Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Carbon Nanomembranes with Sub-Nanometer Channels for Molecular Separation in Organic Liquids (CNSOL)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-10-14
End date: 2021-10-13
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

Energy efficiency is a key principle of the EU’s 2020 strategy for smart, sustainable and inclusive growth, and implementation of this strategy requires innovation in energy intensive industries. Organic solvent nanofiltration (OSN) meets this need—it is a membrane-based separation with the potential to achieve more than 90% energy savings over conventional distillation in the energy intensive chemical industry. Current challenges for OSN are the need for materials with high flux, high selectivity and high chemical resistance. This proposal advocates meeting this need by constructing a membrane with: i) an ultrathin selective layer, ii) uniform pore sizes and iii) a cross-linked network. Carbon nanomembranes (CNMs) are 2D materials made by crosslinking of self-assembled monolayers; this results in a film with single-molecule thickness. CNMs mainly comprise carbon, resulting in chemically-stable separating layers. Also, their molecular structure is tunable by synthesis with purpose-designed molecules. Recently, the Fellow was part of the team which created the first 1.2-nm thin CNM with a high density of sub-nm channels, providing ultrafast permeation of water while blocking the passage of most other molecules. This project will combine the Fellow’s expertise in the development of single-molecule-thick films with the host’s expertise in OSN and interfacial synthesis; it aims to design new nanomaterials for advancing molecular separation in organic liquids. The objectives of the project are to: 1) demonstrate the ability of freestanding CNMs for OSN; 2) explore the tunability of CNMs at a molecular level for improved selectivity; 3) create nanocomposite membranes comprising interfacially synthesized mesoporous films supporting CNM separating layers. This highly innovative and interdisciplinary research will promote the Fellow’s career prospects by widening her research perspectives, enriching her research experiences and expanding her network with European colleagues.

Keywords: organic solvent nanofiltration,molecular separation,molecular self assembly,2d material,interfacial synthesis
Conquering a New Paradigm for Addressing Ion Detection in Real Scenarios (ConquerIons)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Spain,Sweden
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2021-01-01
End date: 2025-12-31
Duration (months): 60.0
Total project cost (EUR): 1605248.75
EU funding (EUR): 1283460.0
Participants: 2
Project status: SIGNED

ConquerIons is seeking a definitive solution for the detection of ions in real scenarios by innovatively addressing the limitations of traditional ion-sensing concepts in terms of effectiveness, sensitiveness, robustness and downscaled platforms. The project proposes a new generation of voltammetric, amperometric and optical ion sensors based on calibration-free selective membranes inspired by conventional membranes used in the well-established potentiometry field but with a thickness at the nanoscale. The uniqueness of the dynamic electrochemical tuning of ion-transfer processes across these nano-membranes opens up a revolutionary approach that allows for the monitoring of ion concentration in a sample with unprecedented analytical performance. Thus, the project combines efforts from the synthetic chemistry, material science, nanoscience, electrochemistry and analytical chemistry disciplines resulting in a universal concept for the reliable detection of ions. ConquerIons is based on a research approach carefully designed mainly considering the following challenges: (i) the use of novel materials to afford a robust and universal detection; (ii) the implementation of thin-layer concepts of electrochemical and/or optical-sensing platforms to achieve reduced limits of detection and calibration-free methodology; (iii) the translation of the developed concepts to the single-entity scale (i.e. single nanoparticles) towards the study of ion-transfer processes employing, for the first time, ‘nanocoulometry’ readout; and (iv) exploitation of sensors from the laboratory context based on relevant cases as the next step towards the final use as daily smart informers operating in real scenarios. This latter purpose will lead to a series of extraordinary analytical applications from a long-term perspective related to very distinct fields, such as cell-scale therapies and speciation of trace ion levels in environmental analysis.

Keywords: smart informers,ion detection,selective membranes,calibration free,thin layer samples,single entity,nanocoulometry
Unlikely Intersection and Uniform Bounds for Points (UnIntUniBd)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Germany,France
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2020-09-01
End date: 2025-08-31
Duration (months): 60.0
Total project cost (EUR): 1499916.0
EU funding (EUR): 1364063.5
Participants: 2
Project status: SIGNED

I propose to investigate the following long expected but widely open uniform bounds on rational and algebraic points. (1) Mazur’s conjecture on the number of points on curves, which implies the following two strong bounds: (1.i) the number of rational points on a smooth projective curve of genus g at least 2 defined over a number field of degree d is bounded above in terms of g, d and the Mordell- Weil rank; (1.ii) the number of algebraic torsion points on a smooth projective curve of genus g at least 2 is bounded above only in terms of g. (2) Generalize the bound in (1) to higher dimensional subvarieties of abelian varieties. (3) Extend the bounds to semi-abelian varieties. Compared with existing results, the Faltings height is no longer involved in the bounds. The proofs I propose are via Diophantine estimates. Functional transcendence and unlikely intersections on mixed Shimura varieties play important roles in the proofs. Hence as pre-requests and extensions of the three goals listed above, I will also continue investigating on functional transcendence and unlikely intersection theories as well as their potential other interesting applications in Diophantine geometry.
Mining Microbes and Developing Advanced Production Platforms for Novel Enzymes To Rapidly Unleash Xylans’ Potential In a Scope Of Products For the Consumer Market (EnXylaScope)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable and competitive bio-based industries and supporting the development of a European bio-economy
Action type: Research and Innovation actions
Countries involved: Ireland,Germany,Ireland,Germany,Spain,Sweden,Norway,Sweden,Finland,France,Netherlands,Denmark,Portugal
Call: Enzymes for more environment-friendly consumer products (H2020-FNR-2020-2, 2020)
Start date: 2021-05-01
End date: 2025-04-30
Duration (months): 48.0
Total project cost (EUR): 6040815.0
EU funding (EUR): 5898424.92
Participants: 13
Project status: SIGNED

EnXylaScope will discover novel enzymes for debranching xylan, a highly abundant polymer in plants. Productions systems for these enzymes will be optimised and the enzymes will be applied to produce a debranched (water-insoluble) form of xylan that has properties which make it suitable as ingredients in a scope of consumer products. The debranched xylan will be further modified, using available enzymes, to confer functionalities that expand the range of potential consumer products. In total 3 types of enzymatically modified xylan will be made and will be application tested for 6 consumer products. These product span 3 sectors (cosmetics, personal care, nutraceuticals). Advanced techniques will be used for the discovery, production, and formulation of these enzymes and the project is designed so that maximal research outputs are achieved in the period and that the post-project timeframe for launching these products on the market is significantly reduced.

Keywords: enzymes,bioprospecting,xylan,big data,computational modelling
A new concept for ultra-high capacity wireless networks (ATTO)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Belgium
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2017-01-01
End date: 2023-06-30
Duration (months): 78.0
Total project cost (EUR): 2496250.0
EU funding (EUR): 2496250.0
Participants: 1
Project status: SIGNED

The project will address the following key question: How can we provide fibre-like connectivity to moving objects (robots, humans) with the following characteristics: very high dedicated bitrate of 100 Gb/s per object, very low latency of <10 μs, very high reliability of 99.999%, very high density of more than one object per m2 and this at low power consumption? Achieving this would be groundbreaking and it requires a completely new and high-risk approach: applying close proximity wireless communications using low interference ultra-small cells (called “ATTO-cells”) integrated in floors and connected to antennas on the (parallel) floor-facing surface of ground moving objects. This makes it possible to obtain very high densities with very good channel conditions. The technological challenges involved are groundbreaking in mobile networking (overall architecture, handover with extremely low latencies), wireless subsystems (60 GHz substrate integrated waveguide-based distributed antenna systems connected to RF transceivers integrated in floors, low crosstalk between ATTO-cells) and optical interconnect subsystems (simple non-blocking optical coherent remote selection of ATTO-cells, transparent low power 100 Gb/s coherent optical / RF transceiver interconnection using analogue equalization and symbol interleaving to support 4x4 MIMO). By providing this unique communication infrastructure in high density settings, the ATTO concept will not only support the highly demanding future 5G services (UHD streaming, cloud computing and storage, augmented and virtual reality, a range of IoT services, etc.), but also even more demanding services, that are challenging our imagination such as mobile robot swarms or brain computer interfaces with PFlops computing capabilities. This new concept for ultra-high capacity wireless networks will open up many more opportunities in reconfigurable robot factories, intelligent hospitals, flexible offices, dense public spaces, etc.
PRINTOO - flexible, thin, printed electronics prototyping kit (PRINTOO)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Portugal
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-1-2014, 2014)
Start date: 2015-02-01
End date: 2015-07-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Ynvisible is a start-up company in Printed Electronics (PE) with the vision of bringing everyday objects and surfaces to life, making them more useful and enjoyable. In order to democratize access to revolutionary new PE technologies developed in Europe and North America, Ynvisible developed its first consumer product, Printoo. Printoo is a flexible, modular, electronics prototyping kit which allows anyone to create new interactive products using thin, flexible, PE components, including Ynvisible’s displays. The project was launched through a Kickstarter crowdfunding campaign, which was hugely successful and received highly positive feedback from educators, tech enthusiasts and entrepreneurs, as well as wide media publicity highlighting the innovative nature and market potential for Printoo. The crowdfunding campaign allowed us to identify three main market segments: education, “maker” community and design & prototyping. Printoo is an essential prototyping platform for entrepreneurs and ‘makers’ looking to develop and prototype new intelligent products where flexibility and form-factor are essential requirements. Educators have demonstrated great interest in Printoo as a tool to develop creativity, design and do-it-yourself technical skills in students at any level of the learning curve. As an educational tool, Printoo can greatly contribute to European-wide initiatives such as the “eSkills for jobs 2014” initiative, in which Ynvisible is already enrolled as a partner. In addition, the commercialization and value chain creation impacts of Printoo will strongly contribute to European goals set out in the ICT 3 programme directed at TOLAE technologies. With this feasibility study, Ynvisible intends to undertake an in-depth analysis and market testing for Printoo, to better define the business models for each of the pre-identified target markets, as well as the global strategy to turn Printoo into a global success.

Keywords: printed electronics,makers,education,interactive,internet of things
Allocation Made PracticaL (AMPLify)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Germany
Call: ERC Advanced Grant (ERC-2014-ADG, 2014)
Start date: 2016-06-01
End date: 2021-05-31
Duration (months): 60.0
Total project cost (EUR): 2499681.0
EU funding (EUR): 2499681.0
Participants: 1
Project status: CLOSED

Allocation Made PracticaL The AMPLify project will lay the foundations of a new field, computational behavioural game theory that brings a computational perspective, computational implementation, and behavioural insights to game theory. These foundations will be laid by tackling a pressing problem facing society today: the efficient and fair allocation of resources and costs. Research in allocation has previously considered simple, abstract models like cake cutting. We propose to develop richer models that capture important new features like asynchronicity which occur in many markets being developed in our highly connected and online world. The mechanisms currently used to allocate resources and costs are limited to these simple, abstract models and also do not take into account how people actually behave in practice. We will therefore design new mechanisms for these richer allocation problems that exploit insights gained from behavioural game theory like loss aversion. We will also tackle the complexity of these rich models and mechanisms with computational tools. Finally, we will use computation to increase both the efficiency and fairness of allocations. As a result, we will be able to do more with fewer resources and greater fairness. Our initial case studies in resource and cost allocation demonstrate that we can improve efficiency greatly, offering one company alone savings of up to 10% (which is worth tens of millions of dollars every year). We predict even greater impact with the more sophisticated mechanisms to be developed during the course of this project.

Keywords: social choice,allocation,behavioural game theory
Contagion Spread Awareness System in Neonatal Intensive Care Units (COSA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Türkiye
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-08-01
End date: 2020-01-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 2
Project status: CLOSED

Video Analitik and Argeist propose an innovative, technological and effective medical-business solution to prevent the spread of infections in Neonatal Intensive Care Units. Intensive care units are among the clinics where nosocomial infections are most common in hospitals. The level of nosocomial infections is considered as the most important metric for the quality of care in Neonatal Intensive Care Units. Unless the necessary measures are taken to keep it below an acceptable limit the consequences are severe. Besides being an important "health problem" in all parts of the world, infection also causes prolongation of hospital stays in the intensive care units and hospitals increasing morbidity, mortality and treatment costs, becoming an equally important "business/economy problem". Leveraging high-tech and low-cost computer vision protocols with complementary hardware & software elements and more importantly the support and guidance of the medical staff (doctors, nurses and infection committee members) of the “Biggest Public Hospital of Turkey” our business proposal is all-the-time supervision and control of hand-washing and hand-disinfection which is considered as the first and most important group of measures against infection spread. There are already a few technologies and business solutions, but they are not providing acceptable prevention. Having identified the market, competition, the customers, partners and the business model Video Analitik and Argeist developed a technology readiness level 6 (TRL6) product that satisfies the needs of the business, offering Infection Prevention in Neonatal Units in Hospitals (IPNUH) to the European Community. “SME Instrument Feasibility Study” in compliance and cooperation with the clinical studies of our medical institute partners will be instrumental to bring the product to higher TRLs.

Keywords: infection prevention,computer vision,deep learning,automation,health compliance,neonatal,intensive care,hand hygiene
5G ENHANCED ROBOT AUTONOMY (5G-ERA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Partnership: 5G PPP (cPPP)
Countries involved: Germany,Spain,Italy,Spain,Cyprus,Greece,Greece,Czechia,United Kingdom,United Kingdom,United Kingdom
Call: 5G PPP – 5G innovations for verticals with third party services (H2020-ICT-2020-2, 2020)
Start date: 2021-01-01
End date: 2024-06-30
Duration (months): 42.0
Total project cost (EUR): 6029677.5
EU funding (EUR): 4725393.0
Participants: 13
Project status: SIGNED

5G-ERA is oriented towards a user-centric paradigm of integrating vertical knowledge into the existing standardised 5G testing framework to improve Quality of Experience (QoE). The project addresses the new challenges on experimental facilities for the vertical developers and designers through the following activities: 1) integrating operational processes of essential autonomous robotic capabilities into Open Source MANO (OSM), ensuring the vertical specific adaptation of existing experimentation facilities, 2) realising an intent-based networking paradigm by aligning the end-to-end (E2E) resource optimisation with the autonomous operations, ensuring effective policy to be designed 3) Cloud native Network Services (NSs) on the experimental facilities will create, ensuring robotic applications exploiting NFV/SDN infrastructures efficiently, 4) extending the experimentation facilities into robotic domains thorough standard APIs under Robot Operating System (ROS), prompting third-parties’ experimentation activities as well as engagement from new players. Robot autonomy is essential for many 5G vertical sectors and can provide multiple benefits in automated mobility, Industry 4.0 and healthcare. 5G technology, on the other hand, has the great potential to enhance the robot autonomy. Use cases from four vertical sectors, namely public protection and disaster relief (PPDR), transport, healthcare and manufacturing will be validated in the project by rapid prototyping of NetApp solutions and enhanced vertical experiences on autonomy. These case studies can be regarded as showcases of the potential of 5G and 5G-ERA to the acceleration of the ongoing convergence of robotics, AI & cloud computing; and to unlock a next level of autonomy through 5G based learning in general.

Keywords: qoe of 5g orchestrators optimization for vertical applications,cloud native cn approach,enhanced robot autonomy,standardised apis,integration of ros with osm