Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Resilient CLIMATE Financing and Investment Taskforces (CLIMATEFIT)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Mission
Theme: Adaptation to climate change
Destination: Adaptation to climate change
Action type: Research and Innovation actions
Countries involved: Denmark,Sweden,France,Czechia,Italy,Slovenia,Portugal,Romania,Spain,Belgium,United Kingdom,Germany
Call: Unlocking of financial resources for investments into climate resilience (HORIZON-MISS-2022-CLIMA-01, 2022)
Start date: 2023-09-01
End date: 2026-12-31
Duration (months): 40.0
Total project cost (EUR): 5760510.0
EU funding (EUR): 5760510.0
Participants: 32
Project status: SIGNED

Urgent accelerated action is required to adapt to unavoidable and ongoing climate change. Climate-resilient investments must be substantially scaled up. Public budgets will not be able to address the adaptation financing challenge alone, financing from the private sector will also be necessary. CLIMATEFIT contributes to bridging the resilience financing gap by providing critical insight and building the capacities of Public Authorities (PAs) to attract and orchestrate various public and private funding & financing sources, and of Financing and Investment Entities (FIEs) to discover and access resilient investment opportunities. CLIMATEFIT will experiment on a mix of 20 territories in Southern, Eastern and Northwestern Europe in their transformational pathways towards climate resilience. The journey will start by taking stock of funding & financing barriers and enablers gathered in the Financing Landscape taxonomy. CLIMATEFIT will create an ingenious Manual for leveraging finance to, 1) co-design 20 innovative investment strategies allowing to identify sources of funding 2) develop 10 credible and scalable investment plans to help better negotiate and articulate financing streams and define investment concepts, and 3) pilot 4 bankable, tailored investment cases. CLIMATEFIT will build a Pathway for FIEs to accelerate finance, test refined methods to reward climate-resilient investment and apply smart adaptation funding and financing solutions. It will establish Local Resilience Taskforces (LRTs) composed of PAs and FIEs that propose a catalytic and systemic approach to resilience financing. Led by WCF, the high-level consortium will build capacity, co-create solutions with PAs and FIEs, and inform EU adaptation and sustainable finance policies. Finally, CLIMATEFIT aims to boost resilience financing in Europe by consolidating the dynamics in LRTs, and to promote and scale its research findings through the European Network of LRTs and its user-oriented One-Stop Shop.

Keywords: climate resilience,financing,investments,funding,public authorities
Cost-effective processing and refining of lithium into lithium hydroxide from strategic European multi-mineral lithium hard-rock projects (LITHOS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Increased Autonomy in Key Strategic Value Chains for Resilient Industry
Action type: Innovation actions
Countries involved: Finland,Belgium,France,Greece,Portugal
Call: Technologies for processing and refining of critical raw materials (IA) (HORIZON-CL4-2023-RESILIENCE-01, 2023)
Start date: 2024-01-01
End date: 2027-06-30
Duration (months): 42.0
Total project cost (EUR): 7939426.75
EU funding (EUR): 7142899.0
Participants: 10
Project status: SIGNED

On 16 March 2023 the EC published the Critical Raw Materials Act (CRMA) setting “benchmarks along the strategic raw materials value chain and for the diversification of EU supplies”. By targeting the domestic processing and refining of lithium – arguably “the most strategic CRM”– LITHOS directly contributes to the 1st and 2nd CRMA benchmarks (10% domestic extraction; 40% domestic processing). LITHOS processes and refines the ores from three “Strategic Projects” in terms of domestic battery-grade LiOH·H2O production: two spodumene-bearing pegmatite cases (Keliber’s deposits in the Kaustinen region, Finland; Savannah’s Barroso Lithium Project, Portugal) and one Rare-Metal Granite (RMG) case (Imerys’ Beauvoir mine in France). LITHOS expands and tailors the existing Keliber & M:O flowsheet, which was developed for regular-grade spodumene ores, so that (1) the cut-off grade for spodumene ores is reduced, resulting in larger Li reserves, while (2) allowing the commercialisation of lower-grade pegmatite and RMG deposits. LITHOS triggers innovations along the value chain – mineral processing, concentrate pre-treatment & hydrometallurgical refining – making it possible to deal with different levels and types of impurities in non-spodumene Li minerals (lepidolite & petalite). LITHOS gives specific attention to closed-loop water systems in the mineral processing (KPI: 90% less water consumption). The overall CO2 emissions of the LITHOS flowsheet will be 50% lower than today’s benchmark (production of spodumene concentrate in Australia & refining in China). This work is enriched by bespoke thermodynamic modelling and digital twins. Supported by FMG & Euromines, LITHOS intends to replicate the LITHOS “responsible mining and refining” concept to the other 24 identified Li-hard-rock deposits in Europe. LITHOS’s meta-objective is to unleash Europe’s full Li-hard-rock ore potential (total: 8.8 Mt Li2O) so as to become self-sufficient by 2030–35 in terms of made-in-Europe LiOH·H2O.

Keywords: critical raw materials,lithium hydroxide,li hard rock ore,lower grade pegmatite and rmg deposits,mineral processing,metallurgy,metallurgical process,upscaling and piloting
The Early Exploitation of Cetacean in Western Europe during the Late Upper Palaeolithic (WHALEBONE)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Spain,United Kingdom
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 2
Project status: SIGNED

The Whalebone project builds upon new advances in the study of past human adaptations to coastal environments, focusing on a key case study: early interactions between Late Upper Palaeolithic foragers and cetaceans at the end of the Last Glaciation in Western Europe. Over the last decade, a growing body of evidence suggests that the exploitation of whales could have been one of the significant factors underlying the development of early coastal economies during the Magdalenian culture, between 18,000 to 15,000 years ago. The recent identification of 54 whale bone artefacts in the Cantabrian region (northern Spain) during the previous postdoctoral research of the PR, to which can be added the 109 previously known Pyrenean examples, revealed the existence of regular and structured communication networks for the long-distance circulation of these marine resources. However, these studies focused only on the Bay of Biscay and it is still unclear whether this phenomenon was a strictly local adaptation or was part of a wider, shared coastal economy connecting different parts of Europe. To test this hypothesis, Whalebone proposes to identify cetacean bone objects outside the Pyreneo-Cantabrian region, focusing on the Spanish coasts. As many Magdalenian sites are close to the paleo-shorelines that yielded rich osseous industries, the Mediterranean coast is a particularly crucial area of investigation. Direct (dolphin bones) and indirect (whale barnacles) evidence for the exploitation of cetaceans in its southern part confirms the early interest and management of marine mammals. A multi-proxy approach beyond traditional zooarchaeology, including the first use of an innovative ancient proteomic technology (ZooMS), together with a minimally invasive dating program of cetacean bone objects, will be undertaken by Whalebone in order to address long-standing questions about long-term forager mobility patterns, regional interactions and coastal adaptations on a European scale.

Keywords: north atlantic,southwestern europe,late upper palaeolithic,magdalenian culture,osseous technology,coastal adaptations,early marine mammal exploitation,communication networks
Single-atom decorated 2D catalysts for power-to-X conversion and sustainable future (P2XSACat)

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: Germany
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-11-15
End date: 2025-08-14
Duration (months): 21.0
Total project cost (EUR): 165976.44
EU funding (EUR): 165976.44
Participants: 1
Project status: SIGNED

High efficient Power-to-X technologies such as hydrogen production by water splitting, the electrocatalytic reduction reaction of carbon dioxide to fuels, and nitrogen reduction to ammonia are the cornerstones for building sustainable future energy and economy. P2X technologies are a direct tool for achieving carbon neutrality and reducing the negative effects of anthropogenic climate change, as well as, dramatically reducing the role of fossil fuels in energy and industry, making it impossible to use the fossil fuels supply as an instrument of political pressure. The Proposed project is aimed at the development and complex study of the electro- and photo-electro active materials based on single-atom-modified 2D flakes of MXenes and MBenes, aimed at significant improvement of the energy efficiency of Power-to-X technologies. Optimization of the composition and structure of catalytic sites, including the simultaneous decoration of material by two or several atoms of different elements, controlled by electrochemical atomic-force spectroscopy will be used for the preparation of efficient catalytic materials with outstanding properties. Novel methods of decorating 2D materials by laser and microwave exposure, as well as, general patterns of controlling the catalytic MXenes and MBenes activity by SA (SA ensemble) structure will be also developed.

Keywords: mxene,mbene,single atom site,carbon dioxide reduction reaction,nitrogen reduction reaction,oxygen reduction reaction
Unlocking the Full Potential of Edge AI through In-memory Computing Based on 2D Materials with Extreme Energy Efficiency (CERBERUS)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Challenges
Action type: EIC actions
Countries involved: Spain,Sweden,Germany,Switzerland
Call: Nanoelectronics for energy-efficient smart edge devices (HORIZON-EIC-2024-PATHFINDERCHALLENGES-01, 2024)
Start date: 2026-02-01
End date: 2030-01-31
Duration (months): 48.0
Total project cost (EUR): 3997743.75
EU funding (EUR): 3997743.75
Participants: 6
Project status: SIGNED

The introduction of the on-device AI paradigm in edge computing could bring significant benefits and enable a plethora of exciting applications in AR/VR gear, industrial automation devices, drones, 5G/6G base stations or autonomous vehicles. However, AI is well-known to be generally power hungry and edge devices are not able to withstand the computational requirements of emerging AI workloads. Therefore, energy efficiency is closing the door important breakthroughs across industries such as ICT, mobility, healthcare, agri-food, industrial automation, leaving an enormous untapped potential behind. To remedy this, academia and industry have proposed in-memory computing (IMC) and the associated non-Von Neumann architectures as a means to dramatically improve the efficiency of AI processing; yet the promise of the IMC paradigm is limited by non-idealities within and around the IMC tiles. In this light, the CERBERUS project aims to take a radical step forward in the field of IMC by addressing the fundamental efficiency bottlenecks that prevent edge computing stakeholders from unleashing the full potential of this technology. To this end, CERBERUS will employ a three-pillar approach grounded on (i) 2× more efficient memristive devices, (ii) 30% more efficient peripheral circuits also allowing to bypass domain conversions, and (iii) 70% more effective heat dissipation devices to virtually eliminate thermal noise. Thanks to a deeply cross-layer simulation approach integrating models of the developed devices and circuits, our ultimate goal is to show that 3X better energy efficiency can be achieved at the system level for modern and emerging edge AI computing workloads, towards the vision of deploying sizable AI models in virtually any device, even at the extreme edge.

Keywords: in memory computing,edge ai,mos2,hbn,graphene,cross layer methodology
Micro-Scale Photonic Trace Gas Sensor (sCENT2)

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: Norway
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2023-POC, 2023)
Start date: 2024-04-01
End date: 2025-09-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

The demand for highly sensitive trace gas detection down to part-per-billion (ppb) levels and exceptional selectivity is paramount across various fields, including environmental monitoring, industrial process control, and healthcare. Currently, such capabilities are only accessible through bulky and expensive high-end sensors, limiting their use primarily to research settings. However, the ERC Starting Grant project sCENT has recently achieved a significant breakthrough by demonstrating the first chip-scale sensor capable of ppb-level detection and selectivity equivalent to that of high-end instruments. These sensors merge the strengths of high-end commercial spectroscopic systems, offering sensitivity, selectivity, isotope detection capability, and long-term stability, while also being compact, lightweight, and requiring only microlitre sample volumes. This success was possible due to a pioneering waveguide design supporting air-like modes, demonstrated within the ERC Starting Grant sCENT. The current project aims to explore the disruptive innovation potential of the sCENT sensor concept, advancing it from a proof-of-concept to the next level of technological readiness. This entails (i) the development of a prototype module and (ii) its real-life application demonstration to study the metabolic emissions of methane-consuming bacteria native to permafrost soils. Additionally, the project encompasses crucial aspects such as IP protection management, monitoring target markets (primarily environmental intelligence), and designing a technology roadmap for the sensor's exploitation. Outreach activities are meticulously planned to promote the sensors to potential commercial partners, end-users, and stakeholders. The overarching vision for the sCENT sensor is to unlock new opportunities for large-scale in-situ gas monitoring with unparalleled data density, ultimately enhancing our capabilities for environmental intelligence in the face of our evolving climate.
Collective advisory assemblies (CAAs) as a socially innovative methodology to support and empower people affected by energy poverty (EmpowerTOOL)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EU prize
Destination: European Social Innovation Competition
Action type: Recognition Prize
Countries involved: Slovenia,Spain,Germany,France,Albania,Italy,Croatia
Call: The European Social Innovation Competition 2023 (HORIZON-EIC-2023-EUSIC-PRIZES-04, 2023)
Total project cost (EUR): 0.0
EU funding (EUR): 0.0
Participants: 9
Project status: SIGNED

Collective advisory assemblies (CAAs) are an innovative, flexible, impactful, ready-to-use tool applicable for addressing various forms and levels of energy poverty. CAAs take the form of sessions typically gathering 10 to 30 people and open to anyone who is experiencing difficulties in relation to the access and affordability of domestic energy services, e.g., unsuitable high energy bills, inadequate tariffs or supply contract, late payment or indebtedness with providers, or health issues related to energy poverty. CAAs stand out as a community tool in which a group of people with similar energy poverty conditions share concerns and grievances in a safe and trusted space and where practical solutions are co-created through collective intelligence. Unlike individualised approaches based on one-on-one interventions CAAs constitute a horizontal engagement methodology in which people affected by energy poverty act ‘experts by practice’ capable of providing advanced peer-to-peer advice and guidance. The support provided is non-invasive, helps affected people reclaim their dignity, and opens the door for new forms of ‘energy citizenship’ that allow the participation of traditionally excluded segments of consumers into energy decision-making. Over 300 CAAs have been organized across Europe since the methodology was initially devised in Barcelona (Spain) in 2014, and its viability has been further confirmed by the Horizon 2020 EmpowerMed project, which enabled its replication in France, Italy, Slovenia, Croatia and Albania. The experience accumulated so far provides solid evidence on the positive impacts for vulnerable households in terms of cost savings, debt reduction, consumer empowerment and change of social imaginaries on energy poverty. Its scalability and replicability are ensured because CAAs are an inexpensive support, cost-efficient tool, have low-entry material and financial requirements, and allow a great degree of flexibility in their implementation.

Keywords: energy poverty,empowerment,energy,community,peer to peer
Materials map for microstructures of inorganic materials (SPECIALS)

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: Sweden
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-08-01
End date: 2027-07-31
Duration (months): 24.0
Total project cost (EUR): 236340.0
EU funding (EUR): 236340.0
Participants: 1
Project status: SIGNED

Machine learning (ML) is an emerging tool to accelerate the materials discovery, a crucial part of the global competitiveness of Europe. Conventional materials discovery has been based on voyages of chemists and materials scientists in the materials space. They have navigated themselves according to their experience-based maps in their brains to find novel materials from innumerable candidate materials. Then, how can novice researchers navigate themselves? The project SPECIALS (materialS maP for microstructurEs of inorganiC materIALS) will provide a map by leveraging expertise of the host and the experienced researcher (ER): inorganic chemistry, physical chemistry, and computer science. The project approach is distinct from the conventional ML approaches: the ER will focus on microstructures of target materials, because functionalities of the inorganic materials are microstructure-dependent. The target materials are battery materials considering the experiences of the ER. The map will be developed by ML to describe their structural changes upon charge and discharge in continuous manners so that novice researchers can easily compare similarities/dissimilarities of various materials. Required datasets will be provided by the host utilizing existing simulation results and new simulation to cover even amorphous structures. Because the simulation of microstructures is computation intensive, multi-fidelity methods will be applied to leverage various types of simulations at varying computational cost and accuracies. The research outcome has potential to be grown up to scientific and societal impact on the European battery research community. The project also focuses on the two-way transfer of knowledge by transferring data science knowledge of the ER to the host, and simulation and soft skills of the host to the ER. This two-way transfer will enhance the employability of the ER and the value of the host.
Random Matrix and Integrable Systems (RaMaInS)

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: Mathematics
Countries involved: France
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 195914.88
EU funding (EUR): 195914.88
Participants: 2
Project status: CLOSED

The main topic of this proposal is the study of the Statistical Mechanics of Integrable systems, a particular class of dynamical systems for which the behaviour is fully predictable from the initial data. All relevant information about the dynamics is encoded in a particular matrix L, called Lax matrix. We want to compute the maximum amplitude for the solution of the Ablowitz-Laddik lattice, and the correlation functions for the Volterra lattice, and the Exponential Toda one. The first quantity is instrumental to study the phenomenon of rouge waves formations, and the second one to compute transport coefficients of specific lattices. To compute these quantities, we need to obtain the distribution and the fluctuations of the eigenvalues of the Lax matrix when the initial data are sample according to a Generalized Gibbs Ensemble, thus the Lax matrix becomes a random matrix. To study these objects, we use Large Deviations principles. Furthermore, we also considered the focusing Ablowitz--Laddik lattice, the focusing Schur flow, and the family of Itoh--Narita--Bogoyavleskii lattices. The eigenvalues of the Lax matrices of these systems, when the initial data is sample according to a Generalized Gibbs Ensemble, lay on the complex plane. We plan to compute the density of states, and the joint eigenvalues distribution of the random Lax matrices by using the Inverse Scattering Transform, that is a canonical transformation between the physical variables and the spectral variables of the Lax matrices, the Hermitization technique and the Brown measure characterization. In the end, thanks to this analysis, we will be able to define some new random matrix ensembles on the complex plane, for which it is possible to compute the eigenvalues’ distribution, and the joint eigenvalues’ density explicitly. So, we will define some new beta-ensembles.

Keywords: integrable systems,random matrix theory,fluctuations