Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Greenhouse Gas and Pollutant Emission Reductions using Plasma-Assisted Combustion for a Blue Planet (GREENBLUE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced 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: France,France
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2021-11-01
End date: 2026-10-31
Duration (months): 60.0
Total project cost (EUR): 2497336.0
EU funding (EUR): 2497336.0
Participants: 2
Project status: SIGNED

To fight climate change, we must urgently reduce the CO2 emissions caused by fossil-fuel combustion, which represents today over 80% of the primary energy production. Clean electrified solutions are on the horizon but are unlikely to reach commercial development before 2040. Novel CO2-neutral (biofuels) or CO2-free (H2) combustion technologies are widely considered, but these technologies face increasingly stringent regulations on pollutant emissions, in particular nitric oxides and carbon monoxide. To reduce pollutants, the strategy is to use low-temperature flames. However, these flames are prone to instabilities and extinction, thus causing safety issues. Plasma-assisted combustion (PAC) is a highly promising method to stabilize low-temperature flames thanks to the extraordinary ability of plasma discharges to efficiently produce combustion-enhancing radicals. Today, however, their effects on pollutants are poorly understood and their scalability to industrial combustors remains to be proven. Our goal is to bring PAC to the level of maturity needed to make it practical on real combustion devices. For this, we will first elucidate the thermochemical mechanisms of plasma stabilization in CH4- and H2-air flames and their impact on pollutant emissions. This will require measuring the rates of poorly known reactions involving excited electronic states of molecules with advanced femtosecond optical diagnostics. With this knowledge, we will explore two novel strategies to minimize pollutants. We will then develop a robust and versatile multi-physics model to predict PAC effects in large-scale combustors. The final challenge will be to demonstrate for the first time a stable, low NOx, hydrogen/air flame in a combustor representative of aircraft engines. Beyond combustion, this project will open novel ways to better predict, control, and enhance chemical processes in applications such as hydrogen production, CO2 conversion, bio-decontamination, or materials synthesis.

Keywords: plasma assisted combustion,plasma chemistry,plasmas,combustion,chemical kinetics,optical diagnostics,plasma processing,pollution control,turbulence,fluid mechanics
Social Semantic Emotion Analysis for Innovative Multilingual Big Data Analytics Markets (MixedEmotions)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Content technologies and information management: ICT for digital content, cultural and creative industries
Action type: Innovation actions
Countries involved: Germany,Spain,Germany,Ireland,Italy,Czechia,Czechia
Call: Big data and Open Data Innovation and take-up (H2020-ICT-2014-1, 2014)
Start date: 2015-04-01
End date: 2017-03-31
Duration (months): 24.0
Total project cost (EUR): 3529617.14
EU funding (EUR): 3036910.0
Participants: 10
Project status: CLOSED

MixedEmotions will develop innovative multilingual multi-modal Big Data analytics applications that will analyze a more complete emotional profile of user behavior using data from mixed input channels: multilingual text data sources, A/V signal input (multilingual speech, audio, video), social media (social network, comments), and structured data. Commercial applications (implemented as pilot projects) will be in Social TV, Brand Reputation Management and Call Centre Operations. Making sense of accumulated user interaction from different data sources, modalities and languages is challenging and has not yet been explored in fullness in an industrial context. Commercial solutions exist but do not address the multilingual aspect in a robust and large-scale setting and do not scale up to huge data volumes that need to be processed, or the integration of emotion analysis observations across data sources and/or modalities on a meaningful level. MixedEmotions will implement an integrated Big Linked Data platform for emotion analysis across heterogeneous data sources, different languages and modalities, building on existing state of the art tools, services and approaches that will enable the tracking of emotional aspects of user interaction and feedback on an entity level. The MixedEmotions platform will provide an integrated solution for: large-scale emotion analysis and fusion on heterogeneous, multilingual, text, speech, video and social media data streams, leveraging open access and proprietary data sources, and exploiting social context by leveraging social network graphs; semantic-level emotion information aggregation and integration through robust extraction of social semantic knowledge graphs for emotion analysis along multidimensional clusters.

Keywords: social semantics,multilingual multi modal emotion analysis,knowledge graphs,social tv,brand reputation management,call centre operations
Small RNA regulation of the body plan and epigenome in Arabidopsis embryos (sRNA-EMB)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Cellular, Developmental and Regenerative Biology
Panel description: Structure and function of the cell, cell-cell communication, embryogenesis, tissue differentiation, organogenesis, growth, development, evolution of development, organoids, stem cells, regeneration, therapeutic approaches
Countries involved: Austria
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-07-01
End date: 2020-06-30
Duration (months): 60.0
Total project cost (EUR): 1499988.99
EU funding (EUR): 1499988.99
Participants: 1
Project status: CLOSED

Small RNAs are short non-coding RNAs that regulate gene expression in plants and animals. Although small RNAs are essential for proper differentiation and epigenome regulation, little is known regarding their embryonic functions, especially in plants. Arabidopsis thaliana is a leading system to study the regulatory roles of small RNAs because of the abundance of genetic, genomic and epigenomic resources. Moreover, Arabidopsis embryos undergo invariant division patterns and rapidly differentiate to generate the most basic plant cell-types arranged in correct positions. Early Arabidopsis embryos are therefore morphologically simple structures composed of diverse cell types making them ideal for determining the influence of small RNAs on fundamental cellular differentiation and reprogramming events. The objectives of the proposed research are designed to assess the regulatory roles of small RNAs in establishing both the basic body plan and epigenome in plant embryos. We will utilize modified next-generation sequencing technologies to identify small RNAs present in developing embryos. Because we will generate these RNA profiles from a mixture of cell-types, we will also use a fluorescent protein-based approach to quantify specific miRNA repressive activities in individual cell-types. To determine the functions of individual miRNA/target interactions during embryogenesis, we will identify miRNAs required for embryo development and use genome-wide approaches to study specific miRNA/target interactions in greater detail. Lastly, we will use a fusion of genetic and genomic methods to determine how small RNAs influence the nascent epigenome during early embryogenesis.

Keywords: small rnas,micrornas,developmental biology,transcription factors,plant biology
AI-Enabled Mid-Air Haptic Texture Generation (E-TEXTURES)

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: Poland,France,United Kingdom
Call: FET Innovation Launchpad (H2020-FETOPEN-2018-2019-2020-4, 2020)
Start date: 2021-04-01
End date: 2022-06-30
Duration (months): 15.0
Total project cost (EUR): 131178.57
EU funding (EUR): 100000.0
Participants: 3
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, 2000), yet digital content today remains focused on visual and auditory stimulation. This project focuses on commercializing mid-air haptic texture generation --- a novel technology developed within the H-Reality FET-Open project that would unlock the virtualisation and digitisation of mid-air touch interactions in the immersive and digital signage advertising markets (e.g., touching holograms of different fabrics in a shop) and enable novel business use-cases in new market verticals spanning from media and entertainment to retail and healthcare. Our three project objectives are to (1) understand market opportunities through market research and validation activities, (2) create demo prototypes that address the identified market opportunities and achieve product-market fit, and (3) engage with industry and validate a business model that will kickstart commercial activities. Our consortium comprises of experts in mid-air haptics, market research and technology innovation, and 3D interaction techniques, and is uniquely positioned to achieve these three objectives and leverage our IP assets towards their commercial exploitation while creating new opportunities for market innovation.

Keywords: haptics,textures,holograms,market research,business development
Attosecond Gated Holography (ATTO-GRAM)

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: Israel
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-01-01
End date: 2024-12-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

Strong-field-driven electric currents in condensed-matter systems open new frontiers in manipulating electronic and optical properties on petahertz frequency scales. In this regime, new challenges arise as the role of the band structure and the quantum nature of ultrafast electron-hole dynamics have yet to be resolved. While petahertz spectroscopy and control of condensed-matter systems holds great potential, revealing the underlying attosecond (1 attosecond – 10(-18) second) dynamics of electrons in solids is still in its infancy. The proposed research aims at the development of a state-of-the-art attosecond metrology scheme that integrates the concept of holography with attosecond gating. Attosecond-gated holography will provide direct insight into the instantaneous evolution of the complex quantum wavefunctions in solid-state systems. This scheme will enable us to follow the electron-hole wavepacket evolution during ultrafast band structure deformation, probing a range of fundamental processes – from sub-cycle phase transitions to ultrafast dynamics in correlated systems. In ATTO-GRAM, we will establish attosecond-gated holography and then apply it to study field-induced transient band structures, resolve electron-hole dynamics during lattice deformation and reveal attosecond phenomena in strongly correlated systems. Integrating state-of-the-art experimental schemes, supported by advanced theoretical analysis, will lead to the discoveries of new phenomena previously deemed inaccessible. The impact of the proposed research reaches beyond attosecond metrology – opening new routes in the establishment of compact solid-state extreme ultraviolet sources, petahertz electronics and optically induced metamaterials.

Keywords: attosecond,petahertz,holography
Nanoscale characterisation and decoupling of charge and heat transport across interfaces in novel, molecular thermoelectric materials (NANO-DECTET)

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: United Kingdom
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2022-02-01
End date: 2027-01-31
Duration (months): 60.0
Total project cost (EUR): 2709688.0
EU funding (EUR): 2709688.0
Participants: 1
Project status: SIGNED

Across the global energy economy only about 1/3 of primary energy is converted into useful energy services, the other 2/3 are wasted as heat in the various industrial, transportation, residential energy conversion and electricity generation processes. Given the urgent need for transitioning to a zero-carbon energy supply in order to mitigate dangerous consequences of climate change a waste of energy on this scale is scandalous. Thermoelectric waste-heat-to-electricity conversion could offer a potential solution but the performance of thermoelectric materials is currently insufficient, particularly for the majority of heat that is generated at low heat source temperatures below 300-400°C. Based on a recent scientific breakthrough I have become convinced that the unique characteristics of molecular, organic semiconductors (OSCs) could make them ideal, low-temperature thermoelectric materials, but the thermoelectric physics of this class of soft materials with complex microstructures and strong electron-phonon coupling remains as yet largely unexplored and poorly understood. The aim of this proposal is (a) to develop novel experimental methods for the nanoscale characterisation of the thermoelectric properties of a very promising new generation of molecular thermoelectric materials, (b) to achieve a clear fundamental understanding of their thermoelectric physics and how thermoelectric transport coefficients can be decoupled and enhanced independently in these materials and (c) to translate this into the design of high performance molecular thermoelectric materials with unprecedented performance ZT > 2-3 at temperatures < 300-400°C. This is a fundamental and interdisciplinary, high-risk research programme stretching across theory, condensed matter physics, chemistry and materials science as well device engineering. If successful the project could make a significant contribution to improved energy efficiency and a successful transition to a zero-carbon energy economy.
Robotic Fruit Tree Harvester (ROBOHARVEST)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2020)
Start date: 2020-07-01
End date: 2022-12-31
Duration (months): 30.0
Total project cost (EUR): 3071255.0
EU funding (EUR): 2149878.5
Participants: 1
Project status: SIGNED

Fresh fruit tree growers worldwide are increasingly burdened by the scarcity of human labour, rising labour costs, and overall production costs. This phenomenon is becoming more acute in light of regulatory restrictions, as well as constraints on import and temporary employment from less developed countries. Moreover, human pickers inadvertently bruise some of the fruit picked during the picking process. The result is loss of yield and profit to the fruit grower by up to 30%. The need for automation in agriculture in general and in fresh fruit harvesting in particular has never been greater and we intend to tap into this market with the launch of the FFRobot. We anticipate a market penetration rate of 3% of the TAM, amounting to potential annual revenues of €240M. The FFRobot is a revolutionary multi-arm fruit harvesting robot with specially developed computerized vision, image processing software and dedicated algorithms. The FFRobot can move automatically amongst the orchard rows and pick apples and a variety of different fresh fruit by emulating the human hand movement, all without human touch! In the last submission we received a Seal of Excellence and a score of 13.88! We have since then reached a significant operational milestone. Our main objective for this Phase 2 project is to bridge the gap from TRL 7 to full commercialisation of the FFRobot. To achieve this, activities for this project will centre on: demonstrating the operative functionality of the multi-arm FFRobot (including field trial tests); improving the cost effectiveness of the FFRobot; identifying and signing agreements with commercialisation partners; and devising a viable short and long-term commercialisation and scale-up plan. FFRobotics was founded in 2014 by Avi Kahani (CEO), with the vision of disrupting the fresh fruit harvesting market by automating the fruit picking process from end-to-end. It is AgTech at its best, combining computer vision and robotics.

Keywords: robotic tree fruit harvesting,robotic tree fruit harvester,automated tree harvesting,agricultural services,harvesting aids,robotic harvesting systems,human labourers,human pickers,orchards
Ekowasher Graffiti Blaster - A Closed-loop system for Environmentally Optimized Cleaning and Decontamination (EWGB2000)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Sweden
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-12-01
End date: 2019-05-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The environmental costs of graffiti removal procedures make them far more expensive than the financial estimations may express. An ordinary graffiti removal procedure requires many cubic meters of drinking water. Waste water is spread around contaminating ground water and causing high exposure of humans (especially children) and animals to the hazardous aerosols. Currently water shortages affect at least 11% of Europeans and in 20 years from now, global water demand is likely to exceed water supply by 40%. As a result, prices for drinking water might significantly rise. The cleaning industry companies are searching for efficient tools that would balance the rising environmental requirements with their economic efficiency. Ekowasher Sweden AB offers an unique closed loop system where the residual products are separated and the wash water is purified by a combination of filters and reused. The water consumption of the Graffiti Blaster is almost zero. Through the specially designed washing nozzles, various surfaces of different porosity can be washed. As the washing water is collected and recycled inside the Graffiti Blaster, the risk of contaminating pollutants being spread by the wash water and the wind is minimized. The Graffiti Blaster’s environmental performance surpasses all other market-available solutions. In this project we will conduct a deeper analysis of the technical feasibility and of potential ergonomic improvements of the Graffiti Blaster. We will identify the necessary adjustments required for further expansion of the Graffiti Blaster across other industries and market segments. We will conduct an economic feasibility assessment that will indicate the perspectives of entering foreign markets. Moreover, we will investigate business opportunities that may appear through a wider adaptation of our innovation by exploring other segments of the cleaning, decontamination and removal industry.

Keywords: water purification,minimal water usage,environmental optimised,closed loop,cleaning,contamination of ground water,graffiti removal
Big Data for OPen innovation Energy Marketplace (BD4OPEM)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Spain,Spain,Italy,Belgium,Türkiye,Greece,Slovenia,Slovenia,Sweden,France,Denmark
Call: Big data solutions for energy (H2020-DT-2019-1, 2019)
Start date: 2020-01-01
End date: 2023-11-30
Duration (months): 47.0
Total project cost (EUR): 9865590.0
EU funding (EUR): 8024073.0
Participants: 19
Project status: SIGNED

Energy power systems face big challenges to cope with grid integration demands of an ever-increasing number of distributed generation and consumption devices in an interconnected world. Technology offers a huge range of opportunities to develop solutions in the uncertain current and upcoming Energy market situation. This proposal considers Open Innovation as a natural solution to create a seamless link and balance between energy stakeholders needs and the solutions to be developed. Nowadays, old metering, operation and control devices are combined with smart systems with a huge amount of data being available yet unused or underused. This data offers a wide range of possibilities to improve existing energy services and creating new ones, all available in an Open Innovation Marketplace, and processed through an Analytic Toolbox. BD4OPEM will develop this Analytic Toolbox, based on Big data techniques, providing tools for enabling efficient business processes in the energy sector. By extracting more value from available data, a range of innovative services will be created in the fields of grid monitoring, operation and maintenance, network planning, fraud detection, smart houses/buildings/industries energy management, blockchain transactions and flexibility aggregation for demand-response. The Open Innovation Marketplace will ensure secure data flows from data providers to solution providers, always compliant with GDPR requirements, so that asset management is enhanced, consumer participation in energy balancing is promoted and new data-driven business models are created through innovative energy services. The project will demonstrate the above features in four large scale pilots with diverse distributed energy sources (e.g. PV, wind, hydro, EV, storage…), while promoting the competitiveness and synergies of Sustainable innovations and IT Ecosystems in Europe.

Keywords: analytic toolbox,services,technologies,large scale pilots,sgam