Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A Research Platform Addressing Outstanding Research Challenges for Nanoscale Design and Engineering of Multifunctional 2D Materials (MULTI2D)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Materials Engineering
Panel description: Advanced materials development: performance enhancement, modelling, large -scale preparation, modification, tailoring, optimisation, novel  and combined use of materials, etc.
Countries involved: Sweden
Call: ERC CONSOLIDATOR GRANTS (ERC-2022-COG, 2022)
Start date: 2023-09-01
End date: 2028-08-31
Duration (months): 60.0
Total project cost (EUR): 1999940.0
EU funding (EUR): 1999940.0
Participants: 1
Project status: SIGNED

Emerging materials science and nanoscale engineering spawn extraordinary structures. During my ERC-StG, I discovered a new family of internally-ordered 3D atomic laminates that I coined i-MAX. More recently, these phases have been used to derive a new type of 2D solids, MXenes, with ordered vacancies. Here, I consolidate research to establish a world-leading research environment with a mission to understand and exploit yet wider classes of unique functional materials; the next generation of 2D materials, beyond MXenes, from selective etching of recurring layers in 3D precursor solids. Fundamental investigations of this project have as objectives to: 1) Use a theory-assisted search, including screening of open data bases, for design of new multifunctional 2D materials. 2) Perform precise-controlled synthesis/derivation of novel 3D/2D materials based on chemical exfoliation. 3-4) Explore nanoscale engineering and property tailoring, specifically targeting 2D materials for energy storage, catalysis, and other areas where low-dimensional solids can provide unique and sustainable solutions. 5) Provide proof-of-concept for novel materials in device applications. Research breakthroughs and corresponding societal impact are envisioned as novel 2D materials provide superior properties in devices made from sustainable elements and processing. Functionalized freestanding sheets of new 2D materials are expected to have a major impact on supercapacitors and batteries, and as a catalytic material, realizing efficient hydrogen evolution. Initial results attest to this. Pioneering a new generation of 2D materials holds exceptional potential for discoveries, for use in applications meeting global challenges pertaining to energy and environment, and beyond. My experience as an international research leader gives me confidence to take on this greater challenge for innovation. Thus, an outstanding research constellation can be constituted, delivering groundbreaking research.

Keywords: laminated materials,chemical exfoliation,two dimensional 2d materials,selective etching,density functional theory dft,high throughput simulations,sustainability,fundamentals,applications
First-time AI-driven, clinician-in-the-loop system for 25% efficiency gains and 40% improved treatment outcomes in healthcare (Elea)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Germany
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 24.0
Total project cost (EUR): 2499999.0
EU funding (EUR): 2499999.0
Participants: 1
Project status: SIGNED

In today's healthcare system, doctors and nurses face significant challenges with endless paperwork, inefficient processes, and overwhelming data management. Clinicians spend an average of 169 minutes daily on administrative tasks, which not only consumes 25% of their working time but also leads to a 20% billing error rate, costing the sector approximately €17 B annually. The fragmentation of non-digital patient records, manual workflows, and lack of interoperability among software tools further exacerbate these inefficiencies. Elea combines specialized AI models like Wisper for medical voice recognition and LLMs for contextual understanding to create detailed medical records, streamline workflows, and support decision-making, making it the first AI system that involves clinicians in the loop, ensuring smooth integration with current hospital systems. Elea targets the global Healthcare IT market, valued at €154B and projected to grow to €250B by 2028 at a 9.6% CAGR. The AI healthcare segment is expected to grow from €6.2B in 2023 to €41.8B by 2028, reflecting a 45.5% CAGR. In Germany alone, Elea's potential market includes 1,900 hospitals, 115,000 doctor's offices, 63,000 dentists, and 15,400 care homes. EU-wide expansion targets 15,000 hospitals. Elea’s leadership team consists of Christoph Schroeder (CEO), who has a background in AI and software development from Bosch and Mercedes Benz. Sebastian Casu (CMO), a seasoned medical doctor, ensures the product aligns with healthcare needs. Tobias Lygren (Technical Lead), an expert in coding and algorithms. Stephan Frank (Operations Lead) manages project operations and regulatory compliance. To accelerate development, Elea is seeking EIC funding to help speed up time-to-market, addressing critical inefficiencies in healthcare and improving patient outcomes. Elea aims to lead the transition to digital healthcare solutions, contributing to the EU's goals for enhanced healthcare delivery and sustainability.

Keywords: digital healthcare,ai enhanced medical workflows,ehr,patient care optimisation,healthcare interoperability
Neural and serotonergic mechanisms underlying time valuation in rats (TIMEVALUE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing , nervous system  function and dysfunction , systems neuroscience  and modelling , biological basis of cognitive processes and of behaviour, neurological and mental disorders – In humans and all other organisms
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 1498779.0
EU funding (EUR): 1498779.0
Participants: 1
Project status: SIGNED

Time is our scarcest resource. Humans and other animals must decide how to spend their time, choosing from endlessly many activities with distant and uncertain outcomes, thereby assigning value to their time. The neuromodulator serotonin is thought to arbitrate between impulsivity and the patience required to wait for future rewards, suggesting a pivotal function for time valuation. Serotonin-releasing neurons project to frontal cortex, where I have previously identified neurons that predict confidence-guided time investment, but the neural and serotonergic mechanisms for time valuation remain unknown. Here, I aim to identify the cortical control mechanisms that flexibly adjust the value of time to optimize time investment decisions. My central hypothesis is that serotonin sets the value of time dynamically encoded in frontal cortex neural activity. I will employ a family of decision tasks that allows for model-based quantification of time valuation by requiring rats to invest variable time into choice options with uncertain and delayed outcomes. We will use high-density probes and extracellular single-unit recording devices combined with chemical sensor imaging and optogenetics in freely moving rats, tools that I have developed during my postdoc, to address three main neural mechanisms: (1) What are the dynamic neural signatures of time valuation in orbitofrontal cortex, a frontal cortex area central for valuation? (2) Does serotonin specialize in conveying decision variables that construct time valuation? (3) How does serotonin impact frontal cortex neurons and network dynamics for time valuation? This research will clarify serotonin’s behavioral function and identify principles of serotonergic neuromodulation of cortical information processing. The projects will further characterize the structure of frontal cortex population dynamics underlying time valuation and decision-making.

Keywords: decision making,frontal cortex,neuro economics,serotonin
Interconnecting innovation ecosystems for common European data space in Health (EDAH)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Interconnected Innovation Ecosystems
Destination: Interconnected Innovation Ecosystems
Action type: Coordination and support actions
Countries involved: Portugal,Belgium,Spain,Estonia
Call: Preparatory action for setting up joint programmes among innovation ecosystems actors (HORIZON-EIE-2021-CONNECT-01, 2021)
Start date: 2022-09-01
End date: 2024-08-31
Duration (months): 24.0
Total project cost (EUR): 491697.5
EU funding (EUR): 491697.5
Participants: 4
Project status: CLOSED

The aim of the project is to foster the dialogue and development towards more inclusive, dynamic, (gender) diverse and interconnected innovation ecosystems in Europe to reach the European common data space in health. The joint action plan to be developed in the context of the project is oriented at overcoming the current deployment gap of digital health in Europe and to unlock the power of health data for innovative medicine and healthcare of the future, enabling new scientific discoveries, innovative commercial health products and services, all in all resulting in more efficient prevention and treatment of illnesses and ensuring a better quality of life in Europe and globally. The consortium includes four clusters/networks, all representing broad innovation ecosystems, that have for many years been working to advance the secondary use of health data and creation of the common European Health Data Space. This includes Biocat, BioRegion of Catalonia (Biocat; coordinating country: Spain), Council of European BioRegions (CEBR; based in Belgium), Health Cluster Portugal (HCP, Portugal) and ScanBalt network (SB; Estonia). The consortium takes leadership in coordinating the project activities but a wide range of clusters, bioregions and wider ecosystem stakeholders will be engaged in the project based on the joint effort of the core partners.

Keywords: european health data space,digitalisation,interconnecting ecosystems
Unlocking the complex genomes of European potatoes for modern breeding (BYTE2BITE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Biotechnology and Biosystems E ngineering
Panel description: Biotechnology using all organisms , biotechnology for environment  and food applications, applied plant and animal sciences , bioengineering and synthetic biology , biomass and biofuels , biohazards
Countries involved: Germany
Call: ERC CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2025-02-01
End date: 2030-01-31
Duration (months): 60.0
Total project cost (EUR): 1998826.0
EU funding (EUR): 1998826.0
Participants: 2
Project status: SIGNED

Potato is one of the three most important food crops in the world. Around 1.3 billion people rely on potato as a staple food every day. But despite this exceptional socio-economic importance, the improvement of potato during the past 150 years has been limited. The main reason for this deficit is the highly heterozygous, autotetraploid genome of potato. This complicates several important aspects of breeding including the fixation of beneficial alleles and the implementation of modern, genomics-assisted breeding techniques. Recently it has been suggested to convert tetraploid potato into a diploid crop, and thereby overcome all the difficulties associated with tetraploid potato breeding. However, the creation of diploid potatoes is hampered by the large number of deleterious recessive mutations that have accumulated in the tetraploid genome and are exposed in the diploid potatoes. In BYTE2BITE we will address the fundamental issues that hold back the success of potato breeding. We will generate the first-of-its-kind, near-to-complete pan-genome of potato and use this resource to develop unprecedented genome-graph tools for efficient genotyping and haplotype-resolved genome analysis. We will then use this new computational toolbox to establish a genomics-assisted pre-breeding programme in which we will generate novel potato cultivars with low mutational load. This new resource will open the doors to efficient breeding unleashing the genetic potential of potato and thereby help to secure the way we feed the world for the decades to come. Specifically, in BYTE2BITE we want to achieve the following goals: 1. A near-to-complete pan-genome describing almost the entire haplotype diversity of potato 2. A genome graph tool for cost-efficient genotyping and haplotype-resolved genome analyses 3. A genomics-assisted pre-breeding programme for potatoes with low mutational load

Keywords: pan genomics,plant genome assembly,potato breeding
Analysis of Dynamics and Amorphization of Metal oxides (MOx) (ADAMox)

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: Spain
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-08-01
End date: 2026-07-31
Duration (months): 24.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 1
Project status: SIGNED

The ADAMox project, “Analysis of Dynamics and Amorphization of Metal Oxides (MOx),” addresses a critical need in catalysis, particularly for the shift from traditional fossil fuels to clean and renewable energy sources, aligning with the European Green Deal’s sustainability goals. MOx catalysts play a central role in these chemical transformations, but their structural complexity poses challenges in designing efficient catalysts. Therefore, ADAMox leverages advanced computational methods to explore the structural dynamics of MOx catalysts during operando conditions. This project aims to uncover vital structure-activity relationships, offering theoretical guidance to advance high-performance catalysts. Key objectives include understanding the formation of disordered/amorphous ensembles on MOx surfaces, exploring structure-activity relationships in catalytic reactions, and developing a universal operando simulation workflow for thermos/electro-chemical catalytic systems. The interdisciplinary approach integrates computational chemistry, machine learning, and experimental techniques, enhancing the fundamental understanding of heterogenous catalysis. Furthermore, this project adheres to open science practices, ensuring transparency and collaboration within the scientific community. For the researcher, Dr. Li, under the guidance of Prof. Núria López at ICIQ, this project offers her a unique scientific career development opportunity to excel in a traditionally male-dominated area. It provides a platform to contribute to groundbreaking research while championing openness and diversity in science. In summary, ADAMox advances catalysis for clean energy and sustainable processes, offering exciting career prospects for the researcher while promoting open science and gender diversity in research.

Keywords: heterogeneous catalysis metal oxides neural network density functional theory ab initio molecular dynamics md simulations structure activity relationships operando simulations
Engineering fibroblast-targeted mRNA therapies as clinically-focused adjuvants for unlocking tissue regeneration in arthritis (Nano-Synergy)

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: Life Sciences
Countries involved: United Kingdom
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 260347.92
EU funding (EUR): 260347.92
Participants: 1
Project status: SIGNED

As a Marie Skłodowska-Curie (MSC) fellow, I aim to engineer clinically focused mRNA formulations for rewriting the biology of synovial cells and unlocking regeneration in rheumatoid arthritis, and expand the capabilities of current Disease Modifying Anti-Rheumatic Drugs (DMARDs). The current first-line therapies for rheumatoid arthritis (RA), DMARDs, effectively manage inflammation but do not regenerate destroyed bone tissue, leading to lifelong disability and pain. We hypothesize that reprogramming specific synovial cell types by combining targeted mRNA delivery with approved DMARD therapies can restore the pathological tissue state in arthritis back to a healthy state and enable long-term joint repair. This project, Nano-Synergy, will be supervised by global leader in materials chemistry and tissue engineering Prof. Dame Molly Stevens at the Kavli Institute for Nanoscience Discovery (University of Oxford). I will collaborate with tissue biologists Prof. Chris Buckley and Prof. Mark Coles at the Kennedy Institute of Rheumatology (University of Oxford), the world’s premiere rheumatology research centre. In the host Stevens group, I will rationally engineer mRNA nanodelivery systems which specifically deliver payloads to joint synovial cells by using bio-orthogonal chemistry and revolutionary techniques for characterizing nanoparticle physicochemical properties. I will demonstrate that mRNA synergizes with DMARDs to reprogram arthritis at the cellular level by adapting a state-of-the-art organoid system utilized by Buckley and Coles which spatially and transcriptionally recapitulates human arthritis, and then demonstrate tissue regeneration using an animal model. In summary, as a biomedical engineer and immunologist trained in RNA delivery and animal models of tissue injury, I will integrate unrivalled expertise and capabilities in engineering and rheumatology at Oxford to pioneer new regenerative therapies.

Keywords: synovium,fibroblast,nucleic acids,inflammation,resolution,lipid,rheumatology
Quantum Metamaterials with integrated atomic-like arrays for quantum information processing (QuantMeta)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Fundamental Constituents of Matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Israel
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-03-01
End date: 2029-02-28
Duration (months): 60.0
Total project cost (EUR): 2374938.75
EU funding (EUR): 2374938.75
Participants: 1
Project status: SIGNED

The key to realizing quantum systems that can implement quantum information processing is entanglement generation between many qubits. For distributing entanglement strong interactions between localized qubits (atoms) and flying qubits (photons) have to be ensured. The quantum-science community is currently searching for systems that offer enhanced light--matter interaction, as the efficiency of quantum operations in current state-of-the-art systems is limited by the interaction strength and loss mechanisms, which impede the generation of useful many-body entangled states. We plan to address this challenge by creating quantum metamaterials from quantum-emitter arrays as novel interfaces for generating atom-photon entanglement. Whereas most of the scientific effort focuses on coupling localized qubits to pre-designed structures to enhance interaction (i.e., cavities), we plan to take a completely different approach: building bottom-up quantum optical metamaterials out of quantum particles. We will achieve this by embedding silicon-vacancy-center arrays integrated in a diamond chip, which have shown to be top candidates for entanglement distribution. We will harness the enhanced collective response of the emitters to light and achieve a quantum response by coherently controlling the emitters' internal degrees of freedom. We will also access never-before-observed long-lived states, which are ideal for quantum memory. Our vision is to implement a scalable quantum light source with many degrees of freedom that generates large-scale atom-photon entanglement. By employing quantum information protocols we developed, our system can generate many-body entangled states applicable to one-way quantum computation. Our system unites major advantages for scaling-up entanglement: 1. High-fidelity quantum control over photonic states. 2. Potential operation-time speed-up by parallelizing photon control. 3. Quantum memory with long-lived states. 4. Integration into nanophotonics

Keywords: metamaterials,atomic arrays
Universal Platform for Infra-Red Imaging (UPIRI)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Systems and Communication Engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: United Kingdom
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-08-01
End date: 2030-07-31
Duration (months): 60.0
Total project cost (EUR): 2999999.0
EU funding (EUR): 2999999.0
Participants: 1
Project status: SIGNED

Infra-red (IR) cameras are critical for many applications ranging from medical diagnosis and food quality control to gas and heat leakage and night vision. These applications each rely on cameras designed to work at different IR sub-bands, e.g. near-IR, mid-IR or long-IR. No single camera can detect all IR bands simultaneously. Moreover, unlike charge-coupled device (CCD) cameras that operate in visible range, IR cameras are low in pixel numbers and often require low temperature (down to -200°C) operations, increasing their volume, cost and power consumption. UPIRI is designed to create a paradigm shift in IR visualisation via development of a new technological platform, enabled by a compact nanoscale layer that can be integrated into today’s standard cameras and extend their vision to the full IR band. Specifically, UPIRI will develop a layer of engineered arrays of nanoparticles, i.e. metasurfaces, that will absorb all IR bands and convert them to visible light. To realize such a new technological platform, UPIRI will address three independent challenges in the state-of-the-art: i. Generating operational nonlinear metasurfaces, ii. Stimulating non-coplanar wave mixing on metasurfaces, and iii. Pixelating and independently controlling metasurfaces to turn on/off each IR sub-band. UPIRI addresses them in a synergistic way by pushing the boundaries of scientific and technological innovations via: i. using nonlinear mixing by metasurfaces, optimized by AI to bypass low nonlinear efficiencies, ii. adapting the waveguide concept for confining the transversely propagating waves on metasurfaces, and iii. generating reconfigurable metasurfaces in the nonlinear regime. UPIRI's ambition is nothing less than the capability to visualize visible and all IR sub-bands together in high resolution with one inexpensive device. This new platform will initiate a new direction in research as an ideal alternative to today's expensive and complex semiconductor technology for IR imaging.

Keywords: metasurfaces,nonlinear photonics,frequency mixing,tunability