Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
An innovative double technologies medical device for corneal diseases. (MD-SD-OCT)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: Italy
Call: Clinical research for the validation of biomarkers and/or diagnostic medical devices (H2020-SMEINST-2-2014, 2014)
Start date: 2015-06-01
End date: 2017-05-31
Duration (months): 24.0
Total project cost (EUR): 1965867.5
EU funding (EUR): 1965867.5
Participants: 1
Project status: CLOSED

It has been observed that eye related disease such Keratoconus, glaucoma and cataract are recently increased, especially in older adult, which are commonly more prone to this kind of pathology, with a significant rise also in young adults subject, due to nowadays lifestyle. The first main objective of CSO business project is to introduce into the market the innovative MD-SD-OCT, a new ophthalmology instrument, which is able to detect, with a single tool, a range of optical pathologies wider than the state of the art technologies are capable to support, with higher performances and significant reduction of manufacturing cost. This target will be reached through the integration of traditional topography approach (Placido's disk) and innovative patented Spectral Domain Optical Coherence Tomography (ref. WO 2014/155286 A1), into a single, compact and flexible diagnosis device, real breakthrough for the market at the state of art. As a results of the technology innovation proposed and due to the usage of a less expensive technology invented by CSO (new SD-OCT management system, covered by international patent), the overall cost of the device is significantly lower than the existing applicable technology (about 45% less). This aspect will be the most disruptive and distinguishing element of the entire business project and will determine a huge increase of the company competitiveness. As a result of intensive market need research, performed by the company in the last two years, and thanks to its expertise in R&D for design and manufacturing of innovative ophthalmology diagnosis devices, CSO, with higher performance , significantly lower cost and new double technology MD-SD-OCT will be able to strongly improve its competitiveness in the market of ophthalmology diagnosis devices.

Keywords: medical device,eye diseases,ophthalmology,keratoconus,glaucoma,cataract,corneal topography,optical coherence tomography,placido s disk
Artificial Intelligence and IoT for seismic monitoring (Quakebots)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Action type: SME instrument
Countries involved: Italy
Call: Engaging SMEs in security research and development (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2018-04-01
End date: 2018-09-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The objective of the Quakebots project is to introduce and validate a novel technology and tools for disaster management during earthquakes, with the ambition of minimizing both direct and indirect damage during and after a seismic event, increasing people safety and helping in the assessment of post-seismic damage to critical infrastructures. Recent news of disasters in central Italy, and southern Europe in general, demonstrated how earthquakes are one of the most harmful natural disasters, accountable for invaluable losses in terms of damage to critical infrastructures, cultural heritage and impairment of local transportation and energy distribution network. Unfortunately, the countries that are more exposed to seismic risk show also the highest percentage of building heritage older than 40 years, more than 75%, and ancient historical buildings, with no seismic aware design in place. In such countries, earthquakes are also accountable for countless death tolls. Quake Engineering proposes a distributed sensor network that is capable of automatically detect the occurrence of primary waves during a seismic event, and acting as a distributed IoT P2P neural network, propagate an alert to all the other nodes in the network in cascade. This “signaling” wave propagates much faster than the harmful secondary waves, providing the users with a local acoustic and visual alert, giving them a small time frame in the magnitude of tens of seconds for taking safety critical actions. The main purpose of the project is to carry an extensive demonstration of the effectiveness of the solution in a medium scale scenario, targeting the B2B and B2A markets as the most promising and eager early adopters. The project will also cover the incremental research and development effort for a rapid market uptake. It is foreseen that the system will be ready for the commercialization by 2019. The successful introduction of Quakebots will generate up to 10M€ in revenues in a three year period.

Keywords: earthquakes management tool,buildings dynamic response,distributed iot neural network
Integration of advanced experiments, computation and data for Duplex Stainless Steel joining innovation (i-Weld)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Ukraine,Poland,Sweden,China,Malaysia,Türkiye,United Kingdom
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2018, 2018)
Start date: 2019-05-01
End date: 2025-02-28
Duration (months): 70.0
Total project cost (EUR): 506000.0
EU funding (EUR): 473800.0
Participants: 8
Project status: SIGNED

The proposed project aims to collaboratively research on welding of duplex stainless steel (DSS) through modern data system/sharing, experiments and predictive physical modelling for developing new materials and processing regimes. The project will establish a systematic data system for the key physical structure/phases relative to the welding and corrosion of DSS. The project will establish the optimum welding regimes for enhanced mechanical and corrosion performance with the aids of hybrid computer aid design and manufacturing (CAD/CAM) and physical based material modelling. The data and advanced approach will be used to develop new disruptive manufacturing technology to control the structure, phase and defects in the welding in particularly the heat affected zones (HAZ), which is the most critical/limiting issue for manufacturing and applications of DSS and other material systems. The work will jointly explore the use of modern data and predictive modelling technology in developing dissimilar/hybrid material systems for more significant weight/cost reduction. The resulted advanced data system, new materials, welding process and hybrid lightweight materials will contribute the research and innovation capacity in Europe and the world on DSS, stainless steels and associated systems with a long term economic and social impact (e.g. health, environments and society). The advanced data system will serve as a pivoting platform for future research and innovation, speeding up material or product development cycle, with fundamental contribution to academic and industrial R&D. It will enhance the R&I capacity of inter/multidisciplinary intersectoral partners, and jointly developing major break-through technologies. The work combined several novel approaches I R&D, will contribute the development of Industry 4.0 for welding and significantly accelerate the development of the Research skills, knowledge and career of the ECR with lasting impact in the EU and beyond.

Keywords: welding,duplex stainless steel,big data,digital welding
Efficient QUantum Light for TechnologY (EQUALITY)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: France
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-05-01
End date: 2018-10-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Billions of consumers and thousands of companied depend on the security of network infrastructure to assure the safety of their data as it is bleamed around the world. At present, the security provided by traditional encryption algorithms depend on the fact that it takes a very long time for a traditional computer to solve the encryption that would reveal the protected data. However, advances in the domain of quantum computing and the development of efficient algorithms mean that it is becoming much easier to break down conventional encryption algorithms based on computational complexity. Quantum Key Distribution (QKD) networks aim to overcome this challenge by proposing secure lines of communication that have been encrypted using the fundamental laws of quantum physics. This is achieved through manipulation of physical properties of photons to encode information. However, many such networks remain expensive to set up and requires the support of a state-level entity, thus beyond the reach of consumers and companies. Furthermore, the transmission speeds achieved through current photon emitters remain relatively low, making transmitting complex data difficult. Quandela, a french SME founded in 2017 as a spin-off of the French Centre for Scientific Reseach (CNRS) proposes a revolutionary efficient emitter of single photons that would significantly increase the rates of information that could be efficiently transported through QKD networks. Thanks to a proprietary technology, Quandela's photon emitters are able to emit photons significantly more accurately and efficiently than the current products in the market. Quandela is specialized in building efficient chip-based quantum light sources. Due to its size and efficiency of photon emission, these chips could be easily integrated into a QKD network, thus significantly enhancing information transfer rates over longer distances. In addition to light sources, Quandela develops technological bricks for quantum applications.

Keywords: quantum key distribution qkd,single photons,entangled photon source,quantum light
An investigation of the mechanisms at the interaction between cavitation bubbles and contaminants (CABUM)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: Slovenia
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-07-01
End date: 2024-03-31
Duration (months): 69.0
Total project cost (EUR): 1904565.0
EU funding (EUR): 1904565.0
Participants: 2
Project status: SIGNED

A sudden decrease in pressure triggers the formation of vapour and gas bubbles inside a liquid medium (also called cavitation). This leads to many (key) engineering problems: material loss, noise and vibration of hydraulic machinery. On the other hand, cavitation is a potentially a useful phenomenon: the extreme conditions are increasingly used for a wide variety of applications such as surface cleaning, enhanced chemistry, and waste water treatment (bacteria eradication and virus inactivation). Despite this significant progress a large gap persists between the understanding of the mechanisms that contribute to the effects of cavitation and its application. Although engineers are already commercializing devices that employ cavitation, we are still not able to answer the fundamental question: What precisely are the mechanisms how bubbles can clean, disinfect, kill bacteria and enhance chemical activity? The overall objective of the project is to understand and determine the fundamental physics of the interaction of cavitation bubbles with different contaminants. To address this issue, the CABUM project will investigate the physical background of cavitation from physical, biological and engineering perspective on three complexity scales: i) on single bubble level, ii) on organised and iii) on random bubble clusters, producing a progressive multidisciplinary synergetic effect. The proposed synergetic approach builds on the PI's preliminary research and employs novel experimental and numerical methodologies, some of which have been developed by the PI and his research group, to explore the physics of cavitation behaviour in interaction with bacteria and viruses. Understanding the fundamental physical background of cavitation in interaction with contaminants will have a ground-breaking implications in various scientific fields (engineering, chemistry and biology) and will, in the future, enable the exploitation of cavitation in water and soil treatment processes.

Keywords: cavitation,exploitation,bacteria,viruses,water treatment
Art / culture / economy to democratize society. Research in placemaking for alternative narratives (trans-making)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Italy,Italy,Spain,Italy,Egypt,Cuba,Bosnia and Herzegovina,Tunisia,Türkiye,Poland,Slovenia,Türkiye,China,France,France,Morocco,United Kingdom,Chile
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2016, 2016)
Start date: 2017-01-01
End date: 2022-09-30
Duration (months): 69.0
Total project cost (EUR): 1858500.0
EU funding (EUR): 1858500.0
Participants: 24
Project status: CLOSED

The project trans-making aims to establish a multilateral network of research and innovation staff active in the fields of placemaking/place-based art activities as a space to create alternative narratives for social, economic and democratic renewal. It will investigate and experiment with placemaking to contribute actively to the democratization/well-being of society, educating and empowering individuals and disadvantaged minorities through research and production in the connection between art and new technologies. The objective is to strengthen research capacities, through exchange of knowledge and expertise between academic and non-academic partners from Europe and Third Countries in a shared research programme focused on: collecting, documenting / Exploring, experimenting / Performing / Designing. Trough those work programme of Research and Innovation, the consortium, academic and non-academics partners, aims to foster links between art and culture, economy, democracy and innovation at EU level and beyond. To foster entrepreneurial skills, risk taking adaptability, innovation capacity (economic, social and democratic). And it will contribute actively to education and empowerment of individuals and disadvantaged minorities trough research and production between art and new technologies. The project through its consortium will be to foster a better understanding and knowledge sharing between scientific community, stakeholders and policy-makers. Which will be achieved with the respective networks of the involved partners. The final aim of trans-making will be to establish a long term collaboration among the partners in order to have a scientific and innovative worldwide community devoted to the research, (including art-based research), innovation, education activity in the matters concerned by the project. Moreover, the proposed measures of the project will be conceived in order to have the widest possible impact of the society.

Keywords: creating communities,new narratives,tactical media,art research,social process,practical experiences,tactical economy,low tech,peer education,interaction,rights,social justice
Bottom-up fabrication of nanostructured silicon-based materials with unprecedented optical properties (SCATTER)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure-properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: France
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-01-01
End date: 2025-12-31
Duration (months): 60.0
Total project cost (EUR): 1499403.0
EU funding (EUR): 1499403.0
Participants: 1
Project status: SIGNED

Controlling the crystallinity, form, dimensions and porosity of nano-objects produces remarkable and unique physical properties. Silica (SiO2) is among the most studied nanomaterial, where its morphology can be controlled precisely. The reduced form, silicon (Si), has exceptional properties of interest to batteries, semi-conductors, electronics and optics. If it were possible to control the physical characteristics of silicon nano-objects, a host of applications would become possible in new domains of optics. Hence a major current challenge is the creation of synthetic routes to Mie-resonant silicon particles and their assembly into metamaterials. The aim of Scatter is to revolutionize silicon synthesis, producing nano-objects that are currently inaccessible, and achieving silicon-based materials with fantastic light manipulation. To obtain an efficient metamaterial with a broad response, the intensity and frequency of dipole resonances should overlap. Creating materials with electric and magnetic resonances at the same frequency requires the development of novel synthesis techniques for silicon nano-objects. Four strategies, guided by optical models, will be pursued to coalesce the electric and magnetic resonance in silicon objects: controlled porosity in spheres, synthesis of anisotropic objects, fabrication of clusters of 13 kissing spheres, and the assembly of spheres with two differing diameters. The silicon nano-objects will be self-assembled into diverse materials and their optical properties assessed using advanced optical measurements. Properties that may result from the realization of silicon-based materials include zero and negative refractive index, total light transmission or total absorption, and low-loss light confinement below the diffraction limit. Mastering the fabrication of silicon building blocks will enable many new systems, including real examples of metamaterials in the form of planar lenses, monoliths, fibers, inks, films and surfaces.

Keywords: silicon,crystalline materials,optical properties,structure property relationships,metamaterials,surface modification
Network Analysis in Neocortex during Passive and Active Learning (neuronsXnets)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Germany,Switzerland,Belgium,Belgium,Greece,Greece,France,United States,Luxembourg
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2020, 2020)
Start date: 2021-09-01
End date: 2025-08-31
Duration (months): 48.0
Total project cost (EUR): 901600.0
EU funding (EUR): 855600.0
Participants: 12
Project status: SIGNED

How does the brain perform the complicated computations that allow us to learn about and interact with the environment? The rapid advances in new optical imaging, the powerful statistical analysis/machine-learning techniques, and the availability of computational resources, provide a unique opportunity to decipher this fundamental question. NeuronsXnets forms an international, multidisciplinary and intersectoral collaboration network involving leading groups in neuroscience, neuromorphic computing, data science, systems, optical tools/imaging, and hospitals. It takes advantage of this unique environment to improve the understanding of neural circuit function and integrate its findings in deep learning architectures and in neuromorphic circuits, aiming to develop a new generation of computing technologies based on the organizing principles of the biological nervous system, optimized for higher levels of cognition. NeuronsXnets will perform knowledge transfer through hands-on training and research activities during 196 secondments, courses, 4 international workshops, and seminars, to train a new generation of highly skilled systems neuroscientists and computer scientists/engineers. All partners, especially the SMEs, will benefit from the cross-fertilization, by integrating the findings and systems they have developed in their existing solutions or in new systems, capitalizing on the research results that will be achieved, and creating a long-term link between business, research, higher education & hospitals. Through open access to the developed tools and collected data, NeuronsXnets can make significant impact on the scientific community. We are committed to educate and mentor young students and raise the public knowledge about the fascinating field of neuroscience. We will strive for research excellence, to develop innovative systems, and pursue entrepreneurial objectives, leading to a new era of collaborative research in neuroscience & bio-inspired technologies.

Keywords: statistical analysis,brain networks,neuromorphic computing
Energy Efficiency Technology for Pipeline Transportation (ABI Energy)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-12-01
End date: 2020-05-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

ABI Energy has developed an Energy Efficiency Technology that is unique in its ability of continuous automatic dynamic optimization of the interaction between flow turbulence, and generating pressure perturbations propagating through the flow along the pipeline. By providing this minimal hydrodynamic resistance of the transporting process, we enable savings of 30% in energy. The product is designed in a modular concept. It consists of three separated and interconnected components/systems: PWG, Control Block and Measuring Instruments. The PWG is connected parallel to the pump, and designed for the given flow and pipeline parameters. Once operating, our product generates immediate pressure waves in the discharge pipeline and as a result, immediate electricity consumption reduction by the pump. Pumps are an enormous energy consumer in global water, oil, and gas markets. The estimated electricity consumption by pumps is 240 terawatt hours (TWh) a year, representing 20% of total global energy consumption. One of the major energy loss factors in pumping and fluid transportation is due to turbulent friction in the pipeline. This is also known as friction loss or head loss. In this project, we will first focus on the water sector, as the pain of inability to cover OPEX is substantial and water utilities are actively seeking to improve efficiency. ABI Energy projects that it will be entering the commercial market within two years of this project’s completion where technological and market feasibility will be firmly established through a pilot run together with Mekorot – Israel’s water utility. We will be applying for SME phase two funding, as well as recruiting funds from private investors and Israeli government grants. We expect that three years from end of phase 2, we will have hundreds of installations globally, with expected revenues of $20M a year and above. We will also start sales in oil and gas sectors.

Keywords: turbulent flow,pumps