Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Anisotropic thermoelectric polymers (AnisoTEP)

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: France,United States
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-09-01
End date: 2027-08-31
Duration (months): 36.0
Total project cost (EUR): 300441.6
EU funding (EUR): 300441.6
Participants: 2
Project status: CLOSED

Conducting polymer (CP) based thermoelectric materials (TE) gained significant interest from the scientific community due to their natural advantages such as low cost, high flexibility, lightweight and low toxicity over inorganic materials, which is beneficial for wearable or portable devices. Despite the benefits of organic TE materials, their low electrical conductivity reduces the TE performance and hinders commercialization. Chemical doping can be used to improve the electrical conductivity of CPs as it increases the charge carrier (polarons) concentration. However, the main limiting factor of electrical conductivity in organic semiconductors is their poor structural order and crystallinity. In addition, the strong coulombic attraction between the formed polarons (carriers) and the dopant counter ions hinders carrier delocalization, further limiting the TE performance. AnisoTEP will focus on developing highly conducting and crystalline polymer thin films to achieve high TE performance. We will use methods based on epitaxial orientation and mechanical rubbing to prepare oriented and crystalline P3HT thin films. Once oriented and crystallized, thin films will be doped by unique dopants based on dodecaborane (DDB) clusters, which stabilize their electron density in their core, and the negative charge of the DDB anions stays far away from the polarons, leading to a more delocalized polaron and high conductivity. Novel doping strategies based on ion exchange will be used to introduce counter ions of different ionic radii into P3HT to investigate the impact of counterion size on the polaron delocalization and TE performance. All the anisotropic TE parameters will be estimated, including the anisotropy in thermal conductivity and the final ZT anisotropy. This work would be the first attempt to experimentally determine the mobility anisotropy and charge transport mechanism in oriented polymers by AC Hall effect measurement.

Keywords: conducting polymers,doping,polymer orientation,organic thermoelectrics
Fermionic Fractional Quantum Hall Systems under the Microscope (FQHMicroscope)

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: Physics
Countries involved: Austria
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-04-01
End date: 2027-03-31
Duration (months): 24.0
Total project cost (EUR): 214344.72
EU funding (EUR): 214344.72
Participants: 1
Project status: SIGNED

Fractional quantum Hall (FQH) states are paradigmatic examples of strongly correlated topological quantum matter, combining geometric order and strong interparticle interactions. Yet, limited microscopic control in solid-state platforms often restricts observations to global current or spectroscopy probes. Engineered quantum systems, such as ultracold atoms in optical lattices, offer a complementary route for exploring topological order leveraging precise control over Hamiltonian parameters and access to local observables through quantum gas microscopy. The primary goal of this project is to prepare and probe quantum-engineered fermionic FQH states for the first time in a next-generation quantum gas microscope. First, we will implement direct laser cooling of fermionic Li-6 atoms to efficiently prepare individual atoms in the ground state of optical tweezers, and holographically project lattice potentials to assemble Fermi-Hubbard systems atom by atom. To explore FQH physics, we will implement small fermionic Harper-Hofstadter systems via Floquet engineering. Leveraging our system’s excellent coherence, we will extend observations beyond two particles and perform first observations fractionally charged quasi-hole excitations pinned by local repulsive potentials. To access a broader class of fermionic FQH states, we will build upon recent advances in multi-orbital lattices and engineer p-wave interactions between pairs of spinless fermions. This approach will facilitate first microscopic studies of exotic Pfaffian states. Our results will significantly impact research in quantum simulation and topological physics. Technically, we will advance programmable optical lattices, enabling sub-second cycle times and unprecedented levels of control in quantum gas microscopes. Implementing p-wave interactions will facilitate the exploration of Pfaffian states and non-Abelian excitations, which are building blocks for fault-tolerant topological quantum computing.

Keywords: optical lattices,quantum gas microscopy,quantum simulation,strongly correlated systems,topological physics,fractional quantum hall effect
Cultures of Joy in the Metacrisis: Resistance, Resilience, and Repair in Troubled Times (AnthropoloJOY)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Soci al World and Its Interactions
Panel description: Sociology, social psychology, education  sciences , communication  studies
Countries involved: United Kingdom
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2026-01-01
End date: 2030-12-31
Duration (months): 60.0
Total project cost (EUR): 2546930.0
EU funding (EUR): 2546930.0
Participants: 1
Project status: SIGNED

Joy is rarely the focus of the social sciences but is arguably more important than it has ever been. While crisis might be a ‘structural signature of modernity’ the experience of crisis today is characterised by complex systems themselves in crisis, interacting with each other in unpredictable ways. This ‘metacrisis’ is ubiquitous, enduring, and emotionally exhausting. Yet, for people around the world, living in and through the metacrisis requires joy to sustain them: experiences of joyous self-transcendence that support political resistance, psychological resilience and social repair. AnthropoloJOY is a novel exploratory investigation into the cross-cultural value, experience and expression of joy in contexts of crisis. The project’s research aims are: 1. To gather much-needed empirical and comparative data on the value, experience, and expression of joy in cross-cultural perspective. 2. To develop an innovative, comparative theoretical framework for understanding joy 3. To establish a new epistemological paradigm for collaborative, more inclusive and increasingly decolonised social science. These aims will be achieved by combining four empirically grounded work packages over the first three years of the project with an agenda-setting position piece in year 4 and an ambitious programme of interdisciplinary outreach and collaboration in year 5. AnthropoloJOY innovates by being the first cross-cultural study of joy grounded in long-term qualitative research methods. Moreover, AnthropoloJOY is rigorously structured around an innovative theoretical approach, a novel combination of qualitative and participatory research methods, and a pioneering commitment to fostering a positive research culture. By modelling new and more expansive ways to conduct collaborative research with participants and communities, AnthropoloJOY boldly challenges academic consensus on the crises of modernity and proposes an intervention that committedly emphasises the possibility of change.

Keywords: joy,crisis,anthropology,social sciences
Doctoral Network for a Shared Excellence of Fluorescent Lifetime Imaging Microscopy in Biomedical Applications (flIMAGIN3D)

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: Life Sciences
Countries involved: Ireland,Italy,Germany,Belgium,Netherlands,United Kingdom,Denmark
Call: MSCA Doctoral Networks 2021 (HORIZON-MSCA-2021-DN-01, 2021)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 2743459.2
EU funding (EUR): 2743459.2
Participants: 12
Project status: SIGNED

In flIMAGIN3D, which centres on fluorescent lifetime imaging microscopy applied to biomedical platforms in 3D; ten talented Doctoral Candidates (DCs) will be recruited, trained and supervised to cohesively establish the most robust, user accessible and powerful FLIM-based platform-never achieved before, and apply it to a wide range of applications in the biological sciences. flIMAGIN3D will generate ten DCs at the cutting edge of FLIM-based biological imaging who will spearhead, and go onto catalyse clusters of FLIM excellence across Europe; each intertwined within a collaborative network that will extend beyond the time-frame of the program. This doctoral network will train talented doctoral candidates in the essential theories underpinning FLIM , and through the individual projects and extensive secondments in this network; elevate their projects and skills, and that of their secondment hosts to research excellence in FLIM flIMAGIN3D addresses a significant knowledge gap in the field of photonics in biology by involving biomedical scientists in each and every aspect of development and design, and cognisant of the wide variety of current platforms that require adaptability to such modalities. In flIMAGIN3D: bringing together representatives with different applications and backgrounds, we will identify and overcome barriers to FLIM imaging by developing the next generation of scientists who will develop a FLIM platform capable of extracting the greatest amount of information possible in a stream-lined, accurate and user-friendly manner in order to understand biology in disease, differentiation, development and interventions at a high resolution. To achieve this goal, the trained scientists will develop cheaper advanced hardware components, with user friendly software that can build precise libraries for accurate machine learning classifications and plug-and-play platforms and sensors to facilitate a wide range of applications.
Data-driven based behavior intervention decision-making to ease energy poverty (DEEP)

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: Information Science and Engineering
Countries involved: Germany,Denmark
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-12-01
End date: 2026-06-30
Duration (months): 31.0
Total project cost (EUR): 130385.52
EU funding (EUR): 130385.52
Participants: 2
Project status: SIGNED

Energy poverty households face insufficient access to affordable and reliable energy services, which can lead to adverse health effects and risky coping strategies. The EU made energy poverty a policy priority in the Clean energy for all Europeans package in 2019, and one of the objectives is to address energy poverty by promoting energy-efficient behaviors. However, intervening in users' behavioral decisions is difficult as it requires a deep understanding of the behavior patterns and a rational explanation of the behavior mechanism. This project will address a key question in energy poverty research: can behavior pattern analytics facilitate the decision-making of energy poverty? Hence, the main objective is to assess if data-driven analytics of energy use patterns can provide insight into behavioral interventions to address energy poverty. Through this project, the applicant plans to use three progressive analytics tasks to answer the question: (i) Identify the behavior patterns of energy consumption (Descriptive Analytics). (ii) Reveal potential cognitive biases that impede high energy efficiency (Prescriptive Analytics). (iii) Explore policy interventions against cognitive bias (Prediction Analytics). The project will analyze user-level data through Graph Data Modeling to quantify energy use patterns and behaviors, overcoming the limitations of the traditional method relying only on descriptive statistics. Host and secondment will complement the interdisciplinarity of the project from the perspectives of energy behavior (behavioral science) and cognitive visualization (computer science) respectively. The project will facilitate the applicant's long-term research goals with interdisciplinary knowledge, enhancing the development of his career as an independent researcher. Potential beneficiaries are energy poverty households and energy stakeholders. The proposal is in line with the Sustainable Development Goals (SDGs) and objectives of the H2020 program.

Keywords: energy efficiency,energy poverty,data mining,behavioral intervention,decision making
Zero-carbon Industrial heat production by aMmonia water aBsorption heAt transformer (ZIMBA)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Sustainable, secure and competitive energy supply
Action type: Research and Innovation actions
Countries involved: France,Italy,Czechia,Switzerland
Call: Innovative components and configurations for heat pumps (HORIZON-CL5-2023-D3-02, 2023)
Start date: 2024-12-01
End date: 2028-11-30
Duration (months): 48.0
Total project cost (EUR): 1916760.63
EU funding (EUR): 1916760.63
Participants: 5
Project status: SIGNED

Decarbonizing industry is the key challenge for 2050 to achieve the Net Zero ambitions. For this, one of the current pathways is the massive electrification of industrial processes in demand for low-temperature heat (up to 150°C) thanks to heat pumps. However, the electricity distribution companies have recently issued an alert: the grid development is insufficient to match the enormous future needs for electricity. In the coming decades, this will thus trigger tensions on the power grid and lead to priorization in the supply of electricity. Therefore, to alleviate electricity demand while meeting industrial needs, it is crucial to provide alternative technology, such as Absorption Heat Transformer (AHT), which has the potential to meet the demand for low temperature heat, from non critical and abundant energy sources such as industrial waste heat, with hardly any electrical use. With this objective of offering another option than vapor compression heat pumps, the ZIMBA project aims to develop and validate at TRL4, an innovative AHT system at 15 kWth and 110°C. It will be based on a novel water ammonia AHT technology improved by a two-phase ejector specifically designed in order to stabilize its performance and widen the range of its operating conditions, in particular under hot conditions. From the physical evaluation results obtained, scaling studies up to 500 kWth will be carried out by the consortium, composed of researchers and industrial manufacturers, in order to push for a design with practically no critical raw materials, easily maintainable and recyclable, and with only commercially available components for fast time to market. The integration of the system in the potential future energy market and the associated business models will be studied in order to ensure a circularity of the energy and to fully exploit the exergy of the heat losses. Thus, ZIMBA will help the EU in reducing its dependence on fossil and electricity, while meeting climate goals.

Keywords: water ammonia absorption heat transformer,heat pump,ejector
Biologically Plausible Transformers - Integrating Top-Down and Bottom-Up Signals in the Primary Vision System for Computationally Efficient Deep Learning (BiTFormer)

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: Information Science and Engineering
Countries involved: Germany
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 173847.36
EU funding (EUR): 173847.36
Participants: 1
Project status: SIGNED

Deep learning (DL) has recently achieved remarkable success due to the continuous growth in model sizes. However, this growth has led to increased energy consumption. Hardware implementation of digital DL can help reduce energy usage, but the Von Neumann architecture of current DL has hindered its practical realization. In contrast, the brain exhibits energy-efficient multiscale spatiotemporal processing. Biologically plausible (BiP) frameworks have emerged as alternatives to mainstream DL. These methods use bottom-up and top-down signals, incorporating feedforward and feedback mechanisms, and local objectives instead of global error. Recently, I demonstrated that a BiP opto-analog hardware can achieve competitive performance compared to digital DL for feedforward networks. However, transformers, the backbone of current DL, are challenging to implement due to the input-dependent quadratic complexity in the transformer's attention. This project leverages the multiscale dynamics in the primary vision system to explore BiP architectures for transformers. The project is hosted at the University of Tübingen under Matthias Bethge and Thomas Euler, who have a long-standing effort in the system identification of mouse retina via DL. The project has three objectives. First, I will extract top-down information from neural recordings of ganglion cells in the mouse retina, focusing on unique spatiotemporal features that maximally activate specific cell types. Next, I will combine top-down signals with bottom-up models of the retina using recurrent architectures with linear complexity and compare their performance in classification tasks to a vision transformer for the retina. Lastly, I propose a BiP transformer with local weight updates. I will examine the robustness of models under data distribution shifts and noise injection. A positive outcome of the project will address energy and cost issues of AI and help me progress my academic career in this interdisciplinary field.

Keywords: deep learning,neuroscience,biologically plausible learning,system identification,vision system,energy efficient
Molecular dissection of viral genomes for future antiviral treatments (MEDICATE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Prevention,  Diagnosis and T reatment of Human Diseases
Panel description: Medical technologies  and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions , pharmacology, preventative  medicine, epidemiology and public health , digital medicine
Countries involved: Denmark
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 2420301.0
EU funding (EUR): 2420301.0
Participants: 1
Project status: SIGNED

Viruses are obligate pathogens with massive impact on global health. Nearly all currently marketed antiviral drugs target viral enzymes. We hypothesize that hitherto unrecognized virus-encoded transmembrane proteins may prove valuable as pharmaceutical targets. Through a systematic dissection of viral genomes (WP1) we will identify potential transmembrane segments in a defined workflow. We will predict their function in silico (WP2) as being either (A) internalizing transmembrane proteins or (B) ion channels. Segments showing promising transmembrane and/or internalization motifs will be expressed, functionally characterized and evaluated in proof-of-modality assays (WP3). The newly identified internalizing proteins may transfer a molecular Trojan horse, a toxin payload, into infected cells, which will be tested with a generic fusion-toxin protein (Mode A), while the potential viral ion channels (viroporins) will be tested for their ability to mediate a current via formation of ion pores (Mode B). In WP4, the internalizing transmembrane proteins passing the WP1-3 attrition will be utilized for initial drug discovery and fusion-toxin protein design. Through co-internalization with the viral transmembrane protein, the toxins may prevent long-term pathologies by eradicating the virus. The novel viroporins will be screened for inhibition using ion channel drugs regulatory approved for other purposes. This ensures fast access to the market through drug repurposing, allowing for prevention and treatment of acute virus pathology. This project on new ground entails high risk, yet also creates opportunities of enormous gain, considering the huge unmet medical needs for effective and specific antiviral therapeutics. However, the biggest gain is the potential for ground-breaking discoveries regarding virally encoded transmembrane proteins, thereby bridging basic virology and molecular pharmacology with structural biology and early drug discovery in a highly innovative manner.

Keywords: viroporins g protein coupled receptors molecular pharmacology ligand receptor interaction