Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Highly sensitive detection of single microwave photons with coherent quantum network of superconducting qubits for searching galactic axions (SUPERGALAX)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Germany,Italy,Italy,United Kingdom
Call: FET-Open Challenging Current Thinking (H2020-FETOPEN-2018-2019-2020-01, 2019)
Start date: 2020-01-01
End date: 2023-12-31
Duration (months): 48.0
Total project cost (EUR): 2456232.5
EU funding (EUR): 2456232.5
Participants: 7
Project status: SIGNED

Detection of single photons in the microwave range has a number of applications ranging from galactic dark matter axions searches to quantum computing and metrology. We propose a novel approach to acquisition of extremely low energy microwave signals (~1 GHz), based on the general concept of a passive quantum detection. For such highly sensitive detector (quantum antenna) the key novel concept we intend to use is the coherent quantum network composed of a large amount of strongly interacting superconducting qubits embedded in a low dissipative superconducting resonator. We will fabricate and explore the dynamics of coherent quantum networks based on two types of superconducting qubits: transmons and flux qubits. A spatially distributed network of superconducting qubits interacting off-resonance with the incoming radiation, shows the collective ac Stark effect that can be measured even in the limit of single photon counting. The interaction of the signal with the collective quantum states occurring in the network of superconducting qubits has the fundamental character of a quantum non-demolition measurement, whereby the quantum states of the signal and the collective states of qubits become gradually entangled. In particular, by employment of the network of large number of qubits (N) and utilization of a collective mode established in the network, we expect to exceed the standard quantum limit and reach the so-called Heisenberg limit of sensitivity which is proportional to 1/N instead of ~1/√N in case of N non directly interacting qubits. Assessment of the progress will be done by testing arrays with increasing number of superconducting qubits by using complementary experiments with different single photon sources. The feasibility of the superconducting network detector for galactic dark matter axions search will be finaly tested by axion conversion experiment in a magnetic field.

Keywords: superconducting qubits,driven superconducting qubits networks,collective ac stark effect,single microwave photon detector,dark matter axions
Numerical Simulations of the Milky Way's Accretion History (VIA LACTEA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Universe sciences
Panel description: Astro-physics/-chemistry/-biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: Spain,Germany
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2021-11-01
End date: 2026-10-31
Duration (months): 60.0
Total project cost (EUR): 1498750.0
EU funding (EUR): 1498750.0
Participants: 2
Project status: SIGNED

The second data release of the Gaia satellite has revealed much complexity in the structure and kinematics of stars in the Milky Way than previously appreciated. In the disc, Gaia has shown that our Galaxy is still enduring the effects of a collision that set millions of stars moving like ripples on a pond. In the stellar halo, the data uncovered a large single debris structure pointing to a massive accretion event 10 billion years ago, at a time when the disc was in its infancy. Our basic assumptions of dynamical equilibrium and axisymmetry at the basis of nearly all mathematical models of the Galaxy are now falling short to make further progress on our inference on the Galaxy’s formation or the distribution of dark matter. Understanding the detailed time-dependent non-axisymmetric phase-space structure of the Galaxy would open new pathways to understand its detailed accretion history, potentially dating its most major perturbations. This proposal aims to explore the deep coupling between the stellar halo and the Milky Way disc and bulge, to gain new insights on the formation history of the Milky Way through its most major accretion events through a number of state-of-the-art computing techniques. Study 1 will look into studying the formation of the inner-halo through a combination of cosmological genetically modified (constrained) simulations and idealised simulations to constrain the mass and accretion time of the Gaia-Sausage progenitor galaxy (and its potential satellite population which came with it) as well as its impact on the formation of the ``thick disc'' and growth of the Galaxy past z~3-2. Study 2 will look into the impact of known satellites on the dynamical and chemical and age populations’ evolution of the Milky Way using both cosmological/isolated hydrodynamical simulations and idealised numerical N-body simulations, particularly focusing on the role of the Sagittarius dwarf in seeding the perturbations in the disc we see today.

Keywords: cosmological hydrodynamical simulations,n body simulations,gaia,galactic archeology,galactic dynamics,chemo dynamics,sagittarius,large magellanic clouds,the disc,the bulge,stellar halo
Early defects in the dynamic of the spinal sensorimotor network: is ALS a post-natal neurodevelopmental disorder ? (ADELE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Russian Federation,France
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-04-01
End date: 2022-03-31
Duration (months): 24.0
Total project cost (EUR): 190676.16
EU funding (EUR): 190676.16
Participants: 2
Project status: CLOSED

Amyotrophic lateral sclerosis (ALS) is a fatal and incurable neurodegenerative disorder caused by the loss of motoneurons in the brain and spinal cord. Each year, ALS is responsible for three-five deaths per 100000 people. ALS initiates in mid-life by muscle weakness, evolving rapidly into a generalized paralysis that leads irrevocably to death within 2-3 years of clinical onset. Despite an exploding knowledge of pathological processes acquired in adult subjects, successive clinical failures suggest that our way to consider and treat the pathology may not be the most pertinent and effective. The idea that the pathology can originate during development has received very little attention, while in the post-natal period the fundamentals of the sensorimotor system are being laid, its completeness will be central for the rest of our days. ADELE project proposes to explore ALS as a developmental disease that take roots during critical developmental stages when the synchronized activity of sensorimotor circuits is established, and that subclinical threshold defects remains silent before reaching a clinical break point. This conceptual progress, with diagnostic and early therapeutic implications, can be made possible with the recent access to network activity of the spinal cord in rodent neonates. ADELE proposes to 1) investigate the spatiotemporal network dynamics in ALS mouse neonates by recording field activity using multi-electrode array along the spinal laminae, 2) to complete this approach by behavioral study of proprioceptive integration, which is detrimental for spinal circuitry function and 3) identify activity modulating drug to restore early spinal network dynamics and subsequently influence the course of the disease. Our multidisciplinary strategy will fill knowledge gaps with the goal to propose new therapeutic intervention and open up new horizons for the patients.

Keywords: amyotrophic lateral sclerosis,sensorimotor development,spinal circuitry,local field potential,multi unit array,behaviour,therapy
Nearshore bathymetric inversion from lidars during extreme events (lidBathy)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Australia,France
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-03-01
End date: 2023-08-31
Duration (months): 30.0
Total project cost (EUR): 220958.88
EU funding (EUR): 220958.88
Participants: 2
Project status: SIGNED

The coastal science community currently lacks insights into the rapid morphological evolution of sandy beaches during extreme events. Sediment exchanges occurring between the subaerial and subaqueous regions of the beach are poorly understood, which is explained by the difficulty in measuring the seabed elevation under broken waves with sufficiently high spatial and temporal resolution. The lack of datasets which capture beaches morphological evolution limits the development of accurate numerical models for the morphological evolution of beaches and hence our capacity to predict their long-term evolution. To overcome these challenges, this project will develop lidBathy, a bathymetric inversion tool which uses high-resolution 2D lidar scans of surf zone waves. Lidar scanners have the unique capacity to directly measure both the intertidal beach topography and the sea surface elevation at high spatial (O(cm)) and temporal (O(s)) resolution. Long-range lidar and bathymetric data collected at Narrabeen (Australia) and the Field Research Facility (Duck, N.C.) will be used to validate lidBathy. Lidar data collected at these two sites during past storms will be used to create an unprecedented dataset of beach morphological evolution, in both the subaerial and subaqueous regions, during extreme events. This project will characterize sediment exchanges occurring between the swash and the surf zones by studying the role of surf zone wave properties, water levels, swash statistics and time-varying beach slope. This will provide the first study into the response of the beach system to extreme events at high spatial and temporal resolution at the two most heavily monitored sites worldwide.

Keywords: surf zone,non linear wave dynamics,beach morphological response to storms,coastal extreme events,depth inversion
Artificial Intelligence for improved PROduction efFICIEncy, quality and maiNTenance (AI-PROFICIENT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Belgium,Belgium,Greece,Serbia,Finland,Belgium,Greece,France,France,France
Call: Artificial intelligence for manufacturing (H2020-ICT-2020-1, 2020)
Start date: 2020-11-01
End date: 2023-10-31
Duration (months): 36.0
Total project cost (EUR): 5467698.75
EU funding (EUR): 5467698.75
Participants: 13
Project status: SIGNED

The AI-PROFICIENT project will pave the way for integration of advanced AI technologies to manufacturing domain through an evolution from hierarchical and reactive decision making to self-learning and proactive control strategies. The proposed approach is underpinned by predictive and prescriptive AI analytics at both component and system level, by cross-fertilizing edge and platform AI, while leveraging the human knowledge and feedback for reinforcement learning (human-in-the-loop). AI-PROFICIENT aspires to bring advanced AI technologies to manufacturing and process industry, while improving the production planning and execution, and facilitating the collaboration between humans and machines. Taking the full advantage of AI capabilities and human knowledge, AI-PROFICIENT will develop proactive control strategies to improve the manufacturing process over three main vectors: production efficiency, quality and maintenance. AI-PROFICIENT will increase the positive impact of AI technology on the manufacturing process as a whole, while keeping the human in central position, assuming supervisory (human-on-the-loop) and executive (human-in-command) roles. AI-PROFICIENT intends to identify the effective means for human-machine interaction, while respecting the safety and security requirements and following the ethical principles, in order to enable: event identification and prediction, operation scenarios simulation, transparent decision and optimal control, and personalized shop-floor assistance. Such an approach will ensure that the ambitious, but realistic project targets, namely to improve production planning and execution, as well as to facilitate the human-machine collaboration, are achievable for the European manufacturing and process industry. The implementation of this novel concept will be based on the results of several recently finished European R&D projects, which will be demonstrated in two pilot sites, under different scenarios of significant economic value.

Keywords: smart components,proactive maintenance,quality assurance,optimal production scheduling,connected worker,trustworthy ai
Let's Celebrate Cutting-Edge Science at Home! (SCIENCEatHOME)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: European researchers' Night
Action type: Marie Skłodowska-Curie actions
Countries involved: Türkiye
Call: European Researchers' Night (H2020-MSCA-NIGHT-2016, 2016)
Start date: 2016-05-02
End date: 2017-12-01
Duration (months): 19.0
Total project cost (EUR): 173250.0
EU funding (EUR): 173250.0
Participants: 1
Project status: CLOSED

RN 2016 and 2017 Turkey is organized in Ankara by the Science and Society Center of Middle East Technical University (ODTÜ) to promote public recognition of science produced via EU and nationally funded cutting-edge R&D&I projects around the theme of “Science@Home”. This innovative theme is utilized because home is a familiar concept to us all, and this familiarity has great potential to break the conceived barriers between science and society. The setting will be designed such that our audience will feel like she/he is walking in their house from their kitchen to their bathroom, on to the living room and then out to the garden and garage. This familiar surrounding will be the storytelling grounds of how science surrounds us everyday. Storytellers will be researchers themselves presenting outcomes of their research in a vast spectrum of disciplines. Science@Home proposes to train public at large to act more environmentally conscious and be educated in terms of health and safety at home. We will reach a dynamic network of science communicators through ALTRU - the Alliance of Turkish Research Universities, comprised of the top-six distinguished Turkish research-intensive universities. We aim to reach 10,000 on-site participants and 1,000,000 on-line or indirect beneficiaries regardless of their age and background. The ultimate messages conveyed via Science@Home will be “What’s up with R&I?”, “Researchers are amongst us” “Science is fun and very much integrated in our everyday lives”. Celebrating discovery and exploration can be a life-changing experience for our beneficiaries. Appreciating science that brought comfort to our daily lives will also inspire younger participants to take on careers in science. Interacting with experts while eating pizza, listening to science celebrities and partaking in a science masquerade is sure to be a truly memorable experience and will promote a positive reputation for scientific research.

Keywords: scientific outcome and products,science communication,science in the kitchen,living room,bathroom,garden and garage,environmental consciousness,science celebrities,science masquerade
Swine-farm revolution (DEPURGAN)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: SME instrument
Countries involved: Spain
Call: Boosting the potential of small businesses for eco-innovation and a sustainable supply of raw materials (H2020-SMEINST-2-2014, 2014)
Start date: 2015-09-01
End date: 2017-09-30
Duration (months): 25.0
Total project cost (EUR): 2702032.5
EU funding (EUR): 1890110.25
Participants: 1
Project status: CLOSED

During recent decades, the negative environmental impacts of livestock production and manure handling have been controlled by stricter regulations for manure storage and spreading. However, the intensification of livestock production has led to larger herds on fewer farms and industrial scale operations that produce large quantities of manure at centralised locations. As intensive livestock farming is being placed under increasing pressure to minimise the environmental impact of its operations several number of processes have been assessed as Best Available Technologies (BAT) for manure treatment while at the same time improving utilisation of the nutrient resources. However, most of the state-of-the-art solutions (SoA) are neither technologically, nor economically viable nowadays, and the most important fact, they are usually subjected to national subsidies to be profitable. EUROGAN is based in Spain (one of the largest pig producer and exporter countries worldwide) and have been active in the livestock sector since 1964. Our company, moved by real customer demand and aiming to exploit pig slurry business potential, has recently patented an innovative manure treatment process that accomplishes: 1. The concentration of contaminants in the manure (nitrogen, phosphorous, metals, bacteria, virus…) is minimized. 2. Treating the pig slurry at its origin 3. Its technical and economic viable for the farmer, being independent from national subsidies. 4. valorizes the manure (energy recovery and fertilizer) The DEPURGAN project aims to bring to the market an efficient pig manure treatment process, with an initial investment 4 times lower compared to other solutions and operation costs being also very competitive. It base its innovative character in the use of an optimized electrocoagulation reactor, that allows nitrogen abatement, while producing as residues a solid fraction that poses great calorific potential as biomass, and a NPK liquid effluent ready to be used as

Keywords: pig manure,electrocoagulation,waste valorization,environment,biomass,fertilizer,renewable energy,fertirigation,soil improve,slurry,electrochemistry
Two-dimensional liquid cell dielectric microscopy (Liquid2DM)

Framework: Horizon 2020 — 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: United Kingdom
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2019-10-01
End date: 2025-09-30
Duration (months): 72.0
Total project cost (EUR): 1998829.0
EU funding (EUR): 1998829.0
Participants: 1
Project status: SIGNED

Understanding molecular organization and dynamics which are governed by electrostatic and electrodynamics interactions on the nanoscale requires the measurement of dielectric polarization at the molecular level. Yet, this has remained a formidable challenge because standard dielectric spectroscopy is limited to the micrometer scale that is achieved by using microfabricated electrodes at low frequencies and optical approaches at high frequencies. At the same time, despite the advances in atomistic calculations, theorists struggle to predict dielectric polarization when the system approaches molecular sizes. During the last years I pioneered the development of scanning dielectric microscopy, measuring the dielectric constants of nano-objects as small as tens of nanometers in size - a resolution unparalleled world-wide. In the next five years, I will push the boundaries of the technique and probe the polarizability of liquids and biological macromolecules under two-dimensional (2D) confinement by implementing novel experimental and theoretical approaches. By engineering 2D liquid cells with controlled properties by van der Waals assembly, I will probe polarization and thermodynamic properties of nanoconfined molecular liquids for the first time on the molecular scale with fundamental implications for physical and life sciences. It will provide the experimental data to validate first-principles predictions and mean-field computational methods on which the study of condensed/soft matter and molecular biology is based. The proposal will exploit my current lead to access a key physical property of matter that has remained unknown so far, enabling a wealth of new science in a vast range of research fields, from physical sciences to chemistry and biology, and facilitating the design of devices with novel functionalities.

Keywords: scanning probe microscopy,atomic force microscopy,dielectric polarization,nanofluids,2d materials,electrostatic interactions
An integrated weather-system perspective on the characteristics, dynamics and impacts of extreme seasons (INTEXseas)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Earth system science
Panel description: Physical geography, geology, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: Switzerland
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-11-01
End date: 2023-10-31
Duration (months): 60.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Single extreme weather events can be hazardous, but for certain socioeconomic sectors the seasonal aggregation of weather is particularly harmful. Extremes on timescales up to two weeks are typically related to specific weather systems, but no such link exists for extreme seasons. Therefore, they are very difficult to meteorologically understand, despite their utmost societal relevance. This project aims at filling this gap, providing a multi-faceted analysis of different types of extreme seasons in a changing climate. Very large ensembles of climate simulations serve to investigate the characteristics and dynamics of the, e.g., hottest and coldest, and wettest and driest, season in regions worldwide. The extreme season characteristics include their spatial scale and their extremeness given the entire distribution of seasonal values in this region. Their dynamics is related to the fundamental understanding of the sequence of weather events that makes a season extreme: is it a single, highly unusual weather event that renders a season the most extreme (e.g., an unprecedented heat wave) or rather an unusual frequency of well-known weather systems (e.g., a series of strongly precipitating cyclones). These paradigms, referred to as “something new” vs. “more of the same”, are particularly relevant when considering extreme seasons in a warming climate. This project will combine state-of-the-art climate modelling, a unique set of weather-system diagnostics informed by profound dynamical understanding, and novel impact assessment pathways to address three main hypotheses: 1) different types of extreme seasons differ in terms of their spatial scale and relation to weather systems; 2) for specific types of extreme seasons, future climate simulations indicate a marked increase of extremeness; and 3) for certain socioeconomic sectors, the consequences of the future modulation of extreme seasons is more severe than inferred from climate change trend considerations alone.

Keywords: extreme season,precipitation,wind,temperature,weather systems,storm tracks,global circulation,seasonal prediction,climate warming,weather and climate impact