Data-Gouv-ML/pcri-actions-marie-curie-participations-et-projets-laureats huggingface dataset:
Projet MIRACLE (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

The growing use of electric vehicles (EVs) and shift to higher-energy-density battery chemistry have made battery safety a top research priority. The statistics show that >80% of EV fire accidents occurred without explicit abuse, where battery degradation can play a role. Nevertheless, most existing battery safety models focus on thermal runaway triggered by various forms of abuse, largely overlooking the evolution of battery safety with degradation during “normal” cycling conditions. MIRACLE therefore aims to address this gap by developing an efficient and precise approach for simulating and predicting the progression of lithium-ion batteries into unsafe states under non-abuse conditions with a focus on degradation effects. Specifically, MIRACLE will (1) develop a physics-based model that fundamentally bridges the gap between degradation and failure mechanisms, capturing when and how batteries will transition into unsafe states as a consequence of multiple coupled degradation mechanisms over significant periods of time, (2) embed the multiphysics into machine learning to enable fast, precise and physically interpretable predictions of battery cycling to failure, and (3) conduct model-based analyses to formulate the first state variable for estimating battery safety status evolution during cycling, addressing a key missing piece in current battery management systems and thereby enhancing the reliability and safety of battery operation. The multidisciplinary research leverages the collective expertise of the host group and the fellow, promoting effective two-way knowledge transfer. The fellowship programme sets the stage for significant personal and professional growth, paving the way for the fellow to become an independent academic in Europe.

Mots clés : lithium ion battery degradation safety multiphysics modelling physics informed machine learning

Participants :
- Breathe battery technologies limited (Royaume-Uni) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Université technique de Rhénanie-Westphalie à Aix-la-Chapelle (Allemagne) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Imperial College London (Royaume-Uni) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 276187.92 €
Projet CADAPIL (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

The drug discovery and development process is lengthy, costly, and fraught with high risks, often leading to a low success rate for new chemical entities (NCEs) from discovery through to market approval. A major challenge in advancing many NCEs is their poor bioavailability, primarily dictated by solubility and dissolution rates. Additionally, the solid-state nature of many drugs introduces the risk of polymorphism, which can adversely affect both development costs and therapeutic efficacy. An innovative solution to these challenges is the transformation of solid-state active pharmaceutical ingredients (APIs) into liquid salt forms, known as ionic liquids (API-ILs). While API-ILs show great promise for improving bioavailability and mitigating polymorphism, current design approaches are heavily reliant on expert guidelines and checklists, which limits exploration to a narrow chemical space. To overcome these limitations, the CADAPIL project proposes developing novel models for the computer-aided design (CAD) of API-ILs, resulting in a software package, openAPI-ILDesign, that will enable comprehensive exploration of the chemical space of API-ILs. These models and the corresponding software aim to identify new formulations with optimal thermodynamic and physicochemical properties, addressing the bioavailability challenges of NCEs and revolutionizing the design of next-generation drug formulations.

Mots clés : computer aided molecular design thermodynamics of charged fluids active pharmaceutical ingredients ionic liquids statistical association fluid theory mixed integer nonlinear programming

Participants :
- Imperial College London (Royaume-Uni) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 276187.92 €
Projet NS-LPNR (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

The decarbonization of the energy sector is crucial for achieving global climate goals. Nuclear energy, with its capacity for reliable, low-emission electricity generation, is essential for the transition to a sustainable, low-carbon energy future. Advanced Modular Reactors, which often employ low Prandtl number coolants like liquid metals, hold significant promise for improving safety, efficiency, and cost-effectiveness. However, the thermal-hydraulic behavior of low Prandtl number flows in these reactors, characterized by complex interactions between buoyancy, turbulence, and heat transfer, remains poorly understood. This knowledge gap poses a challenge for the modeling and safe operation of next-generation nuclear reactors. The proposed research project aims to address this gap by generating high-fidelity Direct Numerical Simulation (DNS) data for mixed convection flows with low Prandtl numbers. This study will focus on critical phenomena such as laminar-turbulent transition, and the intricate interplay between buoyancy and turbulence under conditions representative of advanced nuclear reactors. By leveraging advanced computational techniques, this project will provide detailed insights into the turbulence dynamics and heat transfer mechanisms, offering a robust foundation for developing and validating improved turbulence models. The methodology integrates DNS, machine learning (ML) algorithms, and advanced vortex dynamics techniques to capture and analyze the complex fluid behaviors in low Prandtl number flows. The interdisciplinary approach combines fluid mechanics, nuclear thermal hydraulics, and ML. Hosted by Imperial College London, under the supervision of Professor Sylvain Laizet, this fellowship will significantly enhance my expertise in high-fidelity simulations and turbulence modeling. It will position me to contribute to the development of safer and more efficient nuclear reactors, while advancing my career in nuclear thermal-hydraulic research.

Mots clés : high fidelity simulations, low prandtl number, turbulence modeling, cfd, machine learning, nuclear thermal hydraulics, advanced nuclear reactors

Participants :
- Imperial College London (Royaume-Uni) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 276187.92 €
Projet Re2Geo (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

The European Union (EU) has 2.8 million contaminated sites in 2024 that need to be remediated to improve land sustainability and resilience. The number comes to ~23,000 contaminated sites of ~27,000 hectares in the United Kingdom. Unfortunately, the EU has a surprisingly low remediation rate of 8.3%, and current soil remediation practices have never achieved profitability and decarbonisation so far. The migration of pollutants in these sites, especially organic pollutants, threatens human health. My fellowship aims to regreen and redevelop organic contaminated sites as carbon-negative geo-structures (Re2Geo). This is achieved through innovations in three interconnected work packages, involving (i) developing a novel material through nano-materialisation and functionalisation of wastes, (ii) optimising its carbon capture and soil remediation functions, and (iii) transforming remediated soils into carbon-negative geo-structures and sustainability validation. My fellowship project is highly interdisciplinary, requiring me to develop skills and expertise in civil engineering, waste management, geo-environmental engineering, and material science. This is enabled by the training activities and two-way knowledge transfer during the fellowship as planned in detail with the host academic institution. This fellowship allows me to carry out focused and independent research to address the significant scientific challenge, and the outcomes will generate significant academic and industrial impacts. This fellowship allows me to develop into a well-rounded researcher with skills in leadership, teaching, and international academic collaboration and eventually become an emerging leader in the sustainable remediation and redevelopment of contaminated sites, promoting the EU's commitment and leading position in environmental sustainability.

Mots clés : waste derived functionalised nanomaterial sustainable resilient remediation carbon capture soil stabilisation waste based geopolymer sustainability assessment tool engineering net zero

Participants :
- Imperial College London (Royaume-Uni) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 276187.92 €
Projet CASREx (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

Upper limb muscles wrap around bones to aid Activities of Daily Living (ADLs) like eating, enhances leverage and joint stability. Conditions like stroke, along with an aging population, impair upper limb control, reducing Range of Motion (ROM) and force. Stroke incidence is rising, with costs and disability affecting millions. Rehabilitation Therapy (RT) is crucial for ADLs, it boosts self-esteem and reduces depression. Challenges include therapist shortages, which robotic exoskeletons offer solutions. Exoskeletons are wearable robots that enhance strength and mobility, mainly tested on stroke survivors. Benefits include reduced fatigue and improved range of motion. Cable-Driven Exoskeletons (CDEs) consist cables for actuation, and hence lightweight and improve comfort. CDEs can be divided into Cable Driven Rigid Exoskeletons (CDREs), with issues such as joint misalignment, affecting patient's mobility and comfort and Cable Driven Soft Exoskeletons (CDSEs), compliant in nature and offers superior comfort and flexibility with lightweight materials. However, existing CDSEs lacks 1) cable wrapping, mimicking muscle wrapping, and 2) dynamically movable cable attachment points, which improve force orientation, balanced joint torques, and manipulability. To tackle the challenges, I'm developing a lightweight, compact Cable-driven Arm Soft Re-configurable Exoskeleton (CASREx), featuring cable wrapping and dynamically moving cable attachment points via a Fibre Reinforced Soft Cable-driven Micro Actuator (FReSCMA). The research specific objectives are: SO1: FReSCMA design, characterization and testing (Work Package WP1)- Material selection, fabrication, and testing in CASREx. SO2: Modeling of FReSCMA and development of CASREx (WP2)- Kinematic modeling and CASREx design with an actuation and control box. SO3: CASREx control and pilot study(WP3)- Control for user assistance and cable tension reduction. This exoskeleton will be lightweight and adaptable to various ADLs.

Mots clés : exoskeleton, soft robotics, cable driven robotics, kinematics and dynamics, rehabilitation, stroke

Participants :
- Imperial College London (Royaume-Uni) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 276187.92 €
Projet AIdaMArch (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

Masonry Arch Bridge (MAB) still plays a critical role within railway and roadway networks in Europe and worldwide. MABs constitute the majority of the European bridge stock. These structures were mainly built following empirical rules and were not designed to resist current traffic loading. Furthermore, nowadays, MABs are confronting the challenges of climate change and severe environmental conditions that degrade their performance. An accurate assessment of these complex structural systems represents a crucial step to preventing future failures and preserving them for the next generations. AIdaMArch introduces a tailored structural health monitoring approach that leverages a two-step data-driven methodology based on Long Short Term Memory (LSTM) models. The LSTM model enhances structural health monitoring by rapidly analyzing large amounts of sequential sensor data for real-time, continuous and adaptive monitoring of structures. MAB sensor measurements are not able to be analyzed by data-driven methods due to a lack of proper training data. To simulate the structural behaviour, a novel numerical model will be developed, and the data set will be augmented by a cyclic generative adversarial network for a higher level of applicability. AIdaMArch possesses the versatility of using a two-step data-driven method to not only detect anomalies (damage detection) but also extend its application to identify the severity of damage in MABs by the small number of measurements. The main goal of this proposal is a continuous, rapid, and accurate methodology for the health monitoring of MABs. To ensure the successful implementation of the project, Dr Emadi will conduct research at the Imperial College of London, with the guidance of Prof. Macorini, a leading scholar in the field, as a main supervisor. This project will prepare Dr Emadi to become a tenured scholar and obtain advanced funding, strengthening his academic profile and allowing him to establish his own research group.

Mots clés : masonry arch bridges, condition assessment, structural health monitoring, artificial intelligence, heritage conservation, 

Participants :
- Imperial College London (Royaume-Uni) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 260347.92 €
Projet SPERAPHOUS (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Physics
Statut du projet : SIGNED

With the rise in global warming, transitioning to renewable energy is more necessary than ever. Organic solar cells (OSC), with their flexibility and lower production costs and footprint, offer promising platforms for efficient light harvesting and net zero greenhouse gas emission. While OSCs nowadays depict 20% power conversion efficiencies, their performance is hindered by the bound states leading to photocurrent losses as they cannot provide free charge carriers. Efforts have been made to understand these bound states such as bound excitons, bound charge transfer states, and localized polarons as mitigating them could boost efficiency. However, identifying and analysing their dynamics requires extensive experimental work involving various techniques, mathematical tools, and modelling, further complicated by linking experimental results to device performance. Herein, by combining my expertise in photocurrent spectroscopy on optoelectronic devices under operando conditions with the host’s expertise in ultrafast multidimensional spectroscopy, I propose the SPEctrally Resolved Action PHOtocurrent Ultrafast Spectroscopy (SPERAPHOUS). This will spectro-temporally characterize bound states in OSCs under operando conditions ultimately leading to the development of design rules to improve OSCs efficiency. To achieve this, an interferometric system combined with ultrafast pulses, providing the spectro-temporal information, will be applied on Non-Fullerene Acceptor (NFA): Donor OSCs whose photocurrent response will be measured. SPERAPHOUS will contribute to the OSC research community and pave the way for investigating other optoelectronic devices, such as those based on perovskites and two-dimensional materials. Furthermore, through SPERAPHOUS, I will gain new knowledge and skills in ultrafast multidimensional spectroscopy, and I will enhance my academic skills broadening my scientific background leading to research independence.

Mots clés : organic solar cells, non fullerene acceptors, action spectroscopy, two dimensional spectroscopy, ultrafast spectroscopy, excitons, charge transfer state, photocurrent

Participants :
- École polytechnique de Milan (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 193643.28 €
- Imperial College London (Royaume-Uni) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet SAFE-BIOBATT (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : TERMINATED

Low ionic conductivity as well as insufficient ability to suppress the shuttle effect and lithium dendrite growth has been a crucial problem constraining the development of polymer electrolytes, which further leads to the fact that the vast majority of solid-state lithium-sulfur batteries (SSLSBs) have to be operated above room temperature. Moreover, researchers have given much more emphasis on the energy density of batteries, while the fire-safety property is not given as much attention as the battery’s performance. Therefore, facing these challenges, the overarching target of this ambitious yet achievable project (SAFE-BIOBATT) is to develop high energy density and fire-safe SSLSBs and to systematically investigate the electrochemical reaction mechanism based on these fabricated SSLSBs. In details, cross-linking biopolymer Carrageenan (Car), a promising and potential bio-based solid electrolyte with high ion conductivity at room temperature, with functionalized β-cyclodextrin (CDP-Car) will be produced with the aim to not only facilitate the fire-safety of fabricated polymer-based electrolytes but also enhance the mechanical strength to suppress the lithium dendrite growth for their application in SSLSBs. The Car is not only fabricated as electrolyte but also developed as binder for sulfur electrode with the aim of effectively capturing lithium polysulfides. By introducing this bio-based fire-safe electrolyte in this project, the room-temperature polymer-based SSLSB can be achievable as breakthrough. Furthermore, LiN(CF3SO2)2 as a typical candidate salt will be employed in this bio-based electrolyte (CDP-Car-salt), expecting its effects in stabilizing the solid electrolyte interface and preventing the lithium dendrite. As compared to the current electrolytes and key components of the batteries which mainly rely on fossil-based sources, the strategy proposed here provides a safe and sustainable solution to the development of new generation fire-safe batteries.

Mots clés : fire safe batteries, bio based polymer

Participants :
- Madrid Institute for Advanced Studies (Espagne) — Coordinator, beneficiary, Recherche, subvention : 165312.96 €
Projet DAMPK (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

Design high strength Al alloys is essential for industrial light-weight designs for both environmental and economic sustainability. This is usually achieved through age-hardening, where nanometer-sized precipitates are introduced to hinder dislocation slip. Accurate control of their size, spatial distribution and number density during aging is crucial to develop alloys with optimal performance. However, the assessment of precipitation kinetics and optimization of thermo-mechanical processing routes have been traditionally relying on costly experimental “trial-and-error” approaches. In this project, a novel methodology is presented to accurately determine the precipitation kinetics in Al Alloys based on the combination of first principles calculations and classical nucleation, growth and coarsening theories. The strategy is based in two main pillars. The first one is using first principles calculations and statistical mechanics approaches to determine precipitate thermodynamic parameters in Al alloying system, with consideration of influence of temperature and precipitate/solute state. The second one is the combination of this information with classical precipitation and strengthening theories to predict the precipitation kinetics and strengthening during heat treatment. The results will be validated experimentally and the developed strategy will be used to develop novel high strength Al alloy. The approach developed in this proposal will improve the predictive power of Integrated Computational Materials Engineering in Al alloys. The applicant will transfer his expertise and international connection in the field of precipitation kinetics characterization and modeling to the host institute. He will work with researchers of the host institution to prompt new areas of research that can attract new funding and receive regular training on transferable skills. All these activities will enlarge his portfolio of skills and will ensure further development of his career.

Mots clés : al alloys, precipitate, precipitation kinetics, precipitate strengthening, first principles, statistical mechanics, monte carlo, mean filed simulation, orowan theory

Participants :
- Institut national des sciences appliquées de Lyon (France) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Madrid Institute for Advanced Studies (Espagne) — Coordinator, beneficiary, Recherche, subvention : 194074.56 €
Projet SynCellCluster (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Chemistry
Statut du projet : SIGNED

The current global human crisis in climate, health and energy calls for the development of new biotechnological innovations. The engineering of living cells has demonstrated its efficiency to produce drugs or degrade pollutants, but living cells also come with major limitations. Synthetic cells are human-made robust micro-compartments that reproduce key features of living cells from non-living matter, and are now being engineered to tackle key societal challenges of the European Union, including environmental clean-up, energy production or drug delivery. The integration of multiple functional modules in a single synthetic cell, required to perform complex tasks, remains yet a grand challenge. A promising alternative to increase the functionality of synthetic cells is to distribute multiple functions into specialized compartments able to communicate with each other through chemical signaling to perform tasks collectively. However, chemical communication between synthetic cells remains poorly controllable and programmable. The aim of this proposal is to develop a new platform to quantitatively study chemical signalling between synthetic cells based on their dynamic clustering. For this purpose, we will engineer switchable sticky coacervate droplets to selective interact with enzymatically active vesicles and promote their reversible clustering in response to light or pH. The bottom-up assembly of vesicles will be achieved by microfluidics due to modularity and reliability to produce structurally well-defined architectures. Optical tweezers will be used to study the coacervate-mediated interactions between vesicles and quantify their chemical signalling via confocal fluorescence microscopy and spectroscopy. The skills and experience of the candidate in stimuli-responsive biomaterials, polymer coatings and adhesion will be applied to the interdisciplinary and cutting-edge fields of synthetic cells in which the hosting groups have made progress in the recent past.

Mots clés : coacervates, stimuli responsive materials, chemical signaling, vesicles, synthetic cells

Participants :
- Centre national de la recherche scientifique (France) — Coordinator, beneficiary, Recherche, subvention : 211754.88 €
- Imperial College London (Royaume-Uni) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €