Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Multi-scale Optimisation for Additive Manufacturing of fatigue resistant shock-absorbing MetaMaterials (MOAMMM)

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: Austria,Spain,Germany,Belgium,Belgium
Call: FET-Open Challenging Current Thinking (H2020-FETOPEN-2018-2019-2020-01, 2019)
Start date: 2020-01-01
End date: 2024-09-30
Duration (months): 57.0
Total project cost (EUR): 3516831.25
EU funding (EUR): 3516831.25
Participants: 5
Project status: SIGNED

The emergence of metamaterials has opened a new paradigm in designing engineering parts in which the design of full structural parts can be optimised together with the metamaterial they are locally composed of. Moreover, additional morphing at local and global scales may support their adaptation to variable loading conditions and shifted user needs. As polymeric materials can fulfill simultaneously structural mechanical and functional requirements, the combination of this design paradigm with additive manufacturing can support/generate novel applications. However, many challenges are left in order for this change of paradigm to become a reality: • To improve metamaterial design and fabrication technique to produce damage tolerant metamaterials • Robust and efficient concurrent multiscale techniques should be developed as part of a multiscale optimisation problem. • Because micro-structure and material properties suffer from uncertainties affecting structural responses, techniques for uncertainty quantification should be developed for this multiscale design problem. These challenges can only be addressed by considering experimental and numerical multi-scale methods. However, current existing approaches are limited in several aspects because on the one hand of the difficulty in representing the micro-structure and characterising micro-scale constituent materials, and on the other hand in the computational cost inherent to these approaches. The overall objective of this project is to develop a data-driven methodology relying on a structural properties-micro-structure linkage and able to design optimised shock-absorption devices based on bi-stable metamaterials and printable using additive manufacturing. Targeted applications are user-optimised shock absorber devices which either potentially suffer from fatigue such as in the case of sport shoe soles or which should dissipate the maximum energy during their failure such as in the bicycle helmets.

Keywords: additive manufacturing,metamaterials,bi stable materials,data driven,stochastic multi scale
Portable solution for prehospital diagnosis of stroke in the ultra-acute phase (Predistroke)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Sweden
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2019-03-01
End date: 2019-08-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

This project will change the clinical landscape for the early and differential diagnosis of stroke – moving the diagnosis to the primary ambulance intervention site with the use of Strokefinder – an innovative medical diagnostic device based on microwave technology. Today, stroke is responsible for 405,000 deaths (9%) in men and 583,000 (13%) deaths in women each year. The projections indicate that between 2015 and 2035, overall there will be a 34% increase in total number of stroke events in the EU. Most strokes (87%) are ischaemic (caused by thrombosis or embolisms) and the rest (13%) are haemorrhagic (caused mainly by rupture of blood vessel or aneurysm). The complications of ischaemic strokes may be limited by early thrombolytic therapy (treatment to dissolve blood clots). However, while 20-30% of patients arriving at specialised stroke centres may receive thrombolytic therapy, only 3-4% of the patient population are given such treatment, mainly due to long lead times in transport to and from the diagnostic instruments (CT-scans). A haemorrhagic stroke (bleeding) excludes thrombolysis therapy until a proper diagnosis is performed. Medfield Diagnostics has developed a portable, more affordable and easy-to- use diagnostic device for this clinical dilemma. The device utilizes changes in the electromagnetic properties of the brain as a biomarker to exclude haemorrhagic stroke. After having provided proof-of- principle in smaller clinical trials and developed a robust prototype, the objective of the proposed project is to develop a business plan that will guide a large-scale prospective clinical trial to validate the device and optimize the go-to-market strategy. The goal is to make early stroke diagnostic and more effective personalized treatment accessible to a much wider population of patients across the EU.

Keywords: stroke,microwave technology,electromagnetic characteristic of the brain,thrombolytic therapy,clinical validation
Enhanced Light Solution for Sustainable Cropping (ENLIGHT)

Framework: Horizon 2020 — Societal Challenges
Action type: SME instrument
Countries involved: France
Call: H2020-EIC Accelerator pilot –SME Instrument - Green Deal (H2020-EIC-SMEInst-2018-2020-4, 2020)
Start date: 2020-11-01
End date: 2023-04-30
Duration (months): 30.0
Total project cost (EUR): 3010211.25
EU funding (EUR): 2044976.5
Participants: 1
Project status: CLOSED

The need for food continuously increases as the world population is growing (estimated to reach nearly 10 billion by 2050 (>30% higher than today)). To meet their food needs, 56% more crop calories will be needed in 2050. Farmers are in dire need for innovative sustainable technologies to boost crop yields without increasing production costs and energy use. There is no silver bullet to achieve food security, hence adopting sustainable solutions and integrating technologies that sustainably enable climate resilient crop production has become a current priority. CASCADE, a French SME, has developed a game-changing disruptive solution in the form of masterbatches using its LIGHT CASCADES® technology to shift a portion of the sunlight spectrum, little used by plants, into wavelengths most efficiently used for photosynthesis and plant development. This LIGHT CASCADES® technology can be incorporated into greenhouse film covering high-tunnels, low-tunnels, and glass houses ultimately benefiting growers. In addition to boosting yields, our technology makes growing food sustainable by significantly reducing water, fertilizer, and pesticide use. CASCADE aims to capture 2.5% of this market by 2024 (revenue 19 M€) with 11 customers (large greenhouse film manufacturers) and estimates a serviceable obtainable market of 800 M€. With the EIC Accelerator funding the company will be able to test its multi-season LIGHT CASCADES® technology in operational conditions for enabling commercialization. Upon successful commercialization, LIGHT CASCADES® technology with its conservative estimate of 10% yield increase potential, will result in more than 1 million metric tons of additional horticultural produce (fruits and vegetables) in the EU region alone. This additional yield contributes to reduction of 51 K tons CO2-equivalent GHG emissions, increase of 16 000 Kg CO2 uptake per ha per year, and saving of 1600 ha of land (additional greenhouses needed to produce the added yield).

Keywords: greenhouse films,optically active substances,master batch,food security
A new paradigm to re-engineering printed composites (PRE-ECO)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Italy
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2019-10-01
End date: 2025-10-31
Duration (months): 73.0
Total project cost (EUR): 1477901.0
EU funding (EUR): 1477901.0
Participants: 1
Project status: SIGNED

Additive manufacturing and Automated Fibre Placement (AFP) processes brought to the emergence of a new class of fibre-reinforced materials; namely, the Variable Angle Tow (VAT) composites. AFP machines allow the fibres to be relaxed along curvilinear paths within the lamina, thus implying a point-wise variation of the material properties. In theory, the designer can conceive VAT structures with unexplored capabilities and tailor materials with optimized stiffness-to-weight ratios. In practise, steering brittle fibres, generally made of glass or carbon, is not trivial. Printing must be performed at the right combination of temperature, velocity, curvature radii and pressure to preserve the integrity of fibres. The lack of information on how the effect of these parameters propagates through the scales, from fibres to the final structure, represents the missing piece in the puzzle of VAT composites, which today are either costly or difficult to design because affected by unpredictable failure mechanisms and unwanted defects (gaps, overlaps, and fibre kinking). This proposal is for an exploratory study into a radical new approach to the problem of design, manufacturing and analysis of tow-steered printed composite materials. The program will act as a pre-echo, a precursor, to: 1) implement global/local models for the simulation and analysis of VATs with unprecedented accuracy from fibre-matrix to component scales; 2) develop a (hybrid) metamodeling platform based on machine learning for defect sensitivity and optimization; and 3) set new rules and best-practices to design for manufacturing. A 5-year, highly inter-disciplinary programme is planned, encompassing structural mechanics, numerical calculus, 3D printing and AFP, measurements and testing of advanced composites, data science and artificial intelligence, and constrained optimization problems to finally fill the gap between the design and the digital manufacturing chain of advanced printed materials.

Keywords: additive manufacturing,3d printing,variable angle tow,composites,metamodels,automated fibre placement,functionally graded structures
Elucidating the Molecular and Cellular Mechanisms Underlying Neurodegeneration Using Advanced Stem Cell-Based Technologies (STEMAD3D)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing, nervous system function and dysfunction, systems neuroscience and modelling, biological basis of cognitive processes and of behaviour, neurological and mental disorders
Countries involved: Israel
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-06-01
End date: 2026-05-31
Duration (months): 60.0
Total project cost (EUR): 1666957.0
EU funding (EUR): 1666957.0
Participants: 1
Project status: SIGNED

Alzheimer’s disease (AD) is the most common age-related neurodegenerative disease. Despite the significant progress made towards unpacking the pathomechanisms of AD, the molecular and cellular mechanisms underlying AD pathogenesis remain poorly understood. Previous studies mainly relied on animal models that do not capture human-specific biology, monolayer neural cultures that do not capture pathological hallmarks of the disease, and post-mortem tissues that only capture disease end-stage. There is thus a pressing need for new complementary approaches that preserve the disease genetics, mimic disease pathology, and more closely reflect human brain environment. I have developed a chimeric system for transplantation of Induced Pluripotent Stem Cells (iPSC)-derived brain organoids into the mouse brain, providing a powerful platform to study AD under a physiological environment. This project aims to understand the molecular and cellular aberrations underlying AD pathogenesis. I propose to achieve this goal via a novel combination of a chimeric model, iPSC-based patient-specific brain organoids, transcriptomics, epigenetics, and genetic editing approaches. We will determine the disease-associated progressive changes at the transcriptome level, examine the cellular aberrations both in vitro and within the in vivo brain environment, and identify molecular regulators that underlie disease deficits and might enhance susceptibility to AD manifestation. Next, we will define perturbations in the epigenetic landscape associated with AD. Finally, this project seeks to extend towards identifying critical mechanisms that govern the interplay between neurons and the immune system in AD. I anticipate that this research will uncover novel molecular, cellular, and functional mechanisms that govern AD pathology, and may provide a basis for developing future therapeutic strategies.

Keywords: stem cells,alzheimer s disease,induced pluripotent stem cells,organoids,animal chimera
Minimum viable product for automated 3D imaging reconstruction of the bladder and the bladder cancer (AIR3D)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Coordination and support actions
Countries involved: Italy,Italy,Greece
Call: FET Innovation Launchpad (H2020-FETOPEN-2018-2019-2020-4, 2020)
Start date: 2021-04-01
End date: 2022-09-30
Duration (months): 18.0
Total project cost (EUR): 142857.14
EU funding (EUR): 100000.0
Participants: 3
Project status: CLOSED

AIR3D will validate the business potential of the automatic 3D imaging reconstruction software developed within the EDIT FET project. Such software allows performing fast, non-invasive 3D visualization of several information on the bladder in real-time with user friendly interaction with the operator. It combines pre-clinical information from Ultra Sound (US) and Photoacoustic (PA) imaging towards the early diagnosis of bladder cancer and monitoring of cancer progress during therapy and follow-up. Ultrasound (US) and PA imaging are non-invasive non-ionizing technologies, but imaging reconstruction methods are still time-consuming (in particular for high-volume organ as bladder), being manual or semi-manual processes and requiring well trained people. Nowadays bladder cancer is the ninth most common malignancy globally, with an estimated 430.000 new diagnoses annually, while it has the highest lifetime treatment costs per patient of all cancers. The successful adoption of the software by the market will improve early diagnosis of cancer and better monitoring of the efficacy of ongoing therapies (more accurate and precise 3D images available immediately), as consequence the software will have both societal and economic impact, improving the quality of life of millions of people while reducing social costs and costs of care centres in image processing (no high-skilled personnel needed). During AIR3D, owners of the EDIT software (LIME and OSR) will be supported by and advisory company (META) to define the best exploitation model for the commercialisation of the software and validate it through the use of the Lean Start up approach. Interaction with relevant stakeholders are foreseen for the validation of the pre-commercial prototype (testing at early adopters’ premises), raise the interest of potential clients (presenting the prototype at international events) and raise funding for scale up and clinical development (pitching in front of investors).

Keywords: diagnosis image processing ultrasound photoacoustics cancer
Characterization of the anaerobic degradation of phenanthrene by a novel sulfate-reducing enrichment culture for the development of bioremediation methods (PrOBiEM)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Germany
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-06-02
End date: 2018-06-01
Duration (months): 24.0
Total project cost (EUR): 159460.8
EU funding (EUR): 159460.8
Participants: 1
Project status: CLOSED

Polycyclic aromatic hydrocarbons (PAHs) are widely distributed contaminants that produce hazardous effects on human health. They are persistent in the environment and recalcitrant to degradation, rendering the development of efficient PAH-removal methods a worldwide concern. In PAH-contaminated aquifers or sediments, oxygen is depleted very rapidly, thus microorganisms able to use these compounds as a carbon source in the absence of molecular oxygen are crucial for their consumption. The aim of this project is to elucidate the enzymes and mechanisms for the anaerobic degradation of phenanthrene by a novel sulfate-reducing enrichment culture. The first objective is to identify the organisms responsible for phenanthrene degradation. A phylogenetic characterization will be performed by pyrosequencing of the 16S rRNA genes amplified from the enrichment culture. The second objective is to discover the enzymes involved in the degradation process. To this end, a combined transcriptomic and proteomic evaluation of the enrichment culture will be performed. The functionality of the identified enzymes will be then evaluated in vitro. The chemical stability and complicated structure of phenanthrene promises the discovery of novel types of enzymatic reactions. Finally, the microorganisms responsible for phenanthrene degradation will be purified to homogeneity and characterized to evaluate the optimal environmental conditions for growth and phenanthrene degradation. Options to improve biodegradation at contaminated sites and to promote phenanthrene removal will be studied. The project proposes insights into the anaerobic biodegradation of three-ring PAHs as one of the most prominent classes of environmental contaminants.

Keywords: anaerobic pahs degradation pathways,enzyme discovery,transcriptomics and proteomics,bioremediation optimization,development of biotechnological tools for pahs removal
Vulnerability and risk assessment of transportation systems of assets (SoA) exposed to geo-hazards (TRANSRISK)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-09-01
End date: 2020-03-01
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Available risk assessment frameworks typically consider individual assets of the transportation infrastructure, exposed to just one hazard and they neglect changes in the asset performance during its life. However, assets exist in systems (SoA) and they are usually exposed to multiple hazards, whilst their performance changes due to deterioration or improvements. Also, the vast majority of existing studies is qualitative and focuses on bridges. Hazards, such as ground movements, debris flow, earthquakes and floods are major threats to infrastructure around the world, causing significant physical and socio-economic losses. Thus, reliable assessment of the vulnerability and the associated risks of infrastructure subjected to critical hazards is of paramount importance toward resilient transportation networks. TRANSRISK aims to fill these acknowledged gaps and provide advanced vulnerability assessment of critical transportation SoA subjected to diverse geo- and climatic hazards with focus on geotechnical effects, taking into account the SoA performance changes during their life. In this context, advanced numerical models of representative SoA subjected to critical combinations of hazard effects will be generated and validated based on recorded events. Novel adaptable vulnerability models will be produced for as-built, deteriorated (e.g. past hazards) and improved (e.g. strengthened) SoA. These models will be applied to selected parts of a highway and/or railway network in Europe to estimate the risk and associated losses due to recorded hazards as a means to enable the unbiased allocation of resources in decision-making and disaster management. The research results will provide a better understanding of the response of critical SoA and a rational link of the individual asset response to the network performance. The outcomes will also benefit stakeholders and owners of transportation networks in line with the EU strategy on critical infrastructure protection.

Keywords: adaptable fragility functions,systems of transportation assets,numerical modeling,vulnerability,risk,geo hazards,deterioration of assets,improvement of assets
Multi-language text summarization (ML-TEXTSUM)

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: Information Science and Engineering
Countries involved: Switzerland,United States
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-09-01
End date: 2020-08-31
Duration (months): 36.0
Total project cost (EUR): 265840.2
EU funding (EUR): 265840.2
Participants: 2
Project status: CLOSED

In our daily life, we are submerged by huge amounts of text, coming from different sources such as emails, news, reports, and so on. The availability of unprecedented volumes of data represents both a challenge and an opportunity. On one hand, it can lead to information overload, a phenomenon that limits one’s capacity to understand an issue and act in the presence of too much information. On the other hand, the effective harnessing of this information has undeniable economical potential. Furthermore, In the European context, special needs to be put to multilingualism to guarantee global access to high quality information. The objective of this application is to develop ML-TEXTSUM, a system for efficient and accurate multi-lingual text summarization. That is, given as input a text document, the system will output a summary of the document in the same or in a different language. Building on recent breakouts in machine learning and natural language processing, I propose a novel architecture for ML-TEXTSUM that will be able to produce high quality summaries while at same time remain modular enough so that new languages can be added with minimal effort. The availability of such system shall allow citizens, regardless of their language, to better handle the information overload and to gain access to critically distilled information (e.g., what is a certain newspaper’s opinion on the same topic this year? Are male/female athletes portrayed differently by the media?). The project is characterized by the interplay of multiple disciplines: the proposed architecture requires to master a combination of natural language processing and machine learning techniques. At the same time, the formidable scale of this system will require the development of novel distributed optimization methods. This interplay will be achieved thanks to my past and future collaborations, my solid background in optimization and machine learning, as well as through the acquisition of new ad-hoc skills.

Keywords: text summarization,machine learning,natural language processing,optimization,deep learning