Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Democratizing Cryogenic Measurements for the Quantum Ecosystem (CRYOFAST)

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: 2024-11-01
End date: 2026-10-31
Duration (months): 24.0
Total project cost (EUR): 3571375.0
EU funding (EUR): 2499962.5
Participants: 1
Project status: SIGNED

In the rapidly evolving landscape of quantum technology, Europe faces a critical gap in access to professional testing & characterization services. With a growing number of players entering the quantum ecosystem, the need for a centralized, advanced, & accessible facility to perform cryogenic measurements on sensitive devices is more pronounced than ever. kiutra has a breakthrough solution to this challenge: a state-of-the-art low-temperature characterization service leveraging our cutting-edge cryostat hardware. This places us in pole position to offer rapid, precise testing for an affordable fee, ‘Cryogenics-as-a-Service’, reducing test result times from weeks-months to days and lowering the bar to startups, SMEs, & researchers without capital/expertise to acquire/manage specialized low-temperature hardware. With our solution poised to transform markets, kiutra presents a timely opportunity for EIC support, propelling our innovative European company to global quantum industry leadership.

Keywords: cryogenics low temperature cooling system quantum technology,quantum computing quantum devices
The origin and evolution of a blastered Mercury (IronHeart)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: Belgium
Call: ERC CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2024-10-01
End date: 2029-09-30
Duration (months): 60.0
Total project cost (EUR): 1999224.0
EU funding (EUR): 1999224.0
Participants: 1
Project status: SIGNED

Mercury is a metal-rich planet from which Earth-based and spacecraft data were collected. Our understanding of its interior structure and thermochemical evolution is however still relatively poor. This is due to: (1) large uncertainties on its polar moment of inertia and surface composition; this will be largely improved by the BepiColombo mission; (2) an unknown bulk-planet composition; and (3) a poor knowledge of some key thermophysical properties (e.g. phase stability, temperature, density) of solid/liquid metals and silicates inside Mercury. This is because under Mercury’s reducing conditions, elements behave differently than on other planets. Currently available phase diagrams for the Moon and Mars are thus irrelevant for calculating the compositions and physical properties of Mercury’s core, mantle and crust. Improving such constraints is critical but requires new experiments under hitherto unexplored conditions; they will be done in IronHeart. So far, it was largely neglected that many compositional features of Mercury are inconsistent with its direct accretion as a small, metal-rich planet. IronHeart’s working hypothesis is that Mercury is merely the remnant of a larger, Martian-sized, chondritic planet (which we call proto-Mercury) involved in collisions having stripped away much of its mantle. This process did eventually set the final composition of modern Mercury. For the first time, IronHeart will evaluate experimentally how proto-Mercury controlled the core and mantle compositions of modern Mercury. Further experiments on these compositions will provide phase equilibria of Mercury’s internal layers allowing us to calculate their thermophysical properties. By combining those with BepiColombo data into thermal and geophysical models, we will provide a clearer than ever picture of Mercury’s structure and evolution. IronHeart will also be critical to understanding dense exoplanets and the Earth, which accreted from similar building blocks as Mercury.

Keywords: mercury,bepicolombo,magma ocean,core,experimental petrology
National CAncer data Node DeveLopErs (CANDLE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Mission
Theme: Cancer
Destination: Cancer
Action type: Coordination and support actions
Countries involved: Netherlands,Germany,Spain,Finland,Austria,Czechia,France,Italy,Belgium,Malta,Lithuania,Luxembourg,Greece,Norway,Ireland,Portugal,Switzerland,Sweden,Cyprus,Poland,Slovenia,Denmark
Call: Support dialogue towards the development of national cancer data nodes (HORIZON-MISS-2024-CANCER-01, 2024)
Start date: 2025-06-01
End date: 2028-05-31
Duration (months): 36.0
Total project cost (EUR): 2999547.5
EU funding (EUR): 2999547.5
Participants: 40
Project status: SIGNED

Despite decades of devoted research, cancer remains a tremendous health threat and societal burden. Europe's Beating Cancer Plan aims to improve the lives of more than 3 million people by 2030 by improving prevention, early detection, diagnostics, therapeutics, and quality of life. The biggest single hurdle here is the highly inadequate way cancer data, both from research and healthcare, are still being dealt with. While other areas of society (e.g. e-finance, e-commerce, logistics, travel, meteorology, etc.) have fully exploited advances in data and information technology to serve organisations as well as individual consumers, so far this has failed in the health domain. Consequently, cancer data are hard to Find, Access, make Interoperable and Reuse. Evidently this is not caused by lack of suitable technology, but rather by organisational, social and cultural causes. Inherently, solving the problem requires a cultural shift from the current craftsmanship approach to cancer research and data, to a drastic collaboration model at industrial scale. CANDLE therefore aims to scale-up and improve existing (inter)national health data infrastructures, align maximally with national EHDS implementations in member states, including HDAB’s, DAAMS’s and SPE’s. CANDLE will also identify and resolve potential barriers (https://www.health-ri.nl/en/participation/obstacles-removal-trajectory ) that jeopardize effective implementation of UNCAN.eu and ECPDC digital platforms. CANDLE aims to equip data users and NCDN developers with a ‘ready-to-use' CANDLE Resource Kit in a process oriented (research journey, patient journey, data life cycle) way. This action is part of the Cancer Mission clusters of projects 'Understanding' and ‘Quality of Life’ established in 2022 and 2023. In summary, CANDLE will provide an avenue towards a successful and highly desired data transformation in European cancer research and serve as a catalyzer for the UNCAN.eu and ECPDC platforms by advancing the development of NCDNs to reach the goal of the Cancer Mission and Europe’s Beating Cancer Plan, i.e. reducing the burden of cancer.

Keywords: national cancer data nodes,ehds,research infrastructure
LAnd use and MAnagement modelling for SUStainable governance (LAMASUS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Innovative governance, environmental observations and digital solutions in support of the Green Deal
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Netherlands,France,Norway,Spain,Poland,Switzerland,Belgium
Call: Modelling land use and land management in the context of climate change (HORIZON-CL6-2021-GOVERNANCE-01, 2021)
Start date: 2022-09-01
End date: 2026-08-31
Duration (months): 48.0
Total project cost (EUR): 5216588.58
EU funding (EUR): 4995355.83
Participants: 17
Project status: SIGNED

As part of the European Green Deal, the EU must achieve climate neutrality by 2050. The land use sector has a key role to play, which is recognized in the “Fit for 55 package”, where a climate neutrality target for the Agriculture, Forestry, and Other Land Use (AFOLU) is set for 2035. To enable fundamental transformations in the land use sector necessary to achieve the Green Deal, LAMASUS proposes a step change in land use sector governance from policy formulation to implementation to monitoring. LAMASUS builds on i) decades of experience in direct policy support, ii) unique modeling tools, such as GLOBIOM, the only model that integrates agricultural and land use sectors, and CAPRI, MAGNET and CLUE, which underlie JRC’s land use policy assessments, and iii) novel approaches mobilizing machine learning and citizen science. The project is driven by four key elements: EVIDENCE – dynamic monitoring of land use, management and related policies for evaluation and model calibration; UNDERSTANDING – state-of-the-art econometric and biophysical models to assess the role of past policies on changes in land use and management, and their economic and environmental impacts; TOOLS – a highly-integrated policy modeling framework with full sectorial coverage from agriculture and forestry to the whole economy, accounting for carbon, biodiversity and all relevant sustainability dimensions, at multiple scales (land use actors, country, EU level, global); GUIDANCE – a multi-level stakeholder dialogue for co-design of agriculture, forestry and climate policies by the EC, national and local governments and citizens, made accessible to stakeholders across multiple spatial scales through the novel web-based LAMASUS Portal. In this way, LAMUSUS will create a new level of societal engagement in which local actors contribute to the design of effective and efficient EU policies for climate neutrality and will serve as an exemplar for other policy processes within the European Green Deal.

Keywords: agriculture,land management,land use,climate mitigation,integrated assessment,remote sensing,carbon,biodiversity,econometric modeling,spatial models,policy impact assessment,lulucf,cap
Chemical conversion of a Sustainable Aviation Fuel (SAF): p-cymene (ChemCon)

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: Spain
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-01-01
End date: 2026-12-31
Duration (months): 24.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 1
Project status: SIGNED

The aviation industry is one of the largest consumers of fossil fuels and, therefore, a high emitter of CO2 and fine particles, which can contribute to the formation of contrails and can have adsorbed the carcinogenic Polycyclic Aromatic Hydrocarbons (PAHs). Emissions from this sector are expected to increase more and more due to its rapid growth. To address this problem, the use of alternative fuels from renewable biomass and waste resources, such as Sustainable Aviation Fuels (SAFs), has been receiving increasing attention. Sustainable aviation is the goal of EU due to its need to reduce transport emissions by 90% by 2050 (compared to 1990 levels). Suitability and validity of SAFs need to be evaluated prior to use in engines/turbines and it can be done with high-quality experimental data in conjunction with chemical kinetic models, which is a valuable tool to investigate reaction pathways and to guide fuel and engine design. However, there is a lack of experimental data obtained at laboratory-scale and chemical kinetic models describing the combustion of SAFs. Thus, this project aims to provide new experimental data and a kinetic model for the conversion of p-cymene, an aromatic terpenoid produced using several natural feedstocks, in order to contribute with the comprehensive understanding of its combustion behavior and its capacity to form fine particle and PAHs. The experiments will be conducted under a wide range of operational conditions of interest for combustion using the facilities and equipment available at the Aragon Institute of Engineering Research (I3A) of the University of Zaragoza. ChemCon will be conducted in the multi-disciplinary Thermochemical Processes Group (GPT), with the guidance of Prof. María U. Alzueta, expert in the field of minimizing pollutant emissions in combustion processes. This project will strengthen my skills and independence, expanding my professional network and allowing me to establish my own research line and laboratory.

Keywords: oxidation pyrolysis chemical conversion biofuels experimental kinetic modelling fine particles polycyclic aromatic hydrocarbons flow reactor,chemkin pro pressure reaction pathways
Assessing the Economic Efficiency of Climate Smart Agriculture in South Asia. (EconCSA)

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: Economic Sciences
Countries involved: Italy
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-09-01
End date: 2025-12-31
Duration (months): 28.0
Total project cost (EUR): 188590.08
EU funding (EUR): 188590.08
Participants: 1
Project status: SIGNED

The South Asian countries are experiencing climate uncertainty and extremes which are disproportionally affecting agriculture, food security and livelihoods of small-scale farmers. Climate-smart agriculture (CSA) is undoubtedly important to deal with challenges through increasing productivity, adaptation and mitigation. Currently, some of the governments are working to promote CSA technologies to reduce the climate change effects on the agricultural sector and enhance the resilience of small-scale farmers. However, the economic effects of these practices have not been done yet. This research aims to assess the economic efficiency of CSA practices through cost and benefit analysis in the South Asian countries particularly in Nepal, India and Sri Lank (NIS). A thorough understanding of the costs and benefits of CSA options is urgently needed to identify the best adaptation options and their tradeoffs, to scale out the economically feasible technologies and to channel investments effectively and efficiently towards both short- and long-term interventions. The research assesses the cost-benefit of the CSA options into farm production systems. Indicators related to profitability and valuation of environmental and social externalities will be used to assess CSA options. Extended Net Present Value and Real Options Valuation method will be applied to address the uncertainty. The outcomes of the research would support for the farmers to make decisions on the most efficient option to establish the best-bet CSA investment portfolios and for policymakers to formulate effective climate change and agricultural policies and programs in South Asia. The research generates evidence-based knowledge material that fosters the links between science, practice and policy linkages for sustainable food security, small-scale farmers' resilience to climate change; and it is in line with the EU Agricultural Policy. Further, it will help to achieve the SDGs 1, 2 and 13 in the studied countries.

Keywords: agricultural economy climate smart agriculture externalities cost benefit analysis food security
Multiscale modelling of aberrant phase transitions in biocondensates (In-phase)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physical and Analytical Chemical Sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Spain
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2025-06-01
End date: 2030-05-31
Duration (months): 60.0
Total project cost (EUR): 1489128.0
EU funding (EUR): 1489128.0
Participants: 1
Project status: SIGNED

The spatiotemporal organization of the cell material represents one of the great wonders in physics, chemistry and biology. Compartmentalization plays a key role in such precise molecular coordination and enables cellular function. Over the past decade, transformative experiments have revealed that most intracellular compartments are not enclosed by membranes, but instead they are dynamical assemblies, termed condensates, and thought to occur via liquid-liquid phase separation of biomolecules. Nevertheless, the misregulation of these condensates—mostly formed by proteins and nucleic acids—can give rise to deleterious solid-like aggregates, which are associated with the proliferation of age-related and neurodegenerative disorders. In-phase aims to develop an innovative computational approach to resolve the dynamical behaviour of molecules inside functional condensates that drift their complex physicochemical behaviour into pathological solid aggregates. To this end, we plan to develop a multiscale modelling platform—combining coarse-grained force fields and atomistic simulations—which will address the following critical questions: What are the encoded molecular features in RNA and protein sequences regulating phase behaviour? What pushes biomolecular condensates to shift their material properties over time? Can we prevent the proliferation of pathological aggregates induced by condensate misregulation? The overarching goals of this project are: (1) to understand the thermodynamic and intermolecular forces driving condensates out-of-function; and (2) devise potential strategies for preventing RNA/protein aberrant phase transitions in biomolecular condensates. This alone is ground-breaking because it will reveal the underlying mechanisms and interactions by which the structure and sequence of RNA and proteins dictate the material properties of intracellular condensates, and their implication in cellular dysfunction.

Keywords: biomolecular phase separation,biomolecular condensates,liquid to solid transitions,ageing,multiscale simulations,coarse grained modelling
A Groundbreaking Route via Green Methanol Towards High-Efficiency Local Energy Supply (ResMe2E)

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: Poland,Belgium,Lithuania,Germany
Call: Next generation of renewable energy technologies (HORIZON-CL5-2024-D3-01, 2024)
Start date: 2024-09-01
End date: 2027-08-31
Duration (months): 36.0
Total project cost (EUR): 2985827.5
EU funding (EUR): 2985827.5
Participants: 6
Project status: SIGNED

The ResMe2E project aims to revolutionize small-scale green energy production by developing systems for generating green methanol from biogenic residues and converting this synthetic fuel into electricity using a highly efficient Brayton cycle. This approach challenges existing solutions by significantly enhancing the efficiency of renewable distributed energy and renewable fuel production. At its core, the project innovates in biomass waste gasification by combining oxygen gasification with plasma steam. This method lays the groundwork for more efficient green methanol production, a pivotal component in the project's vision. A key aspect involves developing technologies for purifying syngas, ensuring higher quality fuel production. The project also aims to break new ground in electricity generation, employing an air Brayton cycle with heat regeneration and the MILD combustion method, which is expected to surpass the efficiency of classical systems. These efforts converge to achieve an efficiency level twice that of commonly used small-scale ORC systems, marking a significant leap forward in sustainable energy technology. The project integrates various scientific disciplines, employing both experimental and computational methods. It will tackle challenges like optimizing particle separators, developing effective combustion methods, and designing thermally efficient high-temperature heat exchangers. The project's innovative approach also involves studying the interactions between different types of waste and their processing, potentially creating new branches in thermal and plasma chemistry. ResMe2E's interdisciplinary nature and comprehensive analysis, from microscale effects in dust separation to system-wide analyses, position it at the forefront of renewable energy research. The project aligns with the EU's sustainable energy goals by promoting energy independence and ecological forms of energy, contributing to the EU's aims for sustainable development.

Keywords: brayton cycle,steam gasification,mild combustion
ARtificial IntelliGence toOl for enviroNmental impact Assessment of bio-based prodUcTs (ARGONAUT)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Other Bio-environnement destinations
Action type: Research and Innovation actions
Countries involved: Greece,Germany,Slovenia,Serbia,Lithuania,Italy
Call: Digital information systems for bio-based products (HORIZON-CL6-2024-CIRCBIO-01, 2024)
Start date: 2025-01-01
End date: 2028-06-30
Duration (months): 42.0
Total project cost (EUR): 2999965.0
EU funding (EUR): 2999965.0
Participants: 9
Project status: SIGNED

The main objective of ARGONAUT is to develop an effective and easily accessible AI digital tool that accurately calculates the environmental and climate impact from bio-based products across the entire value chain (from cradle to grave) using language models from global literature based on LCA principles and allows for easy and secure tracking through a digital passport based on blockchain technology. This tool will also include a decision support tool that uses this data to map out different alternatives for the value chain and their environmental impact thereby facilitating better and more sustainable decision making. ARGONAUT will contribute to the integration of key emerging digital technologies (AI and blockchain) and an environmental assessment methodology (LCA) to create a reliable tool able to assist small and medium-sized producers to navigate the complex bio-product landscape with enough relevant information, security guarantees regarding the privacy of their data and in a user-friendly way capable of closing knowledge gaps and thereby of reaching to a wider range of producers. ARGONAUT will contribute to the implementation of the EU’s Ecodesign for Sustainable Products Regulation and allow for an accurate depiction of the environmental impact of such bio-based products thereby supporting the development of more sustainable value chains and the transition to a circular bioeconomy across the EU.

Keywords: circular economy bio based products artificial intelligence blockchain technology digital passports