Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
inVestigation of distributEd propulsion Noise and its mitigation through wind tUnnel experiments and numerical Simulations (VENUS)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Research and Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Italy,Italy,Germany,Italy
Call: Experimental and numerical noise assessment of distributed propulsion configurations (H2020-CS2-CFP10-2019-01, 2019)
Start date: 2020-04-01
End date: 2023-09-30
Duration (months): 42.0
Total project cost (EUR): 2282875.0
EU funding (EUR): 2282875.0
Participants: 5
Project status: SIGNED

Distributed Electric Propulsion (DEP), is one of the propulsion configurations that, taking advantage from the Distributed Propulsion concept, is believed to exploit the benefits of electrical engines to drastically reduce fuel consumption and emissions. In the framework of the topic JTI-CS2-2018-CFP10-THT-08, the proposal VENUS will have the objective to understand the physics behind the aeroacoustics of DEP through a deep theoretical, experimental and numerical study. Appropriate numerical procedures for DEP noise assessment will be set-up and experimental data-set obtained in dedicated wind tunnel tests, will be used both as experimental DEP noise validation reference and for providing support to the identification of the main parameters affecting DEP noise. Technologies for DEP noise reduction will be studied as well and tested experimentally. From the technical standpoint, the VENUS consortium will support the model design, manufacturing and integration by realizing a representative test article for WT parametric aeroacoustic tests, able to allow for configuration changes, in terms of engine-wing and engine-engine installation configurations, and to test the selected noise mitigation technologies. The consortium will develop methods and tools enabling a concurrent aerodynamic and aeroacoustic design of DEP configuration aircraft. The final step will consist in the experimental-numerical assessment of the numerical models. As a practical achievement, the study will support the design of a new regional aircraft configuration, in terms of wing and engines’ installation, to target a DEP which is optimized in terms of aerodynamic and aeroacoustic performance. It is pointed out that all the produced models, data and documents will be open access for other institutions, with the objective to establish an “open test-case” for the whole European scientific community, unique in the aircraft design landscape.

Keywords: distributed electric propulsion,aeroacoustic and aerodynamic optimization,wind tunnel tests,low noise technologies
Development of Quantitative Metrologies to Guide Lithium Ion Battery Manufacturing (BATMAN)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: Switzerland
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-05-01
End date: 2021-10-31
Duration (months): 66.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: CLOSED

Lithium ion batteries offer tremendous potential as an enabling technology for sustainable transportation and development. However, their widespread usage as the energy storage solution for electric mobility and grid-level integration of renewables is impeded by the fact that current state-of-the-art lithium ion batteries have energy densities that are too small, charge- and discharge rates that are too low, and costs that are too high. Highly publicized instances of catastrophic failure of lithium ion batteries raise questions of safety. Understanding the limitations to battery performance and origins of the degradation and failure is highly complex due to the difficulties in studying interrelated processes that take place at different length and time scales in a corrosive environment. In the project, we will (1) develop and implement quantitative methods to study the complex interrelations between structure and electrochemistry occurring at the nano-, micron-, and milli-scales in lithium ion battery active materials and electrodes, (2) conduct systematic experimental studies with our new techniques to understand the origins of performance limitations and to develop design guidelines for achieving high performance and safe batteries, and (3) investigate economically viable engineering solutions based on these guidelines to achieve high performance and safe lithium ion batteries.

Keywords: electrochemistry,lithium ion batteries
History of Nuclear Energy and Society (HoNESt)

Framework: Horizon 2020 — Euratom
Programme: Nuclear fission and radiation protection
Theme: Support the development of nuclear competences at Union level and socio-economic aspects
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Spain,Germany,Germany,Spain,Belgium,Bulgaria,Finland,Greece,Lithuania,Sweden,Russian Federation,France,Netherlands,United States,Denmark,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,Portugal
Call: Nuclear developments and interaction with society (NFRP-2014-2015, 2014)
Start date: 2015-09-01
End date: 2019-02-28
Duration (months): 42.0
Total project cost (EUR): 3052269.0
EU funding (EUR): 3052269.0
Participants: 26
Project status: CLOSED

HoNESt (History of Nuclear Energy and Society) involves an interdisciplinary team with many experienced researchers and 24 high profile research institutions. HoNESt’s goal is to conduct a three-year interdisciplinary analysis of the experience of nuclear developments and its relationship to contemporary society with the aim of improving the understanding of the dynamics over the last 60 years. HoNESt’s results will assist the current debate on future energy sources and the transition to affordable, secure, and clean energy production. Civil society's interaction with nuclear developments changes over time, and it is locally, nationally and transnationally specific. HoNESt will embrace the complexity of political, technological and economic challenges; safety; risk perception and communication, public engagement, media framing, social movements, etc. Research on these interactions has thus far been mostly fragmented. We will develop a pioneering integrated interdisciplinary approach, which is conceptually informed by Large Technological Systems (LTS) and Integrated Socio-technical System (IST), based on a close and innovative collaboration of historians and social scientists in this field. HoNESt will first collect extensive historical data from over 20 countries. These data will be jointly analyzed by historians and social scientists, through the lens of an innovative integrated approach, in order to improve our understanding of the mechanisms underlying decision making and associated citizen engagement with nuclear power. Through an innovative application of backcasting techniques, HoNESt will bring novel content to the debate on nuclear sustainable engagement futures. Looking backwards to the present, HoNESt will strategize and plan how these suitable engagement futures could be achieved. HoNESt will engage key stakeholders from industry, policy makers and civil society in a structured dialogue to insert the results into the public debate on nuclear energy.

Keywords: engagement,energy policy,public perception,risk,technology development,modernity,civil society
Transcription Factor-mediated Neuronal Cell Fate Programming in Human Stem Cells (ProNeurons)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Biotechnology and Biosystems Engineering
Panel description: Biotechnology using all organisms, biotechnology for environment and food applications, applied plant and animal sciences, bioengineering and synthetic biology, biomass and biofuels, biohazards
Countries involved: Germany,Germany
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-03-01
End date: 2021-02-28
Duration (months): 60.0
Total project cost (EUR): 1495000.0
EU funding (EUR): 1482500.0
Participants: 2
Project status: CLOSED

The discovery of pluripotent stem cells has expanded the working modes in biology towards the reverse engineering of specific cell types. Unlike studying developmental phenomena in vivo, we are now theoretically able to mimic some of these processes in a dish. The use of human induced pluripotent stem (iPS) cells facilitates studying the genesis of human cell types in an ethically approved setting. However, exploiting the full potency of stem cells is only possible with very few differentiated cell types. In particular, the generation of neurons is in its infancy: of the many neuronal types present in the brain, only a few types have been generated in vitro. So far, neuronal differentiation protocols are multifaceted and tailored to individual cell types. The molecular events that occur during reprogramming remain enigmatic. Hence, we cannot confer these protocols easily on producing different neurons of interest. Therefore, we plan to induce transcription factors as differentiation control buttons in human iPS cells in order to explore in vitro neurogenesis systematically. First, we will apply a human transcription factor library to conditional fluorescent iPS reporter lines, facilitating high-throughput isolation and analysis of induced neurons. Second, the underlying gene regulatory networks will be revealed using RNA-sequencing over the entire differentiation period to identify the biological rules of in vitro neuronal differentiation. We will combine these in-depth transcriptomic analyses with morphological, anatomical, and functional characterizations. Finally, based on our discoveries, we will engineer human photoreceptors that can be applied to cell transplantation experiments in retinal degeneration diseases. Conceptually, our approach paves the way for targeted “forward” programming of human iPS cells to neurons.

Keywords: cellular engineering,programming ips cells to neurons,gene regulatory networks of neurogenesis from human induced pluripotent stem cells
Computation-in-memory architecture based on resistive devices (MNEMOSENE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Germany,Switzerland,France,Netherlands,Netherlands,United Kingdom,Luxembourg
Call: Micro- and nanoelectronics technologies (H2020-ICT-2017-1, 2017)
Start date: 2018-01-01
End date: 2021-06-30
Duration (months): 42.0
Total project cost (EUR): 3998120.0
EU funding (EUR): 3998120.0
Participants: 9
Project status: CLOSED

The MNEMOSENE project aims at demonstrating a new computation-in-memory (CIM) based on resistive devices together with its required programming flow and interface. To develop the new architecture, the following scientific and technical objectives will be targeted: • Objective 1: Develop new algorithmic solutions for targeted applications for CIM architecture. • Objective 2: Develop and design new mapping methods integrated in a framework for efficient compilation of the new algorithms into CIM macro-level operations; each of these is mapped to a group of CIM tiles. • Objective 3: Develop a macro-architecture based on the integration of group of CIM tiles, including the overall scheduling of the macro-level operation, data accesses, inter-tile communication, the partitioning of the crossbar, etc. • Objective 4: Develop and demonstrate the micro-architecture level of CIM tiles and their models, including primitive logic and arithmetic operators, the mapping of such operators on the crossbar, different circuit choices and the associated design trade-offs, etc. • Objective 5: Design a simulator (based on calibrated models of memristor devices & building blocks) and FPGA emulator for the new architecture (CIM device combined with conventional CPU) in order demonstrate its superiority. Demonstrate the concept of CIM by performing measurements on fabricated crossbar mounted on a PCB board. A demonstrator will be produced and tested to show that the storage and processing can be integrated in the same physical location to improve energy efficiency and also to show that the proposed accelerator is able to achieve the following measurable targets (as compared with a general purpose multi-core platform) for the considered applications: • Improve the energy-delay product by factor of 100X to 1000X • Improve the computational efficiency (#operations / total-energy) by factor of 10X to 100X • Improve the performance density (# operations per area) by factor of 10X to 100X

Keywords: computation in memory cim,memristor devices,non volatile memory,phase change memory,resistive random access memory,storage class memory
PhD Training Network on Durable, Reliable and Sustainable Structures with Alkali-Activated Materials (DuRSAAM)

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: Information Science and Engineering
Countries involved: Germany,Switzerland,Greece,Croatia,Switzerland,Belgium,Belgium,Belgium,Bulgaria,Colombia,Bosnia and Herzegovina,Belgium,France,Netherlands,Netherlands,Netherlands,United Kingdom,Denmark
Call: Innovative Training Networks (H2020-MSCA-ITN-2018, 2018)
Start date: 2018-11-01
End date: 2023-02-28
Duration (months): 52.0
Total project cost (EUR): 3397847.76
EU funding (EUR): 3397847.76
Participants: 22
Project status: SIGNED

DuRSAAM is a collaborative PhD framework creating a critical mass of experts skilled in innovative alkali-activated material (AAM) concrete, as a key enabling technology for a sustainable and resilient built environment. AAM technology presents a new generation of materials, ideally conceived to respond to the need for more efficient, durable, eco-friendly and reliable construction, and utilizing by-product resources as raw materials. Modern concrete will be produced with low carbon footprint (CO2 emissions reduced by 80%), lower energy consumption and reduced use of primary resources (>1.5 t raw materials are quarried per t Portland cement clinker; this will be reduced by >60%), and with an addressable market for AAM binders of 5 B€/yr. DuRSAAM answers unmet industry demands, to facilitate emerging AAM technology for continued market entry and to unlock its potential in society. The consortium brings together 7 academic and 15 non-academic partners, to excel in the scientific development and exploitation of AAM concrete, advancing design, modelling and practice beyond the state-of-the-art. It holds a unique focus on: (1) today’s concerns of users and engineers that the durability and sustainability of AAM concrete is yet insufficiently quantified; and (2) provision of an AAM technology for rehabilitation of structures to meet the growing demand for renovation, to be developed in parallel with AAM for new concrete structures. The network will deliver world-leading training in this multidisciplinary field through 13 PhDs in interrelated aspects of AAM concrete, fibre reinforced high-performance concrete, and textile-reinforced mortar, as well as sustainability assessment. The outcomes will be instrumental in delivering a sustainable future in Europe’s construction industry, which is increasingly driven by the growing demand for durable yet cost-effective solutions, driving a greater focus on reliable and comprehensive eco-efficient material technologies such as AAM.

Keywords: alkali activated binder,concrete,by products,sustainable concrete construction,service life,multi scale modelling,carbon footprint,raw materials,durability
Advanced techniques in isotopic biogeochemistry for the estimation of fossil mammal trophic position (IsoTroph)

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: Environment and Geosciences
Countries involved: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-09-01
End date: 2024-08-31
Duration (months): 24.0
Total project cost (EUR): 174806.4
EU funding (EUR): 174806.4
Participants: 1
Project status: SIGNED

The principal objective of the IsoTroph project is to improve the geochemical method used in paleontology of terrestrial mammals, through the application of stable isotopes of single amino acids in paleoecology. In particular, the project focuses on a single amino acid (glutamate and phenylalanine) δ15N trophic discrimination factor (TDF). It is a quantitative parameter used in reconstructions of past animal or human trophic positions (a primary consumer – a herbivore; a secondary consumer – a carnivore feeding on herbivores; etc.), crucial for understanding the evolution of environments. The TDF has never been established before for terrestrial mammals, although it is a key parameter in modelling the past ecology. The main research method of IsoTroph is the analysis of δ15N in bone collagen of a population of a predator and that of its prey, and then calculating the TDF between these populations. To achieve this, the project will involve a study of modern populations (collections of recent bones of wolf, lynx, red fox, and their prey, from Białowieża Forest and fox den), as well as a collection of fossils from a Pleistocene carnivore den (cave hyena and its prey). These collections will provide insight into four species of mammalian carnivores, representing variable ecology (both hypercarnivores and omnivores), and different chronology (recent and Pleistocene). The project offers a great chance for professional training in a new method with a vast potential to be used in paleoecology – the stable isotope composition of single amino acids. This training is to be performed through research, which will bring the high quality results of the greatest interest for a wide audience of scientists currently involved in paleoecological studies of animals and humans. The project will deliver answers on the direct collagen-to-collagen TDF, which was never determined before, and which will be broadly applied in future isotopic studies in ecology and paleoecology.

Keywords: stable isotopes,palaeontology,palaeoecology,biogeology,carnivores,amino acids,pleistocene
Understanding the nanoscale synaptome architecture of the brain (SYNarch)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-07-01
End date: 2024-06-30
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: SIGNED

Synapses play an essential role in all behaviours and damage to synapse proteins results in over a 130 brain disorders. The host Grant lab has developed methods for brain-wide mapping of protein composition at single-synapse resolution, uncovering unexpected diversity. The different synapse types show unique spatiotemporal distributions in the brain across the lifespan, which are altered in genetic models of autism and schizophrenia. Synapse proteins are assembled into multiprotein complexes and supercomplexes, but little is known about their composition and spatial organisation within individual synapses, particularly in the intact brain. In SYNarch I aim to understand this subsynaptic protein architecture, its contribution to the spatiotemporal organisation of synapse diversity, and alteration in disease. The work plan will deliver a depth of skill acquisition integrated across a range of cutting-edge biochemical, molecular imaging, ultrastructural and computational technologies. In WP1 I will optimise use of Förster resonance energy transfer (FRET) to probe the sub-10 nm spatial relationship and number of endogenously labelled PSD95 complexes within individual synapses, backed up by complementary super-resolution microscopy techniques (STORM, TIRF) and microfluidics analysis. In WP2, FRET will be integrated with synaptome mapping technology to deliver an atlas of nanoscale information on a brain-wide scale – the PSD nanoscale synaptome architecture (PNSA) of the mouse brain. In WP3 I will uncover how the PNSA is impacted in the Dlg2 schizophrenia mouse model. SYNarch will help to provide new molecular insight into brain function and dysfunction on an unprecedented scale.

Keywords: synapse diversity,synaptome,postsynaptic density psd,f rster resonance energy transfer fret,super resolution microscopy,nanoarchitecture,multiprotein complex,brain disorder
ECO-innovative Energy FACTory Management System based on enhanced LCA and LCCA towards resource-efficient manufacturing (ECOFACT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Technologies for Factories of the Future
Action type: Innovation actions
Countries involved: Spain,Italy,Spain,Italy,Italy,Germany,Spain,Ireland,Spain,Italy,Spain,Türkiye,Greece,Romania,Greece,Greece,Netherlands
Call: Energy-efficient manufacturing system management (IA) (H2020-NMBP-TR-IND-2020-singlestage, 2020)
Start date: 2020-10-01
End date: 2024-09-30
Duration (months): 48.0
Total project cost (EUR): 12314473.75
EU funding (EUR): 9893318.13
Participants: 23
Project status: SIGNED

ECOFACT aims at enabling manufacturing industries to optimize the energy performance of their production systems in line with their relevant production constraints (time and resources), while at the same time introducing a novel green marketing approach through the concept of energy and environmental signature of the manufactured products from a life-cycle perspective. These results will be achieved from a data-driven approach thanks to the uptake of advanced ICT technologies, while better adapting to the consumer demands through customized sustainable production. The core of the ECOFACT platform as such, will be built at this high-level (Apps&Services) layer in a multi-service approach providing an innovative holistic combination of functionalities for advanced energy-efficient, sustainable process/product design and manufacturing management.

Keywords: lcca,sustainable production,resource efficient manufacturing