Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Symmetries and Entanglement in Quantum Matter (SEQUAM)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Austria,Germany
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-10-01
End date: 2025-09-30
Duration (months): 60.0
Total project cost (EUR): 1953375.0
EU funding (EUR): 1953375.0
Participants: 2
Project status: SIGNED

Symmetries are at the heart of quantum many-body phenomena in quantum chemistry, condensed matter, and high energy physics. They govern the structure of physical laws, and explain different phases through the mechanism of symmetry breaking. The discovery of novel unconventional phases such as the fractional quantum Hall effect has challenged this view: These phases instead display a global ordering in their entanglement, hindering a characterization in terms of local symmetries. The goal of my project is to develop a comprehensive symmetry-centered framework for the study of quantum many-body systems across physics, based on the structure of their entanglement. It is placed at the interface between Quantum Information and Quantum Many-Body Physics, and uses the language of Tensor Networks which allows to reconcile locality with global entanglement. Our starting point is the physical symmetry structure of the system of interest. Using Tensor Networks, we move to entanglement space, where we classify the symmetries in the entanglement induced by the physical symmetries, and the way in which the entanglement orders under those symmetries – the entanglement phase. By mapping back to the physical space, we can study the ways in which the entanglement order manifests physically, and obtain a spectrum of powerful analytical, numerical, and experimental probes for unconventional phases. We will apply this framework to a wide range of systems which appear in condensed matter and high energy physics, or are realizable in quantum simulators e.g. with cold gases. The results of the project will give a unified understanding of unconventional phases, based on physical symmetries and the resulting entanglement order. It will yield their physical manifestations, numerical probes for their detection, and simple ways to realize and probe these models in experimental scenarios, and thus significantly advance our ability to understand, study, and realize complex quantum phases.

Keywords: entanglement theory,tensor networks,strongly interacting quantum systems,quantum many body systems
European Processor Initiative (EPI)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Framework Partnership Agreement
Countries involved: Germany,Italy,Italy,Austria,Germany,Germany,Germany,Italy,Germany,Spain,Germany,Germany,Germany,Italy,Switzerland,Croatia,Sweden,Finland,Romania,Greece,France,France,France,France,Netherlands,Portugal
Call: Framework Partnership Agreement in European low-power microprocessor technologies (H2020-ICT-2017-2, 2017)
Start date: 2018-02-21
End date: 2020-12-20
Duration (months): 34.0
Total project cost (EUR): 0.0
EU funding (EUR): 0.0
Participants: 32
Project status: SIGNED

The European Processor Initiative (EPI) will mobilise the continent’s High Performance Computing (HPC) ecosystem to develop new low-power processors for HPC and embedded systems. The aim is to use the results in the world-class exascale platforms that the EU is planning for 2022 and 2023. EPI will follow a co-design approach through a partnership between Europe’s IT/semiconductor industry and computer science research community on the one hand; and its potential scientific and industrial users on the other. The consortium covers the complete range of expertise, skills and competencies needed to design and execute a sustainable roadmap for research and innovation in HPC and emerging applications, including Big Data, which will bring results right to market. In order to have a solution for 2022-23, EPI will design and develop the first European ARM-based HPC System on Chip, which will combine ARM cores with European technology. In parallel, the consortium will design and develop an accelerator based on the RISC-V instruction set architecture, containing only European and Open-Source technology. This technology is not as mature but has a lot of potential in the medium to long term. Both elements will be implemented and validated in a prototype. Subsequent generations of them will form the basis for future heterogeneous exascale systems. Due to the limited size of the HPC market, other markets will also be targeted, and a customized solution will be designed for the automotive sector. An embedded implementation of the chips, with the performance and energy efficiency and safety constraints needed for autonomous cars, will be co-designed with key players from the EU automotive value chain. A first prototype will be available in 2021. EPI will maximise the synergies between the ARM, RISC-V and automotive streams of the initiative, and will work with existing EU initiatives on technology, infrastructure and applications, to position Europe as a world leader in HPC.

Keywords: hpc soc low power chip processor automotive
innovative hot chamber Medium Pressure Die Casting process for Aluminium (MPDCA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: Italy
Call: Accelerating the uptake of nanotechnologies advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2018-04-01
End date: 2018-08-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Aluminium’s desirable properties – high strength-to-weight ratio, durability, formability and recyclability, among others – are increasing its demand both in Europe and globally, mostly by the automotive sector, driven to replace heavy steel car parts in order to improve fuel efficiency and comply with stringent carbon emission mandates (the 95g/km carbon emission 2020 target). This vastly contributes to the forecast growth of aluminium castings from the current €47billion to €66.8billion by 2020. We at Newmec s.r.l, manufacturers of die casting machinery, have realised that die casters and car makers – our targeted users – are producing aluminium parts using inefficient cold chamber die casting method, thus hindering the full potential of aluminium. The limitations of this sole technology for aluminium die casting are ranging from higher energy consumption, lower part quality/mechanical properties to more capital coupled with high operation & maintenance costs. Our solution lies in #MPDCA, the innovative hot chamber medium pressure die casting process for aluminium. #MPDCA adapts the hot chamber die casting process to aluminium by incorporating a unique injection pump with novel anti molten aluminium corrosion composites. The benefits of #MPDCA speak by themselves: high quality aluminium parts; 20% lower investment and operational costs; 25% reduction in energy use and 35% less footprint; possible retrofit on cold chamber die casting technology. In Phase1, we plan to validate the design specifications of the injection pump, outline the validation test guidelines and consolidate our commercialisation strategy and business plan. These activities will supplement our €1 million worth of work already invested to bring #MPDCA to its current TRL6 status. We expect a €24 million accumulated profit after 5 years of exploitation of the technology.

Keywords: die casting,aluminium,hot chamber die casting,hcdc,cold chamber die casting,ccdc,high pressure die casting,medium pressure die casting,molten aluminium,corrosion,injection pump,automotive
PlAsmon InduceD hot Electron extraction with doped semiconductors for Infrared solAr energy (PAIDEIA)

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: Italy,Italy
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2019-04-01
End date: 2025-03-31
Duration (months): 72.0
Total project cost (EUR): 1815445.0
EU funding (EUR): 519000.0
Participants: 2
Project status: SIGNED

Earth is inhabited by an energy hungry human society. The Sun, with a global radiation at the ground level of more than 1 kW/m^2, is our largest source of energy. However, 45% of the total radiation is in the near infrared (NIR) and is not absorbed by most photovoltaic materials. PAIDEIA focuses on two main advantages aiming to enhance the capacity of solar energy conversion: i) plasmon assisted hot carriers extraction from NIR plasmonic materials; ii) linewidth narrowing in plasmonic nanoparticle films that enhances the lifetime of hot carriers and, thus, boosts the efficiency of light driven carrier extraction. Instead of metals, which operate mostly in the visible region, we will make use of doped semiconductor nanocrystals (DSNCs) as hot electron extraction materials possessing a plasmonic response tunable in the range 800 nm – 4000 nm. Three different innovative architectures will be used for improved device performance: i) improved Schottky junctions (DSNC/wide band gap semiconductor nanocomposites); ii) ultrathin devices (DSNCs/2D quantum materials); iii) maximized interface DSNC/semiconductor bulk hetero-Schottky junctions. By combining both concepts in advanced architectures we aim to produce a solar cell device that functions in the NIR with efficiencies of up to 10%. A tandem solar cell that combines the conventional power conversion efficiency, up to ~1100 nm, of a commercial Si solar cell (~20%) with the new PAIDEIA based device is expected to reach a total power conversion efficiency of 30% by extending the width of wavelengths that are converted to the full spectral range delivered by the Sun. PAIDEIA has a deeply fundamental character impacting several areas in the field of nanophysics, nanochemistry and materials processing and, at the same time, having a high impact on the study of solar energy conversion. Finally, PAIDEIA will provide answers to the fundamental questions regarding the physical behaviour of plasmonic/semiconductor interfaces.

Keywords: fabrication of nanocomposites for solar energy,semiconducting nanostructure films,plasmonic material,semiconductor junctions
Quantum transport in a disordered two-dimensional ultracold Fermi gas (VorDIST)

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: Physics
Countries involved: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-09-01
End date: 2021-08-31
Duration (months): 24.0
Total project cost (EUR): 183473.28
EU funding (EUR): 183473.28
Participants: 1
Project status: CLOSED

Disorder is omnipresent in nature and has a strong impact on quantum materials. The paradigmatic example is Anderson localization of a single particle but many more intriguing situations can arise for many-body systems depending on the interplay between interaction and disorder. The metal-insulator and superconductor-insulator transitions, which highlighted the importance of interaction, still remain enigmatic phenomena. Another profound effect of disorder in superconductors takes place in type-II superconductors, which involve quantum vortices. A quantum vortex in a superconductor is highly influenced by the presence of defects and its mobility is the key ingredient for superconductivity. Despite its importance, a clear understanding of disorder physics is still lacking because of unavoidable complexities in condensed matter systems. In this project, we explore disorder physics with ultracold atomic gas. The ultracold atomic gas system has been recognized as an excellent quantum simulator because it provides an unprecedentedly controllable and clean testbed. Quantum simulations with quantum gas have successfully addressed important, yet unsolved physical problems in many different fields. Here, we will carry out experimental studies of two-dimensional (2D) Fermionic quantum gas under disorder potential. Our first goal is the observation of 2D Anderson localization. Then we will further investigate the interplay between interaction and disorder. We aim to reveal the robustness of the order parameter of superfluid when the superfluid is transformed into an insulating phase. Next, we will obtain a phase diagram of a disordered 2D system. Lastly, we want to address the paradigmatic problems of vortex matter in a superconductor, both in a single and a bilayer system. Thus, we can unveil vortex dynamics in disordered superfluids.

Keywords: vortex,superfluid,disorder,transport,interaction
Pictogram: a Digital Environment for Autism Spectrum Disorder Treatment & Management (Pictogram)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2019-02-01
End date: 2019-05-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Yottacode® is a spin-off originated at the University of Jae?n, Spain, after participating in a FP7 project. We have been selected from the European projects “Startup Scaleup” and “Startup Europe”. We are specialized on developing therapeutic software for cognitive-communication disorders. An important percentage of the world population suffers some sort of cognitive mis-function related to the use of language, such as people suffering from Autism (ASD). The World Health Organization estimated that worldwide 0.6% children have ASD. In Europe, it is estimated to be affecting 0.62–0.70% of the population, while prevalence appears to be increasing. A recent study estimated to €226 billion the total annual cost of Autism in the EU. There is an increasing need for innovative solutions to deliver inexpensive mental healthcare to the population. We will design an innovative software (Pictogram) for early-age ASD children, allowing the transition from a piece of paper to an electronic device, giving children a chance to learn new skills and be independent. The software will integrate a secure communication platform with real-time data, enabling customization and access to feedback on performance, implementing new professional therapies and technological improvements. After our initial studies, we developed a prototype that has been theoretically and scientifically validated. From the feasibility study we would like to obtain crucial information for the finalization of Pictogram's Commercial Product. We will pursue the last steps of development to get it working in different compatible devices, integrating it into a BIG DATA & Machine Learning platform, adapting it to other cognitive-communication disorders, and finally conducting the appropriate clinical trials. After 5 years from market launch, Pictogram will be installed in ~203K devices (~4.5% of the world market). The associated social impact of the project is estimated by a Social Return on Investment of 2.7.

Keywords: therapeutic software,cognitive disorder,authism spectrum disorder,big data,machine learning
Artificial metabolic cells for biomanufacturing of bio-based chiral fine chemicals (METACELL)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Biotechnology and Biosystems Engineering
Panel description: Biotechnology using all organisms, biotechnology for environment and food applications, applied plant and animal sciences, bioengineering and synthetic biology, biomass and biofuels, biohazards
Countries involved: Spain
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2020-01-01
End date: 2025-12-31
Duration (months): 72.0
Total project cost (EUR): 1995894.0
EU funding (EUR): 1995894.0
Participants: 1
Project status: SIGNED

One of the major challenges of sustainable chemistry is expanding the palette of bio-based chemicals that can replace, or at least ameliorate, the exploitation of fuel-based chemicals. Cell-free metabolic engineering using soluble enzymes is an emerging and versatile approach that seeks to increase the selectivity and productivity of chemical biomanufacturing processes. However, soluble and isolated enzymes present major issues in terms of efficiency, stability and re-usability that hamper industrial applications. To solve these problems, enzymes can be rationally immobilized on smart materials resulting in robust, efficient and self-sufficient heterogeneous biocatalysts, but immobilization is still restricted to simple enzyme cascades. METACELL mission is developing self-sufficient artificial metabolic cells (AMCs) by immobilizing complex metabolic networks on hierarchical porous materials. To this aim, the solid surfaces must play an active role in the chemical process rather than just being a mere immobilization support. This integrative proposal will exploit protein engineering, surface chemistry, bio-organic chemistry and protein immobilization tools for the successful development of 1) a cell-free artificial metabolism, 2) innovative engineering tools to modify both enzyme and material surfaces and 3) continuous synthesis of industrially relevant fine chemicals catalyzed by AMCs packed into flow reactors. The resulting technology of METACELL will serve as a prototyping platform to test artificial biosynthetic pathways with application in combinatorial chemistry (e.g drugs discovery). METACELL may also offer long-term solutions for the on-demand production of drugs at the point-of-care. In addition to the technological outputs, METACELL will also provide essential information to understand how spatial organization of multi-enzyme systems affect the performance of in vitro biosynthetic pathways confined into artificial chassis (solid materials).

Keywords: enzymes,protein immobilization,protein engineering,flow biocatalysis,synthetic chemistry
Touchless fingerprinting scanner (Digitus)

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,Switzerland
Call: FET Innovation Launchpad (H2020-FETOPEN-2018-2019-2020-03, 2019)
Start date: 2020-07-01
End date: 2021-12-31
Duration (months): 18.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 2
Project status: CLOSED

The use of fingerprints for personal identification dates back to the ninetieth century, while its digital integration into every day devices is relatively new. Almost 350 million fingerprint sensors will be shipped next year only for consumer electronics applications, for a market worth around 10 B€ globally. With the world progressively going digital, digital security is the main concern and our daily experience highlights two main issues with respect to fingerprint sensors. Reliability of the fingerprint sensor is a major issue, as capacitive fingerprint sensors can be easily spoofed. Form factor is another one: fingerprint sensors take a vital space of the display, challenging the ongoing trend of borderless consumer electronics. That is why the electronics industry is searching for a new technology to create a 3D image of the fingerprints, which is more secure, energy efficient and seamlessly integrated in the device. At Piemacs, we have developed a novel technology to realise a fingerprint sensor based on ultrasounds that can scan a fingerprint through a surface, having high accuracy yet at prototypal stage, and also discriminating live from dead fingers. This provides utmost reliability and allows the sensor to be embedded underneath the display or the user interface of any device. The DigitUs ultrasonic sensor is based on a piezoelectric thin film proposed within the FET-OPEN project BioWings, whose main goal is to realise a vibrating membrane that emits ultrasound waves into a liquid flowing through a channel. Piemacs’ solution is based on PZT, a piezoelectric material which is at least 10 times stronger than the materials currently used for integrated ultrasound scanners and which can be readily integrated into MEMS, paving the way to the adoption of the solution into mainstream applications. Besides, the technology has the possibility to be integrated under many different materials such as glass, polymers and even some metals.

Keywords: digital security,fingerprint scanner,ultrasound
NEBU-ONE : A revolutionary method for anatomic pathology slides staining (NEBU-ONE)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: France
Call: Clinical research for the validation of biomarkers and/or diagnostic medical devices (H2020-SMEINST-1-2015, 2015)
Start date: 2016-03-01
End date: 2016-07-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Anatomic pathology laboratories (APL) across Europe have a responsibility to urgently modernize and sustain increasing efficiency, leverage automation, and foster patient safety. Misidentification errors in laboratories have the capability to cause devastating events, both at medical and economic level. It is estimated that 30% of cytological cell samples are misinterpreted as negative for cancer. That represents 1.65 millions of samples per year. One of the most important problems for APL is the increase of the number of biological screening samples to be processed due to the lengthening of the lifetime and increased number of cancers. Only screening of cervical cancer, which represents today about 200 million tests worldwide and the market of about 1 milliard of euros, should double by 2020. Optana Technologies is developing a breakthrough medical device called NEBU-ONE, for highly improved and automated biological sample staining. NEBU-ONE contains a proprietary “nebulization heads” which deposits staining reagents in the form of aerosol (microdroplets) allowing them to penetrate much deeper and much faster into the tested samples (cells and tissues) compared to standard techniques. Often present cross-contamination between samples will be also decreased, as well as a consumption of expensive and pollutants reagents. All these will lead to increased quality of sample staining, improved accuracy of the analysis and interpretation and better diagnosis and patient care. It will allow Optana Technologies to become the reference method in the APLs and to grow rapidly in the European market. We plan to achieve the turnover of 4.3 M€ in 2020 and create 5 new highly qualified post. This feasibility study is essential to validate our innovative business model and NEBU-ONE before its transfer in routine laboratory practice and industrial production.

Keywords: anatomic pathology,slides staining,stainers,nebulization,histology,cytology,tissue diagnostics