Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
New generation advanced phosphorus-containing flame retardants designed via machine learning and genetic algorithm (FireDesign)

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 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-05-01
End date: 2027-04-30
Duration (months): 24.0
Total project cost (EUR): 209914.56
EU funding (EUR): 209914.56
Participants: 1
Project status: SIGNED

Polymeric materials show advantages of high performance and low cost and have been widely used in modern society. Epoxy resin (EP) as one of the most important polymers, has been widely employed in construction, automotive, and aerospace industries, etc. In Europe, EP market has exceeded 410.60 kilo tons per year. However, the intrinsic flammability of EP makes them potential hazards to human life and property. Due to environmental concerns, incorporating phosphorus-containing flame retardants (P-FRs) into EP has been approved as an efficient approach to improve their fire safety. However, customized target P-FRs design is still hindered due to limited known structures and mechanisms. For example, in EP, two P-FRs with similar chemical structures but different chemical surroundings showed more than 10 times difference in flame-retardant efficiency. Therefore, how to reveal the structure–property relationship of P-FRs and achieve new high-efficiency P-FRs design based on subtle differences in these chemical surroundings (such as group positions, spatial configuration, etc.) pose significant challenges. The overarching goal of the ambitious yet feasible project (FireDesign) is to design novel high-efficiency P-FRs using machine learning (ML) and genetic algorithms (GA). More specific objectives include: O1) to establish the linkage between chemical structure of P-FRs and their flame retardancy efficiency, and to predict target properties of flame-retardant EP by ML; O2) to design optimal P-FRs molecular structures by GA in tandem with ML-based predictive model; O3) to synthesize high-efficiency P-FRs according to the designed molecular structures. FireDesign is a typical multidisciplinary approach requiring complementary expertise from the host (flame-retardant design, fire chemistry, polymer processing) and the researcher (ML, data mining, and GA), contributing to the achievement of “The Materials 2030 roadmap”and“Green and Digital strategies” of EU policies.

Keywords: new flame retardants,design,high efficiency,machine learning,genetic algorithm
Molecules as electronically open quantum systems (OpenQuantum)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Physical and Analytical Chemical Sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Norway
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-06-01
End date: 2030-05-31
Duration (months): 60.0
Total project cost (EUR): 1996840.0
EU funding (EUR): 1996840.0
Participants: 1
Project status: SIGNED

To control chemistry we must understand it, and this requires a fundamental quantum mechanical description. Today we have a highly mature state of accurate quantum chemical modeling of molecules. A central assumption in these models is that the molecules have a fixed number of electrons, i.e., that they are electronically closed. Recent experiments show great promise for probing chemical understanding and inducing chemical reactivity by passing a current of electrons through the molecule. Hence, quantum chemical models which can treat molecules as electronically open quantum systems are urgently needed. The mission of OpenQuantum is to establish the field of electronic wave function theory for electronically open systems. I will establish high-level models within the open quantum system formalism and develop it into a validated computational toolbox. Computationally efficient and versatile wave function implementations connected to multiscale environment models provide tools for investigating ground and excited state properties under open conditions. I will provide a detailed theoretical and computational description of how molecules are modified through electric currents, and explore possibilities that emerge in chemistry through fundamental knowledge of molecules as open quantum systems. The new methodologies and insight that OpenQuantum will bring are crucial to push the underlying understanding of excited states and redox stability of open molecules toward the use of electric current to catalyze and modify chemical reactions.
Strong correlation physics in Moiré, Nickelate and Kagome superconductors (MoNiKa)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Condensed Matter Physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2026-01-01
End date: 2030-12-31
Duration (months): 60.0
Total project cost (EUR): 1475625.0
EU funding (EUR): 1475625.0
Participants: 1
Project status: SIGNED

The interplay between strong electronic correlations and the laws of quantum physics can lead to exotic new states of matter. Turning novel materials into future technologies requires a thorough theoretical understanding of the fundamental physical phenomena encountered. Advances in computational methods in recent years allow for the study of strongly interacting quantum many-body systems with unprecedented accuracy, enabling us to explore questions posed by recent material discoveries. Kagome metals exhibit superconductivity, unconventional charge density waves, and possible time-reversal symmetry breaking, whose origin remains unknown. Nickelate superconductors are a structural analog of cuprate superconductors. However, they exhibit several crucial differences likely due to genuine multi-orbital physics whose treatment has so far been considered theoretically challenging. Moiré transition metal dichalcogenides stabilize various Mott insulating states with the possibility of hosting an elusive chiral spin liquid state, for which the understanding of crucial thermal and dynamical signatures is still missing. MoNiKa aims to reveal their fundamental physical properties by studying microscopic models capturing the essential physical aspects of these materials. These models include the extended kagome lattice Hubbard models for the kagome metals, multi-orbital Hubbard-Kanamori models for the nickelate superconductors, and dynamical properties of triangular lattice Hubbard models for the moiré transition metal dichalcogenides. To tackle these problems, we will utilize a comprehensive set of advanced numerical techniques, emphasizing novel finite temperature tensor network methods. While simultaneously extending the boundaries of these computational approaches, we will characterize superconductivity, new forms of magnetism, Mott insulators, and charge density waves alongside their thermal and dynamical signatures.

Keywords: computational quantum many body physics
Engineering Directional Communication Pathways in Coordination Cages (CageComm)

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: 2025-07-01
End date: 2027-06-30
Duration (months): 24.0
Total project cost (EUR): 217965.12
EU funding (EUR): 217965.12
Participants: 1
Project status: SIGNED

Proteins, functioning as enzymes, receptors, nanomotors, and transporters, have inspired the creation of numerous artificial molecular systems and materials that mimic biological structures and behaviors. However, replicating their dynamic behaviors and intra-protein communication pathways, which are responsible for allosteric interactions and signal transduction, remains a significant challenge. The "CageComm" project aims to emulate protein-like allosteric interactions and intra-protein communication pathways using multicavity molecular coordination cages. To achieve this, "CageComm" will develop novel directional mechanisms for intra-cage communication, enabling control of one cavity's features through the remote stimulation of another, and integrate them into asymmetric multicavity palladium(II) coordination cages. Like proteins, these coordination cages will be capable of receiving a stimulus, directionally transmitting the signal, and generating outputs such as structural changes, guest binding, or alterations in photophysical and chiroptical properties. Two primary mechanisms for intra-cage communication will be established: guest-induced twisting motion transduction and stimuli-responsive expansion/contraction motion transmission via palladium(II) re-coordination on "gear-like" ligands. Implementing these mechanisms will provide access to advanced features and behaviors of the cages, including structural remote control, remote sensing, cage-to-cage transformations, signal transduction across phase interfaces, and non-linear responsiveness.

Keywords: coordination cages,allosteric interactions,signaling
Preventing marine biodiversity collapse: safeguarding the resilience of fish communities in worldwide shallow reefs in the face of climate change and fishing pressures (RESEALIENT)

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: Environment and Geosciences
Countries involved: France,Australia,Spain
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-09-01
End date: 2030-02-28
Duration (months): 42.0
Total project cost (EUR): 409867.5
EU funding (EUR): 409867.5
Participants: 4
Project status: SIGNED

Resilience is an essential attribute inherent to natural ecosystems that maintains the health and proper functioning of biological communities. However, major pressures including fishing and climate change are eroding ecosystem resilience, and many biological communities are approaching dangerous tipping points. Crossing such tipping points causes sudden and catastrophic functional phase shifts, in which productive and healthy communities become unhealthy and degraded. The occurrence of these functional phase shifts are especially problematic in marine fish communities, as the associated biodiversity loss generate immeasurable costs for ~500 million people worldwide in terms of food, economics, spirituality, and culture. Due to its importance, international agencies such as the Kunming-Montreal (GBF) and the Sustainable Development Goals (SDGs) have incorporated the priority to avoid the occurrence of phase shifts keeping the resilience of the marine communities into their agendas. However, to date we lack methods to predict where and when these sudden functional changes may occur in an ecosystem. Such predictive tools are, however, crucial if ecosystems are to be prevented from crossing tipping points and, consequently, for maintaining the resilience and proper functioning of natural ecosystems. To overcome this conservation challenge, the aim of RESEALIENT is to investigate and forecast the occurrence of sudden and catastrophic functional phase shifts in marine fish communities. The novelty of our proposal lies in understanding the resilience of marine fish communities through the lens of functional redundancy. For that, we will employ a multidisciplinary approach that integrates theoretical resilience knowledge, empirical functional fish traits, current and future scenarios of fishing and climate change, and cutting-edge machine learning tools with open-source databases and software.

Keywords: functional regime shifts fish community ecosystem functioning tipping points marine conservation
Direct Reprogramming for Predictive Nephrotoxicity Testing (DRiPNeT). (DRiPNeT)

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: Switzerland
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2025-POC, 2025)
Start date: 2026-01-01
End date: 2027-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Acute tubular necrosis (ATN) is a major cause of nephrotoxicity-related drug attrition in clinical trials, yet current preclinical models rely on animal studies or immortalized renal cell lines, which lack human physiological relevance. To address this gap, we have developed a directly reprogrammed renal epithelial cell (iREC) platform, enabling a human-specific, scalable, and high-throughput nephrotoxicity screening assay. Our iREC-based system overcomes the limitations of primary, or iPSC-derived models by offering a rapid, reproducible, and physiologically relevant alternative model. Building on the advances of the ERC-Starting Grant project DiRECT, this project will validate the iREC-based platform by screening a curated panel of nephrotoxic and non-nephrotoxic compounds, assessing performance metrics, such as specificity, sensitivity, and Predictive value to benchmark against other model systems. This project aims to establish the technical and commercial feasibility of iREC-based nephrotoxicity testing, seeking more predictive human-based preclinical models. The outcome will provide a cost-effective, scalable alternative to animal testing renal safety screen. Ultimately, this project will help reduce late-stage drug failures, improve patient safety, advance personalized risk prediction, and accelerate the development of safer therapeutics.
Examining effects of daytime naps on memory consolidation and emotional reactivity in a well-powered, pre-registered multi-lab collaboration (NAPS)

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: Social Sciences and Humanities
Countries involved: Sweden
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 206887.68
EU funding (EUR): 206887.68
Participants: 1
Project status: SIGNED

This proposal will examine if a daytime nap improves memory consolidation, with the largest and most diverse sample size of any study ever conducted on this topic. We will achieve this through a preregistered multi-lab collaboration with contributing sleep labs from all over the world. Previous research has indicated that sleep is beneficial for memory consolidation; it has further been suggested that sleep mainly consolidates emotional memories, and that sleep helps to reduce the emotional reactivity associated with emotional experiences. Recent meta-analytic work has, however, revealed that previous studies on this topic have been massively underpowered and that selective publishing of positive findings is a major problem in the field. The study will have a within-subject crossover design. Participants will come to the lab in the early afternoon and encode neutral and negative images. For each image, they will also rate the emotional response it elicits. Participants will then either take a nap, monitored with polysomnography, or spend an equivalent amount of time awake, and then have their memory performance for the images tested, and rate their emotional response to the images once again. This research design will allow us to answer the following questions: A) will sleep, as compared to wake, increase memory consolidation? B) Will this sleep dependent-consolidation benefit be more pronounced for negative compared to neutral items? C) Will any particular sleep stage be especially involved in memory consolidation? D) Will sleep, as compared to wake, decrease the emotional reaction to previously viewed images? By doing this as a registered report, we will increase transparency and reduce risk of selective reporting of significant results. This study will, for the first time, produce robust and reliable estimates that will inform us about the putative benefits of promoting sleep in the immediate aftermath of learning experiences and/or negative events.

Keywords: sleep memory naps cognition consolidation rem sleep sleep stages emotional memory affect replication research multi lab collaboration open science
Bacteria Intrinsically Orchestrated with Designed Enzymes for sinerGistic Rate-Accelerated plastic Degradation Efficiency (BIO DEGRADE)

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: Spain
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-04-01
End date: 2025-09-30
Duration (months): 30.0
Total project cost (EUR): 226441.2
EU funding (EUR): 226441.2
Participants: 3
Project status: SIGNED

Plastics are one of the most widely used materials, with a wide variety of applications across all sectors of the economy. Its production is estimated to be around 360 million tonnes, and thus synthetic polymer is poorly biodegradable. Plastic life cycle is responsible for greenhouse gas emissions, contributing to climate change, plastic waste has been found in every ecosystem, are broken down into small pieces, microplastics, which can have a negative impact on organisms, and altogether causing an unprecedented ecological crisis. We aim to tackle this problem through Bacteria Intrinsically Orchestrated with Designed Enzymes for sinerGistic Rate-Accelerated plastic Degradation Efficiency (BIO DEGRADE) project, using a novel application of biotechnological-based approaches to synergistically increase the efficiency limits of multi-enzymatic solutions. The project will perform genomic modification of microorganisms with their own evolved collection of computationally-engineered proteins for (micro)plastic degradation. We are not engineering single enzymes to enhance their catalytic activities, as it will computationally design multitude (hundreds) of proteins from the microorganism, and boost them with extra catalytic sites making them into plurizymes. The additional active sites able to degrade plastics will designed into the proteins employing advanced molecular simulation techniques such Protein Energy Landscape Exploration (PELE) together with machine learning methods. In this way, the proteins will not be from other microbial origin (heterologous), but their homologous proteins, to which an extra active-site capable of hydrolysing microplastics will be designed and genetically added, not altering the gene expression pattern of the microorganisms. These organisms will outperform the use of single enzymes because of the synergistic action of multiple evolved enzymes with one common goal: (micro)plastic degradation.

Keywords: biochemistry,molecular dynamics,chemical engineering,biological system analysis modelling and simulation,bioinformatics,artificial intelligence,machine learning,computer aided design
Non-standard data and image processing - from nonlinear Optics to Quantum computing (OptiQ)

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: Information Science and Engineering
Countries involved: Poland,Austria,Luxembourg,Ukraine
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): 1247257.14
EU funding (EUR): 1196000.0
Participants: 8
Project status: SIGNED

The OptiQ project is focused on non-standard data and image processing methods which will lead to advances in quantum computing (QC). The project is designed as a platform for collaboration of academia (Silesian University of Technology in Poland), research (Austrian Institute of Technology and Security Business Austria) and industry (Boson Energy from Luxemburg, LG Nexera from Vienna, and Envelo from Warsaw) in a common purpose to achieve beyond state-of-the-art progress in applications of quantum optics phenomena for quantum communication and computation, in particular for quantum image processing and security. The deployment potential of these latter applications will be exploited by Boson Energy in green energy sector and by Envelo in digital secure communication, respectively. Through common implementation of an ambitious research programme, the project will generate novel skills for all consortium participants. Interdisciplinary and intersectoral staff training will serve as a basis for technology transfer and knowledge sharing between participants leading to elaboration and implementation of desired solutions. In this way, the project will strengthen collaboration between Beneficiaries in quantum computing and communication (QCC) and in optical image processing (OIP). In particular, the Consortium will focus on technology of entangled photons production and its application to Qbit building, quantum security, quantum block-chain technology and quantum communication. To facilitate contact with quantum optics, an Augmented Reality aided simulator & designer of optical quantum setups will be also developed. Particular attention will be paid to wide and efficient dissemination and communication. Due to these measures, OptiQ project will strengthen career perspectives of participating scientists, become the foundation for lasting collaborations in exploitation of results, and increase competitiveness of European Research Area and industry on the world’s QCC scene.

Keywords: quantum computing,entangled photons,quantum secure communication,nisq computers,image processing,augmented reality,bell s inequality games