Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
MegaModelling at Runtime - scalable model-based framework for continuous development and runtime validation of complex systems. (MegaMaRt2)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Public-private partnerships
Destination: Electronic Components and Systems
Action type: Research and Innovation actions
Partnership: ECSEL (Art-187)
Countries involved: Spain,Spain,Italy,Spain,Italy,Spain,Spain,Italy,Finland,Finland,Finland,Sweden,Sweden,Sweden,France,France,France,France,France,France,Czechia
Call: ECSEL Key Applications and Essential technologies (RIA) (H2020-ECSEL-2016-1-RIA-two-stage, 2016)
Start date: 2017-04-01
End date: 2020-03-31
Duration (months): 36.0
Total project cost (EUR): 14946579.22
EU funding (EUR): 4442949.15
Participants: 31
Project status: CLOSED

European industry faces stiff competition on the global arena. Electronic Components and Systems become more and more complex, thus calling for modern engineering practices to be applied in order to better tackle both productivity and quality. Model-based technologies promise significant productivity gains, which have already been proven in several studies and applications. However, these technologies still need more enhancements to scale up for real-life industrial projects and to provide more benefits in different contexts. The ultimate objective of improving productivity, while reducing costs and ensuring quality in development, integration and maintenance, can be achieved by using techniques integrating seamlessly design time and runtime aspects. Industrial scale system models, which are usually multi-disciplinary, multi-teams and serving to several product lines have to be be exploited at runtime, e.g. by advanced tracing and monitoring, thus boosting the overall quality of the final system and providing lessons-learnt for future product generations. MegaM@Rt brings model-based engineering to the next level in order to help European industry reducing development and maintenance costs while reinforcing both productivity and quality. To achieve that, MegaM@Rt will create a framework incorporating methods and tools for continuous development and runtime validation to significantly improve productivity, quality and predictability of large and complex industrial systems. MegaM@Rt addresses the scalability challenges with advanced megamodelling and traceability approaches, while runtime aspects will be tackled via so-called “models@runtime”, online testing and execution traces analysis. MegaM@Rt brings together a strong international consortium involving experts from France, Spain, Italy and Finland. The partners cover the whole value chain from research organizations to tool providers, including 9 end-users with large industrial case studies for results validation.

Keywords: model based system engineering,model based testing,models runtime,megamodelling,runtime verification,runtime validation,online testing,traceability,continuous development
Entropic rejuvenation of thin glass products by liquid metal immersion (enjulii)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept 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: Germany
Call: Call for proposals for ERC Proof of Concept Grant (ERC-2020-PoC, 2020)
Start date: 2021-05-01
End date: 2022-10-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Mechanical performance and consumer product safety have been major drivers for glass research and innovation. Strengthened glass products are omnipresent in daily life, from rooftop windows and automotive windshields to solar modules, partition walls and covers for handheld electronic devices. However, thermal strengthening as today’s most widespread method for enhancing the strength and reliability of glasses has reached maturity, leaving fundamental restrictions in terms of applicable glass thickness and type. These limitations do not only prevent the further development of sustainable and efficient lightweight glass structures, but also exclude the process from many of the most prolific specialty glass applications. The present proposal targets market readiness and commercialisation of a novel post-processing method for thin-walled glass products which overcomes the limitations of thermal strengthening by achieving a tenfold decrease in accessible glass thickness and/or coefficient of thermal expansion. By this, we will break ground for applying an otherwise intriguingly efficient technology to thin-walled glass products and glass compositions which were previously outside of the process’s capabilities. This will not only enable significant reductions of embodied energy, CO2 and product weight, but also lead to new opportunities in the strengthening of non-sheet glass products, e.g., fibres, rods and tubes on fields such as pharmaceutical packaging, injectors, functional lighting and illumination, and specialty glass substrates.

Keywords: glass,post treatment,post processing,processing,mechanical properties,thermal processing,strength of materials
A new generation of electric motors that provides higher power density and safety features by a novel winding architecture (EMphiTech)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-04-01
End date: 2019-10-31
Duration (months): 7.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The interest in electric vehicles and eMobility has seen a sharp increase as governments around the world move to ban petrol and diesel vehicles. The global eMobility market is expected to exceed more than $60 by 2022, but the overall sustainability and efficiency of electric mobility is far from clear. There are several challenges that the industry currently faces, including reducing the weight and cost of components and improving the limitations of autonomy that allow electric mobility to become a reality in the near future. To solve these issues, IMPROVUM has developed a new generation of electric motors that provides higher power density and safety features by a novel winding architecture. This technology called "EMphiTech" allows us to reduce the size of the electric motors, increase their energy use and make them as safe and cheap as possible. Currently we have a prototype in TRL5, and we have started the development of a fractional closely attached driver which will allow the presented system (motor and driver) to achieve safety redundancy while keeping the system efficiency, concluding the full development of the presented system to produce the first small-scale pilots. Our business model is based in licensing model generating revenues through royalties (5% on sales). Our customers are electric motor manufacturers. We are targeting the global electric motor market, which is estimated to reach €173 billion by 2024, focusing only on motor vehicles and aerospace transportation segment, our SAM is €17 M in 2019 increasing to €26 M in 2024. We plan to reach a gross profit of €6.7M in 2023, representing a market share of 1%. IMPROVUM’s team is led by our CEO Albert Navarro (MSc Industrial Engineering as a background & EMBA), Alejandro Bosco, our CTO (Electronic Engineer) and Florencio Rincón, our CFO (bachelor in business administration and management). We are applying to the SME Instrument Phase 1 to carry out a Feasibility Study.

Keywords: electric motor,electric mobility,electromagnetism,electric vehicle,higher power density,safety,licensing model,efficiency,transportation,aircraft,automotive engineering
COmponents and MAcrocomponents Packaging For Space (COMAP-4S)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling European competitiveness, non-dependence and innovation of the European space sector
Action type: Research and Innovation actions
Countries involved: Germany,Belgium,France,France
Call: Technologies for European non-dependence and competitiveness (H2020-SPACE-2019, 2019)
Start date: 2020-01-01
End date: 2023-12-31
Duration (months): 48.0
Total project cost (EUR): 3000275.0
EU funding (EUR): 2975275.0
Participants: 4
Project status: SIGNED

Space markets have entered a new age, thanks to new business models but also to the increased use of deeply integrated electronics aboard satellites, either for digital or analog functions. Such miniaturized equipment allows for drastic reductions of the satellite mass, thus enabling larger payloads and more service revenues, and/or lighter satellites, and then cheaper launches. However, despite the deep submicron technologies currently used for manufacturing space components, efficient and competitive packaging of large components remains a roadblock in trying to downsize further these equipment. This is especially true when we have to address dies beyond 300 mm² and/or beyond 625 pins, such integration being made worse with ever increased power dissipation, up to 10 or 20 W per die. Following-up innovative approaches already developed by the Consortium members, such as European rad-hard FPGA (e.g. BRAVE, DAHLIA, OR VEGAS/OPERA projects), System In Package (SIP) technologies and High Density PCB as experienced with ESA contracts, the principal objective of this project is to design and ECSS qualify a “macro-component” Demonstration Model (DM) for space applications, offering unmatched Figures of Merit for space packaging, in terms of Interconnexion density, Die surface, Integration density, together with a cost reduction factor of 3 compared to ceramic CGA, among others. These challenges are made reachable within a 3-phase program, leveraging advanced technologies in organic high density low CTE PCBs, innovative thermal management and SIP integration up to a TRL7 stage, validating the full industrial processes vs. the ECSS Q ST standards. Furthermore, thanks to the close partnership we have in our Consortium, this COMAP-4S Project will set the stage for a true European supply chain serving additional markets beyond rad-hard space equipment, such as embedded macro-components for Defense or Aeronautics, being fully in line with the objectives of SPACE-10-TEC-2019.

Keywords: eee sip packaging,system in package,high pin count packaging,advanced eee packaging
Collective modes in 4d-metal compounds and heterostructures (Com4Com)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Germany
Call: ERC Advanced Grant (ERC-2014-ADG, 2014)
Start date: 2016-01-01
End date: 2021-09-30
Duration (months): 69.0
Total project cost (EUR): 3176850.0
EU funding (EUR): 3176850.0
Participants: 1
Project status: CLOSED

Compounds of transition metals with 4d valence electrons (“4d metals”) play eminent roles in many areas of condensed matter physics ranging from unconventional superconductivity to oxide electronics, but fundamental questions about the interplay between the spin-orbit coupling and electronic correlations at the atomic scale remain unanswered. Momentum-resolved spectroscopies of collective electronic excitations yield detailed insight into the magnitude and spatial range of the electronic correlations, and have thus decisively shaped the conceptual understanding of quantum many-body phenomena in 3d-electron systems. We will devise and build a novel resonant inelastic x-ray scattering (RIXS) instrument capable of determining the dispersion relations of electronic collective modes in 4d-metal compounds with full momentum-space coverage, high energy resolution, and monolayer sensitivity. Data from this instrument will yield comprehensive information about the interaction parameters specifying the electronic Hamiltonians of 4d-electron materials, unique insight into the spin-orbital composition of their excited-state wavefunctions, and definitive tests of proposals to realize Kitaev models with spin-liquid states that are potentially relevant in topological quantum computation. The element-specificity of RIXS will also allow us to determine the microscopic exchange interactions in complex materials with both 3d and 4d valence electrons, and its high sensitivity will enable experiments on operational device structures comprising only a few monolayers. We will thus be able to tightly integrate momentum-resolved spectroscopy with state-of-the-art, monolayer-by-monolayer deposition methods of 4d metal-oxide films and heterostructures. The results will fuel a feedback loop comprising synthesis, characterization, and modeling, which will greatly advance our ability to design materials and devices whose functionality derives from the collective organization of electrons.
Novel integrated refurbishment solution as a key path towards creating eco-efficient and competitive furnaces (VULKANO)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Sustainable, resource-efficient and low-carbon technologies in energy-intensive process industries
Action type: Research and Innovation actions
Countries involved: Spain,Spain,Italy,Germany,Spain,Spain,Spain,Türkiye,Slovenia,Poland,France,United Kingdom
Call: Industrial furnace design addressing energy efficiency in new and existing furnaces (H2020-SPIRE-2016, 2016)
Start date: 2016-07-01
End date: 2019-12-31
Duration (months): 42.0
Total project cost (EUR): 6940813.75
EU funding (EUR): 6940813.75
Participants: 13
Project status: CLOSED

The main goal of VULKANO is the retrofitting of two types of industrial furnaces, namely preheating and melting, applied on three energy–intensive sectors (steel, ceramic and aluminium) with a huge number of potential users in Europe. Thus, this project aims to design, implement and validate an advanced retrofitting integrated solution to increase the energy and environmental efficiency in existing industrial furnaces fed with NG; through the combined implementation of new solutions based on high temperature phase change materials, new refractories, optimised co-firing of NG and syngas from biomass or process gas, an advanced monitoring and control system and an holistic in-house predictive tool. All together will achieve a 20% increase in the energy efficiency of furnaces. On top of that, the realistic and powerful holistic tool will also able to optimize the integration of the solution with upstream/downstream perspective, following a life cycle and cost thinking. This predictive tool will support plant operators and decision makers to select most suitable retrofitting strategy for their plants, fostering overall efficiency, increase in competitiveness and circular economy and reducing the environmental impact of the product value chain from an LCA and LCC perspective. The retrofitting solutions will be tested at TRL 7 in two real facilities in Ceramic (Spain) and Steel (Slovenia) sector, validating the replicability of such solutions in a third sector (Aluminium-Turkey). VULKANO addresses the main challenge when facing furnaces retrofitting, which is tackling the problem from an overall and cost thinking perspective, which will enable overcoming the barriers for energy efficiency improvements. A well balanced consortium formed by end-users, technology solutions providers and research organizations ensures successful achievement of objectives, which will allow a wide spreading replication strategy towards furnaces retrofitting towards modern and efficient designs

Keywords: retrofitting,industrial furnace,refractory,control system,co firing,energy efficiency,steel sector,ceramic sector
Communication for Food Protection (COMFECTION)

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: Social Sciences and Humanities
Countries involved: Italy,United States
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-01-08
End date: 2021-01-07
Duration (months): 24.0
Total project cost (EUR): 176203.8
EU funding (EUR): 176203.8
Participants: 2
Project status: CLOSED

Communication is essential to effective food protection policies: if healthy habits help reduce food-related diseases and disorders, communication can enable active and responsible consumers; but it might also lead to misinformation by promoting food myths and hoaxes. In fact, news on “poisonous” or “miraculous” foods fill up the daily agenda of the mass and new media, through which they become viral and more likely to affect people’s perceptions of edibility. While considerable efforts have improved food risk communication, no extensive research has addressed this increasing phenomenon: it is not sufficient to debunk food myths, but it is necessary to understand how they are able to spread so widely and what can be done to oppose them. The project COMFECTION - “Communication for Food Protection” intends precisely to fill this gap by addressing some of the most urgent—but not adequately explored yet—issues concerning food protection and its communication: (i) the genetic modification of foods and the risks and benefits associated with their consumption; (ii) organic farming techniques and principles, as opposed to the use of synthetic pesticides, vaccines, hormones, etc.; (iii) the risks and benefits associated with the consumption of meat or the abstention from the use of animal products; (iv) the recent spread of grain free movements—from “gluten sensitivity” to the Paleo diet, etc. The project will be implemented by means of a unique combination of theoretical and methodological approaches, and thanks to the collaboration of a well-experienced ER and the support of two top-class academic institutions: New York University, United States, and the University of Turin, Italy. This will allow not only identifying effective tools for opposing food myths, but also defining creative solutions for promoting food protection through communication and, ultimately, helping the general public understand better some of the crucial issues currently involving the European Union.

Keywords: food protection,communication,food myths,hoaxes,misinformation,health,social media
from SPArsity to DEep learning (SPADE)

Framework: Horizon 2020 — 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: Israel
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2017-10-01
End date: 2023-09-30
Duration (months): 72.0
Total project cost (EUR): 1499375.0
EU funding (EUR): 1499375.0
Participants: 1
Project status: SIGNED

Lately, deep learning (DL) has become one of the most powerful machine learning tools with ground-breaking results in computer vision, signal & image processing, language processing, and many other domains. However, one of its main deficiencies is the lack of theoretical foundation. While some theory has been developed, it is widely agreed that DL is not well-understood yet. A proper understanding of the learning mechanism and architecture is very likely to broaden the great success to new fields and applications. In particular, it has the promise of improving DL performance in the unsupervised regime and on regression tasks, where it is currently lagging behind its otherwise spectacular success demonstrated in massively-supervised classification problems. A somewhat related and popular data model is based on sparse-representations. It led to cutting-edge methods in various fields such as medical imaging, computer vision and signal & image processing. Its success can be largely attributed to its well-established theoretical foundation, which boosted the development of its various ramifications. Recent work suggests a close relationship between this model and DL, although this bridge is not fully clear nor developed. This project revolves around the use of sparsity with DL. It aims at bridging the fundamental gap in the theory of DL using tools applied in sparsity, highlighting the role of structure in data as the foundation for elucidating the success of DL. It also aims at using efficient DL methods to improve the solution of problems using sparse models. Moreover, this project pursues a unified theoretical framework merging sparsity with DL, in particular migrating powerful unsupervised learning concepts from the realm of sparsity to that of DL. A successful marriage between the two fields has a great potential impact of giving rise to a new generation of learning methods and architectures and bringing DL to unprecedented new summits in novel domains and tasks.

Keywords: sparse representations,compressed sensing,low dimensioanl modeling,theory of deep learning