Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Imminent Disease Prediction and Prevention at the Environment Host Interface (IMMEDIATE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Staying Healthy in a rapidly changing society
Action type: Research and Innovation actions
Countries involved: Germany,Poland,United Kingdom,Israel,Italy,Belgium,Croatia
Call: Personalised blueprint of chronic inflammation in health-to-disease transition (HORIZON-HLTH-2022-STAYHLTH-02, 2022)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 6221606.25
EU funding (EUR): 6221606.25
Participants: 13
Project status: SIGNED

IMMEDIATE aims to investigate and explore the diet-microbiome-immunometabolism-axis as a sensor for health-to-disease transition and evaluate strategies to maintain an individual’s well-being. Chronic inflammation is the major root of most diseases. Understanding of this process preceding organ dysfunction or damage and identification of biomarkers in the pre-symptomatic stage and risk but also resilience factors of health-to-disease transition will enable targeted and personalized interventions to prevent irreversible organ damage. Metabolites of gut microbiota are key messengers between diet, microbiota and host, maintaining the balance of pro- and anti-inflammation. Our study takes advantage of cutting-edge omics technologies available within the IMMEDIATE consortium in conjunction with available clinical data and biospecimens from ongoing observational studies, enrolling “healthy” subjects and individuals in the pre-disease stage but with largely distinct environmental and dietary modulators, including a cohort of kidney transplant recipients in whom renal function has been “reset to baseline”. The identification of clinical and omics-derived biomarkers will – by employing AI algorithms - yield a personalized risk / resilience score of chronic inflammation and thus a better prediction of an individual’s risk of transition towards disease. A proof-of-concept intervention study with the anti-inflammatory microbe Akkermansia muciniphila will be conducted to test whether deflections of the microbiome-metabolite-immune axis can be reverted on the biomarker level but also with respect to clinical outcomes and overall well-being. Mobile apps developed by the IMMEDIATE consortium in collaboration with patient organizations tracking numerous lifestyle-related measures and providing guidance and feedback on these aspects will empower individuals to adopt and integrate these knowledge-based health interventions into their own lives, hereby self-managing their own health.

Keywords: cardiovascular disease,chronic kidney disease,type 2 diabetes,brain damage,omics,metabolomics,metagenomics,single cell rna seq,single cell atac seq,digital medicine,machine learning
Quantum bits with Kitaev Transmons (QuKiT)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Challenges
Action type: EIC actions
Countries involved: Netherlands,Italy,Austria,Hungary,Spain,Germany
Call: EIC Pathfinder Challenge: Alternative approaches to Quantum Information Processing, Communication, and Sensing (HORIZON-EIC-2022-PATHFINDERCHALLENGES-01, 2022)
Start date: 2023-07-01
End date: 2027-09-30
Duration (months): 51.0
Total project cost (EUR): 4749963.75
EU funding (EUR): 4749963.75
Participants: 7
Project status: SIGNED

Most mainstream approaches to quantum computing are limited by short qubit coherence times at a level that impedes the implementation of quantum error correction. A truly viable approach to achieving fault tolerant computation, and solving socially relevant problems, thus requires inherently better qubits. In this project, we propose to realize a new type of qubit based on a hybrid between superconductors and semiconductors – two leading platforms at this time. The qubit will be engineered such that the states of this qubit are immune to most decoherence mechanisms currently limiting mainstream implementations of a quantum computer. We plan to achieve this by encoding quantum information in a topologically protected system. Such a system will be engineered by creating arrays of quantum dots with superconducting coupling (the so called Kitaev chain) in two-dimensional electron gases (2DEGs). Embedding the Kitaev chain in a transmon architecture will allow us to perform single-qubit and two-qubit operations using well-established control-techniques from the field of superconducting qubits. Combining these control elements with record long qubit coherence times we expect high gate fidelities beyond the state of the art. The choice of using the 2DEG platform naturally lends itself to scalability in the longer term, and we plan to develop a clear roadmap for future scaling within the course of the project.

Keywords: transmon qubits,topological protection,semiconductor superconductor hybrids
Mapping the Extreme Universe with deep neural networks: from simulations to Rubin-LSST data (MAPEX)

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: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Hungary,Spain,Germany
Call: Fostering balanced brain circulation – ERA Fellowships (HORIZON-WIDERA-2022-TALENTS-04, 2022)
Start date: 2023-12-01
End date: 2025-11-30
Duration (months): 24.0
Total project cost (EUR): 141782.4
EU funding (EUR): 141782.4
Participants: 3
Project status: SIGNED

The consensus ΛCDM (Lambda-Cold Dark Matter) model of cosmology has shown remarkable explanatory power over a variety of cosmic scales and epochs, and it narrates a reassuring story of a universe currently filled mostly with dark matter and dark energy. Yet, this explanation is not fully satisfactory because the actual nature of the dark components remains a puzzle. Furthermore, cosmologists have recently reported significant anomalies concerning the delicate balance of cosmic expansion and structure growth, without a compelling solution. The main objective of the MAPEX project is to reassess this far-reaching problem from a new perspective, and determine if cosmological tensions can be traced to the most extreme cosmic web environments: deep voids and dense superclusters. This EU-funded action will allow me to access unprecedented new data taken at the Vera Rubin Observatory, solidifying and broadening the Hungarian contributions to the next-generation Legacy Survey of Space and Time (LSST) project based in Chile. To go beyond the state-of-the-art, I will acquire extensive skills on machine learning techniques from expert researchers at Konkoly Observatory to combine with my groundwork results on cosmological data analysis from, above all, the Dark Energy Survey (DES). As a key innovation, I will develop deep learning models to study extreme voids and superclusters. First, I will apply convolutional neural network methods to augment traditional cross-correlations between galaxy density fluctuations and the anisotropies of the Cosmic Microwave Background. Then, I will capture the dependence of their gravitational signals on the physical properties of dark energy and dark matter. The proposed analyses of simulations and early observational LSST data will help resolve whether some as-yet unknown physical effects or systematic biases complicate the picture in cosmology. Either way we will gather fundamentally new knowledge about the Universe on the largest scales.

Keywords: cosmic voids,superclusters,deep neural network
Constraints on Non-Equilibrium fluctuations (ConNEqtions)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: France
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-08-01
End date: 2025-07-31
Duration (months): 24.0
Total project cost (EUR): 195914.88
EU funding (EUR): 195914.88
Participants: 1
Project status: CLOSED

Equilibrium statistical mechanics has provided a suitable setting to explain the thermodynamic behavior of macroscopic physical systems. Instead, much less is known about systems out of equilibrium that contribute to the vast majority of phenomena people experience everyday. In this project, "Constraints on Non-Equilibrium fluctuations" (ConNEqtions), we aim at deriving new and rigorous analytical results on the statistics of fluctuating observables in non-equilibrium processes. In particular, the emphasis will be on the thorough analysis of classical and quantum periodically driven systems, that constitute a timely and active topic of research. The first objective of the project is the generalization to periodically-driven Markov processes of the symmetry-induced fluctuation relations studied by the Researcher and his collaborators. The second objective is the generalization to the quantum domain of important results about level 2.5 large deviations, already established for classical time-periodic Markov chains. This in turn will lead to the derivation of new thermodynamic uncertainty relations in quantum systems with periodic driving. The project is built as an interdisciplinary effort, combining the physical background of the Researcher with the mathematical expertise of the Supervisor.

Keywords: fluctuation relations,thermodynamic uncertainty relations,stochastic processes,periodic driving
Plant EV farming (FarmEVs)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Staff Exchanges
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Italy,Slovenia,Finland,Mexico,Korea, Republic of,Egypt
Call: MSCA Staff Exchanges 2022 (HORIZON-MSCA-2022-SE-01, 2022)
Start date: 2024-03-01
End date: 2028-02-29
Duration (months): 48.0
Total project cost (EUR): 1105971.43
EU funding (EUR): 1021200.0
Participants: 9
Project status: SIGNED

Extracellular vesicles (EVs) are biomembrane-enclosed structures that are ubiquitously secreted by living cells. EVs, by transferring proteins, lipids, nucleic acids and other molecules to neighbouring or distant cells contribute to tissue homeostasis and have roles in many physiological and pathological processes. In this context, plant-derived vesicles started to receive attention as valid alternatives to EVs released by mammalian cell. Going beyond the state-of-the-art and relying on a highly interconnected approach, FarmEVs project will setup a vegetable-based system for the massive production of vesicles and explore them as high-value ingredients for plant and human health. This will be achieved through the isolation and engineerization of EV-like nanovesicles from organically grown crops. Plant derived-vesicles will be exploited for sustainable agriculture with the help of an organic farm in Finland and an agricultural university in Egypt. Moreover, we will setup plant cell cultures for EV farming and by applying emerging biotechnology we will develop EV-based solutions to increase the viral resistance of plants and the pro-symbiotic activities in legume crops. To achieve the goals, a multidisciplinary consortium with the participation of 8 partners from universities, research centres, an SME and an organic farm from 6 countries has been created with the integration of a broad expertise ranging from EV research, biomembrane modelling, plant genetics, plant physiology, virology, molecular farming, engineering and agriculture. This project will strengthen the already existing collaborations, create new ones and provide a solid cornerstone for further research efforts of the consortium participants after the ending of the project. An ambitious staff exchange programme for the transfer of scientific and transferable skills, dissemination and outreach activities was implemented into the scientific plan.

Keywords: extracellular vesicles,organic farming,nanovesicles,medical physics,innate immunity and inflammation,microfluidics
Optical polarization for ultrafast computing (LOOP)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Systems and Communication Engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Italy
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2025-09-01
End date: 2030-08-31
Duration (months): 60.0
Total project cost (EUR): 1499928.0
EU funding (EUR): 1499928.0
Participants: 1
Project status: SIGNED

Computing impacts every aspect of modern science and society. Von-Neumann computers are inefficient in addressing important combinatorial optimizations widespread from networks to artificial intelligence. Finding alternative paradigms to tackle these intractable problems is now vital as digital hardware approaches its ultimate performance limit. A promising strategy maps the optimization in spin models implemented on a physical setup that evolves as a spin system to the solution. This fascinating scheme has recently attracted huge interest, leading to various electronic and optical Ising machines that, however, remain challenging to scale and speed up. LOOP is an experimental proposal that aims at creating ultrafast optical hardware for combinatorial optimization by exploiting the polarization of light. The optical polarization is a new ingredient in computing that is absent in electronics. The original idea is to use the polarization as an ultrafast nonlinear oscillator that encodes the spin. We demonstrate the concept by controlling polarization bifurcation in third-order nonlinear crystals by electro-optics, enabling a low-power computing mechanism that operates at picosecond. The main goal is the realization of a polarization Ising machine that solves NP-hard optimization problems with thousands of spins in microseconds. The all-optical machine operates orders-of-magnitude faster than state-of-the-art digital and analog hardware. The scheme is fully parallel and scalable by combining polarization dynamics with spatial light modulation. Moreover, the vectorial nature of the polarization allows to surpass the binary operation of Ising machines. We exploit orbits on the Poincaré sphere to realize an ultrafast XY machine for continuous optimization, opening a new direction in optical computing. LOOP is an interdisciplinary program that spans from nonlinear optics to complex science to establish a new computing paradigm for optimization in the post-Moore’s law era.

Keywords: optical computing
Engineering of new 2D materials phases not existing in Nature (2D-ENGINE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: Digital & Emerging Technologies for Competitiveness and Fit for the Green Deal
Action type: Research and Innovation actions
Countries involved: Greece,France,Netherlands,Germany
Call: 2D materials of tomorrow (RIA) (HORIZON-CL4-2023-DIGITAL-EMERGING-01-CNECT, 2023)
Start date: 2023-10-01
End date: 2027-09-30
Duration (months): 48.0
Total project cost (EUR): 3967285.0
EU funding (EUR): 3967284.0
Participants: 7
Project status: SIGNED

2D ENGINE targets new 2D materials phases that do not exist in Nature in bulk but that can be engineered by synthetic techniques in thin film form. The new 2D phases emerge from their 3D polar parent materials with the wurtzite structure and stabilize below a critical thickness (a few ML) as a result of surface energy minimization, adopting a planar non-polar hexagonal (h) BN-like structure. The new materials exhibiting sp2 hybridization are expected to have the stability of graphene but also possess a finite energy gap that makes them useful for (opto)electronic devices. h-AlN 2D dielectric as well as h-GaN and h-SiC 2D semiconductors are targeted with the aim to fabricate functional electronic and photonic devices, first as a means to validate the quality of these materials at the highest possible level, second to show that the new 2D phases could have an impact addressing urgent needs in digital and Si photonics technologies. Moreover, 2D ENGINE aims to show new functionalities such as nanoscale ferroelectricity produced by twisted bilayer h-AlN or h-BN which can lead to ultra-low power ferroelectric tunnel junction memristors for in-memory computing. To implement the objectives, we will base our growth methodology on liquid metal catalyst (LMCat) substrates to achieve seamless merging of small islands to larger-area single crystals in the mm scale. High-sensitivity synchrotron XRD, surface analytical techniques, Raman spectroscopy and radiation-mode optical microscopy will be employed for real time (operando) monitoring of growth and for the unambiguous identification of the new 2D phases at the atomic scale supported by atomistic simulations and AI-assisted data analysis. The necessary process modules will be developed with an emphasis on robotic-arm-assisted direct separation, layer twisting and transfer in order to assemble the device layer stacks for further processing of nano-scaled 2D transistors and integrated 2D LED/waveguide systems.

Keywords: hexagonal bn like materials,h aln,h gan,liquid metal catalyst substrates,ferroelectric twisted bilayers,2d fets,2d leds,digital devices,si photonic devices
Modern Approaches to the Monitoring of BiOdiversity (MAMBO)

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: Research and Innovation actions
Countries involved: Denmark,Netherlands,United Kingdom,Germany,France,Bulgaria,Malta
Call: Data and technologies for the inventory, fast identification and monitoring of endangered wildlife and other species groups (HORIZON-CL6-2021-BIODIV-01, 2021)
Start date: 2022-09-01
End date: 2026-08-31
Duration (months): 48.0
Total project cost (EUR): 3703783.75
EU funding (EUR): 3703783.0
Participants: 10
Project status: SIGNED

EU policies, such as the EU biodiversity strategy 2030 and the Birds and Habitats Directives, demand unbiased, integrated and regularly updated biodiversity and ecosystem service data. However, efforts to monitor wildlife and other species groups are spatially and temporally fragmented, taxonomically biased, and lack integration in Europe. To bridge this gap, the MAMBO project will develop, test and implement enabling tools for monitoring conservation status and ecological requirements of species and habitats for which knowledge gaps still exist. MAMBO brings together the technical expertise of computer science, remote sensing, social science expertise on human-technology interactions, environmental economy, and citizen science, with the biological expertise on species, ecology, and conservation biology. MAMBO is built around stakeholder engagement and knowledge exchange (WP1) and the integration of new technology with existing research infrastructures (WP2). MAMBO will develop, test, and demonstrate new tools for monitoring species (WP3) and habitats (WP4) in a co-design process to create novel standards for species and habitat monitoring across the EU and beyond. MAMBO will work with stakeholders to identify user and policy needs for biodiversity monitoring and investigate the requirements for setting up a virtual lab to automate workflow deployment and efficient computing of the vast data streams (from on the ground sensors, and remote sensing) required to improve monitoring activities across Europe (WP4). Together with stakeholders, MAMBO will assess these new tools at demonstration sites distributed across Europe (WP5) to identify bottlenecks, analyze the cost-effectiveness of different tools, integrate data streams and upscale results (WP6). This will feed into the co-design of future, improved and more cost-effective monitoring schemes for species and habitats using novel technologies (WP7), and thus lead to a better management of protected sites and species.

Keywords: automated monitoring,biodiversity monitoring,citizen science,computer vision,deep learning,habitat condition,machine listening,remote sensing,species,threatened species
Enhanced quantum resilience through twists (QUANTWIST)

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: Germany
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2023-03-01
End date: 2028-02-29
Duration (months): 60.0
Total project cost (EUR): 1458688.0
EU funding (EUR): 1458688.0
Participants: 1
Project status: SIGNED

Quantum technology will revolutionize information transmission, processing, and sensing with unprecedented potential for science, economy, and the society as a whole. Yet, the strong sensitivity of quantum systems to unavoidable environmental noise impedes quantum technological breakthroughs. Here, we propose to twist coupled elemental quantum systems such that they form a global, robust quantum state that is resilient against environmental perturbations. For instance, in magnetic spin chains, fixing the magnetization at one end while rotating the magnetization at the other end can result in stable quantum helices. Such quantum twists cannot easily be unwound: They exhibit topological protection. We want to explore the full potential of this concept and extend it to higher-dimensional twists including vortices and skyrmions, see Fig. (1). The main objectives of this project are to (1) theoretically describe quantum twists in chains and arrays of atoms; (2) identify concrete realizations in cold atoms and solid state systems; (3) supply a general theory for quantum twists and connect it to topological models in high-energy physics; (4) designing and implementing an on-top error-reduction scheme for quantum information processing. The presented approach is unrelated to known quantum-mechanical topological approaches in electronic and magnetic systems that rely on momentum space, adiabatic manipulations, or globally indistinguishable quantum states. Quantum twists can serve as a topological source of entanglement, quantum energy storage, and establish an independent and versatile noise-protection mechanism for future quantum devices.

Keywords: topology,helices,skyrmions,quantum information,quantum technology,quantum computing,quantum magnetism,topological quasiparticles