Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Synthesis of new allotropes of carbon: Cyclocarbon catenanes (CycloCarbonCatenane)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-05-10
End date: 2023-05-09
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

The last 35 years have seen many advances in the field of new carbon allotropes, from fullerene chemistry to carbon nanotubes and graphene. Inspired by the huge impact of these new forms of carbon, we aim to create new carbon allotropes through the synthesis of cyclic molecules, cyclocarbons composed of only sp-hybridized carbon atoms, which are stabilized by the encapsulation of several macrocycles to form catenanes. The proposed project combines recent advances in polyyne chemistry (the field of the applicant's PhD) with supramolecular chemistry to create and study novel compounds: cyclocarbon catenanes. This project will include extensive synthetic work to find the most efficient working scheme for the formation of a stable cyclo[40]carbon catenane with suitable macrocycles. Dicobalt complexes will be incorporated into the polyyne precursors to form masked alkyne equivalents (MAEs). Active metal template (AMT) cross-coupling and/or homo-coupling reactions will be applied with MAEs to synthesize polyyne rotaxanes with suitable macrocycles on the polyyne thread. Cyclo-oligomerization using another AMT coupling, under high dilutions, is expected to yield a cyclo-tetramer, which can be unmasked to afford the target C40 catenane. The electronic nature of the target compounds will be studied using a range of techniques, including nuclear magnetic resonance spectroscopy, UV-vis absorption and fluorescence spectroscopy, electrochemistry, as well as time-resolved IR and Raman studies, additionally characterized with X-ray crystallography in the solid-state. These efforts will focus on exploring structure, reactivity, and physical properties of cyclocarbon molecules, to determine experimentally whether they are acetylenic or cumulenic in their ground states and excited states.

Keywords: carbon allotropes,carbon rich compounds,polyyne,cyclocarbon,catenane,rotaxane,active metal template coupling
Yamatology of the Axis. Japan as a Nazi-Fascist Utopia of Political Renewal (YTOPIA)

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,Japan
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-05-01
End date: 2025-04-30
Duration (months): 36.0
Total project cost (EUR): 258498.24
EU funding (EUR): 258498.24
Participants: 2
Project status: SIGNED

After his arrest for mass murder, the Norwegian terrorist Andres Breivik declared “that a Japanese would understand him a lot better than any European would”, because “the Japanese understand the idea and values of honour”. Shortly before committing suicide in the Notre Dame Cathedral in Paris on 21st May 2013, the French new right thinker Dominique Venner wrote a book in which he depicted himself as a ‘samurai’ who fought in defence of European identity. These are just two of the many examples of the role played by a certain image of Japan in far-right imagination of our time. This project investigates the origins and development of the political discourses on Japan – something that can be called ‘yamatology’ instead of japanology – by focusing on the historical moment in which they reached its wider dissemination and became integral parts of far-right ideologies. The aim of this project is, therefore, to analyse comparatively the discursive construction of the image of Japan in Nazi Germany and Fascist Italy. Instead of offering an overview on the European representations of Japan or focusing on a national case study, this project will carry out a detailed analysis of Nazi-Fascist yamatological representations, by considering them as result of a dialogical interaction between European and Japanese actors, as well as a constituent element of the Axis’ cultural policies closely related to many of the ideological features shared by both Fascism and Nazism. The project’s ultimate goal is to highlight the utopian dimension of yamatological representations, in which Japan – just like it did for Breivik or Venner – became the projection surface for far-right values and political aspirations. In doing so, this project allows re-thinking of the nature of fascism, both stressing a substantial similarity between Nazism and Fascism, and revealing the influence of non-European models on ultra-nationalist and Eurocentric world views.

Keywords: fascist studies,german italian relations,german japanese relations,italian japanese relations,imagology,political utopia,japanese studies
Resource Efficient Automatic Conversion of High-Altitude Wind (REACH)

Framework: Horizon 2020 — Societal Challenges
Action type: Innovation actions
Countries involved: Germany,France,Netherlands,Netherlands,Netherlands
Call: Fast Track to Innovation Pilot (H2020-FTIPilot-2015-1, 2015)
Start date: 2015-12-01
End date: 2019-08-31
Duration (months): 45.0
Total project cost (EUR): 3665744.85
EU funding (EUR): 2675132.13
Participants: 6
Project status: CLOSED

The proposed action aims for the commercialisation of an airborne wind energy system. This innovative solution allows supplying remote communities and off-grid areas with reliable and clean electricity in a cost-competitive way. The multinational consortium is coordinated by enevate who acts as system integrator, three industry suppliers for the system components ground station, inflatable wing and kite control unit, and one research organisation that has pioneered the specific technology. The involved parties aim for delivering the first commercial unit in 2017. The first product to enter market will be branded e100, corresponding to its rated electrical power of 100 kW. The proposed action reacts to a persisting market opportunity based on a strong mix of industrial experience and innovation capacity. The go-to-market strategy initially targets the niche of microgrids, while the key objectives address economical, industrial and social challenges and shape the consortium's road map to play a significant role in the EU's energy mix of 2030.

Keywords: mobile renewable energy solution,airborne wind energy,kite power
Innovative interconnected farm management App and software for precision farming (Agroptima FM)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: SME instrument
Countries involved: Spain
Call: Stimulating the innovation potential of SMEs for sustainable and competitive agriculture, forestry, agri-food and bio-based sectors (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-12-01
End date: 2017-03-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Agroptima Farm Manager is a software platform which provides farm management tools to farmers in order for them to be able to keep record of their filed activities and make better decisions based on real cost and productivity data leading to increased efficiency and effectiveness in their business conduct. Data recording, keeping, and analysis are tasks of a relatively high effort when done manually, which is inefficient and results in farmer’s double effort (copying data into spreadsheets). Agroptima Farm Manager allows farmers to collect and record data on a handheld device also offline while in the field and the data collected through the interconnected by sensors equipped with the software agricultural machinery is fed into the server automatically. This allows the users more flexibility and supports the activity of learning from the outputs. The software not only provides overview on current and past farming performance but also provides insights and suggestions, resulting in informed decision making and precision agriculture with an optimised effect on returns and cost cutting (estimated average 12% in cost saving ). Ultimately, with digitised data collection and storage, and automated data gathering from various farm machinery, Agroptima Farm Manager is helping farms to develop productive, sustainable, and resource-efficient approach. Agroptima aims to offer a complete solution for connected farm management through its digital data collection software and connected sensors which collect data from the field. Agroptima’s solution will support farmers making informed decisions and suggest necessary activities and optimised approach to farming to increase efficiency and outputs.

Keywords: precision farming,smart farmin,interconnected farm,agriculture,farm management tools
Quantum approach to modelling high resolution Kelvin Probe Force Microscopy (QMKPFM)

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: Finland
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-01-01
End date: 2022-03-04
Duration (months): 24.0
Total project cost (EUR): 202680.96
EU funding (EUR): 202680.96
Participants: 1
Project status: CLOSED

Kelvin Probe Force Microscopy (KPFM) is one of the newest scanning probe microscopy techniques, that enables us to obtain information about electrostatics and charge transfer on a surface, measured via very sharp tip moving above a sample. However, the theory behind the KPFM measurements and all physical interactions between the tip and sample are not fully understood, especially for very close scans. We plan to use density functional theory calculations to reveal the unknown physics of close KPFM scans. We will prepare multiscale simulation package for the KPFM, which will work on quantum theory level as well as simplified fast mechanistic model level and which will cover a wide range of experimental conditions. This work will enable us to get additional information about the physics going on the scanned sample from the KPFM measurements and to employ KPFM as an additional source of information for structural identification. Finally, it can lead to general theory for chemical resolution in scanning probe microscopy.

Keywords: surface science,scanning probe microscopy spm,density functional theory dft,kelvin probe force microscopy kpfm,spm simulations,surface structure,charge transfer
Nonlinear Data and Signal Analysis with Diffusion Operators (DIFFOP)

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: Israel
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): 1260000.0
EU funding (EUR): 1260000.0
Participants: 1
Project status: SIGNED

Nowadays, extensive collection and storage of massive data sets have become a routine in multiple disciplines and in everyday life. These large amounts of intricate data often make data samples arithmetic and basic comparisons problematic, raising new challenges to traditional data analysis objectives such as filtering and prediction. Furthermore, the availability of such data constantly pushes the boundaries of data analysis to new emerging domains, ranging from neuronal and social network analysis to multimodal sensor fusion. The combination of evolved data and new domains drives a fundamental change in the field of data analysis. Indeed, many classical model-based techniques have become obsolete since their models do not embody the richness of the collected data. Today, one notable avenue of research is the development of nonlinear techniques that transition from data to creating representations, without deriving models in closed-form. The vast majority of such existing data-driven methods operate directly on the data, a hard task by itself when the data are large and elaborated. The goal of this research is to develop a fundamentally new methodology for high dimensional data analysis with diffusion operators, making use of recent transformative results in manifold and geometry learning. More concretely, shifting the focus from processing the data samples themselves and considering instead structured data through the lens of diffusion operators will introduce new powerful “handles” to data, capturing their complexity efficiently. We will study the basic theory behind this nonlinear analysis, develop new operators for this purpose, and devise efficient data-driven algorithms. In addition, we will explore how our approach can be leveraged for devising efficient solutions to a broad range of open real-world data analysis problems, involving intrinsic representations, sensor fusion, time-series analysis, network connectivity inference, and domain adaptation.

Keywords: diffusion geometry,manifold learning,dimensionality reduction,kernel methods
Mixed Haptic Feedback for Mid-Air Interactions in Virtual and Augmented Realities (H-Reality)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Research and Innovation actions
Countries involved: France,France,France,Netherlands,United Kingdom,United Kingdom
Call: FET-Open research and innovation actions (H2020-FETOPEN-1-2016-2017, 2017)
Start date: 2018-10-01
End date: 2022-03-31
Duration (months): 42.0
Total project cost (EUR): 2994965.0
EU funding (EUR): 2994965.0
Participants: 7
Project status: CLOSED

“Touch comes before sight, before speech. It is the first language and the last, and it always tells the truth” (Margaret Atwood), yet digital content today remains focused on visual and auditory stimulation. Even in the realm of VR and AR, sight and sound remain paramount. In contrast, methods for delivering haptic (sense of touch) feedback in commercial media are significantly less advanced than graphical and auditory feedback. Yet without a sense of touch, experiences ultimately feel hollow, virtual realities feel false, and Human-Computer Interfaces become unintuitive. Our vision is to be the first to imbue virtual objects with a physical presence, providing a revolutionary, untethered, virtual-haptic reality: H-Reality. The ambition of H-Reality will be achieved by integrating the commercial pioneers of ultrasonic “non-contact” haptics, state-of-the-art vibrotactile actuators, novel mathematical and tribological modelling of the skin and mechanics of touch, and experts in the psychophysical rendering of sensation. The result will be a sensory experience where digital 3D shapes and textures are made manifest in real space via modulated, focused, ultrasound, ready for the untethered hand to feel, where next-generation wearable haptic rings provide directional vibrotactile stimulation, informing users of an object's dynamics, and where computational renderings of specific materials can be distinguished via their surface properties. The implications of this technology will be far-reaching. The computer touch-screen will be brought into the third dimension so that swipe gestures will be augmented with instinctive rotational gestures, allowing intuitive manipulation of 3D data sets and strolling about the desktop as a virtual landscape of icons, apps and files. H-Reality will transform online interactions; dangerous machinery will be operated virtually from the safety of the home, and surgeons will hone their skills on thin air.

Keywords: haptics,immersive systems,physiology of touching,wearable haptics,ultrasound haptics multimodal interaction,multisensory displays,virtual reality,augmented reality,mixed reality
REal World Advanced Technologies foR Diesel Engines (REWARD)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Innovation actions
Countries involved: Spain,Germany,Italy,Italy,Germany,Austria,Sweden,France,France,France,Czechia,Netherlands,United Kingdom,United Kingdom,Luxembourg
Call: MG-3.1-2014: Technologies for low emission powertrains (H2020-MG-2014_TwoStages, 2014)
Start date: 2015-05-01
End date: 2018-04-30
Duration (months): 36.0
Total project cost (EUR): 12581334.03
EU funding (EUR): 9973900.67
Participants: 18
Project status: CLOSED

The overall objective of the REWARD project is to develop the knowhow, intellectual property rights and technical capabilities to adequately and cost-effectively produce cleaner, highly efficient Diesel powertrains and aftertreatment technologies for future cleaner class A, B, C, D and E passenger cars and light commercial vehicles (LCVs) up to 3,500 kg that “go beyond Euro 6 limits under Real Driving conditions” (EU6 RDE). All technologies: friction and wear reduction measures, exhaust gas treatment concepts, fuel-efficient 2-stroke and 4-stroke Diesel engine concepts will be advanced to TRL 6 or TRL 7 and integrated in three demonstration vehicles. A full calibration and assessment of the vehicles and underlying technologies will take place to proof: real driving emissions below upcoming Euro 6 limits, 25% friction reduction in the entire engine, a significant higher lifetime durability and a more than 5% improved overall fuel efficiency. The impact of the cost effectiveness and high yield producibility of the applications will also be demonstrated. Specific scientific and technical objectives, main innovations and targeted key results are: 1. To develop and demonstrate advanced exhaust gas treatment concepts and low emission technologies up to TRL 7 2. To develop and demonstrate advanced friction and wear reduction measures up to TRL 6/7 3. To develop and demonstrate advanced > 5% more fuel-efficient 0.7 l 2-stroke Diesel engines (TRL6) suited for class A/B passenger cars 4. To develop and demonstrate advanced > 5% more fuel-efficient 4-stroke Diesel engines (TRL7) suited for class B, C D and E passenger cars and LCVs REWARD’s aim is to develop all key technologies up to TRL6 i.e. system/subsystem model or prototype demonstration in a relevant environment and to TRL7, i.e. system prototype demonstration in an operational environment. REWARD will also prepare a plan for a credible path to deliver the innovations to the market.

Keywords: future diesel technologies,2 stroke,4 stroke,exhaust gas treatment,cost effective,diesel powertrains
Understanding hepatic macrophage activation by microbes and microbial components in vivo (MACtivate)

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: Life Sciences
Countries involved: Belgium
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-04-01
End date: 2023-03-31
Duration (months): 24.0
Total project cost (EUR): 166320.0
EU funding (EUR): 166320.0
Participants: 1
Project status: SIGNED

Despite playing essential roles in immunity against microbes, the cellular and molecular mechanisms underpinning macrophage (mac) responses to microbial insults remain incompletely understood. In the liver, Kupffer cells (KCs) the tissue-resident macs, reside in the bloodstream of the liver sinusoids and are thus ideally positioned to recognize and phagocytize microbes and microbe-derived components critically contributing to systemic immune surveillance. In addition, KCs are thought to play central roles in maintaining tolerance for example to gut microbiota and/or their products which reach the liver through the portal vein. Upon inflammation/infection, monocytes are also often recruited to liver which, in addition to KCs, participate in immune defence and tissue repair and can differentiate into recruited macs (rMacs). Due to similar expression profiles and functions it has not been possible to unambiguously discriminate between resident KCs and rMacs in the past hampering our understanding of the processes underlying hepatic mac activation by microbes and microbial components. By combining my expertise in host-microbe interactions with the expertise of the host lab in myeloid cell biology, here, I aim to dissect the mac responses to microbial insult in the liver. To achieve this, I will use KC-specific mouse models and human liver organoids combined with novel single cell technologies, with a focus on mac fate, activation profile and tissue context. My preliminary data demonstrate that systemic microbial insult leads to significant heterogeneity within the hepatic mac pool and hence I hypothesize that individual populations may become differentially activated in order to effectively clear microbes and microbial components from the liver. Understanding the processes underpinning mac activation by microbes/microbial products may allow us to manipulate these responses with the ultimate goal of improving patient outcomes.

Keywords: liver,innate immunity,macrophage,kupffer cell,inflammation,cell activation