Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Learning to play LEGO with metamaterials ! (META-LEGO)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: Germany,France
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2021-09-01
End date: 2026-08-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 2
Project status: SIGNED

META-LEGO will bring the knowledge needed to design metamaterials/classical-materials structures that control elastic waves and recover energy. For this, I will develop, implement and validate a new paradigm for finite-size metamaterials’ modeling, by leveraging the relaxed-micromorphic model that I have contributed to pioneer. The presence of boundaries in metamaterials strongly affects their response when coming in contact with mechanical loads. Yet, we still lack an exhaustive model to predict the static/dynamic response of finite-size metamaterials: current homogenization methods are unsuitable to provide a coherent transition from infinite- to finite-size metamaterials modeling. This prevents us from exploring realistic structures combining metamaterials’ and classical-materials’ bricks of finite size. META-LEGO hypothesizes that the mechanical response of finite-size metamaterials can be explored going beyond classical homogenization. Instead, I will create an elastic- and inertia-augmented micromorphic model with embedded internal lengths to describe the main metamaterials’ fingerprint characteristics, such as anisotropy, dispersion, band-gaps, size-effects, etc. To provide this paradigm shift, I will focus on 4 objectives: 1. Model metamaterials’ response under static/dynamic loads 2. Implement the model on infinite-size metamaterials 3. Validate the model on finite-size metamaterials 4. Design and manufacture metamaterials/classical-materials structures able to control elastic waves and recover energy The reduced model’s structure (free of unnecessary parameters), coupled with well-posed boundary conditions, will allow us to unveil the static/dynamic response of both real and not-yet-existing metamaterials’ bricks of arbitrary size and shape. Playing LEGO with such bricks, we will be able to design and optimize surprising meta-structures, such as noise- and vibration-controlled railway stations, or meta-cities entirely protected from seismic waves.

Keywords: enriched continuum models,micromorphic models,mechanical metamaterials,heterogeneities,finite size metamaterials,large scale meta structures
Extending the Ocean Data Interoperability Platform (ODIP 2)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: Support and infrastructures
Action type: Coordination and support actions
Countries involved: Germany,Germany,Spain,Germany,Spain,Italy,Italy,Germany,Belgium,Belgium,Belgium,Greece,Russian Federation,France,France,Netherlands,United Kingdom
Call: International cooperation for research infrastructures (H2020-INFRASUPP-2014-2, 2014)
Start date: 2015-04-01
End date: 2018-03-31
Duration (months): 36.0
Total project cost (EUR): 1912086.25
EU funding (EUR): 1912086.25
Participants: 20
Project status: CLOSED

The Ocean Data Interoperability Platform project is promoting the development of a common global framework for marine data management by developing interoperability between existing regional e-infrastructures. Through a series of international workshops attracting relevant domain experts a number of prototype interoperability solutions will be developed which will be implemented by the regional data infrastructures to provide users with open access to good quality multidisciplinary data and associated services. Improved access to a range of marine data will facilitate re-use of the data and support researchers in addressing grand challenges such as climate change and conservation of marine resources.

Keywords: data management,ocean data standards,interoperability,data discovery and access
Integrated Activities for the High Energy Astrophysics Domain (AHEAD)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: Integrating activities and infrastructures
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Estonia,Ireland,Italy,Italy,Italy,Italy,Italy,Germany,Spain,Switzerland,Belgium,Finland,Greece,Poland,France,Czechia,Netherlands,Denmark,United Kingdom,United Kingdom,Portugal
Call: Integrating and opening existing national and regional research infrastructures of European interest (H2020-INFRAIA-2014-2015, 2014)
Start date: 2015-09-01
End date: 2019-02-28
Duration (months): 42.0
Total project cost (EUR): 5085247.0
EU funding (EUR): 4982477.0
Participants: 28
Project status: CLOSED

We propose a set of integrated Activities in the High Energy Astrophysics Domain (AHEAD) in response to the INFRAIA-2014-2015 call Research Infrastructures for High EnergyAstrophysics. The overall objective of AHEAD is to integrate national efforts in high-energy Astrophysics and to promote the domain at the European level, to keep its community at the cutting edge of science and technology in this competitive research area and ensure that space observatories for high-energy astrophysics are at the state of the art. AHEAD will integrate key research infrastructures for on-ground test and calibration of space-based sensors and electronics and promote their coordinated use. In parallel, the best facilities for data analysis of high-energy astrophysical observatories will be made available to the European community. The technological development will focus on the improvement of selected critical technologies, background modeling, cross calibration, and feasibility studies of space-based instrumentation for the benefit of future X-ray and gamma-ray missions, and the best exploitation of existing observatories. AHEAD will support the community via grants for collaborative studies, dissemination of results, and promotion of workshops. A strong public outreach package will ensure that the domain is well publicized at national, European and International level. The virtual circle infrastructure - networking - joint research activities, as devised in AHEAD, serves to establish strong connections between institutes and industry to create the basis for a more rapid advancement of high-energy astrophysical science, space-oriented instrumentation and cutting-edge sensor technology in Europe. This enables the development of new technologies and the associated growth of the European technology market, - with a dedicated technology innovation package - as well as the creation of a new generation of researchers.

Keywords: high energy astrophysics,space,x rays,gamma rays,astrophysics,ground test facilities,detectors,optics,data analysis,astronomical satellite
“Nanocomposite for building constructions and civil infraestructures: European network pilot production line to promote industrial application cases.” (NANOLEAP)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Efficient and sustainable synthesis and manufacturing of nanomaterials, components and systems
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Italy,Italy,Germany,Germany,Spain,Italy,Italy,Spain,Switzerland,Sweden,Poland,Slovenia,France,France,United Kingdom,United Kingdom
Call: Open access pilot lines for cost-effective nanocomposites (H2020-NMP-PILOTS-2014, 2014)
Start date: 2015-01-01
End date: 2018-06-30
Duration (months): 42.0
Total project cost (EUR): 7679159.25
EU funding (EUR): 6878348.75
Participants: 21
Project status: CLOSED

NANOLEAP project aims at the development of a coordinated network of specialized pilot lines for the production of nanocomposite based products for different civil infrastructure and building applications. The goal of this infrastructure is to support the research activities of European SMEs in the Construction sector in nanocomposite products enabling the progress of the product to next steps of technology deployment such as installation of industrial pilot lines and enter in the commercialization stage. For the creation of the NANOLEAP project pilot line network, the most promising applications of polymeric nanocomposites in the construction and engineering sector have been selected. This project will support the pilot lines for the scaling up and production of these nanocomposite based products in order to facilitate their further adoption by the entire construction chain: • Antiweathering and anticorrosion nanocomposite coatings for the protection of structures exposed to aggressive environments such as wind turbines, offshore, marine infrastructure. • Multifunctional polymeric nanocomposites providing smart applications to traditional construction materials such as concrete and coatings including self-cleaning, hydrophobicity, optical properties, early warning crack and water leak alarm. • Prefab non-structural elements such as aerogels mechanically reinforced with nanoparticles for high-thermal insulation applications in building insulation. . • Coated nanoparticles with improved compatibility with the matrix providing a wide range of functionalities and leading to high quality products and important saves of energy. In order to implement and demonstrate this approach, NANOLEAP project brings together a European Network of pilot production facilities focused on scaling up nanocomposite synthesis and processing methods.

Keywords: nanocomposite,production pilot plants,advanced construction materials,nanocomposite processintg
Next Generation I/O for Exascale (NEXTGenIO)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: High Performance Computing
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Germany,Spain,Slovenia,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: HPC Core Technologies, Programming Environments and Algorithms for Extreme Parallelism and Extreme Data Applications (H2020-FETHPC-2014, 2014)
Start date: 2015-10-01
End date: 2019-09-30
Duration (months): 48.0
Total project cost (EUR): 8114504.0
EU funding (EUR): 8114504.0
Participants: 10
Project status: CLOSED

The overall objective of the Next Generation I/O Project (NEXTGenIO) is to design and prototype a new, scalable, high-performance, energy efficient computing platform designed to address the challenge of delivering scalable I/O performance to applications at the Exascale. It will achieve this using highly innovative, non-volatile, dual in-line memory modules (NV-DIMMs). These hardware and systemware developments will be coupled to a co-design approach driven by the needs of some of today’s most demanding HPC applications. By meeting this overall objective, NEXTGenIO will solve a key part of the Exascale challenge and enable HPC and Big Data applications to overcome the limitations of today’s HPC I/O subsystems. Today most high-end HPC systems employ data storage separate from the main system and the I/O subsystem often struggles to deal with the degree of parallelism present. As we move into the domain of extreme parallelism at the Exascale we need to address I/O if such systems are to deliver appropriate performance and efficiency for their application user communities. The NEXTGenIO project will explore the use of NV-DIMMs and associated systemware developments through a co-design process with three ‘end-user’ partners: a high-end academic HPC service provider, a numerical weather forecasting service provider and a commercial on-demand HPC service provider. These partners will develop a set of I/O workload simulators to allow quantitative improvements in I/O performance to be directly measured on the new system in a variety of research configurations. Systemware software developed in the project will include performance analysis tools, improved job schedulers that take into account data locality and energy efficiency, optimised programming models, and APIs and drivers for optimal use of the new I/O hierarchy. The project will deliver immediately exploitable hardware and software results and show how to deliver high performance I/O at the Exascale.

Keywords: exascale i,o non volatile memory
MOtivating end-users Behavioral change by combined ICT based tools and modular Information services on energy use, indoor environment, health and lifestyle (MOBISTYLE)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Reducing energy consumption and carbon foorpint by smart and sustainable use
Action type: Innovation actions
Countries involved: Italy,Italy,Italy,Poland,Slovenia,Netherlands,Netherlands,Denmark,United Kingdom
Call: Behavioural change toward energy efficiency through ICT (H2020-EE-2016-RIA-IA, 2016)
Start date: 2016-10-01
End date: 2020-06-30
Duration (months): 45.0
Total project cost (EUR): 2407910.0
EU funding (EUR): 1999725.5
Participants: 11
Project status: CLOSED

The overall aim of MOBISTYLE is to raise consumer awareness and awareness of ownership, thus empowering consumers and providing confidence of choosing the right thing, by providing attractive tailor-made combined knowledge services on energy use, indoor environment, health and lifestyle, by ICT-based solutions. This awareness will support and motivate end-users to well informed pro-active behavior towards energy use, energy efficiency and health. The objectives are: 1. To make energy use and energy efficiency understandable and easy to handle in an attractive way by unlocking and translating large data sets using data science from energy monitoring for consumers. a. To transform ‘big data’ into ‘smart data’, i.e. giving meanings to data, making data understandable and findable. b. To develop easy to use, desirable ICT-based tools which will make energy monitoring a well-accepted and attractive ‘daily activity’ for end-users as well as for professionals (building managers). 2. To provide understandable information to consumers on health and life style in relation to energy use by combining energy monitoring with monitoring indoor environmental and behavior parameters a. To combine the several low-cost, non-intrusive devices and monitoring with the energy monitoring. b. To offer the end user transparency on energy use/efficiency, indoor environment, health and lifestyle. 3. To motivate behavioral change of consumers/energy end-users by combined modular information on energy use, health and lifestyle: To transform this information into knowledge for raising awareness on energy use and behavior, thus motivating and supporting to come to a behavioral consciousness and change of lifestyle concerning energy and health. 4. To foster new business models and applications 5. To deploy and validate the developed solutions and services in different building types and user types, demonstrating a significant reduction of final energy use, prompted by these solutions.

Keywords: behavioral change,energy performance gap,indoor environment,health,lifestyle
Elucidating the impact of the microbiome on adipose tissue immune cell interactions during obesity (INTERFAT)

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: Israel
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-06-01
End date: 2021-05-31
Duration (months): 24.0
Total project cost (EUR): 173464.32
EU funding (EUR): 173464.32
Participants: 1
Project status: CLOSED

Obesity affects hundreds of millions of people worldwide and poses a major burden on global health and economy. Immune cells residing in white adipose tissue (WAT) have recently been highlighted as important factors contributing to metabolic dysfunctions during obesity, which is characterized by chronic low-grade inflammation of fat depots. The yet unresolved interplay between adipocytes and immune cells in the WAT niche represents a major challenge to any rational interference into the metabolic derailments. Likewise, the microbiome has been suggested as a critical mediator of obesity, but the regulatory mechanisms remain elusive. My project aims at a comprehensive assessment of the adipocytes, the adipose tissue immune cells, and their intercellular communication circuits during high-fat diet-induced obesity, as well as the exploration of the impact of the intestinal microbiota on this dynamic process. First, I will characterize adipocytes and immune cells in WAT at the steady state and during obesity of mice by means of single-nuclei RNA-sequencing. Then, I will utilise these transcriptomic profiles for computational modelling to discover disease-specific cell-to-cell interactions, and validate them in signal transduction experiments. This approach together with the analysis of faecal microbiome transplantations into germ-free mice will define the contribution of intestinal microbiota to the WAT remodelling during obesity. By elucidating the impact of commensal bacteria on adipose tissue cell-to-cell interaction networks, my project aims to take a radically new approach in studying the microbiome-adipose tissue axis and its mechanistic contribution to the aetiology of the obesity pandemic. This systems biology approach may lead to a conceptual leap forward in our understanding of adipocyte biology and WAT immune cell regulation, thereby exploring possibilities for microbiome-based personalized therapies against adipose tissue inflammation during obesity.

Keywords: obesity,adipose tissue,immune cells,interaction,inflammation,modelling
A Faster Approach to Network Control (FANC)

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: Information Science and Engineering
Countries involved: Ireland,United States
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-01-01
End date: 2022-06-02
Duration (months): 36.0
Total project cost (EUR): 248063.4
EU funding (EUR): 248063.4
Participants: 2
Project status: CLOSED

This project is about network control (NC) algorithms, a subclass of control algorithms that are used in scheduling, congestion control, or more generally, in resource allocation problems in networks. In the last years, NC algorithms have been designed at the same pace as new services were available (e.g. video streaming, VoIP). However, this is becoming increasingly difficult. The increasing complexity of data networks and the diversity of services offered are making NC algorithms slow and complicated to design, and as a result, less effective in practice. For instance, it can take months to develop a new NC algorithm. In this project, we aim to change the paradigm in which NC algorithms are designed. We want to move away from the current 'paper and pencil' approach and go towards a much faster method using software. In particular, we want to use recent breakthroughs in the areas of optimisation and networking to: (i) develop a new mathematical framework that abstracts previous solutions, and (ii) create a software package that allows us to use the framework in a simple and fast way (i.e. model NC problems and generate algorithms). That is, the software package will make possible to use the framework in a simple language, which will speed up the modelling of NC problems. This project is important because it will make possible to deliver future services on time while using network resources efficiently, but also because it connects solid theory developed in academia with real problems addressed by industry. During the last phase of the project, we will collaborate with an industry research lab (NEC) to exploit the project results.

Keywords: resource allocation problems in networks,convex optimisation,optimal control,scheduling,generalised max weight scheduling algorithms
Enhanced under water superoleophobicity by micro/nano topography and hydrophilic polymer brushes for high efficiency oil-water emulsion separation (HYDRA)

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-2017, 2017)
Start date: 2019-01-07
End date: 2021-01-06
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Superhydrophilic-underwater superoleophobic membrane is a kind of functional separation membranes based on special wettability, with very promising application prospect in oil/water separation. The stability of the material is the key factor in its performance. This proposal aims to develop stable membranes with superhydrophilicity-underwater superoleophobicity design, by combining synergistically the stupendous hydrated polymer brushes and anisotropic micro-/nano-structures on a surface. We will suppress the wetting transition due to oil penetration via the stable hydration shell of the polymer brush on the vertical direction, and directional oil droplet transmission via the anisotropic surface structures tangential to a surface. Our results aim to reveal the relationships between the molecular brush structure, anisotropic micro-/nano-structure on the surface, and wettability in the oil-water-solid three phase system, illustrating the nature of science of wetting transition and transition suppression, understanding the mechanism of superhydrophilic-underwater superoleophobic surfaces under pressure in multiple phase systems, and ultimately establishing the design strategy for effective membranes for oil-water separation important in many applications of significant economic and societal impact.

Keywords: under water superoleophobicity,superhydrophilicity,anisotropic structure,polymer brushes,oil water emulsion separation