Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Terahertz ultra-massive multiple-input multiple-output systems (THz UM-MIMO)

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: Sweden
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-08-18
End date: 2028-08-17
Duration (months): 24.0
Total project cost (EUR): 252180.0
EU funding (EUR): 252180.0
Participants: 1
Project status: SIGNED

As the deployment of 5G networks expands into the millimeter-wave band, potentially reaching data speeds of 100 Gbps, the future of 6G networks is expected to leverage the terahertz (THz) frequency bands for even higher data transmission rates surpassing the 1 Tbps threshold. In this fellowship, under the supervision of Prof. Emil Björnson at the KTH Royal Institute of Technology, Sweden, the researcher, Boyu Ning, will focus on developing a new THz ultra-massive multiple-input multiple-output (UM-MIMO) paradigm and efficient algorithms for channel estimation, user localization, and data transmission, to achieve a complete way to operate the physical layer in THz UM-MIMO. With a dedicated research focus on THz communications over the past five years, Boyu Ning has established myself as a prominent doctoral candidate in this field, publishing over 50 top-tier IEEE journal and conference papers. Prof. Emil Björnson (IEEE Fellow) has performed MIMO research since 2006, with more than 31000 citations and more than 30 patent applications. The integration of THz technology and MIMO methodologies stands as a pivotal juncture in advancing THz UM-MIMO. This strategic confluence necessitates a symbiotic partnership between experts versed in THz systems and MIMO paradigms, rendering Prof. Emil Björnson an ideal supervisor for this fellowship. To maximize the impact of the research conducted, the researcher will prepare scientific research results for publication in leading journals such as IEEE TWC and IEEE TCOM, and will present conference papers at premier international conferences such as IEEE GLOBECOM and IEEE ICC. The results will also be disseminated through tutorials, videos, and simulation code. By investing in cutting-edge research in this field, the European Union (EU) can stay at the forefront of technological advancements and secure its position as a leader in the development of future wireless communication standards, driving economic growth and enhancing competitiveness in the global market.

Keywords: mimo,channel estimation,localization,beamforming
A heterogeneous distributed prediction model for wind-solar energy production (ANSWER)

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: Denmark
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-02-01
End date: 2026-01-31
Duration (months): 24.0
Total project cost (EUR): 230774.4
EU funding (EUR): 230774.4
Participants: 1
Project status: SIGNED

To achieve the European Union's green transition goal, solar photovoltaic (PV) and wind energy are widely adopted, which pose great challenges to the reliability and safety of existing energy systems. The state-of-the-art methods mainly concentrate on the prediction of a single energy form, either wind or solar. There is limited research on joint forecasting for wind-solar energy due to the challenges of data heterogeneity and data silos for different wind farms and solar PV plants. This project develops a heterogeneous distributed prediction model for joint wind-solar energy production (ANSWER), based on heterogeneous data sources at different wind farms and solar PV plants. A global model will be generated by the fusion of heterogeneous models from all wind farms and solar PV plants, coordinated by a central server. To achieve the research goal, this project proposes four work packages, including 1) development of model specifications, which use a two-level structure:client-level and server-level, 2) development of a generic seamless forecasting client model that supports multiple time-scale and -horizon prediction, 3) model aggregatioin for heterogeneous client models, and 4) model deployment and evaluation in a living lab for the robustness of the proposed ANSWER model. This proposal ANSWER specifies the resources needed for this project, including the quality and capacity of the host university, mentors, data, and experimental facilities. This project will enhance the scientific skills and innovation capability, expand research horizons, and establish research collaborations of the applicant. A two-way knowledge transfer approach in energy big data, distributed modeling and energy system analysis is proposed to ensure benefits between the applicant and the host university. The proposed model will make a significant contribution to the state of the art in renewable energy (wind and solar) production forecasting and the EU climate goals.

Keywords: wind solar energy,data driven,heterogeneous distributed modeling,production forecasting
Mechanism of vertebrate sperm-egg recognition and fusion (GaMe)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Cell Biology, Development, Stem Cells and R egeneration
Panel description: For all organisms : Structure and function of the cell, cell -cell communication, embryogenesis, tissue differentiation, organogenesis, growth, development, evolution of development, organoids, stem cells, regeneration, therapeutic approaches
Countries involved: Austria
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

The life of every sexually reproducing being can be traced back to a singular event: the fusion of sperm and egg. Gamete fusion is perhaps the most critical step in the process of fertilization. However, the mechanisms underlying vertebrate sperm-egg fusion and the events that precede it (sperm-egg recognition) are largely unknown. Uncovering the molecular machinery and biophysical mechanisms mediating sperm-egg recognition and membrane fusion in vertebrates is therefore one of the biggest challenges in fertilization research. In this project we aim to uncover the mechanistic principles of vertebrate fertilization by exploiting the unique advantages of zebrafish as a vertebrate model in combination with in vitro reconstitution assays. We will focus on two main questions: 1) What is the molecular mechanism of sperm-egg recognition? 2) What are the molecular and biophysical principles underlying sperm-egg fusion? To identify new essential components of the sperm-egg recognition and fusion machineries, we will develop candidate and unbiased screening approaches. We will combine functional studies in vivo, using phenotypic, genetic, biochemical, and advanced high-resolution imaging approaches, with mechanistic studies in vitro, using structural and reconstitution assays, to rigorously determine requirement and sufficiency, causal relationships, spatiotemporal dynamics and mechanisms. Our recently discovered fertility factors Bouncer (sperm-egg recognition) and Dcst1/2 (sperm-egg fusion) provide precise entry points for screens and for functional and mechanistic studies. Overall, our goal is to mechanistically understand how sperm and egg recognize and bind to each other, and how their membranes subsequently fuse. The insights gained will form the basis for our ultimate vision, to reconstitute a functional ‘fertilization interface’ in vitro, and by these means understand one of the most fundamental processes of life.

Keywords: fertilization,cell cell fusion,sperm,egg,zebrafish,in vitro reconstitution
Active Region Classification and Flare Forecasting (ARCAFF)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Space
Destination: Open Strategic Autonomy in Developing, Deploying and Using Global Space-Based Infrastructures, Services, Applications and Data
Action type: Research and Innovation actions
Countries involved: Ireland,Italy,United Kingdom,Hungary
Call: Space Weather (HORIZON-CL4-2022-SPACE-01, 2022)
Start date: 2022-12-01
End date: 2026-02-28
Duration (months): 39.0
Total project cost (EUR): 604111.25
EU funding (EUR): 604111.25
Participants: 4
Project status: SIGNED

The Sun is an enigmatic star that produces the most powerful explosive events in our solar system - solar flares and coronal mass ejections. Studying these phenomena can provide a unique opportunity to develop a deeper understanding of fundamental processes on the Sun, and critically, to better forecast space weather. The Active Region Classification and Flare Forecasting (ARCAFF) project will develop a beyond state-of-the-art flare forecasting system utilising end-to-end deep learning (DL) models to significantly improve upon traditional flare forecasting capabilities. ARCAFF will increase the accuracy and timeliness of current operational flare forecast products and create new time series flare forecasts. Furthermore, ARCAFF forecasts will include forecast uncertainties, another major improvement over current systems. The large amount of available space-based solar observations are an ideal candidate for this type of analysis, given DL effectiveness in modelling complex relationships. DL has already been successfully developed and deployed in weather forecasting, financial services, and health care domains, but has not been fully exploited in the solar physics domain. Solar flare forecasts from ARCAFF will be benchmarked against current systems using international community standards, and will demonstrate ARCAFF’s superior forecasting capabilities. The datasets, codes and DNNS developed for ARCAFF will be made openly available to support further research efforts and encourage their re-use. ARCAFF is relevant to the work program as it will exploit currently available data space weather data to train DL models to improve forecast accuracy. DL itself is an innovation enabling technology and analysis of the DL models will improve scientific understanding of solar flares. Through the creation of new forecast products it will develop and mature new concepts for both scientific and monitoring purposes, following the best-practices of meteorological services.

Keywords: sun,active regions,solar flares,space weather,deep learning,forecasting
Template-Directed Synthesis of [9]CPP and [20]Cyclacene (Cyclacene)

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 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-04-01
End date: 2027-03-31
Duration (months): 24.0
Total project cost (EUR): 217965.12
EU funding (EUR): 217965.12
Participants: 1
Project status: SIGNED

Cyclic conjugated systems composed of benzene rings have attracted the interest of many chemists because of their novel structures and application value in nanotechnology, electronics, and host-guest chemistry. What attracted chemists is that they are the smallest repeating units of different types of carbon nanotubes. Their properties are of particular interest and they raise hope in the field of controllable growth of carbon nanotubes with uniform chirality. Carbon nanobelts and rings are notable not only for their structural similarity to carbon nanotubes but also for their significant value in supramolecular chemistry, molecular machines, and the fundamental understanding of π-conjugation. Chemists have extensively studied the host-guest interactions between various carbon nanobelts/rings and different curved π-systems. In addition, carbon nanobelts/rings have been investigated for their potential applications in organic semiconductors, optoelectronic devices. organic batteries, polarized luminescence, and guest recognition. However, due to the difficulties in the synthesis of carbon nanobelts/rings, their exploration in the field of functional materials for electronics, photonics, and photovoltaics so far remained limited. In this proposal, I suggest a new method for the synthesis of [9]CPP and [20]cyclacene using a templating approach for the synthesis of shape-persistent macrocycles molecules with large strain energy. The template molecule can organize the reactants and provide effective guidance to promote the formation of a specific product. Meanwhile, the substituted [20]cyclacene could also be synthesized by simply changing the reactants, thus expanding its application in the field of supramolecular chemistry and functional materials.

Keywords: template synthesis carbon nanobelts rings host guest interactions
Turning food waste into sustainable soil improvers for better soil health and improved food systems (Waste4Soil)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Mission
Theme: Soil health and food
Destination: Soil health and food
Action type: Research and Innovation actions
Countries involved: Greece,France,Finland,Spain,Italy,Hungary,Netherlands,Poland,Slovenia,Switzerland
Call: Improving food systems sustainability and soil health with food processing residues (HORIZON-MISS-2022-SOIL-01, 2022)
Start date: 2023-06-01
End date: 2027-05-31
Duration (months): 48.0
Total project cost (EUR): 6999461.25
EU funding (EUR): 6999461.25
Participants: 28
Project status: SIGNED

Waste4Soil envisions the development of 10 technological and methodological solutions for recycling food processing residues from the food industry into local, biobased circular soil improvers for improved soil health. A user-driven standardised Evaluation Framework will support stakeholders from the food value chain, including waste managers, to assess their status towards food processing residues circularity and take action for recycling suitable waste streams into beneficial soil improvers. To ensure co-innovation and collaborative research, Waste4Soil will setup 7 Soil Health Living Labs across Europe, in Greece, Finland, Spain, Poland, Hungary, Italy and Slovenia, to study the valorisation of 8 types of food processing residues (i.e., meat, fish, dairy, cereals, olive oil, beverages (wine), fruits and vegetables, and processed food). The project focuses on assessing and improving the effectiveness of existing routes of food waste management to soil improver components, formulation and application methods by focusing on: 1) Anaerobic digestion residues by employing novel nutrient separation including Selective Electrodialysis, bio-electrochemical and membrane systems 2) Novel efficient Biochar production from food processing wastes and digestates 3) BioPhosphate processing 4) Effective composting process of solid residues 5) Protein hydrolysates acting as soil improvers and AD-Microalgae combined processes for soil biostimulants and 6) An enabling management platform applied in all living labs, with a growing database of data analytics, route optimisation applications, soil health evaluations and application recipe’s, commercial aspects, and the capacity to use IoT devices in logistics. The 27 partners and 1 associated partner supporting this project proposal are forming a transdisciplinary partnership accross 10 European countries.
REPRESSIT: A novel class of clinical immune checkpoint inhibitors (REPRESSIT)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Netherlands,Germany,Sweden,United Kingdom
Call: EIC Pathfinder Open 2022 (HORIZON-EIC-2022-PATHFINDEROPEN-01, 2022)
Start date: 2023-05-01
End date: 2028-04-30
Duration (months): 60.0
Total project cost (EUR): 2896496.25
EU funding (EUR): 2896496.0
Participants: 6
Project status: SIGNED

In the tumor microenvironment, continuous or “tonic” stimulation of T cells induces checkpoint signaling through inhibitory immune receptors (IRs). This phenomenon suppresses T cell function, contributing to an exhaustion phenotype and their consequent failure to eliminate cancer cells. Checkpoint blockade through IR-targeting antibodies (e.g. anti-PD-1, anti-CTLA-4) can partially reverse this process, and has revolutionized cancer immunotherapy. However, a large fraction of patients, e.g. with tumors that do not express IR ligands, do not benefit from this treatment. Thus, a large unmet need remains to be addressed. We aim to change the current ligand-centric “blockade” paradigm. The REPRESSIT platform technology developed herein will provide a radically new approach, through development of a novel class of ligand-independent checkpoint therapeutics. These Receptor Inhibition by Phosphatase Recruitment (RIPR) molecules recruit tyrosine phosphatases to the IR and shut down IR signaling, thereby reactivating exhausted T or NK cells to effectively clear cancer cells. The REPRESSIT consortium unites unique complementary expertise and models in IR biology, tumor immunology, protein engineering, biophysics and proteomics, to: 1) define the design principles of RIPR molecules against multiple checkpoint IR targets, 2) evaluate the IR mode of action of signal inhibition, 3) optimize RIPR molecule for their efficacy using preclinical cancer models, and 4) demonstrate in vivo proof-of-concept (PoC)), focusing on a highly-relevant panel of T and NK cell IRs known to display tonic signaling. REPRESSIT will deliver a technology platform for off-the-shelf RIPR designs targeting phosphotyrosine-carrying IR. This project will provide the foundation for our long-term vision of innovative immune checkpoint therapeutics with unprecedented efficacy and provide a greatly improved perspective to the many cancer patients for which current treatment is ineffective.

Keywords: cancer immunotherapy checkpoint receptors immune cell signaling protein engineering protein biophysics protein structure
Phase-sensitive Alteration of Light colorAtioN in quadri-parTIte gaRnet cavIty (PALANTIRI)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: France,Germany,Netherlands,Spain
Call: EIC Pathfinder Open 2021 (HORIZON-EIC-2021-PATHFINDEROPEN-01, 2021)
Start date: 2022-10-01
End date: 2026-03-31
Duration (months): 42.0
Total project cost (EUR): 3303533.75
EU funding (EUR): 3303533.75
Participants: 9
Project status: SIGNED

The elder wand of telecom wizards would coherently change the color of light. But while the laws of physics do allow mutating the photon chroma, all attempts to date have been very inefficient for large frequency mismatches. PALANTIRI will initiate a technological breakthrough by providing a viable development path for integrating the coherent and efficient interconversion of information between microwaves and light on a chip. We propose a radically new approach building on quadripartite (microwave photon-magnon-phonon-optical photon) hybridization process. The idea is to exploit opto-mechanical effects while inserting a magnetic element that maintains high cooperativity both with a mechanical mode through magneto-acoustic coupling and with the microwave antenna through inductive coupling, while exploiting magnetic texture to achieve perfect matching of the microwave precession profile with the optical mode. This opportunity has recently emerged from progress in material science, which allows the fabrication of freestanding micron-size slabs of ultra-high quality magnetic insulator yttrium iron garnet. The suspension greatly suppresses any leakage of phononic or photonic oscillating energy through the substrate. PALANTIRI’s scientific objectives are to deliver within 42 months a proof of principle on-chip analog coherent frequency converter with efficiency of the order of unity (TRL2). The delivered phase-sensitive device will provide the breakthroughs needed to achieve a radical expansion of the connectivity capacity of a backhaul network for enabling high-speed internet access for everyone from any location. It will also provide the elementary brick to build the quantum-ready internet infrastructure of the future. To achieve these goals, our consortium consists of six academic partners (CEA, MLU, CNRS, TUD, ICN2, MPG) from four EU countries (FR, DE, NL, ES) and one industrial partner (TSST). The global budget of the proposal is 3,3M€.

Keywords: insulatronic,spin mechanics,cavitronic
Machine Learning for Quantum (ML4Q)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Doctoral Networks
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: France,Germany,Italy,Hungary
Call: MSCA Doctoral Networks 2022 (HORIZON-MSCA-2022-DN-01, 2022)
Start date: 2024-02-01
End date: 2028-01-31
Duration (months): 48.0
Total project cost (EUR): 2532872.0
EU funding (EUR): 2532872.0
Participants: 10
Project status: SIGNED

The Marie Skłodowska-Curie Doctoral Network "ML4Q - Machine Learning for Quantum" provides high-level interdisciplinary, intersectoral and international training to 10 doctoral researchers who will explore how machine learning and quantum science technology can be combined to (i) extend quantum and classical machine learning based prediction of materials and matter properties and to strongly-correlated regimes, and (ii) accelerate the development of quantum technologies through machine learning, thus enabling new approaches to solving outstanding problems currently out of reach of classical computers. This has the potential to address some of the world's most pressing challenges, such as developing tools for discovering more environmentally friendly chemical processes and efficient materials, or accelerating the development of quantum technologies which will give Europe an edge in the global tech race. ML4Q fellows will realize this vision will through their individual projects and interdisciplinary collaborations reinforced by a comprehensive training program which combines cutting-edge research with a focus on networking, career development for academic and non-academic career paths, open science and responsible research and innovation for society, that will enable them to shape emerging technologies and the next digital transformation in Europe. The consortium consists of 5 academic and 5 non-academic research partners (including 2 leading Eu QT startups) and 11 principal investigators who bring together all the necessary expertise computer science, AI and machine learning, quantum technology, and chemistry and materials science, as well as their interfaces. Together we will prepare the next generation of strong, resilient, flexible, and creative quantum and computer scientists with the combination of skills needed to meet the future needs of the rapidly evolving innovative materials, quantum technologies industries, as well as other knowledge based sectors.

Keywords: quantum machine learning,quantum science,quantum computing