Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Turning gold standard quantum chemistry into a routine simulation tool: predictive properties for large molecular systems (aCCuracy)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physical and Analytical Chemical Sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Hungary
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-07-01
End date: 2028-06-30
Duration (months): 60.0
Total project cost (EUR): 1175215.0
EU funding (EUR): 1175215.0
Participants: 1
Project status: SIGNED

We propose comprehensive theoretical method development targeting a long-standing dilemma in molecular quantum simulations between controllable predictive power and affordable computational time. While the outstanding reliability of quantum chemistry’s gold standard model is repeatedly corroborated against experiments, its traditional form is limited to the size of an amino acid molecule. By exploiting the short-range nature of leading interaction contributions, a handful of groups, including ours, have recently extended the reach of such quantitative energy computations up to a few hundred atoms. However, these state-of-the-art models are still too demanding and are not at all equipped to compute experimentally relevant dynamic, spectroscopic, and thermodynamic molecular properties. Thus, to break down these barriers, we will further accelerate our cutting-edge gold standard methods up to few 1000 atoms via concerted theoretical and algorithmic developments, and high-performance software design. Additionally, we will take into account biochemical, crystal, and solvent environment effects via cost-efficient embedding models. For the first time, we will also derive and implement practical approaches to compute static and dynamic observable properties for large molecules at the gold standard level. The exceptional capabilities of the new methods will enable us to study challenging chemical processes of practical importance which are not accessible with chemical accuracy for any current lower-cost alternative. We aim at modeling and understanding intricate covalent- and non-covalent interactions governing supramolecular and protein-ligand binding as well as the mechanism of organo-, organometallic, surface, and enzyme catalytic reactions. Once successful, this project we will deliver groundbreaking and open access tools for the systematically improvable and predictive quantum simulation of large molecules in realistic conditions and environments.

Keywords: quantum chemistry wave function theory,quantum chemical method development,algorithm design in quantum chemistry,coupled cluster theory many body perturbation theory electron correlation calculation high precision quantum chemical simulations computational modeling of reactions and molecular interactions
Protecting Sensitive Cyber Ecosystems from Upcoming Next Generation and AI-generated Malware Threats (PERUN)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Civil Security for Society
Theme: Civil Security for Society
Destination: Increased Cybersecurity
Action type: Innovation actions
Countries involved: Germany,Poland,Romania,France,Italy,Spain,Belgium,Switzerland
Call: Approaches and tools for security in software and hardware development and assessment (HORIZON-CL3-2024-CS-01, 2024)
Start date: 2025-10-01
End date: 2028-09-30
Duration (months): 36.0
Total project cost (EUR): 6582257.42
EU funding (EUR): 5486226.6
Participants: 17
Project status: SIGNED

More than ever, Europe needs cybersecurity. With the constant development of new malicious software, cyberattacks have been on the rise. Due to new attack vectors and encryption, novel attacks are undetectable to humans and simple rules and signatures. Without holistic and interdisciplinary cybersecurity solutions, the citizens’ lives, well-being, money and other assets are at risk. The PERUN project will strengthen the European cybersecurity by providing novel solutions powered by artificial intelligence and machine learning, to analyse and counter emerging cyberthreats to software, firmware and hardware in an efficient and cost-effective way. The PERUN project aims to enhance the security and resilience of digital infrastructures - national-level cybersecurity infrastructures, education and research networks, critical energy infrastructures, digital infrastructures of NGOs providing critical services and security operations centers (SOCs) across various sectors - by developing advanced cybersecurity solutions that leverage AI/ML technologies. To this end, PERUN will produce a set of innovative methods and algorithms to analyse data and detect new types of malware, as well as a collection of high TRL tools and products using new scientific approaches, all validated by representatives of the critical sectors. The results will be communicated and disseminated, not only to reach a broad range of stakeholders, but also to raise public awareness of cyberthreats. The tangible results of PERUN will be applied in five real-life scenarios pertaining to critical sectors such as nonprofits, energy, telecommunications, private SOCs and CERTs/CSIRTs. Owing to their high TRL and versatility, they will be an instant boost to Europe’s cybersecurity, whilst increasing its strategic autonomy and technological advantage.
Biointelligent Production Sensor to Measure Viral Activity (BioProS)

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: Germany,Italy,Netherlands,France,Sweden
Call: Development of technologies/devices for bio-intelligent manufacturing (RIA) (HORIZON-CL4-2021-DIGITAL-EMERGING-01, 2021)
Start date: 2022-07-01
End date: 2026-06-30
Duration (months): 48.0
Total project cost (EUR): 6317693.5
EU funding (EUR): 6317693.5
Participants: 10
Project status: SIGNED

We aim to transform virus biomanufacturing processes and enable new quality control strategies by a continuous, real-time capable biohybrid sensor technology to detect cell-based virus infection cycles. BioProS sensor concept makes use of an optical sensor technology in combination with cell-based measurement principles. In this context a platform technology will be developed that can be adapted to multiple specific analytes which enables its applicability in different industries and production settings. The development of such platform technology together with its technological complexity requires the involvement of multiple stakeholders throughout Europe and across disciplines (biology, engineering science, data science, manufacturing experts). Digitalisation has to extend from the very beginning of the process into the whole manufacturing chain, utilising all advances achieved in smart and lot-size-one manufacturing in recent years. This leads to the closely intertwined interaction of technical, informational and biological systems also referred to as bio-intelligent systems. This new paradigm opens up a large new space for innovations, recognised as a strategic field in America, Asia and Europe. Based on the manufacturing excellence leadership of Europe, BioProS will significantly contribute to all expected impacts of the Destination “Digital and Emerging Technologies” and explicitly to each of the four expected outcomes of this call topic. The consortium aims to gather all required expertise and set the basis for international partnerships. In close cooperation with pan-European initiatives and with the support of an industry advisory board, project partners aim to transform the vision of bio-intelligent manufacturing and demonstrate the applicability of disruptive technologies in an industrial setting. We will promote the research community for bio-intelligent methods and applications worldwide, and at the same time create technology sovereignty for Europe.

Keywords: bio intelligent,biomanufacturing,decentralized production,viral vector production,process control,bioprinting,in line monitoring,digital sensor,sustainability,cell and gene therapy
HARMONISED APPROACH TO EARLY FEASIBILITY STUDIES FOR MEDICAL DEVICES IN THE EUROPEAN UNION (HEU-EFS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Public-private partnerships
Destination: Innovative Health Initiative
Action type: Research and Innovation actions
Partnership: IHI (JU-JTI)
Countries involved: Italy,Spain,Denmark,France,Belgium,Ireland,Germany,Netherlands,Switzerland,United Kingdom,United States,Norway,Portugal
Call: Setting up a harmonised methodology to promote uptake of early feasibility studies for clinical and innovation excellence in the European Union (HORIZON-JU-IHI-2022-02-two-stage, 2022)
Start date: 2023-10-01
End date: 2027-09-30
Duration (months): 48.0
Total project cost (EUR): 19113188.75
EU funding (EUR): 10532197.5
Participants: 42
Project status: SIGNED

EU Regulations on medical devices (MDs), in-vitro diagnostics, and Health Technology Assessment envisage a harmonised lifecycle approach for clinical evidence generation of MDs. To be effective this approach requires evidence generation plan to be developed since early stages of product development, by engaging all relevant stakeholders. At present, in the EU there are no standardized procedural frameworks/guidelines/common reference standards for Early Feasibility Studies (EFS), clinical investigations allowed by ISO 14155:2020 conducted early in the development aiming to inform the product development. The ambition of the HEU-EFS project is to develop a harmonised framework for the EU EFS Program, as one integrated step of evidence generation cycle. Project objectives include: (1) conducting research/analysis on state of play (i.e., characteristics, challenges, impacts) of pre-market programs for MDs, including EFS; (2) building a sustainable network of stakeholders at EU/national level to promote/support EFS implementation; (3) developing a sound, widely applicable, harmonised EU methodology and formulating recommendations to uptake EFS; (4) undertaking pilots to test the proposed framework; (5) developing instruments to monitor the EFS performance; and (6) implementing a dedicated, sustainable, open access online portal dedicated to EFS methodological framework, best practices and network. To achieve these goals, the HEU-EFS consortium has been designed including a wide range of relevant stakeholders: research organisations, HTA bodies, patient organizations, healthcare providers, SMEs (including health technology developers, legal experts, and a CRO), and 6 major private companies that are part of a pre-identified industry consortium. An Advisory Board made of competent authorities, notified bodies, medical and biomedical engineering professional associations, networks and industry trade association will collaborate to the success of the initiative.

Keywords: early feasibility study health technology assessment regulation medical devices regulation medical devices pre market clinical investigation
Green electrochemical synthesis and characterization of MXenes for sustainable energy (EC-MAXene)

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: Czechia
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-02-01
End date: 2025-01-31
Duration (months): 24.0
Total project cost (EUR): 150438.72
EU funding (EUR): 150438.72
Participants: 1
Project status: CLOSED

To minimize the consequences of climate change, stopping greenhouse gas emissions and thus decarbonization of the energy supply chain is crucial. A highly promising solution is the utilization of fuel cells, which require hydrogen for energy generation. The supply of hydrogen by green technologies like water splitting is not economically feasible yet. To resolve this issue, cheap and efficient catalysts to drive this reaction are required. In the recent years, 2D materials moved in the focus of research as some of them show excellent catalytic activity to support the electrochemical splitting of water to obtain hydrogen. Among the vast field of 2D materials, MXenes are potential earth-abundant candidates with high stability and a broad range of potential applications, including the catalysis of water splitting. To date, 30 different MXenes have been synthesized, while more than 100 of them are predicted. However, established protocols use hazardous chemicals for the synthesis. Among the different methods, electrochemical etching of MAX phases to MXenes has the highest potential for an environmental approach. Thus, the main effort of this project is to develop electrochemistry-based synthesis routes for MXenes using environmentally friendly chemicals. The developed techniques will be evaluated in terms of yield and the structural and electrochemical characteristics of MXenes will be correlated. The etching process will be further optimized using scanning electrochemical microscopy. The technique enables the analysis of the localized electrochemical activity and the electrocatalytic activity towards the hydrogen evolution reaction. This will provide a deeper knowledge about the etching process in two regards: The minimum time required to achieve full conversion of MAX phase to MXene on an electrode surface can be determined, and local differences in catalytic activity can be spotted and correlated with structural and chemical deviations.
CALM-GBM: Circuit control by Astrocytes Located in Microenvironment of Glioblastoma (CALM-GBM)

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: Belgium
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-01-15
End date: 2028-01-14
Duration (months): 24.0
Total project cost (EUR): 216240.0
EU funding (EUR): 216240.0
Participants: 1
Project status: SIGNED

Glioblastoma (GBM) is an incurable brain tumor, with current treatments primarily focused on surgical removal. Although the tumor core is often successfully excised, invasive GBM cells that extend beyond the surgical margins persist, leading to recurrence. To improve patient outcomes, it is crucial to advance research that targets these invasive cells and elucidates the mechanisms enabling their survival within healthy brain tissue. Recent studies have revealed that the invasive cells of GBM, which contribute to the tumor’s resilience against treatment, can establish synaptic connections with nearby healthy neurons. These connections, termed neuroglioma synapses (NGS), facilitate an electrical coupling that activates GBM cells and supports their survival. In the healthy brain, 90% of synaptic connections are encapsulated by astrocytes, forming what is known as a tripartite synapse. However, it remains unclear whether NGS between GBM cells and neurons are similarly ensheathed by astrocytes. The astrocytes surrounding the tumor, known as Tumor-Associated Astrocytes (TAAs), enter a reactive state in the presence of GBM, where they are implicated in promoting tumor growth. Emerging evidence suggests that TAAs are functionally connected to GBM cells through gap junctions, enabling the transfer of calcium signals. Despite this, the role of TAAs in facilitating GBM progression via a functional calcium network remains poorly understood. The objectives of this proposal are: 1. Quantify by super resolution microscopy the glial coverage of NGS in human GBM samples and in mouse model 2. Measure the calcium dynamics between the GBM and TAAs to understand better the functional network that makes TAAs promote tumor growth. This research will pioneer new directions in cancer neuroscience by identifying the role of astroglial cells in GBM progression and potentially guiding the development of targeted therapeutic strategies aimed at disrupting these supportive networks. t

Keywords: glioblastoma astrocyte microenvironment
Space Launch Impact on Climate and Environment (SLICE)

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: Information Science and Engineering
Countries involved: Germany,France,Belgium,United Kingdom,Italy,Spain,Switzerland,Finland
Call: MSCA Doctoral Networks 2024 (HORIZON-MSCA-2024-DN-01, 2024)
Start date: 2026-01-01
End date: 2029-12-31
Duration (months): 48.0
Total project cost (EUR): 4804333.71
EU funding (EUR): 4548537.72
Participants: 30
Project status: SIGNED

Space utilisation plays a crucial role in understanding climate change, but due to a drastic increase in launch rates, there is an urgent need to understand and mitigate potential environmental impacts of space activities themselves, particularly of launchers. However, large knowledge gaps persist for their operational phase from lift-off to landing/reentry. Here, the largest Global Warming Potential and Ozone Layer Depletion Potential are expected. Especially in the higher atmospheric layers, which are only accessed by launchers, potential impacts of emitted pollutants are amplified by very long retention periods and substance accumulation effects. To investigate the Space Launch Impact on Climate and Environment, SLICE will therefore develop a research and training programme that bridges the current divide between space engineering and climate science to close the gaps that exist in the Life-Cycle Analysis of space launch systems. Thus, SLICE will contribute to advance the science of climate change by investigating the three most pressing research areas of this field: Launch Vehicle Emissions, Atmospheric Interaction & Climate Impact and System Analysis & Design. This will generate actionable insights, on which SLICE will develop solutions to reduce greenhouse gas emissions, accelerate the delivery of the Green Deal and establish an environmentally sustainable access to space. This will not only generate desperately needed novel results, which will enable cutting-edge innovations. It will also satisfy the pressing demand for a new generation of highly skilled and resilient researchers, trained to create and realise these necessary innovations and to develop a natural ecodesign thinking. SLICE is also highly needed to support current policy efforts, including the European Green Deal, ESA’s Agenda 2025, the upcoming EU Space Law and Product Environmental Footprint (PEF) regulations at European level, including the development of PEF Category Rules (PEFCR) for space.

Keywords: access to space rocket emissions combustion emissions atmospheric re entry emissions,life cycle analysis environmental impact multi disciplinary design optimisation chemistry climate modelling
Sample complexity for inverse problems in PDE (SAMPDE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Italy
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-11-01
End date: 2027-10-31
Duration (months): 60.0
Total project cost (EUR): 1153125.0
EU funding (EUR): 1153125.0
Participants: 1
Project status: SIGNED

This project will develop a mathematical theory of sample complexity, i.e. of finite measurements, for inverse problems in partial differential equations (PDE). Inverse problems are ubiquitous in science and engineering, and appear when a quantity has to be reconstructed from indirect measurements. Whenever physics plays a crucial role in the description of an inverse problem, the mathematical model is based on a PDE. Many imaging modalities belong to this category, including ultrasonography, electrical impedance tomography and photoacoustic tomography. Many different PDE appear, depending on the physical domain. Currently, there is a substantial gap between theory and practice: all theoretical results require infinitely many measurements, while in all applied studies and practical implementations, only a finite number of measurements are taken. We argue that this gap is crucial, since the number of measurements is usually not very large, and has important consequences, regarding the choice of measurements, the priors on the unknown and the reconstruction algorithms. Many safe and effective modalities have had very limited use due to low reconstruction quality. Within a multidisciplinary approach, by combining methods from PDE theory, numerical analysis, signal processing, compressed sensing and machine learning, we will bridge this gap by developing a theory of sample complexity for inverse problems in PDE. This will allow for the deriving of a new mathematical theory of inverse problems for PDE under realistic assumptions, which will impact the implementation of many modalities, guiding the choice of priors and measurements. Consequently, emerging imaging modalities will become closer to actual usage. As a by-product, we will also derive new compressed sensing results which are valid for a general class of problems, including nonlinear and ill-posed, and sparsity constraints. Collaborations with experts in the relevant fields will ensure the project’s success.

Keywords: inverse problems,compressed sensing,machine learning