark
Call: Reinforcing digitalisation related know how of local energy ecosystems (HORIZON-CL5-2021-D3-02, 2021)
Start date: 2022-11-01
End date: 2026-04-30
Duration (months): 42.0
Total project cost (EUR): 3281788.5
EU funding (EUR): 3281788.5
Participants: 11
Project status: SIGNED

The Every1 consortium brings together leading experts in energy and education, and experts in ecosystems combined with social sciences to deliver an impactful concept that includes all elements needed to enable an effective participation of all European stakeholders in the digital energy market. Every1 starts from a deep data-informed understanding of stakeholders and ecosystems (citizen, cities, energy communities, companies, regulators, and distribution grid operators) to map who they are, what they know, how they use information and where they look for it. Similarly are existing and emerging solutions (products and services) assessed and validated, and use cases will serve to understand what stakeholders need to know in order to take up a role that matches their potential. This gap is used to develop learning pathways that lead to the identification of the needed capacity building material. Parallel, Every1 works on making a market by exchanging best practices with policy makers and energy regulators, enabling discussions on barriers, and developing joint communication material for their peers. A strong outreach campaign is launched which focusses on the local level with impactful social media campaigns, material in various languages and spread through the media the local stakeholders use. The operation of the ecosystems is based on the proven EXPLORE SHAPE UNITE approach and includes guided one-on-one support, joint activities, webinars, matchmaking, and more. Future ecosystems are actively engaged and trained, while cooperation with diverse activities and networks will lead to a wider uptake of the capacity building material.

Keywords: energy transition,engagement,capacity building,awareness creation