Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Computing Nonlinear Functions over Communication Networks (SENSIBILITÉ)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Systems and Communication Engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: France
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-05-01
End date: 2028-04-30
Duration (months): 60.0
Total project cost (EUR): 1499061.25
EU funding (EUR): 1499061.0
Participants: 1
Project status: SIGNED

SENSIBILITÉ describes a novel theory for distributed computing of nonlinear functions over communication networks. Motivated by the long-lasting open challenge to invent technologies that scale with the network size, this intriguing and far-reaching theory elevates distributed encoding and joint decoding of information sources, to the critical network computing problem for a class of network topologies and a class of nonlinear functions of dependent sources. Our theory will elevate distributed communication to the realm of distributed computation of any function over any network. Overall, this problem requires communicating correlated messages over a network, coding distributed sources for computation of functions, and meeting the desired fidelity given a distortion criterion for the given function. In such a scenario, the classical separation theorem of Claude Shannon, which modularizes the design of source and channel codes to achieve the capacity of communication channels, is in general inapplicable. SENSIBILITÉ envisions a networked computation framework for nonlinear functions. It will use the structural information of the sources and the decomposition of nonlinear functions for efficient distributed compression algorithms. For scalability, it will design message sets that are oblivious to the protocol information. For parsimonious representations across networks, it will grip the curious trade-off between quantization and compression of functions. SENSIBILITÉ has a contemporary vision of network-driven functional compression via accounting for the description length and time complexities towards alleviating large-scale, real-world networks of the future. The advanced theory will be tested in a real-life setting on applications of grand societal impact, such as over-the-air computing for the internet-of-things, massive data compression for computational imaging, and zero-error computation for real-time holographic communications.

Keywords: nonlinear functions over communication networks,distributed compression of nonlinear functions,networked nonlinear computation
Uncovering the regulatory landscape of Arabidopsis thaliana responses to cold temperatures (COOLCASE)

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: 2023-12-01
End date: 2025-11-30
Duration (months): 24.0
Total project cost (EUR): 165312.96
EU funding (EUR): 165312.96
Participants: 1
Project status: SIGNED

Plants, as sessile organisms, must constantly adapt to variable environmental conditions, among which temperature is of paramount importance in the context of climate change. Indeed, in future years, despite an expected rise in temperatures due to global warming, we can also expect an increase in the frequency of severe cold periods for which plants are not prepared. Therefore, understanding the molecular processes that allow plants to react and adapt to cold is essential for developing cold-resistant plants, which is ultimately indispensable for global food security. In recent decades many studies have embarked in addressing this issue. However, the global regulatory landscape underlying cold acclimation and adaption of plants to noisy and fluctuating natural cold conditions remain poorly investigated. Low temperatures are known to have a direct effect on chromatin accessibility which is directly linked to gene expression. Therefore, the aim of this project is to investigate the dynamics of the coding and non-coding Arabidopsis thaliana transcriptome, as well as changes in chromatin accessible sites, in response to regimes of decreasing temperatures. To this end, a comparative analysis of deep-coverage RNA-seq (transcriptome) and ATAC-seq (chromatin accessibility) will be performed on A. thaliana plants grown over weeks of fluctuating temperatures, mimicking natural cold conditions of autumn and early winter. The proposed experimental design will reveal novel coding genes, long non-coding RNAs (lncRNAs) and potential distal regulatory elements involved in Arabidopsis responses to cold. Thus, by combining interdisciplinary and mutually reinforcing approaches including (epi)genomics, (epi)genetics, transcriptomics and bioinformatics, the proposed project will significantly improve our understanding of the molecular mechanisms required for plant adaptation to cold temperatures likely delivering valuable tools for future breeding of cold resilient crop species.

Keywords: arabidopsis thaliana,responses to cold temperature,transcriptional regulation,epigenetics,long non coding rnas,chromatin accessibility,rna seq,atac seq
Battery management by multi-domain digital twins (BATMAX)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Cross-sectoral solutions for the climate transition
Action type: Research and Innovation actions
Partnership: Batteries (co-programmed)
Countries involved: Finland,Norway,Germany,Sweden,France,Cyprus,Switzerland,Belgium,North Macedonia
Call: Physics and data-based battery management for optimised battery utilisation (Batteries Partnership) (HORIZON-CL5-2022-D2-01, 2022)
Start date: 2023-05-01
End date: 2026-10-31
Duration (months): 42.0
Total project cost (EUR): 4994575.5
EU funding (EUR): 4994575.5
Participants: 14
Project status: SIGNED

Physics and data-based battery management by multi-domain digital twins (BATMAX) sets out to pave the way for advanced next generation data-based and adaptable battery management systems capable of fulfilling the needs and requirements of various mobile and stationary applications and use cases. The main objective of the project is to contribute to improving battery system performance, safety, reliability, service life, lifetime cost and therefore to maximise the value created by operation of the battery systems in various kinds of end use applications. This is approached by creating a framework for next generation of battery management based on large amounts of data, both experimental, operational and synthetic, adaptable physics-based models, suitable reduced-order models for both physical BMS algorithms and real-time multi-scale digital twins. BATMAX develops a framework to efficiently parameterise physics-based models is essential to reduce the cost of model development and encourage their use in BMSs. Advanced numerical methods accelerate the extraction of relevant parameters from experimental and numerical simulation data. BATMAX develops hardware and sensorisation on cell and system level for collection and communication of battery measurement data and integrates an open source BMS platform to a laboratory scale prototype system. The BATMAX BMS framework (hardware and software) will enable to exploit advanced battery models with integrated digital twin framework that is capable to cope with high amount of measured data, which will enable to monitor the battery aging in depth and to facilitate the key functions of systems. A central output is an extensive multi-purpose and scalable digital twin framework is developed and validated for advanced battery management. Key impacts from BATMAX contribute to 10% battery lifetime increase on average scenario, 20% performance increase in specific scenarios and contribution to lifecycle cost reduction by at least 10%.

Keywords: batteries,battery management,digital twin,physics based modelling,ai,diagnostics,prognostics,predictive maintenance
Competitive and sustainable lithium solid-state battery technology enabling large scale production for automotive application (SOLIDBAT)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Cross-sectoral solutions for the climate transition
Action type: Innovation actions
Partnership: Batteries (co-programmed)
Countries involved: Spain,Slovakia,Germany,Canada,France,Belgium,Italy,Austria
Call: Advanced materials and cells development enabling large-scale production of Gen4 solid-state batteries for mobility applications (Batt4EU Partnership) (HORIZON-CL5-2023-D2-02, 2023)
Start date: 2024-12-01
End date: 2028-11-30
Duration (months): 48.0
Total project cost (EUR): 8820576.75
EU funding (EUR): 7588475.63
Participants: 14
Project status: SIGNED

The growing energy demand aggravated by the high dependency on non-renewable fossil fuels has severely impacted on climate change, as evidenced by Earth’s global average temperature increase in the last century. Road transport is responsible for around three quarters of transport-related greenhouse gas (GHG) emissions, thus decarbonization of this sector is necessary to achieve a climate neutrality. Battery Electric Vehicles (BEVs) are a crucial enabler for accomplishing this target. In this frame, SOLIDBAT proposes a disruptive solid-state battery (SSB) technology to meet the challenging demands of the automotive sector. The focus is on high energy density SSB (400 Wh/kg, 1000 Wh/L) enabling fast charging, long life, and safety. To achieve these goals, SOLIDBAT entails innovation in five main areas: i) Digital tools and models for materials development and cell parameters design; ii) High capacity and water processable surface protected nickel-rich NMC cathode active material; iii) 3D-texturized high energy lithium metal anode coated with a protective artificial solid-electrolyte interphase (SEI); iv) Highly conductive and electrochemically stable hybrid gel polymer electrolyte (HGPE), crosslinked in-situ; and v) Scalable solutions for SSB technology manufacturing that are easily adaptable to current lithium-ion technology, thus hastening the introduction into the EV market. Moreover, cost, sustainability and recycling are prioritized along the whole project development, in e.g., reducing raw material use and avoiding organic solvents for greener processing. SOLIDBAT's collaborative consortium spans the whole battery value chain, fostering European innovation and industry growth. By establishing SSB manufacturing in Europe, SOLIDBAT contributes to climate-neutral energy and transport transitions, as well as avoids the dependence of battery production on Asian countries such as the current situation for Li-ion technology.

Keywords: solid state battery,hybrid gel polymer electrolyte,nickel rich cathode,3d structured lithium metal anode,electrochemical model,aqueous binder,sustainable manufacturing,safety,recycling,ev
Multi-omic data driven drug discovery and indication prioritisation platform in oncology (mCUBE)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: France
Call: EIC Accelerator Open 2021 (HORIZON-EIC-2021-ACCELERATOROPEN-01, 2021)
Start date: 2022-08-01
End date: 2024-07-31
Duration (months): 24.0
Total project cost (EUR): 3565412.5
EU funding (EUR): 2495788.75
Participants: 1
Project status: CLOSED

With 20 % of patients responding to their treatment and 10M dying every year, cancer is a recognised societal challenge. While data-driven approaches can double the clinical trials success rate, the pharma industry lacks tools to leverage the large amount of data generated in their drug discovery processes. We are developing mCUBE, an AI-powered platform that scales precision oncology for drug discovery and repurposing. Best-in-class and user-centric platform, mCUBE encapsulates a cancer-agnostic clinical data harmonisation module with an integrative approach to multi-omic data analysis. As our solution increases in value and allows us to move up the value chain, our initial SaaS business model will progressively switch to a drug discovery model. With mCUBE, we will identify and validate new drug candidates to license IP assets to pharma companies. By 2025, we expect to sign a deal of €25M with a biopharma partner. We will disrupt he oncology market for the benefits of cancer patients.

Keywords: machine learning,personalised medicine,omic analysis,drug discovery
Understanding gravity using a COMprehensive search for fast-spinning Pulsars And CompacT binaries (COMPACT)

Framework: Horizon Europe — 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: Germany
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-05-01
End date: 2028-04-30
Duration (months): 60.0
Total project cost (EUR): 2496563.0
EU funding (EUR): 2496563.0
Participants: 1
Project status: SIGNED

The description of gravity by Einstein's theory of general relativity has passed all its experimental tests with flying colours including the recent groundbreaking direct detection of gravitational waves. However, there still remain some glaring shortcomings, ranging from its irreconcilability with quantum mechanics to the dark energy that accelerates the expansion of our Universe. There are also several alternative theories that contend to be the best descriptor of gravity. Hence it is imperative to find new laboratories to test these theories and further our understanding of gravity. This is where pulsars, a special type of star, prove useful. Pulsars are remarkable laboratories in space. Observations of pulsars at radio wavelengths provide rare opportunities to understand how gravity works near strongly self-gravitating bodies, and provide clues on the state of matter at supra-nuclear densities. This provides important complementary knowledge to our understanding of gravity and nuclear physics compared to other experiments such as ground-based gravitational wave detectors. COMPACT is an ambitious project that aims to discover some of the most extreme classes of pulsar laboratories. The project will perform Petabyte-scale data acquisition and processing to search for two specific kinds of pulsars: (i) relativistic binary pulsars with orbital periods of just a few minutes to a few hours around other neutron stars, white dwarves or black holes and (ii) pulsars with extremely fast spin periods of the order of a millisecond or less. Even a single discovery of either class of pulsars has the potential to fundamentally change (or) solidify a huge range of poorly known physics from the internal composition of neutron stars, how they evolve in binaries, to our understanding of the effects of strongly gravitating bodies to the space-time in their vicinity. The survey also has immediate and profound implications for gravitational wave astronomy across multiple wavelengt

Keywords: neutron stars,pulsars,globular clusters,general relativity,high performance computing,radio telescopes,signal processing
Framework for Programmable Atomic Large-scale Quantum Simulation (PASQuanS2)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: Digital & Emerging Technologies for Competitiveness and Fit for the Green Deal
Action type: Framework Partnership Agreement
Countries involved: Germany,Austria,France,Spain,Italy,Slovenia,Croatia,Finland
Call: Framework Partnership Agreement for developing large scale quantum simulation platform technologies (FPA) (HORIZON-CL4-2021-DIGITAL-EMERGING-02, 2021)
Start date: 2023-03-01
End date: 2027-02-28
Duration (months): 48.0
Total project cost (EUR): 0.0
EU funding (EUR): 0.0
Participants: 31
Project status: SIGNED

The Framework for Programmable Atomic Large-scale Quantum Simulation (PASQuanS2) aims to transform the European landscape for programmable quantum simulators, delivering internationally leading platforms involving over 1000 neutral atoms in optical tweezer arrays and also in optical lattices. Over a Framework Partnership Agreement delivering two Specific Grant Agreements, we will bring together partners from academia and industry (including technology enablers, platform developers, and end-users) to address central technological challenges. We will connect technologies across national borders and use our combined expertise and technologies to further scale up the system size, reduce noise and temperature, and improve stability. We will test and transfer know-how between trapped ion and neutral atom platforms and integrate the hardware with application-specific software stacks for analogue solutions of relevant real-world problems, including verification and optimal control techniques. We will facilitate the expansion and networking of the supply chain and startup companies delivering platforms, ensuring the ultimate delivery of technology readiness level (TRL) 6-7 quantum simulators, including both cloud-based platforms, and quantum simulators linked with existing high-performance computing infrastructure. We will work with the end-user community across academia and industry to identify new specific applications where quantum simulators provide a practical quantum advantage over traditional high-performance computing. We will particularly address potential applications in materials science, quantum chemistry, logistics, and optimisation – which are relevant across many sectors. We will also deliver a clear plan for dissemination, exploitation, and communication. This will include developing and protecting intellectual property, and to expand awareness of quantum simulators and their capability and applications amongst policy makers, industry, and the general public.

Keywords: analogue quantum simulation,optical lattices,neutral atoms,tweezer arrays,rydberg atoms,trapped ions,quantum annealing,variational quantum eigensolver,practical quantum advantage
Precision Synthesis of Magnetic Graphenoids as Room Temperature Two-Qubit Systems (MG-Spin-Qbits)

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,United Kingdom
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-05-01
End date: 2027-04-30
Duration (months): 24.0
Total project cost (EUR): 189687.36
EU funding (EUR): 189687.36
Participants: 2
Project status: SIGNED

Quantum computing technologies face a fundamental challenge of scalability, primarily due to the lack of materials capable of performing error-free quantum operations at room temperature. Molecular graphenoids (MGs) have displayed superior quantum properties at room temperature, making them an attractive alternative. This project will bring novel magnetic graphenoids with atomic precision through scalable solution (wet) chemistry and study them as two-qubit systems at room temperature. This proposal will also uncover the suitability of the spin arrangement (ferromagnetic or antiferromagnetic) in MGs as qubit systems with implications for future developments in the field of molecular quantum materials. In the second part, the project focuses on increasing the spin coherence time, one of the key parameters for quantum operations at room temperature. This will be achieved through structural tuning of MGs to minimize the spin decoherence channels. The overarching goal of the proposed work is to introduce new graphenoids as two-qubit systems, answer a fundamental question, and use the new knowledge generated to tune the respective MGs to achieve a spin coherence time (~100 μs) at room temperature, bringing a major advancement in the field. The proposed study will be of critical fundamental and practical significance by providing novel graphenoids with potential applications in future quantum technologies. The nature of the proposed project is highly interdisciplinary, involving chemistry, physics, molecular magnetism, and material science. The project is in line with the European objectives of sustainable industrial growth and climate change mitigation. My supervisors, Prof. Feng and Prof. Bogani, have the experience and resources to effectively supervise me and ensure the success of the MSCA action. The fellow will get substantial career enhancement opportunities for future leadership roles through skills development and extensive training.

Keywords: magnetic graphenoids,organic biradicals,molecular qubits,molecular magnetism,nanographene magnetism,organic spintronics
ETIP Hydropower Europe (ETIP Hydropower)

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: Coordination and support actions
Countries involved: France,Belgium,Germany,United Kingdom
Call: Support to the activities of the ETIPs and technology areas of the SET Plan (HORIZON-CL5-2021-D3-02, 2021)
Start date: 2022-09-01
End date: 2025-12-31
Duration (months): 40.0
Total project cost (EUR): 962645.94
EU funding (EUR): 962645.94
Participants: 8
Project status: SIGNED

The ambitious plan for an energy transition in Europe now seeks to achieve a low-carbon climate-resilient future in a safe and cost-effective way, serving as an example worldwide. In many European countries, the phase out of nuclear and coal generation has started with a transition to new renewable sources comprising mainly of solar and wind for electricity generation. However, solar and wind are variable energy sources and difficult to align with demand. Hydropower which strongly contributed during the last century to industrial development and welfare, provides high flexibility and storage services required for ensuring energy security and delivering more solar and wind power onto the grid. Hydropower has all the characteristics to serve as an excellent catalyst for a successful energy transition. Building from this extensive programme of consultation, the Hydropower Europe Forum (https://hydropower-europe.eu/) has developed from 2018 to 2022 a Research and Innovation Agenda (RIA) as well as a Strategic Industry Roadmap (SIR). The Consortium is particularly motivated (1) to integrate its RIA and SIR into the Strategic Energy Technology (SET) Plan roadmap establishing links with national authorities and (2) to consolidate its strong networks into a sustainable association serving not only the hydropower sector but the whole renewable energy sector contributing towards the European Green Deal. Built on the more than 600 stakeholders representing all sectors, who actively participated through the Hydropower Europe Forum, ETIP HYDROPOWER will further align and coordinate the industry RIA and SIR strategies to provide consensus-based strategic advice to the SET Plan covering analysis of market opportunities and R&I funding needs, biodiversity protection and ecological continuity. Another goal is, in one with Europe and the latest EU climate and energy related policies, deepening the understanding of innovation barriers and exploitation of research results.

Keywords: etip hydropower europe will support the role of hydropower as catalyst for a successful energy transition through the implementation of a randi agenda and strategic actions with widespread consultation