Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Generative Understanding of Ultrafast Fluid Dynamics (GENUFASD)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Products and Processes Engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Germany
Call: ERC ADVANCED GRANTS (ERC-2022-ADG, 2022)
Start date: 2023-12-01
End date: 2028-11-30
Duration (months): 60.0
Total project cost (EUR): 2481873.0
EU funding (EUR): 2481873.0
Participants: 1
Project status: SIGNED

Fluids are fundamental to a wide spectrum of natural phenomena and technological applications. Spectacular manifestations of patterns and order arise at small spatiotemporal scales from ultra-fast fluid dynamics (UFD). Initiated by focused deposition of high thermal energy, causing local disruption of equilibrium, violent competing fluid dynamics with extreme local state variations characterize the subsequent relaxation. UFD offer a unique potential for exploration in micro-manufacturing and energy conversion. How can this potential be leveraged/harnessed? What mechanisms and inherent properties determine UFD in complex manufacturing environments? How can UFD be controlled to deliver nanoparticles or micro-structured surfaces with predictable properties? What is the potential of employing UFD to control breakup of phase interfaces? Our objective is to answer these questions by decisive advances in generative computational predictions and high-fidelity numerical experiments. Data-driven multi-fidelity models break the curse-of-dimensionality barrier. Identification of interpretable low-dimensional manifolds of UFD dynamics generates understanding from data. Transformer models produce UFD realizations without solving equations. Harnessing efficient sampling from these methodologies enables us to optimize UFD processes, targeting applications in precision engineering. Developed paradigms, methodologies, and computational tools will be delivered to the scientific and engineering community. Our group has strong foundations in complex-fluid physics and advanced computational methods, and a strong record of successfully integrating fundamental research and technical applications. Our goal is to provide unprecedented insight into UFD in complex environments and to unravel the path to technical solutions. Leveraging the hidden potential of UFD gives access to breakthrough innovations and high-impact technologies in micro-manufacturing and energy conversion.

Keywords: multiphase flows,compressible flows,computational fluid dynamics,generative modeling
Designing Allosteric Protein Switches by In Vivo Directed Evolution and Computational Inference (DaVinci-Switches)

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: 2022-09-01
End date: 2027-08-31
Duration (months): 60.0
Total project cost (EUR): 1619687.0
EU funding (EUR): 1619687.0
Participants: 2
Project status: SIGNED

Proteins are molecular machines that drive all major functions in cells. Controlling the activity of proteins in real time via light or chemicals is a central goal in synthetic biology. The design of switchable proteins, in particular single-chain, allosteric variants, however, is a challenging engineering problem thus-far mostly addressed by trial-and-error. DaVinci-Switches takes a radically new, data-driven perspective to fundamentally advance our understanding of protein allostery and accelerate and eventually rationalize the engineering of switchable proteins by interfacing synthetic biology with machine learning. We will establish a 'design by directed evolution' approach to create switchable proteins through receptor and effector fusion followed by phage-assisted in vivo directed evolution using synthetic gene circuits for selection. We will apply this novel pipeline to a diverse set of effector proteins and monitor the evolutionary process by next-generation sequencing (Objective 1). In parallel, we will perform an in-depth computational analysis of domain insertions within the natural protein repertoire. The combined, rich datasets will be used to train machine learning models to infer sequence patterns predictive of domain insertion tolerance and allosteric coupling between receptor-effector pairs (Objective 2). Finally, we will employ this unique model to design light- and drug-inducible variants of the Yamanaka cell reprogramming factors. These will provide the foundation of an Adeno-associated virus-based platform for cyclic, partial in vivo reprogramming of somatic cells with enormous potential for regenerative medicine, which will be evaluated in a murine model of drug-induced liver injury (Objective 3). DaVinci-Switches harnesses our key competences in protein engineering, synthetic biology and computation to reveal fundamental principles of allostery and enable transformative advances in the design of switchable proteins for research and medicine.

Keywords: phage assisted evolution,protein engineering,protein allostery,machine learning,partial transient reprogramming,regenerative medicine
Thermodynamic-inspired computing with oscillatory neural networks (THERMODON)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Netherlands
Call: ERC CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2024-05-01
End date: 2029-04-30
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

There is a pressing need to address the power consumption of computing, which keeps rising to the point it has become an environmental concern. Despite the remarkable progress in semiconductor technology, computing architectures are still energy inefficient, engineered for deterministic tasks as well as susceptible to noise, heat, and variations. Instead of massively over-designing architectures to compute with an acceptable degree of reliability, this research aims to “let physics do the computing” and harness noise, heat and variabilities for energy efficient computing. At the heart of the proposed paradigm is the thermodynamics of open systems entwined with neuromorphic computing. THERMODON aims to develop an unconventional neuromorphic architecture to thermodynamically compute and self-organize (“learn”). I hypothesize that the natural thermodynamics of appropriately engineered architecture can harness noise, heat, and variations to self-organize toward energy efficient “solutions” to “problems” posed by external potentials. I will develop such architecture with neuromorphic oscillatory neural networks that I master in my lab. This research aims to address how thermodynamic principles can be applied to oscillatory neural networks to derive learning rules that are unsupervised, continuously adapting and transforming the architecture into a dynamic “self-organizing” and “open interactive” system that learns, infers and interacts with the environment. THERMODON will bring breakthrough innovations in thermodynamic computing models and AI-specialized hardware to enable online training and inference to intelligent systems. The interdisciplinary research in this project between neuromorphic computing and thermodynamics opens a new and exciting area in computer architecture, triggering a paradigm shift in edge AI computing as well as an immediate impact as a hardware accelerator platform.

Keywords: vlsi design,physical design,oscillatory neural networks,
Single-Atom Catalysts for a New Generation of Chemical Processes: from Fundamental Understanding to Interface Engineering (SAC_2.0)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and Processes Engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Italy
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-05-01
End date: 2028-04-30
Duration (months): 60.0
Total project cost (EUR): 1499681.0
EU funding (EUR): 1499681.0
Participants: 1
Project status: SIGNED

The grand challenge for the chemical industries of the 21st century is the transition to more sustainable manufacturing processes that efficiently use raw materials and eliminate waste. Catalysis engineering is the key enabling technology to drive this transition, and single-atom catalysis is an emerging new approach to catalyst design. However, major questions concerning the local structure of these systems, their reactivity, and their evolution when prepared and structurally integrated into chemical devices are elusive. This project will address these important scientific gaps, laying the foundation for a new generation of catalysts for CO2 conversion. To unveil their microscale functioning, I will study for the first time the charge transfer taking place before, during, and after reactant adsorption and surface reactivity. This will be done combining synthesis, operando characterizations, microkinetics, and theoretical methods. Then, merging microreactor technology and process intensification, I will manufacture single-atom catalysts in powder and as miniaturized thin films or foams, using new, scalable and greener methods. This will bypass current limitations in terms of efficiency and metal dispersion, and close the gap on challenges related to catalyst-reactor integration, bridging chemical and device engineering. The materials will be validated in the valorization of CO2 to derive structure-function relationships and prove major catalytic improvements under realistic conditions. Overall, this is a fundamental and interdisciplinary project with ambitious objectives and high-risk/high-gain potential, that will go beyond the traditional pillars of catalysis. The scientific outcomes will provide new perspectives in catalysis and open paths in other fields, such as materials chemistry, green synthesis, and purification science. My pioneering contributions in this field and new proof-of-concept data place me in a unique position to undertake this fundamental study.

Keywords: process intensification chemical reaction engineering microreactor technology heterogeneous catalysis single atom catalysis catalysis engineering catalyst synthesis flow chemistry microreaction technology industrial catalysis surface science nanostructured materials chemical technologies carbon nanomaterials heterogeneous selective hydrogenations 2d materials industrial chemistry
Hit-to-Lead Development of potent broad-spectrum coronavirus fusion inhibitors (Inhibicov)

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: Israel
Call: ERC PROOF OF CONCEPT GRANTS2 (ERC-2022-POC2, 2022)
Start date: 2022-11-01
End date: 2024-04-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

The Covid-19 pandemic emphasized the urgent need for efficient broad-spectrum antiviral drugs against potential future coronaviruses (CoV) strains that may cause the next COVID pandemic. A critical stage during infection is the fusion of the viral envelope with the host-cell membrane, which depends on the conserved S2 domain of the viral Spike (S) protein. Hence, targeting the S2 domain is a promising approach to achieving pan-CoV inhibition. Since MERS- and SARS- S proteins bind to different cellsurface receptors through the rapidly diversifying S1 domain, we reasoned that compounds that inhibit both must target the S2 domain. We developed and performed a robust fluorescence-based high-throughput screen of 173,227 unique compounds and classified them based on their ability to inhibit infection of pseudoviruses bearing either MERS or SARS-2 S proteins at single-cell resolution. To our knowledge, this is the largest screen performed to date. This analysis identified several potent broad-spectrum small molecules that inhibit S protein mediated infection at sub-micromolar concentrations. Moreover, the compounds we discovered obey Lipinski's rule of five, indicating that they can potentially become drugs to prevent viral transmission. This project aims to develop two of the most promising broad-spectrum CoV small molecule inhibitors to create more clinically ready compounds with up to 100% inhibition activity that could be administered orally to reduce hospitalizations, prevent chronic effects, and reduce mortality. The technical work in the project is focused on lead optimization leading towards broad-spectrum antiviral drugs against future outbreaks of bat-borne viruses. The project also comprises pre-commercialization activities, where IP protection and commercialization planning are the core activities. Eventually, we will expect our developed compound(s) to boost the market for antiviral therapies for bat-borne viruses.
Novel health care strategies for melanoma in children, adolescents and young adults (MELCAYA)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Mission
Theme: Cancer
Destination: Cancer
Action type: Research and Innovation actions
Countries involved: Spain,Poland,Germany,Israel,Austria,Italy,Romania,France,Netherlands,Türkiye,Sweden
Call: Better understanding of the impact of risk factors and health determinants on the development and progression of cancer (HORIZON-MISS-2021-CANCER-02, 2021)
Start date: 2022-12-01
End date: 2026-11-30
Duration (months): 48.0
Total project cost (EUR): 8013218.54
EU funding (EUR): 8013218.54
Participants: 27
Project status: SIGNED

In childhood, adolescence and young adults (CAYA), melanoma is under-studied and non-existing tailored clinical guidelines and standardized approaches lead to a very low diagnostic accuracy. The MELCAYA project aims to understand risk factors and determinants of melanoma to improve the prevention, diagnosis and prognosis of melanomas in CAYAs through a strong international consortium with experts from 10 countries in different disciplines (e.g. oncology, paediatrics, ethics, policy making), and sectors (e.g. academic centers, SMEs, hospitals, patient associations). MELCAYA will work on different approaches. 1) By integrating existing reference European cohorts and registries, studies of genetic and environmental risk factors and progression of melanoma in CAYA will be performed through different omic methods, and a novel taxonomy of CAYA melanoma will be generated. 2) MELCAYA will also develop image-based robust and trustworthy machine learning tools and a pan-European second-opinion platform for better diagnosis specifically designed for CAYA. 3) Moreover, the validation of minimally and non-invasive disruptive tools based on artificial intelligence and volatilomics detection from exhaled breath and skin will lead to earlier detection and more accurate prognosis of melanoma in CAYA. 4) Finally, through the evidence gathered, MELCAYA will design and implement public health strategies and will actively involve patients and the general population. The results of MELCAYA will maximize its impact by making its data and results accessible and re-usable through integration into UNCAN.eu. This action is part of the Cancer Mission cluster of projects on ‘‘Understanding".

Keywords: melanoma,children,adolescents,congenital nevus,exposome,volatilomics,
Biomimicry and carbon adsorbent eco-materials for a climate-neutral economy (CSTO2NE)

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: Environment and Geosciences
Countries involved: Portugal,France,United Kingdom,China,Denmark,Spain,Poland
Call: MSCA Staff Exchanges 2021 (HORIZON-MSCA-2021-SE-01, 2021)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 1144742.86
EU funding (EUR): 1030400.0
Participants: 15
Project status: SIGNED

The European Commission (EC) launched the New European Bauhaus initiative to improve the well-being and health of citizens and future generations. The initiative is an environmental, economic, and cultural project aiming to combine design, sustainability, accessibility, affordability, and investment with helping deliver the European Green Deal. It aims at sustainable solutions that create a dialogue between our built environment and the planet’s ecosystems. CSTO2NE aims to provide the European community with innovative solutions for recycling and valorising biowaste (biomass) and industrial waste into new eco-engineered materials through industrial symbiosis waste co-utilisation, mineral carbonation, and biomimicry approach; namely, nature-inspired solutions and technologies for improving carbon uptake and waste incorporation and design eco-engineered materials and, transference of the emergent technologies through eco-innovation business models. In this context, CSTO2NE intends to (1) promote international and inter-disciplinary collaboration through research and innovation staff exchanges, leading to extended networks and opportunities; (2) Enhanced networking and communication capacities with scientific peers, as well as with the general public that will increase the project’s impact, (3) foster a shared culture of open access research an co-creation, that welcomes and rewards creativity and entrepreneurship, inspired by the New European Bauhaus concept, fostering ideas into innovative prototypes and technologies for the eco-materials circular economy.

Keywords: carbon capture and utilization,mineral carbonation,carbonated materials,business innovation models
Effects of mental disorders on the wellbeing and prosperity of family members and friends (MENTALNET)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Human Mobility, Environment, and Space
Panel description: Human geography, demography, health, susta inability science, territorial planning, spatial analysis
Countries involved: Finland
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-07-01
End date: 2027-06-30
Duration (months): 60.0
Total project cost (EUR): 1499494.0
EU funding (EUR): 1499494.0
Participants: 1
Project status: SIGNED

Mental disorders have an enduring impact on individuals wellbeing and economic prosperity. Although it is often assumed that these effects extend to the wellbeing of family members and friends as well, comprehensive large-scale direct investigations have rarely been conducted and it remains unclear how enduring these influences are. This project addresses this fundamental gap in our understanding and substantially extends prior knowledge in two crucial ways. First, I will estimate how much a person?s mental disorder affects the wellbeing and prosperity of family members, including parents and siblings. Second, I study whether these effects extend to partners in later adulthood. Third, I will assess the broader social impact of mental illness across the life course, also estimating the longevity of these wider harmful influences. My research team and I will use several interlinked nationwide Finnish registers to answer these questions. The linked datasets contain rich individual-level information for over three decades for the whole Finnish population, including complete details of healthcare utilization and prescription medication prescribing for approximately 5 million persons over a 20-year observation period. The main advantage of these nationwide registers is that they are truly population-based and free of the biases that are common in research surveys. My team will use state-of-the-art research designs and statistical methods to identify potential causal links. MENTALNET will deliver cutting-edge knowledge on how mental disorders coalesce in social networks, which can potentially help to reduce the societal impact of mental disorders.

Keywords: mental disorders,well being,life course,intergenerational,socioeconomic,social ties,social network,register based research
Completing the revolution : Enhancing the reality, the principles, and the impact of economics' credibility revolution (REALLYCREDIBLE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance , management
Countries involved: France
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2022-11-01
End date: 2027-10-31
Duration (months): 60.0
Total project cost (EUR): 1197632.0
EU funding (EUR): 1197632.0
Participants: 1
Project status: SIGNED

Applied economists routinely evaluate the effect of economic policies. For instance, what is the effect of raising the minimum wage on employment? Angrist & Pischke (2010) argue that applied economics has recently experienced a "credibility revolution'': by switching to transparent methods to evaluate policies, applied economists have increased the credibility of their findings, and the impact of their work. In the first part of this proposal, I show that the credibility revolution is not complete. Two-way fixed effects regression, a policy-evaluation method used in as many as 26% of the most-highly cited papers recently published in the American Economic Review, relies on the assumption that the policy's effect is constant, across units and over time. In most applications, this assumption is not credible. Therefore, I propose a series of new differences-in-differences estimators, that do not rely on this constant effect assumption, and that can be used in virtually all the applications where two-way fixed effects regressions have been used. In the second part of this proposal, I argue that the credibility revolution's focus on unbiased estimators may be hard to defend, as variance also matters. I explore two ways of trading-off bias and variance. The first amounts to combining an unbiased and a biased but potentially more efficient estimator of the same parameter. The second amounts to deriving the minimax estimator of the policy's effect, under the assumption that this effect cannot be larger than a (potentially large) constant B. Finally, the third part investigates the potential impact of the ``credibility revolution''. Specifically, I will run a randomized controlled trial to measure the effect of following an online course presenting policy evaluations, in two very different populations: policy makers and members of the general public, focusing on individuals with a low trust in institutions in that second group.

Keywords: credibility revolution differences in differences bias variance trade off impact evaluation education