Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Effective Field Theories to understand and predict the Nature of the XYZ Exotic Hadrons (EFT-XYZ)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced 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 ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2024-09-01
End date: 2029-08-31
Duration (months): 60.0
Total project cost (EUR): 2312500.0
EU funding (EUR): 2312500.0
Participants: 1
Project status: SIGNED

Two decades ago, the eld of strongly interacting particles entered a golden age with the discovery of exotic hadrons labeled as XYZs. The breakthrough fueled a surge in experimental research, uncovering dozens of states that appear to lie outside the conventional quark model, although some still require experimental conrmation. The plethora of new states has sparked intense theoretical investigations into new forms of matter, such as quark-gluon hybrids, mesonic molecules, and tetraquarks, making it one of the most signicant open problems in particle physics. Despite the progress, unresolved patterns of masses, decays, and transitions above open-avor thresholds persist and have deepened the mystery surrounding these exotics. The intriguing details of production and suppression observed in heavy ion collisions elevated the importance of these studies to probe their nature. With EFT-XYZ I intend to develop for the rst time, a comprehensive and unied description of these exotics rooted in quantum eld theory, going beyond existing models. On the basis of scales separation, I construct a general nonrelativistic effective eld theory treatment. Scale factorization introduces systematicity and simplicity allowing model independent predictions. The dynamics contained in the nonperturbative low energy correlators is addressed with new and tailored lattice QCD computational tools. By using an open quantum system framework and lattice QCD input, the effective eld theory can describe the XYZ production in heavy ion collisions. EFT-XYZ is poised to make breakthroughs in calculating the properties, dynamics, and interactions of the XYZ in various environments. It holds the promise to unravel the nature of these new states having impact on both experiments and our understanding of strongly correlated systems, with interdisciplinary implications to other elds. EFT-XYZ success is related to the recent advancement in the aforementioned elds in which I played a pivotal role.

Keywords: qcd,strong interactions,effective field theories,nrqcd,nonrelativistic effective field theories,quarkonium,exotics xyz particles,lattice qcd,hadrons,quarkonium in medium,nonequilibrium evolution in a hot qcd medium,open quantum systems and linblad equation
Unravelling the Evolution of Complexes with Ancestral Sequence Reconstruction (EVOCATION)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Molecules of Life: B iological  Mechanisms , Structures  and Functions
Panel description: For all organisms : Molecular biology , biochemistry, structural biology, molecular biophysics , synthetic and chemical biology, drug design, innovative methods and modelling
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-05-01
End date: 2027-04-30
Duration (months): 60.0
Total project cost (EUR): 1485013.0
EU funding (EUR): 1485013.0
Participants: 2
Project status: SIGNED

Almost all proteins perform their functions as part of protein complexes. These assemblies are intricate and often beautiful examples of evolution?s capacity to generate complexity. But are they built by natural selection? My recent work has revealed that they may in fact be produced and maintained across vast time scales by neutral processes, even if they provide no adaptive benefit at all. In this proposal, I will test this radical idea by bringing together ancestral sequence reconstruction and quantitative biochemistry of protein complexes. I will use this approach to experimentally unravel the evolutionary processes that generate and maintain biochemical complexity in three model systems that exemplify archetypical protein-protein interactions: In the first objective, I will unravel what drives the evolutionary gain and loss of homomeric interactions. I will recapitulate how the universally conserved enzyme citrate synthase repeatedly underwent changes in self-assembly state. I will test if these changes were adaptive or whether they result from new interfaces being highly evolvable. In the second objective, I will probe why protein complexes evolve to depend on transient interactions with folding and assembly chaperones. I will retrace how the CO2 fixing enzyme RubisCO acquired a set of dedicated assembly and folding chaperones. I will unravel whether the initial gain of new chaperone interactions was useful and determine what later caused RubisCO to start completely depending on them. In the third objective, I will unravel if many of the interactions between different complexes are caused by neutral evolution. I will use a new experimental approach in yeast to quantify the rate at which complexes gain interactions with the rest of the proteome by chance alone. Together, these experiments will show for the first time how adaptive evolution and neutral processes interacted to produce the intricate biochemical complexity we see inside cells today.

Keywords: protein evolution,ancestral sequence reconstruction
VISUALIZACIÓN DE BIOPOTENCIALES PARA EQUIPOS CARDIOLÓGICOS (VR-CARDIO)

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: Spain
Call: EIC Accelerator Open 2021 (HORIZON-EIC-2021-ACCELERATOROPEN-01, 2021)
Start date: 2022-09-01
End date: 2025-06-30
Duration (months): 34.0
Total project cost (EUR): 3589741.25
EU funding (EUR): 2499999.0
Participants: 1
Project status: CLOSED

VR-CARDIO is a unique medical tool for visualization and diagnosis of arrhythmia. The arrhythmia is an alteration of the heart rhythm. It occurs when the electrical impulses that coordinate the beats do not work properly. VR-CARDIO allows a reliable and validated estimation of electrocardiogram cardiac and transmembrane action potentials that allow detecting with absolute precision the origin and mechanism of heart disease. Instead of using only electrocardiograms captured by catheters, as they do with current Cardiac Navigation Systems (CNS), VR CARDIO enables a revolutionary bioelectrical navigation of the cardiac system in a precise and safe way, in the entire volume of the cardiac cavity, allowing the cardiac ablation process to be infinitely faster, because the electrophysiologist is constantly watching the development of the impulse electric throughout the heart, due to its 360º visualization in augmented reality (AR) and / or virtual reality (VR).

Keywords: arrhythmias,heart disease,covid effects
High Coast to West Coast Hydrogen Valley (HiWhyV)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Public-private partnerships
Destination: Clean Hydrogen
Action type: Innovation actions
Partnership: CLEANH2 (JU-JTI)
Countries involved: Sweden,Norway,France,Spain,Greece,Germany
Call: Large-scale Hydrogen Valley (HORIZON-JU-CLEANH2-2025, 2025)
Start date: 2026-01-01
End date: 2031-12-31
Duration (months): 72.0
Total project cost (EUR): 24697003.63
EU funding (EUR): 19839923.2
Participants: 51
Project status: SIGNED

HiWHyV will establish Sweden’s first large-scale hydrogen valley by connecting two complementary regional hubs: the West Coast Hydrogen Hub, home to the country’s largest hydrogen demand and industrial infrastructure, and the High Coast Hydrogen Hub, one of Europe’s most favourable regions for renewable hydrogen production. Together, these hubs form a dual hydrogen valley model that integrates production, conversion, storage, transport, and end-use across multiple sectors, including industry, transport, and energy. HiWHYV deploys 994 MW of electrolysis capacity across nine hydrogen nodes, producing up to 132,000 tonnes of renewable hydrogen annually. Applications include e-fuels (e-SAF and e-methanol), green fertilisers, and hydrogen-based mobility and backup power. Industrial symbiosis will be demonstrated through the reuse of residual oxygen and waste heat in aquaculture and district heating, enhancing system efficiency and sustainability. HiWHyV showcases full hydrogen value chains at commercial scale, integrating multiple technologies and use cases, and pioneering a demand-led, regionally adapted deployment strategy. The project also supports replication across Europe, with dedicated actions in three follower regions (Germany, Spain, and Greece), and the development of digital tools, policy recommendations, and a whitebook to guide future hydrogen valleys. In parallel, HiWHyV embeds systemic enablers for long-term impact, including governance alignment, infrastructure planning, public engagement, skills development, and energy system modelling. Through its Transition Arena, the project fosters co-creation among stakeholders from industry, government, academia, and civil society. Contributing directly to the objectives of the Clean Hydrogen JU, REPowerEU, and the Green Deal, HiWHyV will strengthen Sweden’s position in the European hydrogen economy and serve as a blueprint for scalable, integrated, and resilient hydrogen ecosystems across EU.

Keywords: rfnbo hydrogen,h2 value chain,co creation,quadruple helix,replication,hydrogen valley,energy system integration,renewable energy,grid flexibility,sector coupling,decarbonisation
Education and Nature-Based Solutions: enable society to bend the curve for biodiversity (eNaBlS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Biodiversity and Ecosystem Services
Action type: Coordination and support actions
Countries involved: Germany,Netherlands,Finland,Austria,Lithuania,Belgium,Greece,Czechia
Call: Addressing biodiversity decline and promoting Nature-based Solutions in higher education (HORIZON-CL6-2023-BIODIV-01, 2023)
Start date: 2024-01-01
End date: 2026-12-31
Duration (months): 36.0
Total project cost (EUR): 3199280.56
EU funding (EUR): 2951847.33
Participants: 11
Project status: SIGNED

In response to the increasing need for cooperation in learning and skills/capacity development for environmental sustainability, including biodiversity and Nature-based Solutions (NBS) learning and teaching, eNaBlS will set the basis of networking and collaboration with a view to promoting transdisciplinary dialogue and further embedding and unfolding NBS concepts and approaches within universities and vocational schools, the professional sphere and society at large. eNaBlS envisions the creation of 7 Living Labs (DE, NL, FI, AT, LT, GR, CZ) to epitomise an integrative approach that includes all ‘voices’ and leaves no one behind. Collecting a variety of input and welcoming a plurality of values and knowledge, the goal is to mainstream biodiversity and NBS in higher education and TVET (Technical and Vocational Education & Training) by developing and upscaling new forms of teaching, learning and capacity-building that are more relational, systems-oriented and applied. This should be achieved through multi-actor collaboration and a whole institution approach (WIA) – universities become their own Living Labs – that spans the curricula, pedagogy and didactics, professional development, institutional practices school/university-community relationships and institutional ethos, vision and leadership. Doing so implies working together across silos, sectors and epistemologies as well as a paradigm shift in education and the development of sustainability competencies. The ultimate objective is for eNaBlS to contribute more generally to i) the advancement of a Nature Positive society through the necessary transformative change of communities, business models and lifestyles, and, specifically, ii) put biodiversity and climate on the path to recovery responding to the objectives of the EU biodiversity strategy for 2030 and the EU climate adaptation strategy.

Keywords: whole institution approach,living labs,tvet programmes,vocational teachers guides,university curricula,
Novel Approaches to Error Detection and Protection with Superconducting Qubits (NovaDePro)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Condensed Matter Physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Denmark
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-04-01
End date: 2028-03-31
Duration (months): 60.0
Total project cost (EUR): 1454635.0
EU funding (EUR): 1454635.0
Participants: 1
Project status: SIGNED

Superconducting qubits have emerged as a leading platform for realizing intermediate- and large-scale quantum computing and quantum simulation. This success has been due to the exceedingly wide range of qubit encodings and rich physics attainable by combining superconducting circuit elements to achieve high coherence qubits and high fidelity quantum operations. In this project, I will demonstrate novel approaches to two central aspects of the future of superconducting quantum computing. 1) Despite the dramatic scaling in the number of qubits, the fundamental workhorse to implementing quantum algorithms and quantum error correction is still two-qubit interactions. 2) There has recently been a large interest in novel so-called 'protected qubit encodings' for high coherence, but none have yet been competitive with standard 'non-protected' qubits. The main results of NovaDePro will be -Implementation of a novel qubit-qubit coupling mechanism enabling fast microwave-activated multi-qubit gates. -Demonstration of the first single-shot high-fidelity four-qubit gate and parity readout, enabled by the new coupling technique, in a surface code quantum error correction layout. -A new approach to hybrid superconductor/semiconductor Josephson junctions with high stability (as demonstrated in our recent experiments) and coherence properties compatible with state-of-the-art superconducting qubits. -The first demonstration of superconducting circuits that combine standard insulator-based and hybrid superconductor/semiconductor-based Josephson junctions to implement new high-coherence protected qubit encodings and straightforward quantum control schemes. These achievements will push the boundaries of superconducting quantum computing by opening a new path for high-fidelity error correction in intermediate- and large-scale quantum computing and demonstrate a new family of high coherence protected qubits in a first-of-its-kind hybrid quantum circuit.

Keywords: superconducting quantum computing,experimental quantum computing,quantum error correction,novel qubits
A combined diagnostic and targeted gene therapy platform for brain tumor relapse (Soxradicate Relapse)

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: Sweden
Call: ERC PROOF OF CONCEPT GRANTS1 (ERC-2022-POC1, 2022)
Start date: 2022-09-01
End date: 2024-02-29
Duration (months): 18.0
Total project cost (EUR): 167142.86
EU funding (EUR): 150000.0
Participants: 2
Project status: CLOSED

Emergence of therapy resistance is a major cause of death following conventional chemotherapy and radiation for children and adults with malignant brain tumors. It is imperative to find novel options to target therapy-resistant brain tumor populations to save lives. We propose a novel platform providing a prognostic tool and a suicide gene therapy tool using engineered viruses. It involves targeting freshly biopsied cells from brain tumor patients with our strategy in combination with standard therapy to predict risk of patients developing relapse and a gene therapy suicide tool to remove cells causing relapse. Previous suicide gene therapies have only used viruses hitting dividing tumor cells. Our strategy will use an enigneered virus targeting non-dividing tumor cells that we know escape standard therapy. After removing the tumor bulk using standard treatment, we propose to use our virus with a marker for diagnostic purposes or a with a suicide gene that will be activated by a prodrug to eradicate therapy-resistant cells. Prodrug administration before recurrence will eliminate relapsed cells once they start dividing and become dangerous. The impact of our strategy will be high, providing health care professionals with a better tool to identify patients at high risk of developing recurrence. Such patients can receive a better, more tailored treatment that will not only increase their chance of survival but also reduce their time under hospital care and rehabilitation. We protected our strategy with a filed patent and assessed our regulatory needs. We completed a market analysis to evaluate market size and potential benefit for cancer patients. We have disclosed competitors but also potential collaborators that can cofinance and move our strategy forward to in vitro diagnostic device registration and initial clinical trials. In our proposal we will apply for funding covering lab work to test efficacy and safety, help with registration and negotitation strategies.
Mapping Literary Representations of Coercive Confinement in Ireland, from the Mid-nineteenth Century to the Present (CONFINED)

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: Ireland
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-09-01
End date: 2024-08-31
Duration (months): 24.0
Total project cost (EUR): 215534.4
EU funding (EUR): 215534.4
Participants: 2
Project status: CLOSED

The main research objective of CONFINED is to define the ways in which literary representations of coercive confinement contribute to Irish national memory. The project focuses on Irish literary representations of coercive confinement from the mid-nineteenth century to the present under the supervision of Prof. Emilie Pine. Its outputs will include a peer-reviewed article in a leading interdisciplinary journal, a digital exhibition on coercive confinement, a podcast on confinement as well as a monograph proposal submitted to a leading university press by the end of the fellowship. These outputs will be enriched by access to unique archival holdings in UCD Library, the National Library of Ireland and RTÉ Archives. I will develop research-specific skills learned via training-through-research in collaboration with experts at UCD; transferable skills developed through hands-on training courses at UCD; and inter-sectoral skills gained through prestigious collaborations with Raidió Teilifís Éireann (RTÉ) and the Museum of Literature Ireland (MoLI). While undertaking a short visit at MoLI, I will host an online conference on Writing Coercive Confinement as well as a workshop with key stakeholders and policy-makers. I will apply for a COST Action Network on Writing Coercive Confinement, strengthening and expanding my networks as well as building towards an ERC Starting Grant application in the immediate aftermath of the fellowship.

Keywords: coercive confinement cultural memory ireland literature prison asylum magdalene laundry industrial school borstal mother and baby home direct provision prose theatre poetry media
Artificial agency and learning in quantum environments (QuantAI)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Fundamental Constituents of Matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Austria
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2022-10-01
End date: 2027-09-30
Duration (months): 60.0
Total project cost (EUR): 2472435.0
EU funding (EUR): 2472435.0
Participants: 1
Project status: SIGNED

Quantum mechanics is our most fundamental theory of physics. It has formed, and often challenged, our understanding of physical reality. We use quantum mechanics to manipulate and control matter and light at the atomic scale, and it provides the basis for many new technologies. At the same time, the rise of artificial intelligence (AI) and machine learning (ML) is gaining momentum in science and basic research. ML is already employed in different areas of physics, mostly for big data processing and classification. But the development of AI is heading much further and is likely to transform basic science in the near future. In this project, we will investigate the use of AI in basic science, with a focus on quantum physics and, more specifically, quantum information. We will develop models of artificial agency which are beneficial for basic research, both from a practical and a foundational perspective. We will develop classical artificial learning agents that can be used, e.g., for adaptive schemes of quantum error correction and integrated in large-scale quantum computing architectures, the design of complex quantum communication networks, and the study of novel computational phases of matter. The models of learning agents that we develop will facilitate applications towards AI-driven quantum experiment and scientific discovery. Our focus will be on transparent and interpretable models for artificial agency that are beneficial if not needed for basic science. These models can be used in future hybrid laboratories where human researchers will interact with AI assistant systems. On the foundational side, we will investigate quantum agents and the role of agency in quantum theory. These investigations will shed light not only on the possible ways of learning in a quantum environment, but also on the physical dimension of AI, the explainability of quantum AI, and the consistency of quantum theory.

Keywords: quantum machine learning,learning agents,quantum foundations,quantum ai,quantum computing