Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Light Induced Bipolar Electrochemical Doping in Perovskite Devices (LIBED-PDs)

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: Chemistry
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-09-01
End date: 2022-08-31
Duration (months): 24.0
Total project cost (EUR): 160932.48
EU funding (EUR): 160932.48
Participants: 1
Project status: CLOSED

Photonic and electronic devices are developed by manipulating the electronic structure of semiconductors and dielectric materials. Fabrication routes that utilize lithography, ion implantation, and self-assembly are expensive or hard to control. Ion-doped organic semiconducting films hold the potential for easy-to-fabricate single-layered devices via solution-based deposition techniques. Currently, flexible devices are fabricated as a stack of uniform thin films with single or multiple semiconducting layers. Modifying the two-dimensional (2D) electronics structure in each film allows for making complex three dimensional (3D) on-chip photonic and electronic devices. Solid-state bipolar electrochemistry was demonstrated in planar Light-emitting Electrochemical Cells (LECs). A conducting floating bipolar electrode (BPE) is placed between the driving electrodes were redox reactions take place driven by the potential drop at the BPE-extremities. Recently, light was shown to induce the same effect in the mixed (ionic-electronic) conducting films. Here, we propose to utilize this non-contact method to locally induce doping in perovskite nanoparticle photonic devices, aiming for two major finding. On one hand, we will take advantage of this optical technique to study degradation mechanism in perovskite nanoparticle surrounded by ionic electrolytes in order to identify the best electrolyte towards enhancing device performance. On the other hand, we will explore new 2D photonic patterns written in planar and flexible perovskite photonic devices. Methods to fix doping in the formed devices will be established. This includes post-doping polymerization or cross linking, as well as high-temperature glass transition ionic conductor along with photothermal nanoparticles. Success of this project will be of high interest for research and industrial applications in perovskite photonics focused on, for example, lighting, lasers sensing and data processing.

Keywords: electronic ionic conductors
NEUROON-MED – the future of at-home diagnosis of sleep disorders (NEUROON-MED)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Poland
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2017-06-01
End date: 2020-05-31
Duration (months): 36.0
Total project cost (EUR): 2321250.0
EU funding (EUR): 1624875.0
Participants: 1
Project status: CLOSED

More than 100 million people suffer from sleep apnea (SA) worldwide according to the WHO data. People with SA have a life expectancy 20 years shorter than the average life span. Additionally, they have a three- to sevenfold increased risk of motor vehicle crashes. The economic impact of sleep disorders is massive, specialists from the Harvard School of medicine calculated that costs of SA only in the US accounts for $115 billion every year. The main problem the world is facing with stopping the SA epidemic is not a treatment but diagnosis. It is estimated that 85% of people who suffer from SA have never been diagnosed. The reason for the low screening rate of SA is a limited access to polysomnography (PSG) – the gold standard for testing sleep disorders. At Inteliclinic, we have developed the NeuroOn-MED mask which is addressing the customers need for effective and inexpensive solution for home diagnosis of SA. Our advantage over competitors is built upon the technological excellence of NeuroOn-MED, which analyses the brainwaves and eye movements in the same way as PSG does. The sensors of NeuroOn-MED (EEG, EOG, pulse oximetry, and others) combined with artificial intelligence algorithms for sleep data analysis provide +90% of PSG effectiveness, allowing for distinguishing between sleep stages and various variants of SA. Comparing with the currently offered home sleep monitors which are capable only of diagnosing moderate and severe SA cases. Moreover, the price of our device will be lower than currently offered solutions. NeuroOn-MED is perfectly aligned with new trends in remote diagnosis of sleep disorders. The market of SA diagnostic devices is expected to reach a value of $7.3 billion in 2018, with a CAGR of 15.0%. The proposed SMEI-funded project will be focused on clinical studies of the NeuroOn-MED, which will lead to registration as a medical device and fast commercialisation on European and US markets in 2019-20.

Keywords: sleep apnea diagnosis,home sleep monitoring,telemedicine,cloud data processing,intelligent sleep mask
Concerted action for the European HPC CoEs (FocusCoE)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: European Data Infrastructure
Action type: Coordination and support actions
Partnership: HPC PPP (cPPP)
Countries involved: Germany,Ireland,Germany,Germany,Spain,Italy,Germany,Belgium,Sweden,France,France,United Kingdom
Call: HPC PPP - Centres of Excellence on HPC (H2020-INFRAEDI-2018-1, 2018)
Start date: 2018-12-01
End date: 2022-03-31
Duration (months): 40.0
Total project cost (EUR): 1997921.25
EU funding (EUR): 1997921.25
Participants: 12
Project status: CLOSED

High Performance Computing (HPC) has been recognised by the European Union as a key component of the digital single market strategy. The EuroHPC Joint Undertaking is being created to support an integrated European HPC ecosystem covering all scientific and industrial value chain segments (hardware, software, applications, services, interconnections, and skills). HPC applications have a pivotal role in the HPC ecosystem: borrowing a promotional slogan used previously by the IEEE SC (supercomputing) conference – HPC Matters, primarily because the use of HPC (to address industrial, scientific and societal challenges) matters! As has been presented by the European Commission and the European Technology Platform for HPC (ETP4HPC) when establishing the contractual public private partnership (cPPP) for HPC, the European HPC Centres of Excellence (CoEs) constitute the applications-oriented pillar of the European HPC Initiative (complementing infrastructure and computing technology development). FocusCoE will contribute to the success of the EU HPC Ecosystem and the EuroHPC Initiative by supporting the EU HPC CoEs to more effectively fulfil their role within the ecosystem and initiative: ensuring that extreme scale applications result in tangible benefits for addressing scientific, industrial or societal challenges. It will do this by creating an effective platform for the CoEs to coordinate strategic directions and collaboration (addressing possible fragmentation of activities across the CoEs and coordinating interactions with the overall HPC ecosystem) and will provide support services for the CoEs in relation to both industrial outreach and promotion of their services and competences by acting as a focal point for users to discover those services.

Keywords: centres excellence,eurohpc,industrial outreach,training,dissemination
Perceptually-Driven Optimizations of Graphics Content for Novel Displays (PERDY)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Switzerland
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-02-01
End date: 2024-01-31
Duration (months): 60.0
Total project cost (EUR): 1497302.0
EU funding (EUR): 1497302.0
Participants: 1
Project status: SIGNED

Displays play a vital role in many professional and personal activities. They are a crucial interface between a user and the digital world in tasks involving visualization and interaction with digital data. The abilities of new display technologies regarding reproduction of important visual cues, such as binocular disparity, accommodation, or motion parallax, outperform the capabilities of methods for optimizing graphics content to match the requirements of particular hardware designs. This leads to a poor visual quality and massive computational overhead, which hamper the adoption of novel displays. I argue that there are significant gaps between hardware, computational techniques, and understanding of human perception, which prevents taking full advantage of these technologies. To overcome these limitations, I and my team will combine hardware, computation, and perception into a unique platform where the capabilities of displays and quality requirements are represented in a shared space. The basis for our project will be in-depth understanding of human perception. Our experiments will focus on three aspects: (1) investigation of perceptual limits across a wide field of view, (2) involving all visual cues, and (3) establishing optimal trade-offs between different quality aspects. We will build efficient computational models that will predict perceived quality and enable perceptual optimizations to drive new content adaptation techniques. This project will contribute display-specific perceptual optimizations of graphics content to match the requirements of human perception. It will address the key aspects of portable devices such as energy efficiency and visual quality. Our experiments and modeling of human perception will provide crucial insights into new hardware developments. The contributions will be necessary for development and standardization of new, high-quality display devices which will not only improve existing applications but also enable new ones.

Keywords: perception,novel display technologies,content adaptation
GAIA-Health: microbiome suite for personalized medicine (GAIA-Health)

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: 2019-06-01
End date: 2019-11-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

GAIA-Health: microbiome suite for personalized medicine Genomic revolution is transforming our approach to treat patients by individualizing treatments that reduce adverse events and in turn decrease health care costs. Microbiome analysis can in fact be used for diagnosis and potentially prognosis of various diseases such as cancer, Crohn’s disease, metabolic disorders, reproductive health and skin pathologies and infections, as well as autoimmune, respiratory and mental diseases. Due to its broad adoption in a variety of medical and biotech domains, the global human microbiome market is witnessing an annual growth rate (CAGR) of 18,5%. However, the the cost and the complexity of microbiome data analysis and management represents the main bottleneck in this market, preventing a broader adoption of personalized medicine and diagnostic, as well as the discovery of new therapeutic targets where there is a lack of treatments for specific diseases. Our product - GAIA Health - bridges the gap between data production and interpretation in the health, diagnostic and biotech sector. Gaia-Health is a cutting edge omics tool that is able to detect, quantify and evaluate the biological composition of any type of sample of human microbiome (gut, skin, mouth and biofluid). GAIA Health offers unique insights into human health. It is the solution for every customer who needs customized microbiome analysis with superior precision and detection power, for faster, easier and effective personalized medicine, treatments and therapies. GAIA-Health stands apart from its competitors because of its superior precision and detection power; a Multi-diagnosis system - for this first type Gut, Skin, Mouth and Reproductive Health Analysis in one suite; and its Immediately actionable results, allowing faster and more reliable decision making .

Keywords: micriobiomics,metagenomics,human microbiome,personalized medicine
Laser Bionic Surfaces (LaBionicS)

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: Greece
Call: FET Innovation Launchpad (H2020-FETOPEN-4-2016-2017, 2017)
Start date: 2018-09-01
End date: 2020-02-29
Duration (months): 18.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

LaBionicS aims at both commercializing and industrializing a surface laser processing approach for biomimetic surface texturing developed during LiNaBioFlud project. This approach provides controlled formation functional (micro-/nano- structured) surface textures that mimic skin structures found in different animals and insects (biomimetic surfaces). More specifically the project will use the advanced laser-processing strategies, developed during the LiNaBioFLuid project, based on self-organization of material surface, to mimic the specific topography of the integument of bark bugs, sharks, butterfly wings and moisture harvesting lizards. Our investigations gave strong indications that these nano-features play an important role for the functionalizing surface in engineering applications relevant to Directional Fluid transport, Antibacterial / Antifouling, Antireflectance, Drag reduction, Friction Reduction, Self Cleaning and Water repellency. Beside these main advantageous functionalities, the approach has enormous versatility for modulating the final biomimetic properties and applicability in a real industrial line. The project will follow an open innovation approach with three main enablers for commercializing and industrializing the technology. There are three main enablers/themes that will facilitate the work of the LaBionicS project that will enable the funneling of different ideas into viable highly potential commercial applications.

Keywords: commercialization,industrialization,biomimetic surfaces,laser processing
Phase modulating micro mirror array for real holographic mixed-reality displays (REALHOLO)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: Photonics (cPPP)
Countries involved: Germany,Germany,Austria,Belgium,Poland,France,France,Netherlands
Call: Disruptive photonics technologies (H2020-ICT-2020-2, 2020)
Start date: 2021-01-01
End date: 2024-12-31
Duration (months): 48.0
Total project cost (EUR): 5997852.5
EU funding (EUR): 5997852.5
Participants: 8
Project status: SIGNED

REALHOLO is a project to develop an advanced micro-mirror-based piston type spatial light modulator SLM for real holographic 3D mixed reality MR display applications, active illumination and sensing. The plan is to create a micro-mirror-array MMA, modulating the phase of visible light with optical features far superior to any liquid crystal-based alternative and to binary micro-mirror SLM. The core technology will be developed in a high bandwidth CMOS backplane design and interfaces, in MEMS mechanics and optics for very small mirrors, in semiconductor micro-mirror fabrication and packaging technologies, in real-time computation and driving of real holographic content, in projection optics. The goal is an application-specific demonstration of the MMA in automotive use in real holographic MR head-up display HUD and active head lamp projection system; enable future applications like real holographic head-mounted displays HMD. To achieve the goals REALHOLO will develop dedicated core hardware concepts and modules for integration in desired phase SLM, based on consortium partners’ selected prior design development, simulation results, practical tests of key technological and optical aspects and use case research. A further development is the corresponding high speed and high bandwidth control hardware and software for generating and driving signals for the new SLM. The developed module solutions will be integrated in a packaged optical system for further integration with validation use case in real holographic 3D image system. With REALHOLO the consortium enables a revolutionary next generation light modulating device for a variety of new and proprietary applications with unique features in natural 3D imaging, highly efficient active illumination, irradiation, sensing, etc. This will strengthen the European research, development and manufacturing in industries and institutions ranging from optical, electronics, automotive to bio/-medical, agricultural and outer space.

Keywords: real holographic,mixed reality,augmented reality,display,micro display,micro mirror array,phase modulation,head up display,automotive active head lamps,optical applications,cmos,mems
Adapting recurrent neural network algorithms for single molecular break junction analysis (MEANN)

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: Chemistry
Countries involved: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-06-01
End date: 2022-05-31
Duration (months): 24.0
Total project cost (EUR): 207312.0
EU funding (EUR): 207312.0
Participants: 1
Project status: CLOSED

Molecular Electronics Artificial Neural Networks (MEANN) will adapt for the first time a recurrent neural network (RNN) to address complex multivariate correlation questions that arise in single molecular break junction (SMBJ) experiments. The hypothesis is that a RNN will be better than a human at identifying relationships between nanoscopic geometry changes of the junctions and the measured variables in SMBJ data sets, with little or no human bias. These improvements in the data analysis approach will allow researchers to address many of the present problems in SMBJ research, most notably reproducibility and bridging the theory-experiment gap. The proposal has three objectives to implement this goal. I will: (1) generate simulated SMBJ data and use this simulated data to train a RNN to sort SMBJ data into classes with unique and significant features in the data; (2) measure large sets of experimental data while on secondment and apply the trained RNN to the experimental data to sort the experimental data into the classes the RNN has already identified in the simulated data; and (3) derive a deeper understanding of the relationships between the physical processes involved in the break junction, and the observable variables of the experiment. MEANN maximizes my development as a researcher by exposing me to three important opportunities: (1) a world class theoretical chemistry group where I will learn computational and management skills necessary for my future as a researcher, (2) new experimental physics techniques while on secondment, and (3) planning an Applied RNN Summit where I will network with industry leaders in RNN development, share my expertise with peers, and prepare teaching materials to introduce my research to students. As a result of MEANN, researchers will have new tools to generate simulated SMBJ data, analyse their experimental data quickly and objectively, and answer important questions in condensed matter physics and physical chemistry.
Affordable, low temperature, rapid and energy efficient dual frequency microwave assisted vacuum system for drying and cooking foods (MILDTECH)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: United Kingdom
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-12-01
End date: 2022-07-31
Duration (months): 32.0
Total project cost (EUR): 2620975.0
EU funding (EUR): 1834682.5
Participants: 1
Project status: CLOSED

Freshseal Ltd. is a food and catering equipment company that is scaling up and bringing to the EU and global food processing and catering industries a revolutionary dual-purpose machine for the affordable, low temperature, fast and energy efficient dual frequency microwave vacuum drying & cooking system. Building on the results of the FP7 MILD-DRY project that successfully demonstrated the system in a relevant environment (TRL6), in a subsequent Phase 1 SMEI grant we performed a Feasibility Study to validate a 30kW unit of the new MILDTECH system for drying high value, heat sensitive foods such as mint, in addition to carrots, parsnips, bananas, beetroots, grapes, strawberries and fish, and for cooking whole chickens, chicken fillets and chicken parts. In Phase 2, we will develop additional applications for popular dried and cooked foods, build a library of recipes for optimally controlling the machine depending of the foodstuff to be dried/cooked, implement a smart control system, optimise & downsize the power of the current 30kW unit to a 5kW unit- based on further testing that has revealed that we will be able to produce the same throughput of product in the same amount of time with much less power- with a drying/cooking capacity of 250kg/hour for solid products. We will also produce a smaller catering unit of 2.5 kW power (50 kilos/hour capacity), as well as design a domestic unit (2kW). On the longer term, we will develop a large-scale 20 meters long industrial unit of 100kW with a conveyorized loading/unloading and a 1000 kg/h capacity. Our new machine is ideally suited for the drying of high value, heat sensitive foods at reduced drying times (40% faster than conventional microwave vacuum dryers), resulting in up to 80% less energy consumption, lower running costs, increased product throughput, improved food quality and extended shelf life compared to conventional drying methods. The system will also be capable of reduced cooking times, under a lower heat than conventional ovens resulting in less moisture loss compared to conventional ovens leading to less weight loss (10-15% savings).

Keywords: microwave vacuum dryers,dual frequency microwave under vacuum,food drying and cooking system,heat sensitive foods,extended shelf life