Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Advanced MEAs ensuring high efficiency HDV (MEAsureD)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Public-private partnerships
Destination: Clean Hydrogen
Action type: Research and Innovation actions
Partnership: CLEANH2 (JU-JTI)
Countries involved: Greece,Germany,Austria,Slovenia,Spain,Czechia
Call: Innovative and optimised MEA components towards next generation of improved PEMFC stacks for heavy duty vehicles (HORIZON-JTI-CLEANH2-2022-1, 2022)
Start date: 2023-06-01
End date: 2026-05-31
Duration (months): 36.0
Total project cost (EUR): 2989060.0
EU funding (EUR): 2989060.0
Participants: 8
Project status: SIGNED

MEAsureD targets to provide advanced, cost-effective proton exchange membranes (PEM) and stable electrodes for the membrane electrode assembly (MEA) at higher temperatures (>160 oC). The innovative HT-PEMs are based on the ion-pair technology that has been demonstrated recently as an alternative competitive for the HDV sector. Further development will be held during MEAsureD in 3 technological pillars (electrodes, membrane and MEA assembly) The incorporation and simulation of the advanced MEA into a FC stack will ensure sustainability in Heavy duty Vehicle (HDV) applications without sacrificing performance and durability bringing the suggested technology in TRL4. The strategic objective of MEAsureD is to combine experimental approaches and simulations/modelling to improve the understanding and prediction of the MEA performance and durability by developing of testing procedures and harmonisation activities in coordination with JRC. MEAsureD targets to optimize most of the MEA components. This optimization will lead to the improvement of the overall FC performance and stability. MEAsureD will achieve specific power density (>1.2 W/cm2 at 0.65 V), , durability (20.000 h) of the HT-PEM (operating temperature of >160 °C) and with lower cost suitable for the HDV industry. Using ion-pair technology, MEAsureD will be able to reduce the platinum metal group (PGM) content of the FC stack by employing new type of catalysts and reduce the cost and the weight. Moreover, high stable ionomers and membranes under dry conditions and high durability catalysts, catalyst support and membranes will be studied to improve MEA’s performance. Lastly, the environmental impact of the developed technology (recyclability and circularity of the materials) as well as the applicability to other transport sectors, such as, maritime, aviation and railway will be researched.

Keywords: mea membrane electrode assemblies,fc hydrogen fuel cell,hdv heavy duty vehicles,ht pemfc high temperature polymer electrolyte membrane,ion pair,simulation tools,modelling
Robust Explainable Controllable Standard for drug Screening (RECeSS)

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,France
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-05-01
End date: 2025-04-30
Duration (months): 24.0
Total project cost (EUR): 189687.36
EU funding (EUR): 189687.36
Participants: 2
Project status: CLOSED

In 2021, drug development pipelines last 10 years in average, and cost around $2 billion, while facing high failure rates, as only around 10% of Phase 0 drug candidates reach the commercialization stage. These issues can be mitigated through drug repurposing, where existent compounds are systematically screened for new therapeutic indications. Collaborative filtering is a semi-supervised learning framework that leverages known drug-disease matchings to make novel recommendations. However, prior works cannot be leveraged because of their lack of focus on human oversight and robustness to biological data. This project aims at bridging the gap between drug research and collaborative filtering by implementing a RECeSS classifier, that is (1) Robust: deals with class imbalance in drug-disease matchings, and missing drug/disease features, by semi-supervised learning; (2) Explainable: connects predicted matchings to perturbed biological pathways through enrichment analyses, based on the learnt importance of features in the model; (3) Controllable: guarantees a bound on the false positive rate using an adaptive learning scheme; (4) Standard: algorithms are trained and tested by a standardized open-source pipeline. Predicted matchings will be independently validated by structure-based methods. This innovative interdisciplinary project relies on a solid basis of newly curated data (up to 1,386 drugs, 1,599 diseases, 12 feature types). It is primarily supervised by Pr. Olaf Wolkenhauer, at SBI Rostock, whose team has an expertise in drug repurposing, in systems biology and data imbalance in machine learning. This project will help the fellow develop new skills, and enhance her professional maturity in academia. In the short term, this would yield the first method that fully integrates biological interpretation and risk assessment to collaborative filtering-based repurposing. Long-term outcomes might help define sustainable and transparent drug development for rare diseases.

Keywords: drug repurposing collaborative filtering in silico drug screening statistical testing
Fundamental advances for the fire safety of tall timber structures including the fire decay phase (FIReSafeTimber)

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: Belgium,United Kingdom,Switzerland
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-10-01
End date: 2024-09-30
Duration (months): 24.0
Total project cost (EUR): 175920.0
EU funding (EUR): 175920.0
Participants: 3
Project status: CLOSED

Urban densification, sustainability drivers and technological advances foster the development of high-rise structures using bio-based materials like engineered wood products. Their main worldwide barrier relates to fire safety. Although a natural fire has a decay phase, structural capacity is traditionally assessed according to a standard fire curve: an unrealistic ever-increasing thermal exposure with time, conceived as worst-case design scenario. This results in inadequate assessment for timber, often disqualifying it as potential material. Also, the decay phase, deemed less onerous due to its lower temperatures, is generally omitted from structural calculations. However, for structural performance it is of crucial importance for timber. Unlike traditional non-combustible construction materials, wood loses its mechanical properties at relatively low temperatures. Thus, the precise interaction between fire and structure needs to be understood because the temperature propagation through the load-bearing timber can unexpectedly lead to structural collapse, even after a fire seems extinguished. Current regulations fail to consider this hazardous issue and available literature on the matter is limited. Fundamental technical issues still need to be resolved and pertain to the nature of the fire dynamics and the resulting deterioration of the engineered timber mechanical properties. In FIReSafeTimber computational models are built to simulate the thermal exposure to structural elements for various fire dynamics conditions (e.g., fuel and compartment characteristics). Bench-scale and full-scale fire tests are conducted on loaded timber structural elements with varying fire decay phase. FIReSafeTimber will formulate a novel constitutive model to predict the heat transfer and the structural capacity of timber elements and will develop performance-based methodologies for the fire-safe design of timber structural systems that include the effects of the fire decay phase.

Keywords: timber fire safety fire decay phase timber structures performance based design fire dynamics structural capacity engineered wood products heat transfer charring bio based materials
Qu-Test (Qu-Test)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Cluster 4 other
Destination: Other Digital, Industry and Space destinations
Action type: Research and Innovation actions
Countries involved: Netherlands,Finland,Belgium,Germany,Austria,France,Italy,Czechia,Denmark,Spain
Call: HORIZON-CL4-QUANTUM-05-SGA - Supporting open testing and experimentation for quantum technologies in Europe (SGA) (HORIZON-CL4-2022-QUANTUM-05-SGA, 2022)
Start date: 2023-04-01
End date: 2026-09-30
Duration (months): 42.0
Total project cost (EUR): 18934689.5
EU funding (EUR): 18934689.5
Participants: 25
Project status: SIGNED

Qu-Test brings together 13 service providers for a federated network of testbeds and 11 industrial users from the European quantum community. The network brings together competences and infrastructures across Europe to offer testing and validation services. A first goal of this cooperation is to support the creation of a trusted supply chain through the validation of quantum devices, chips, components and systems by the testbed network as an independent third party. A second goal is to discuss and agree on unified sets of parameters to characterize quantum devices. Methodologies and procedures will be harmonized among the partners of the testbed network in a step towards establishing standards for quantum technologies. Qu-Test is aligned along three testbeds: quantum computing, quantum communication, quantum sensing. In more detail, the Quantum Computing Testbed will measure, characterise and validate cryogenic quantum devices, cryogenic qubits such as superconducting and semiconducting qubits, photonics qubits and ion traps. The Quantum Communication Testbed will characterize devices for Quantum Key Distribution (QKD) and Quantum Random Number Generation (QRNG) and provide design and prototyping services to support innovation in the supply chain of quantum communication technologies. Finally, the Quantum Sensing Testbed will benchmark sensing and metrology instruments provided by industry and use a large suite of quantum sensors (clocks, gravimeters, magnetometers, imagers) to validate industrial use cases aiming at generating new business cases for quantum sensing and metrology devices. With additional services of IPR support, business coaching and innovation management, Qu-Test supports the European quantum industry with a holistic one-stop-shop to move the full ecosystem forward.

Keywords: quantum technologies,testing,metrology
Propulsion Of Ships with E-Methanol In favour of the Decarbonisation Of Naval transport (POSEIDON)

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: Innovation actions
Countries involved: Germany,France,Italy,Spain,Greece,Sweden,Switzerland
Call: Demonstration of complete value chains for advanced biofuel and non-biological renewable fuel production (HORIZON-CL5-2022-D3-02, 2022)
Start date: 2023-09-01
End date: 2027-08-31
Duration (months): 48.0
Total project cost (EUR): 11868392.5
EU funding (EUR): 9663172.39
Participants: 19
Project status: SIGNED

The POSEIDON project aims to facilitate the use of e-methanol as e-fuel in shipping by demonstrating innovative solutions along the value chain steps: 1. two complementary CO2 valorisation routes – biogenic CO2 from a biogas plant and industrial plant from a lime plant will be investigated, 2. A new hybrid TRL7 power-to-e-methanol technology will be built and demonstrated within a test platform allowing to re-create real case studies conditions, 3. The produced e-fuel will be tested in 2- and 4-stroke engines at testing facilities and in a pilot boat in open sea to confirm its applicability. The project will also pave the way for the future implementation of e-methanol value chains in the port areas of Valencia and Thessaloniki. Communities of practice gathering project partners and external local stakeholders interested in the e-fuel transition will be created. These communities will strengthen collaboration, raise awareness of the potentials and benefits of renewable e-fuels, help members share their vision and discuss requirements and challenges. This will be supported by detailed case study assessment: extensive tests will be performed in a Power-to-X test platform and simulations enabling to evaluate environmental, economic and social mid-term to long-term impacts will be carried out. Market studies and business modelling activities will be done to have a clear view of the deployment potential at EU level. To foster market uptake, an EU deployment roadmap and a replication tool allowing external stakeholders to conduct their own pre-feasibility assessment will be developed. A public project guidebook outlining the main key exploitable results and policy recommendations will be published. To achieve all these results, the project will build upon the wide expertise of its 19 partners. The consortium consists of a well-balanced team of industrial partners (8), research partners (5), business support organisations (2), ports (2), an association and a public agency.

Keywords: e methanol,renewable e fuel for shipping,e methanol based value chains,biogenic and industrial co2 sources valorisation
Advanced biorefinery of fish processing by-products for sustainable production of foods and nutraceuticals (Marine Biorefinery)

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: Ireland
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 268568.64
EU funding (EUR): 268568.64
Participants: 1
Project status: SIGNED

While global fish depletion, environmental pollution, and food security are challenging modern society, over 138 million tons of fish processing by-products (FPBs), including fish processing wastes, by-catches, and marine invasive species, yearly produced in Europe are underutilised with about 55.2 million tons of these are annually landfilled as Category-3 waste. This not only costs €179 per ton for waste treatment and contribute to environmental pollution but also wastes marine bioresources because FPBs are rich resources of proteins, collagen, chitin, lipids, omega-3 fatty acids, calcium, and minerals with commercial applications in foods and nutraceuticals. Efficiently utilising these FPBs for value-added products would not only mitigate the above pressing challenges but also minimise processing costs and produce more food/bioproducts for the increasing population towards sustainable production for a circular blue bioeconomy. However, the conventional recovery of nutrients from FPBs is still challenging due to low extraction efficiency, the complexity of the multi-step process, and high production costs. This project aims to develop an advanced process for multi-product biorefinery of FPBs to efficiently produce nutritional proteins, functional collagen, omega-3-rich oils, and calcium-rich minerals for foods and nutraceuticals by integrating different technologies with synergistic effects. While emerging technologies such as microwave, ultrasound, and supercritical CO2 can physically and biologically intensify the process for enhancing efficiency, shortening processing time, saving energy, and minimising solvents used, the use of a two-phasis system (TPS) composed of switchable hydrophilic/hydrophobic DESs/NADESs enables simplifying the biorefinery process and facilitate separation and product recovery for dramatically saving production costs. Such significant advances combined with optimisation make the proposed process efficient for the biorefinery.

Keywords: marine biorefinery,sustainable production,marine nutrients,food recovery,
Scaling and Concentration Laws in Information Theory (SCLIT)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Systems and Communication Engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: United Kingdom,Spain
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2024-12-01
End date: 2029-11-30
Duration (months): 60.0
Total project cost (EUR): 2499995.0
EU funding (EUR): 2499995.0
Participants: 2
Project status: SIGNED

Shannon’s 1948 paper established the mathematical foundations of digital compression and transmission and paved the way for the information age. A notion embedded in Shannon’s and most work in Information Theory is the concept of rate, defined as the exponential growth rate of the number of messages. The probabilistic law governing general information processing systems may be such that the optimal number of messages does not scale exponentially with the length of the sequences. The vast majority of the Information Theory literature assumes an exponential number of messages and thus, ignores the rich amount of possible scaling functions in important settings. When the system probability law is such that the optimal rate scaling is not exponential, standard techniques cannot be applied and new techniques must be sought. A fundamental understanding of the impact of general scaling laws is crucial to harvesting the potential gains in practical system design. This project is aimed at contributing towards the ambitious goal of providing a unified framework for the study of Information Theory with arbitrary scaling laws. The unified framework will be based on information spectrum and concentration techniques will also consider the penalties incurred by sub-optimal decoding for systems described by general probabilistic laws. The project will also provide coding solutions that approach the theoretical limits. This unconventional and challenging treatment of Information Theory will advance the area and will contribute to Information Sciences and Systems disciplines where Information Theory is relevant. A comprehensive study of the fundamental limits and optimal code design with general scaling laws will represent a major step forward in the field, with the potential to provide new tools and techniques to solve open problems in close disciplines.

Keywords: information theory,data transmission,digital communications,coding theory,data compression
Research Infrastructure Access in NAnoscience & nanotechnology (RIANA)

Framework: Horizon Europe — Excellent Science
Programme: Research infrastructures
Theme: Research infrastructures
Destination: Services and infrastructures
Action type: Research and Innovation actions
Countries involved: Germany,Sweden,Italy,France,Romania,Portugal,Croatia,Poland,Netherlands,Belgium,United Kingdom,Spain,Czechia,Norway,Lithuania,Estonia,Latvia,Austria,Hungary,Slovenia,Finland,Greece
Call: Research infrastructure services to enable R&I addressing main challenges and EU priorities (HORIZON-INFRA-2023-SERV-01, 2023)
Start date: 2024-03-01
End date: 2028-02-29
Duration (months): 48.0
Total project cost (EUR): 14496952.51
EU funding (EUR): 14496952.5
Participants: 57
Project status: SIGNED

Research in the fields of nanoscience and nanotechnology is vital for sustainability globally: advancement in nanoscience and nanotechnology cannot be achieved without using research infrastructures (RI). RIANA encompasses 7 European networks of top-level RIs to cover the most advanced techniques relevant for synthesis, nanofabrication, processing, characterization, analytics, as well as simulation capacity. Highly customised and efficient access to 69 infrastructures is coordinated via a single-entry point and enabled through comprehensive Science and Innovation Service by senior scientists, experts for the transfer of technology from academia to industry, and highly trained Junior Scientists. The Junior Scientist boost RI experience to an entirely new level: they provide customised Science Service supporting users from initial ideas to hands-on experiments, data analysis and dissemination of results to generate the greatest impact from access to world-class RI. This core of RIANA is aligned to attract experienced and new users from academia or industry making their promising ideas a success and push them to higher TRL. RIANA is flexible to upcoming emergent scientific topics and needs: together with stakeholders from the nanocommunity, RIANA implements the opportunity to offer flexible access to additional infrastructures in, and even outside of Europe beyond the current consortium, and to direct the Science Service towards evolving user needs via additional specialised Junior Scientists. Based on the four years of experience, the RIANA consortium will develop a roadmap for the future of the nanoscience and nanotechnology at European RIs.

Keywords: research infrastructure access nanoscience nanotechnology
Adaptive Multi-Drug Infusion Control System for General Anesthesia in Major Surgery (AMICAS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Systems and Communication Engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Belgium
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2022-10-01
End date: 2027-09-30
Duration (months): 60.0
Total project cost (EUR): 1927325.0
EU funding (EUR): 1927325.0
Participants: 1
Project status: SIGNED

A major challenge in anesthesia is to adapt the drug infusion rates from observed patient response to surgical stimuli. The patient models are based on nominal population characteristic response and lack specific surgical effects. In major surgery (e.g. cardiac, transplant, obese patients) modelling uncertainty stems from significant blood losses, anomalous drug diffusion, drug effect synergy/antagonism, anesthetic-hemodynamic interactions, etc. This complex optimisation problem requires superhuman abilities of the anesthesiologist. Computer controlled anesthesia holds the answer to be the game changer for best surgery outcomes. Although few, clinical studies report that computer based anesthesia for one or two drugs outperforms manual management. In reality, clinical practice mitigates a multi-drug optimization problem while accommodating large patient model uncertainty. The anesthesiologist makes decisions based on future surgeon actions and expected patient response. This is a predictive control strategy, a mature methodology in systems and control engineering with potential to faster recovery times and lower risk of complications. The goal of this proposal is to advance the scope and clinical use of computer based constrained optimization of multi-drug infusion rates for anesthesia with strong effects on hemodynamics. I plan to identify multivariable models and minimize the large uncertainties in patient response. With adaptation mechanisms from nominal to individual patient models, we design multivariable optimal predictive control methodologies to manage strongly coupled dynamics. To maximize performance of the closed loop, we model the surgical stimulus as a known disturbance signal and additional bolus infusions from anesthesiologist as known inputs. I am convinced that integration of human expertise with computer optimization is a successful solution for breakthrough into clinical practice.

Keywords: multivariable control,model uncertainty,convolutional neural networks,predictive control,interaction,anomalous diffusion,drug effect,general anesthesia,cardiac surgery,human expertise