Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Supplying Accurate Nuclear Data for energy and non-energy Applications (SANDA)

Framework: Horizon 2020 — Euratom
Programme: Nuclear fission and radiation protection
Theme: Nuclear safety
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Germany,Spain,Spain,Spain,Spain,Germany,Germany,Italy,Bulgaria,Finland,Greece,Greece,Hungary,Poland,Romania,Sweden,Switzerland,Switzerland,Belgium,Romania,Slovenia,France,France,France,France,France,France,France,Czechia,Netherlands,United Kingdom,United Kingdom,Portugal
Call: Improved nuclear data for energy and non-energy modelling applications. (NFRP-2018, 2018)
Start date: 2019-09-01
End date: 2024-08-31
Duration (months): 60.0
Total project cost (EUR): 4666600.0
EU funding (EUR): 3499948.0
Participants: 40
Project status: SIGNED

Supplying Accurate Nuclear Data for energy and non-energy Applications. The project will include experimental measurements of new or improved quality data, evaluation, validation and dissemination of the data to produce libraries that can be used by safety authorities, research institutions, the nuclear energy industry, health organizations, other non-energy applications and the EU society at large. The project will also include in smaller fraction support to detector development, facility setups and samples fabrication to prepare important measurements and validations that are not possible in the time framework of the present proposal but that will be required in near future for the safe and efficient use of nuclear technologies. The selection of topics, isotopes, reactions, measurements, experiments and evaluation has been made taking into account the relevance, expected impact and priorities of the resulting data according to the NEA/OECD and IAEA high priority lists and committees as well as the experience of the participants and of previous EU proposals with large participation of the partners for the present proposal (CHANDA, ANDES,…). The impact has been evaluated from the perspective of a safe, efficient and competitive use of nuclear technologies. In comparison with previous projects, the present proposal proposes to concentrate more efforts on delivering actual results than in the preparation for the future, by enhancing the support to evaluations, validations and actual measurements. Also special attention has been paid to make sure that the topics included cover the non-energy application requiring nuclear data as well as it will cover the needs of the nuclear energy sector. Respecting those principles, the proposal has also tried to be as inclusive to the different EU research groups and countries as possible maintaining the manageability of the project, its efficiency and the maximum quality and relevance of the action and involved partners.

Keywords: nuclear data,experiments evaluation uncertainties cross section and nuclear structure libraries for safety,simulation,performance,medical and other applications
Deep AR Law Enforcement Ecosystem (DARLENE)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Fight crime, illegal trafficking and terrorism, including understanding and tackling terrorist ideas and beliefs
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Spain,Spain,Ireland,Italy,Cyprus,Belgium,Greece,Lithuania,Greece,Greece,France,Portugal,United Kingdom
Call: Technologies to enhance the fight against crime and terrorism (H2020-SU-SEC-2019, 2019)
Start date: 2020-09-01
End date: 2023-12-31
Duration (months): 40.0
Total project cost (EUR): 6954860.0
EU funding (EUR): 6954860.0
Participants: 17
Project status: SIGNED

DARLENE aims to investigate means by which AR can be deployed in real time to aid in LEA decision-making by employing AR capabilities and combining them with powerful ML algorithms, sensor information fusion techniques, 3D reconstruction, wearable technology and personalized context-aware recommendations. Hence DARLENE will offer European LEAs a proactive security solution which will provide an IoT level of Situational Awareness, detection and recognition, combining cutting edge technology and public security in all security verticals. It will enable LEAs to reduce and prevent crime, and to more quickly respond to crimes already in progress, by enabling them to sort through massive volumes of data to predict, anticipate and prevent criminal activities, make better informed tactical decisions and provide enhanced protection services for European citizens. DARLENE will therefore develop practical and beneficial policing applications through the use of affordable, light-weight and inconspicuous AR glasses. Such applications will capitalize on cutting edge research that will combine with AR Technology to create innovative methods for combating crime and even terrorist acts. To align technology development with actual security needs and requirements, DARLENE will build a community of LEAs organization and security stakeholders that will guide the development process and evaluate the entire DARLENE ecosystem. In this regard, DARLENE foresees extensive demonstration and training activities for LEAs while the entire solution will be demonstrated and validated in realistic scenarios during the pilot phase of the project, thus paving the way to its field deployment and commercial uptake.

Keywords: augmented reality glasses,5g network,situational awareness,deep learning,computer vision
Multimodal nanoparticles for structural and functional tracking of stem cell therapy on muscle regeneration (nTRACK)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: Research and Innovation actions
Countries involved: Germany,Israel,Spain,Germany,Spain,Greece,Netherlands,United Kingdom
Call: Nanotechnologies for imaging cellular transplants and regenerative processes in vivo (H2020-NMBP-2017-two-stage, 2017)
Start date: 2017-10-01
End date: 2022-03-31
Duration (months): 54.0
Total project cost (EUR): 6907615.0
EU funding (EUR): 6863864.5
Participants: 13
Project status: CLOSED

Cell therapy offers promising opportunities to approach several diseases for which no effective therapies are currently available. However, the prognosis of the treatment efficacy commonly only relies on the progression of the disease symptoms. There is a need of tools to evaluate and predict the safety and success of cell-based treatments in earlier stages. The current lack of methods providing real-time tracking of transplanted cells and knowledge on their early biodistribution and viability, is one of the major weakness of the available cell-based treatments. The main goal of nTRACK is to develop a safe and highly sensitive multimodal nanoimaging agent enabling noninvasive, quantitative and longitudinal stem cell tracking and whole body biodistribution. nTRACK will also provide information on cell (long-term) viability using the combination of CT, MRI and PET, which are imaging modalities that are clinically available. The synthesis of nTRACK NPs and cellular labeling processes will be scaled up and will follow good manufacturing practice (GMP) requirements. A second goal is to establish a predictive model for early assessment of treatment effectiveness, based on short-term evaluation of the typical migration and biodistribution patterns of the stem cells. This predictive model could substantially improve overall management of the disease and will transform cell therapy treatment from “one size fits all’ concept towards personalised treatment. The nTRACK technology will be demonstrated on a muscular injury sheep model, using imaging infrastructure commonly used in hospital settings. In addition, non-clinical safety studies on the nTRACK nanoparticles will be conducted following the conclusions of a series of formal interactions with regulatory authorities, to allow the prompt introduction into clinical trials after the end of the project.

Keywords: musculoskeletal pathologies,core shell nanoparticles,nanosafety
QUalifying and Implementing a user-centric designed and EfficienT electric vehicle (QUIET)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Partnership: EGVI (cPPP)
Countries involved: Austria,Austria,Germany,Germany,Germany,Austria,Germany,Germany,Austria,Croatia,Belgium,Hungary,United Kingdom
Call: Electric vehicle user-centric design for optimised energy efficiency (H2020-GV-2017, 2017)
Start date: 2017-10-01
End date: 2021-03-31
Duration (months): 42.0
Total project cost (EUR): 6998955.0
EU funding (EUR): 6998955.0
Participants: 17
Project status: CLOSED

QUIET aims at developing an improved and energy efficient electric vehicle with increased driving range under real-world driving conditions. This is achieved by exploiting the synergies of a technology portfolio in the areas of: user-centric design with enhanced passenger comfort and safety, lightweight materials with enhanced thermal insulation properties, and optimised vehicle energy management. The developed technologies will be integrated and qualified in a Honda B-segment electric vehicle validator. Among these, a novel refrigerant for cooling, combined with an energy-saving heat pump operation for heating, advanced thermal storages based on phase change materials, powerfilms for infrared radiative heating, and materials for enhanced thermal insulation of the cabin will be investigated. Further focus is put on lightweight glasses and composites for windows and chassis, as well as light metal aluminium or magnesium seat components. Optimized energy management strategies, such as pre-conditioning and zonal cooling/heating the passenger cabin as well as user-centric designed cooling/heating modules will further enhance the thermal performance of the vehicle. These strategies will be seamlessly implemented in an intelligent vehicle control unit enhanced by a novel Human Machine Interface, which, beyond being intuitive and user friendly, will also consider diverse users’ needs, accounting for gender and ageing society aspects. The objective of QUIET is to reduce the energy needed for cooling and heating the cabin of an electric vehicle under different driving conditions, by at least 30 % compared to the Honda baseline 2017. Additionally, a weight reduction of about 20 % of vehicle components (e.g. doors, windshields, seats, heating and air conditioning) is also addressed. These efforts will finally lead to a minimum of 25 % driving range increase under both hot (+40 °C) and cold (-10 °C) weather conditions.

Keywords: electric vehicle,energy and thermal management,operational strategy,heating,ventilation and air conditioning,thermal insulation,lightweight components,human machine interfaces,driving range
Biophysical characterisation of a protein-activating protein-protein interaction (Protprot)

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: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-08-01
End date: 2017-07-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Protein post-translational modification is an essential feature of living systems; one of the most common post-translational modifications is phosphorylation. Phosphorylation of proteins is central both to direct regulation of activity and to protein-protein interactions. Within this project we will use the study of a model regulatory protein-protein interaction, dependent upon phosphorylation to provide a training platform in biophysical and structural approaches to protein-protein interactions. The particular protein-protein interaction is the phosphohistidine/phosphothreonine-dependent interaction of the plant and bacterial enzyme, PPDK, with its regulatory protein PDRP. This regulatory protein appears to be central to the efficiency of photosynthesis in those plants using the C4 pathway of CO2 fixation as well as to the regulation of bacterial growth yet little is known about the molecular details of its action. Protein-protein interactions such as the PPDK-PDRP are ubiquitous in biological systems, it is the combination of thousands of such pair-wise interactions that lead to the collective properties of all cells. The ability to characterise each individual interaction thoroughly in vitro is essential for the continued development of both our understanding of the cell and how to manipulate this behaviour in therapeutics. Through this fellowship, the experienced researcher, Dr Witkowska, will gain essential hands-on experience with the application of the full range of contemporary approaches to such interactions which will enable her to establish herself as an independent researcher in the area upon her return to her home country while maintaining research links with the host laboratory.

Keywords: protein protein interactions,protein phosphorylation,amino acid analogues
European Training Network for Zero-waste Valorisation of Bauxite Residue (Red Mud) (REDMUD)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Germany,Estonia,Finland,Greece,Greece,Sweden,Greece,Sweden,Hungary,Belgium,Portugal
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN) (H2020-MSCA-ITN-2014, 2014)
Start date: 2014-12-01
End date: 2019-10-31
Duration (months): 59.0
Total project cost (EUR): 3720893.4
EU funding (EUR): 3720893.4
Participants: 14
Project status: CLOSED

To tackle its (critical) raw material dependency, Europe needs comprehensive strategies based on sustainable primary mining, substitution and recycling. Freshly produced flows and stocks of landfilled industrial residues such as mine tailings, non-ferrous slag and bauxite residue (BR) can provide major amounts of critical metals and, concurrently, minerals for low-carbon building materials. The European Training Network for Zero-Waste Valorisation of Bauxite Residue (REDMUD) therefore targets the vast streams of new and stockpiled BR in the EU-28. BR contains several critical metals, is associated with a substantial management cost, whereas spills have led to major environmental incidents, including the Ajka disaster in Hungary. To date, zero-waste valorisation of BR is not occurring yet. The creation of a zero-waste BR valorisation industry in Europe urgently requires skilled scientists and engineers, who can tackle the barriers to develop fully closed-loop environmentally-friendly recovery flow sheets. REDMUD trains 15 researchers in the S/T of bauxite residue valorisation, with emphasis on the recovery of Fe, Al, Ti and rare earths (incl. Sc) while valorising the residuals into building materials. An intersectoral and interdisciplinary collaboration of EU-leading institutes and scientists has been established, which covers the full value chain, from BR to recovered metals and new building materials. Research challenges include the development of efficient extraction of Fe, Al, Ti and rare earths (incl. Sc) from distinct (NORM classified) BRs and the preparation of new building materials with higher than usual Fe content. By training the researchers in pyro-, hydro- and ionometallurgy, electrolysis, rare-earth extraction and separation technology, inorganic polymer and cement chemistry, Life Cycle Assessment (LCA), NORM aspects and characterisation, they become the much needed scientists and engineers for the growing European critical raw materials industry.

Keywords: bauxite residue,red mud,rare earths,critical raw materials,industrial waste residues,aluminium
Theoretical insides in endohedral metallofullerene based Self-Assembled Monolayers: Statics and Dynamics. (SamSD)

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: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-11-01
End date: 2019-10-31
Duration (months): 24.0
Total project cost (EUR): 171460.8
EU funding (EUR): 171460.8
Participants: 1
Project status: CLOSED

Modeling of formation and properties self-assembled monolayer (SAM) is a very challenging task, especially if highly functional-ligands are concerned. It is true, for instance, in the case of endohedral metallofullerene (EMF) based SAM - a promising single molecular magnet (SMM) grids in-making. Properties of such SMM grids would be a function of SAM architecture (attachment types and crowding effects) and inner-cluster dynamics under these geometrical constrains. Electronic structure complexity of EMFs and structural mobility of ligands in SAMs brings a dual issue. On the one hand, a minimal level of theory to address the magnetic properties of the systems would require “complete active space”-quality methods, yet the whole size (~10E3 atoms) of the system makes these computations hardly feasible and is limited so far to single molecules. On the other hand, while the system dynamic can be approached by less computationally demanding semiclassical or even classical approaches, such methods are unable to give a reliable magneto-physics of the SMM unit. This project will offer a solution to this problem by extensive development of the multiscale methods (MSM), in which the whole system is divided into the regions described with different levels of theory accordingly to its complexity. Developed protocols and schemes would be universals across SAM field and highly profitable for the SMM industry on a whole.

Keywords: multiscale simulation methods,self assembled monolayers,endohedral metallofullerenes,single molecular magnet
Nondestructive Evaluation (NDE) System for the Inspection of Operation-Induced Material Degradation in Nuclear Power Plants (NOMAD)

Framework: Horizon 2020 — Euratom
Programme: Nuclear fission and radiation protection
Theme: Nuclear safety
Action type: Research and Innovation actions
Countries involved: Spain,Germany,Germany,Switzerland,Switzerland,Belgium,Finland,Hungary,Hungary,United Kingdom
Call: Continually improving safety and reliability of Generation II and III reactors (NFRP-2016-2017-1, 2016)
Start date: 2017-06-01
End date: 2022-02-28
Duration (months): 57.0
Total project cost (EUR): 4881168.75
EU funding (EUR): 4881168.75
Participants: 10
Project status: CLOSED

The long-term operation (LTO) of existing nuclear power plants (NPPs) has already been accepted in many countries as a strategic objective to ensure adequate supply of electricity over the coming decades. In order to estimate the remaining useful lifetime of NPP components, LTO requires reliable tools. The objective of NOMAD is the development, demonstration and validation of a non-destructive evaluation (NDE) tool for the local and volumetric characterisation of the embrittlement in operational reactor pressure vessels (RPVs). In order to address these objectives, the following steps will be taken: • Development and demonstration of an NDE tool for the characterisation of RPV embrittlement, especially accounting for material heterogeneities and exceeding the existing information from surveillance programmes. • Extension of the existing database of RPV material degradation by adding correlations of mechanical, microstructural and NDE parameters as well as including quantification of reliability and uncertainty. • Application of the developed tool to cladded material resembling the actual RPV inspection scenario. NOMAD takes into account the priorities of reactor operation, responding to stringent safety requirements from regulators, and seeks to foster convergence of nuclear safety approaches. The approach to be developed within NOMAD will deliver information complementary to and exceeding the information obtained by destructive tests of surveillance samples, which are currently assumed to represent the whole component and do not take into account possible local material variations. NOMAD aims to fulfil requirements for nuclear safety in the framework of assessment of lifetime operation. Thereby, it covers the specific challenge and scope of the call: Continually improving safety and reliability of Generation II and III reactors.

Keywords: safe long term operation,ageing reactors,neutron irradiation induced embrittlement,nondestructive evaluation tool,database,surveillance programs
Faster magic-angle spinning leads to a resolution revolution in biological solid-state NMR (FASTER)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Switzerland
Call: ERC Advanced Grant (ERC-2016-ADG, 2016)
Start date: 2017-10-01
End date: 2023-01-31
Duration (months): 64.0
Total project cost (EUR): 2173375.0
EU funding (EUR): 2173375.0
Participants: 1
Project status: CLOSED

Solid-state NMR has recently made a significant impact on structural biology by providing atomic-resolution structures of several, previously uncharacterized proteins. A particularly relevant example is the Amyloid-beta (Aβ) peptide linked to Alzheimer’s disease where we determined the atomic-resolution structure of Aβ(1-42) and of the Osaka mutant of Aβ(1-40). A spectral resolution revolution is now in reach that will enable solid-state NMR to address new frontiers in structural biology. The applications mentioned above are based on 13C-detected spectroscopy. Proton-detected experiments, although clearly more sensitive thanks to the high gyromagnetic ratio of 1H, have found few applications so far, due to the poor resolution of 1H spectra caused by the 1H-1H dipolar interaction. The proton resolution can be enhanced by employing faster rotation of the sample, i.e. higher MAS (magic-angle spinning) frequencies. Presently accessible MAS frequencies are already faster than the ones of any other man-made object. A significant improvement is still attainable in our view. Increasing the MAS frequency to 200-250 kHz will improve the spectral quality to favorably compare with solution NMR for larger proteins, including fully protonated systems. In addition, the amount of sample required is reduced by almost two orders of magnitude, to approx. 100 μg, compared to the about 10 mg needed in 13C-detected experiments. This removes an important bottleneck in sample-preparation. The resolution and sensitivity gain will allow the structural characterization of e.g. disease-relevant amyloids or membrane proteins with higher precision. Moreover, this approach will enable the investigation of complex systems, which presently elude structural characterization. The resolution revolution brought about by fast spinning shall thus represent a breakthrough since it will open new horizons for solving urgent biological and medical questions.

Keywords: solid state nuclear magnetic resonance spectroscopy