Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Optimization of Radio Detectors of Ultra-High-Energy Neutrinos through Deep Learning and Differential Programming (NuRadioOpt)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Fundamental Constituents of Matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-04-01
End date: 2029-03-31
Duration (months): 60.0
Total project cost (EUR): 1738721.0
EU funding (EUR): 1738721.0
Participants: 2
Project status: SIGNED

Detection of neutrinos at ultra-high energies (UHE, E >10^17eV) would be one of the most important breakthroughs in astroparticle physics in the 21st century and would open a new window to the most violent phenomena in our universe. Radio detection remains the only viable technique at these energies. However, owing to the expected small flux of UHE neutrinos, the detection rate will be small, with just a handful of events per year, even for large future facilities like the IceCube-Gen2 neutrino observatory at the South Pole. In this project, I will enhance the science capabilities of UHE neutrino detectors substantially by increasing the detection rate of neutrinos and improving the quality of each detected event, using recent advances in deep learning and differential programming. I will replace the threshold-based trigger foreseen for future detectors with neural networks, increasing the detection rate of UHE neutrinos by a factor of two at negligible additional hardware costs. I will perform an end-to-end optimization using differential programming and deep learning to improve the determination of the neutrino direction and energy. My previous work on developing state-of-the-art MC simulation codes, my experience in data analysis, designing reconstruction algorithms and deep learning, and my leadership role in IceCube-Gen2 will enable this ERC project. The timing of this project is perfect for influencing IceCube-Gen2 - the largest facility for astroparticle physics with neutrinos for the next decade - whose construction is planned to start in 2027. With this ERC project, IceCube-Gen2 will be able to expedite the discovery of UHE neutrino fluxes by up to a factor of five, see sources from deeper in our Universe increasing the observable volume by a factor of three, and measure the neutrino-nucleon cross-section at EeV energies with 3x smaller uncertainty. Hence, NuRadioOpt will substantially increase the capabilities of future observatories for UHE neutrinos.

Keywords: uhe neutrinos,radio detection of neutrinos,askaryan,deep learning,differential programming
3-in-1 Self-Powered Hybrid Energy-Driven Wearable Technologies: Unifying Energy Harvesting and Storage (SelfEnergyDriver)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: Portugal
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-06-01
End date: 2030-05-31
Duration (months): 60.0
Total project cost (EUR): 1992329.0
EU funding (EUR): 1992329.0
Participants: 1
Project status: SIGNED

In the landscape of wearable electronics, there is a demand for self-powered systems to address the challenges posed by discontinuous and limited power supply. Low-grade heat and moisture are two ubiquitous clean energy sources with great potential for electrical energy production. 2-in-1 technologies combining thermal or moisture-induced energy harvesting (EH) with electrochemical energy storage (ES) are attractive self-charging solutions for wearables. However, their performance remains inconsistent and unsteady. The understanding of the underlying EH and ES mechanisms remains fragmented, without considering synergistic opportunities. SelfEnergyDriver proposes a PIONEER HYBRID textile technology UNIFYING moisture-triggered EH, thermal EH and supercapacitive ES. This groundbreaking 3-in-1 concept aims for the self-sustained harvesting of two clean energy sources and simultaneous in situ storage of the captured energy. Non-toxic multifunctional hybrid electrode nanomaterials with 3D porous architecture, redox-active nature and precisely engineered moisture permeability, thermal and electrochemical properties will be developed to comply with all EH/ES requirements. These hybrids will be incorporated in textiles and assembled with advanced redox-active ionic hydrogel polyelectrolytes in innovative device architectures. SelfEnergyDriver will delve into the intricacies of electrodes, electrolytes, and their interfaces, to guide the rational design of these trailblazing technologies and foster cooperative effects for synergistically-enhanced outputs. The supreme goal will be bridging the knowledge gap between electrode/electrolyte properties, interface phenomena, device architecture and performance. As a proof-of-concept, the 3-in-1 technologies will be tested under simulated real-world conditions, to showcase their potential to revolutionize the landscape of wearable energy systems. The acquired knowledge will set new landmarks in clean energy, textronics and sensing.

Keywords: 3d porous hybrid nanomaterials self powered multifunctional smart textiles energy technologies moisture induced energy harvesting thermal energy harvesting self chargeable supercapacitors
Device-Edge-Cloud Intelligent Collaboration framEwork (DECICE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: World-leading Data and Computing Technologies
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Sweden,Austria,Türkiye,United Kingdom
Call: Cognitive Cloud: AI-enabled computing continuum from Cloud to Edge (RIA) (HORIZON-CL4-2022-DATA-01, 2022)
Start date: 2022-12-01
End date: 2025-11-30
Duration (months): 36.0
Total project cost (EUR): 5627250.0
EU funding (EUR): 5627249.5
Participants: 13
Project status: SIGNED

The cloud computing industry has grown massively over the last decade and with that new areas of application have arisen. Some areas require specialized hardware, which needs to be placed in locations close to the user. User requirements such as ultra-low latency, security and location awareness are becoming more and more common, for example, in Smart Cities, industrial automation and data analytics. Modern cloud applications have also become more complex as they usually run on a distributed computer system, split up into components that must run with high availability. Unifying such diverse systems into centrally controlled compute clusters and providing sophisticated scheduling decisions across them are two major challenges in this field. Scheduling decisions for a cluster consisting of cloud and edge nodes must consider unique characteristics such as variability in node and network capacity. The common solution for orchestrating large clusters is Kubernetes, however, it is designed for reliable homogeneous clusters. Many applications and extensions are available for Kubernetes. Unfortunately, none of them accounts for optimization of both performance and energy or addresses data and job locality. In DECICE, we develop an open and portable cloud management framework for automatic and adaptive optimization of applications by mapping jobs to the most suitable resources in a heterogeneous system landscape. By utilizing holistic monitoring, we construct a digital twin of the system that reflects on the original system. An AI-scheduler makes decisions on placement of job and data as well as conducting job rescheduling to adjust to system changes. A virtual training environment is provided that generates test data for training of ML-models and the exploration of what-if scenarios. The portable framework is integrated into the Kubernetes ecosystem and validated using relevant use cases on real-world heterogeneous systems.

Keywords: ai scheduling,digital twin,system monitoring,machine learning,heterogeneous systems,data centers,edge computing,kubernetes
The Celestial Road to a Holographic Description of Black Holes (CeleBH)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Fundamental Constituents of Matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Italy
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-10-01
End date: 2028-09-30
Duration (months): 60.0
Total project cost (EUR): 969334.0
EU funding (EUR): 969334.0
Participants: 1
Project status: SIGNED

Black holes are at the root of the most striking puzzles that arise when attempting to combine quantum mechanics and general relativity; they are therefore thought to be key to a formulation of a theory of quantum gravity. In recent years, progress in our understanding of the elusive quantum nature of black holes has been made thanks to the so-called holographic correspondence, which has provided theoretical physicists with a powerful tool to study quantum gravity. However, these methods are so far only fully developed for anti-de Sitter spacetimes, whereas understanding realistic black holes would require to develop a holographic correspondence for asymptotically flat spacetimes. The aim of this project is to make major steps towards a holographic description of quantum gravity in asymptotically flat spacetimes, and to address some of the unresolved key issues in black hole physics, especially in understanding the mysterious origin of their vast entropy. To do so, I propose to combine two novel emergent ideas: The first is a new approach to holography in flat spacetimes called celestial holography, which proposes that quantum gravity in flat space can be described by a celestial conformal field theory living on the sphere at infinity. The second is based on the recent discovery, in my previous works, of the existence of intriguing infinite-dimensional symmetries that appear close to black holes’ event horizon. The infinite set of asymptotic conservation laws in the presence of horizons is awaiting to be unraveled, as it will reveal unexplored constraints on information flow for black holes in flat spacetimes. Thanks to this unique combination of powerful approaches based on symmetry principles, my research project aims at addressing the challenge of a holographic formulation of spacetimes that include realistic black holes, such as the ones we observe in the sky.

Keywords: holographic correspondence,black holes,asymptotic symmetries
Accelerating Demand-Driven tools for pediatric innovation adoption - A collaborative roadmap for Europe (Add4Kids)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Interconnected Innovation Ecosystems
Destination: Interconnected Innovation Ecosystems
Action type: Coordination and support actions
Countries involved: Spain,Germany,Poland,Belgium
Call: Preparatory action for setting up joint programmes among innovation ecosystems actors (HORIZON-EIE-2023-CONNECT-01, 2023)
Start date: 2024-01-15
End date: 2025-03-14
Duration (months): 14.0
Total project cost (EUR): 529082.24
EU funding (EUR): 507684.07
Participants: 8
Project status: CLOSED

There is a clear gap in the adoption of paediatric healthcare innovations which continues to hinder the access to such innovations. Demand-driven policy instruments offer the possibility to overcome market failures and allow risk sharing between co-owners and investors. These include Public Procurement of Innovation (PPI) and Pre-Commercial Procurement (PCP), Value-Based Procurement (VBP), and Social Impact Bonds (SIBs). Such demand-driven funding instruments have the potential to reduce the adoption gap in paediatric healthcare. However, these innovative funding tools are rarely used to support paediatric innovation adoption. This limited adoption of demand-driven funding tools can be attributed to several barriers which are specific to paediatric healthcare, such as the perceived high-risk and complex nature of bringing paediatric innovations to market, fragmented regulatory pathways and market access, limited market demand (low numbers of patients) and perceived small impact. Additionally, there is poor awareness, knowledge and understanding of demand-driven tools, which results in their underutilisation. The i4KIDS-LEGACY project will create a holistic innovation action plan in paediatrics to ensure optimal implementation and utilisation of demand-driven innovation financing instruments to support the adoption of paediatric innovation in a coordinated manner across Europe. The project will: 1) Identify demand-driven financing instruments and mechanisms for paediatric health. 2) Collect data on the needs and challenges in the adoption of paediatric innovation. 3) Develop working groups to ideate solutions that address the needs and challenges identified. 4) Collaboratively build a European action plan to catalyse the use of demand-driven tools for the adoption of paediatric innovation solutions. 5)Promote cross-border adoption of paediatric innovations using financial instruments.

Keywords: paediatric health,adoption gap,co creation,quadruple helix
Center for Biological Invasions in Forests (HIVE)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Attracting and mobilising the best talents
Destination: Attracting and mobilising the best talents
Action type: Coordination and support actions
Panel: Environment and Geosciences
Countries involved: Czechia
Call: ERA Chairs (HORIZON-WIDERA-2023-TALENTS-01, 2023)
Start date: 2025-01-01
End date: 2029-12-31
Duration (months): 60.0
Total project cost (EUR): 2492350.0
EU funding (EUR): 2492350.0
Participants: 1
Project status: SIGNED

This proposal addresses the priorities of the Call by appointing an Era Chair Holder at the Faculty of Forestry and Wood Sciences of the Czech University of Life Sciences Prague (CZU), Dr. Andrew M. Liebhold, a globally prominent scientist in the field of biological invasions. The proposal aims to establish HIVE: The Centre for Biological Invasions in Forests around the Chair, by hiring a team of excellent researchers and adopting an innovative work model of Socio-Ecological Synthesis Centres (SESC). This model has recently had much success in generating innovative high-impact research, yet there has been only a very limited uptake in Widening countries. Contrary to the traditional hierarchical system of research organisation, SESC research is organised around Working Groups (WG), which are formed of a diverse collection of researchers and innovators from mostly outside host institutions. Adopting this work model in HIVE will deliver a considerable increase in mobility level across disciplines and sectors and facilitate a new level of cooperation between researchers and innovators. Involving EU and national decision and policymakers, nature conservation and biosecurity experts in WG and fostering an active bi-directional interaction, will profoundly contribute to the knowledge-based economy and society and strengthen the human capital base in Widening countries. To maximise the efficiency and impact of HIVE, a system of institutional reforms will be adopted at CZU, involving administrative changes facilitating the work model of SESC, fostering HIVE’s sustainability in the post-EU funded period, and increasing FLD capacity to attract talent and contribute to reverting the progressive brain drain in Widening countries. Reforms will be adopted to increase the capacity to compete for prestigious research grants, ultimately contributing to HIVE`s sustainability. A dissemination and communication strategy is proposed to maximise the spill-over effect on CZU and WC.

Keywords: ecological synthesis research,biological invasions in forests,cross sectoral interactions,invasion biology,nature conservation,biosecurity
Upcycling mushroom waste to replace animal derived chemicals (MYCOCIRCLE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Public-private partnerships
Destination: Circular Bio-based Europe
Action type: Research and Innovation actions
Partnership: CBE (JU-JTI)
Countries involved: Germany,Hungary,Norway,Sweden,Spain,France,United Kingdom
Call: Biotech routes to obtain bio-based chemicals/ materials replacing animal-derived ones (HORIZON-JU-CBE-2024, 2024)
Start date: 2025-09-01
End date: 2028-08-31
Duration (months): 36.0
Total project cost (EUR): 3486567.5
EU funding (EUR): 3486567.5
Participants: 10
Project status: SIGNED

Animal-derived materials are surprisingly widespread in everyday products. For example, in the cosmetics, pharmaceutical and agrochemicals industries, squalene (from shark liver oil), chitin/chitosan (from crustaceans) and animal-derived proteins and fats are widely exploited despite growing ethical and sustainability concerns. Fungal biomass is rich in chitin, while recent advances in fermentation technologies offer opportunities to convert fungal glucans into microbial proteins, oils and even triterpenes such as squalene. However, scalability is a major challenge, due to the limited availability of clean fungal biomass and competition with food/feed value chains. Moreover, oil production using existing fungal fermentation routes is limited to low-value triglycerides, and efficient product extraction remains a bottleneck. Feedstock diversification is needed, alongside innovation towards higher-value products and more efficient processes. The production of edible mushrooms produces ~189M tpa of mycelium rich wastes, contaminated with lignocellulosic growth substrate. This contamination makes these wastes unsuitable for food/feeds, and incompatible with existing valorisation approaches. MYCOCIRCLE will focus on this challenging feedstock, developing new technologies including an enzymatic fractionation process, two parallel fermentation routes, and novel enzymatic chitin conversion reactions. The resulting product streams, including fungal chitosan/chito-oligosaccharides, a high-value squalene-rich microbial oil, and microbial proteins, will be validated as replacements to animal derived materials in cosmetic and agrochemical applications. The MYCOCIRCLE consortium represents the entire value chain, from feedstock producers (SYLVAN, KORONA) to industrial biotechnology companies (GST), and end users (GI, THGL). This value chain will be supported by world experts in biomass valorisation, enzymatic processing, and SSbD development: TUM, SINTEF, NMBU, SLU and IDENER.

Keywords: waste mushroom biomass,chitin,chitosan,squalene,microbial oil,microbial protein,cosmetics,agrochemicals,mycelium,fractionation,fermentation,lignocellulose,lignin
Plug&plAy eneRgy ManagEmeNt for hybrID Energy Storage (PARMENIDES)

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: Innovation actions
Countries involved: Austria,Sweden,France,Italy,Germany,Switzerland
Call: Interoperable solutions for flexibility services using distributed energy storage (HORIZON-CL5-2022-D3-01, 2022)
Start date: 2023-01-01
End date: 2025-12-31
Duration (months): 36.0
Total project cost (EUR): 3626814.5
EU funding (EUR): 2990477.0
Participants: 8
Project status: SIGNED

The ongoing transition of the energy system is accompanied by digitalization activities, enabling new applica-tions. This results in a fragmentation of existing platforms, protocols, and standards. Therefore, interoperability among various platforms as well as cross-domain interoperability must be ensured. The usage of ontologies provides an opportunity to address cross-platform and cross-domain interoperability. PARMENIDES aims to develop a new ontology by extending existing ontologies to provide a knowledge base, with a focus on the elec-tricity and heating domain for buildings, customers, and energy communities. It will support different use cases, focusing on the utilization of Hybrid Energy Storage Systems (HESS). Besides the representation of storage technologies, information about energy community customers, their behaviours, and components including their relation will be part of the ontology, providing a standardized vocabulary of the domain of energy communities. This further includes technical, economic, regulatory, behavioural, and social constraints to be considered in operation. To support a number of use cases, a new generation of innovative Energy Management Systems (EMS) will be developed. This system will be capable of using ontology as a knowledge base. This will enable a very generic software design and ensures the scalability and replicability of the solution. As a framework for the integration of the EMS, PARMENIDES will define an information and communication architecture, enabling an interoperable, reliable, and secure exchange of data and instructions. The developed EMS will be demonstrated in very diverse pilots in Austria and Sweden. The Austrian pilot will address energy communities with different storage technologies, the Swedish pilot will focus on flexibility from a very short time scale through innovative heat pump control to electrical and thermal batteries and seasonal storage through geothermal borehole heat exchangers.

Keywords: ontology,hybrid energy storage systems,interoperability,energy community,energy management system