Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
NEw Science from the phase space of old stellar SYstems (NESSY)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-10-15
End date: 2017-10-14
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

In the last few years our traditional interpretative paradigm of the internal dynamics of globular star clusters (GCs) has been revolutionized by a series of discoveries about their chemical, structural, and kinematic properties. The existence of multiple stellar populations is now regarded as a ubiquitous phenomenon, while for decades GCs have been viewed as the epitome of a “simple stellar population”. Empirical scaling relations between super massive black holes masses and the velocity dispersion of their host galaxy encourage to consider GCs as host systems of intermediate mass black holes (IMBHs). Finally, little attention has been traditionally paid to the role played by angular momentum in the dynamical evolution of these systems, yet an increasing number of young and old star clusters are now being observed to have evidence of rotation. The astrometric mission Gaia, by allowing the acquisition of the proper motion of thousands of stars in Galactic GCs with exquisite detail, will soon unlock the full phase space of these stellar systems. Such a tremendous observational progress, coupled with recent improvements on the side of numerical simulations, calls for a renewed effort on dynamical modelling. The proposed research program is therefore exceptionally timely and, by means of a unique combination of analytical models, numerical simulations, and the exploitation of state-of-the-art observational data, aims at forming a more realistic dynamical paradigm for this class of stellar systems by providing answers to the following key questions: (1) Are there specific signatures in phase space characterizing the dynamical evolution of multiple stellar populations in GCs? (2) What is the role of the angular momentum in the early and long-term dynamical evolution of star clusters? (3) Is there a dynamical connection between internal rotation and the presence of IMBHs in GCs?

Keywords: globular star clusters,stellar dynamics,gaia,multiple stellar populations,intermediate mass black hole,rotation,anisotropy,proper motions,n body simulations,analytical models
Unraveling the Photoprotecting Mechanism of Melanin - From a Library of Fragments to Simulation of Spectra and Function (Mel.Photo.Protect)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-09-01
End date: 2021-08-31
Duration (months): 24.0
Total project cost (EUR): 172932.48
EU funding (EUR): 172932.48
Participants: 1
Project status: CLOSED

Melanin is the deeply coloured, insoluble and heterogenous biopolymer of animal skin, hair and eyes responsible for protection against harmful light action. It also has a pathogenic role as a generator of reactive oxygen species and possibly through chemiexcitation, and its polydopamine synthetic analogue has raised great interest in the materials community. In spite of these multiple points of interest, the details of melanin structure and its main photoprotecting function are still largely unknown, mostly due to the heterogeneous polymer structure. Closing this gap is an urgent challenge, and our proposal aims at doing that with the methods of computational chemistry. Based on the widely accepted hierarchical structure model for melanin, in WP1 we will generate a library of aggregates made of 5,6-dihydroxyindole (DHI) and 5,6-dihydroxyindole-2-carboxylic acid (DHICA) oligomers with different connectivity and redox state (diol, semiquinone and quinone forms). In WP2 we will simulate the absorption spectra of the aggregates and compare them with the experimental melanin spectrum, which starts at the near IR and increases monotonically into the UV. In WP3 we will simulate the excited-state decay mechanisms for the different aggregates in order to explain melanin's lack of fluorescence, which is indicative of fast decay responsible for its photoprotecting function. The results of our project will provide a new view on the photoprotecting function of melanin based on a systematic consideration of its heterogeneous structure, and they will allow us to assess what specific aggregates are responsible for the different functional characteristics. They will help us to assess the possible pathogenic role of melanin chemiexcitation, and provide new principles for design of PDA-based functional materials.
Algorithmic Verification of String Manipulating Programs (AV-SMP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Germany,United Kingdom
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2017-11-01
End date: 2022-10-31
Duration (months): 60.0
Total project cost (EUR): 1496687.0
EU funding (EUR): 1332075.0
Participants: 2
Project status: CLOSED

String is among the most fundamental and commonly used data types in virtually all modern programming languages, especially with the rapidly growing popularity of scripting languages (e.g. JavaScript and Python). Programs written in such languages tend to perform heavy string manipulations, which are complex to reason about and could easily lead to programming mistakes. In some cases, such mistakes could have serious consequences, e.g., in the case of client-side web applications, cross-site scripting (XSS) attacks that could lead to a security breach by a malicious user. The central objective of the proposed project is to develop novel verification algorithms for analysing the correctness (esp. with respect to safety and termination properties) of programs with string variables, and transform them into robust verification tools. To meet this key objective, we will make fundamental breakthroughs on both theoretical and tool implementation challenges. On the theoretical side, we address two important problems: (1) design expressive constraint languages over strings (in combination with other data types like integers) that permit decidability with good complexity, and (2) design generic semi-algorithms for verifying string programs that have strong theoretical performance guarantee. On the implementation side, we will address the challenging problem of designing novel implementation methods that can substantially speed up the basic string analysis procedures in practice. Finally, as a proof of concept, we will apply our technologies to two key application domains: (1) automatic detection of XSS vulnerabilities in web applications, and (2) automatic grading systems for a programming course. The project will not only make fundamental theoretical contributions — potentially solving long-standing open problems in the area — but also yield powerful methods that can be used in various applications.

Keywords: automata
Development of Graphene based Contact Position Sensors (GrapheneSens)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: United Kingdom
Call: Accelerating the uptake of nanotechnologies advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2017-02-01
End date: 2017-07-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The overall objective of the GrapheneSens project is to develop novel graphene enabled contact position sensors for applications in automotive sectors, home appliances (white goods) and other relevant areas. The market size in the automotive sector alone for global position sensor is worth US$3.89 billion. One of the main disadvantages of existing contact position sensors technology is poor wear characteristics (leading to reduced sensor reliability, drift over lifetime) and limited sensor accuracy (surface roughness leading to noise). We have found that graphene is ideal to use in these sensors because of its tribological properties which relates to wear and barrier properties. To utilise graphene in these sensors, we combine the unique benefits of graphene to develop graphene based nano-composite coatings to obtain high wear and barrier properties: wear resistance combined with tailored resistivities; wear resistance combined with high conductivities and wear resistance combined with oxygen barrier. Each coating developed through modification of the same graphene ‘base ink’ formulation thereby maximising similarities between the coatings and thus improved wear performance. The potentiometer and the encoder sensors are developed by printing graphene based nano-composite ink using screen printing technology while wiper unit is developed by using Aerosol Assisted Ion Deposition (AAID) technology. The graphene enabled contact potentiometer sensors will be highly durable (life cycle>4million), high linearity (<0.5%) and 22% cheaper and the encoder sensor have a track life > 100 k cycles, accuracy of 40+ pulse with better barrier properties to prevent oxidation and 18% cheaper. We expect to achieve annual sales revenue and profit of €38.53 million and €14.51 million respectively by 2023 with post project 5 year and return on investment (ROI) of 480%.

Keywords: graphene,contact sensors,position sensors,nano ink,automotive
Synthesis and nanostructuration of a Pi-conjugated polymer for dye sensitized solar cells (PolySolar)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Society and Enterprise panel
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Duration (months): 24.0
Total project cost (EUR): 196707.84
EU funding (EUR): 196707.84
Participants: 1
Project status: SIGNED

π-Conjugated semiconducting organic polymers have gained a widespread interest for their potential application in the fabrication of organic electronic devices. Efficiency of these devices largely depends on the ability of the polymeric film to transport charge; thus attempts are being made to enhance the charge mobility by improving crystallization, aggregation and orientation of the material during the pre-processing. Dip coating, spin coating, doctor blading and thermal annealing techniques are being used for the development of oriented microstructures, however, these techniques are not practicable on a large scale. However, microfluidics is an emerging multidisciplinary field with practical applications in lab-on-a-chip technology. It deals with the precise control, behaviour and manipulation of fluids. It has widely been used for the controlled nucleation and crystallization of small conjugated materials. The aim of this project is to synthesize new soluble conjugated organic polymers by simple solution polycondensation method. The monomers and the resulting polymeric material will be characterized by using the standard techniques. New microchannel system will be designed and fabricated by using polymer, glass or thermoplastics. The polymer solutions will be pre-processed (under optimized conditions like temperature, flow rate or magnetic field) by micro-fluid technique for precise manipulation of crystallization, aggregation and orientation in the solution form. Effect of the variable flow rate, solvent systems and temperatures will be studied. The processed solution will be then spin coated to fabricate prototype dye sensitized solar cell. Atomic force Microscopy, Grazing-incidence wide-angle X-ray scattering, UV visible spectroscopy will used to investigate the aggregation and formation of clusters. Electrical measurements, namely current-voltage (I-V) will be carried out to study the transport properties and cell parameters of the device.

Keywords: microfluidics,nanostructuration,dssc
Connecting Russian and European Measures for Large-scale Research Infrastructures (CREMLIN)

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,Germany,Germany,Germany,Germany,Sweden,Russian Federation,Switzerland,Belgium,France,France
Call: International cooperation for research infrastructures (H2020-INFRASUPP-2014-2, 2014)
Start date: 2015-09-01
End date: 2018-08-31
Duration (months): 36.0
Total project cost (EUR): 1696250.0
EU funding (EUR): 1696250.0
Participants: 20
Project status: CLOSED

This CREMLIN proposal is to foster scientific cooperation between the Russian Federation and the European Union in the development and scientific exploitation of large-scale research infrastructures. It has been triggered by the recent so-called megascience projects initiative launched by and in the Russian Federation which is now very actively seeking European integration. The proposed megascience facilities have an enormous potential for the international scientific communities and represent a unique opportunity for the EU to engage in a strong collaborative framework with the Russian Federation. The CREMLIN proposal is a first and path finding step to identify, build and enhance scientific cooperation and strong enduring networks between European research infrastructures and the corresponding megascience facilities to maximize scientific returns. The proposal follows the specific recommendations of an EC Expert Group by devising concrete coordination and support measures for each megascience facility and by developing common best practice and policies on internationalisation and opening. CREMLIN will thus effectively contribute to better connect Russian RIs to the European Research Area.

Keywords: large scale research infrastructures,randd cooperation with russia,russian megascience projects
Commercialisation of a Novel Modular Air Cooled Condenser for Steam Cycle Power Generation (COMACC)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Ireland
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-1-2014, 2014)
Start date: 2014-10-01
End date: 2015-03-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Each year, tens of thousands of MW of Steam Turbine (ST) power generation capacity are installed globally. For all of these installations it is necessary to condense the steam at the outlet of the ST. The global market for condensers for this application in 2011 was estimated at $1.9B and it is expected to grow at a Compound Annual Growth Rate of 5.2% to reach $3.3B by 2030. Water cooling or air cooling techniques can be used in condensers. In recent years, due to environmental restrictions and water scarcity, the use of Air Cooled Condensers (ACC) has become increasingly popular. However, ACCs have a number of shortcomings. Over the past four years RR Projects (RRP) have been involved in MACCSol, an EU FP7 project which is developing a Modular Air Cooled Condenser (MACC) for condensing steam from STs . The MACCSol project has verified that the MACC results in a 4% increase in power plant output compared to a power plant using a conventional ACC, thus providing increased revenues for the end user, and reduced carbon emissions. A pilot scale MACC demonstrator is currently being installed in a 1MW power plant. Following the MACCSol project, the MACC is at Technology Readiness Level 6. The long term objective of RRP is that the MACC displace the conventional ACC as the dominant means of condensing steam from STs, and that RRP's revenues will grow significantly as a result. The specific objectives of this feasibility study are to determine the feasibility of commercializing the technology, and to generate a detailed business plan to enable the exploitation of the technology. The tasks to be performed in the project will include an analysis of cost structures, an assessment of intellectual property protection, strategy development and identification of partners. Upon completion of the feasibility study, it is the intention of RRP to apply to the Phase 2 SME Instrument to seek funding to demonstrate the MACC technology at commercial scale.

Keywords: modular air cooled condenser,dry cooling
Faster and smarter chemical R&D with accurate physical property predictions (Hafnium)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Denmark
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2020-01-01
End date: 2022-09-30
Duration (months): 33.0
Total project cost (EUR): 2222500.0
EU funding (EUR): 1555750.0
Participants: 1
Project status: CLOSED

Accurate knowledge of properties of chemical compounds is essential for all chemical research. Without it, cutting-edge research becomes very expensive or impossible, and costly decisions to buy unnecessarily large or powerful equipment may be made. Experimentation is accurate but slow and very expensive. On the other hand, all computer models for chemical properties are inaccurate, because chemical interactions are too multi-layered and complex for us to model, even with the much-vaunted “power of AI”. In a completely new approach, Hafnium Labs has developed a software tool that systematically analyses the best computer models and experimental data to provide predictions that are >10 times more accurate than current state-of-the-art models. This will allow scientists to short-circuit months of experimentation, to optimize processes and to investigate more molecules that could have breakthrough properties. Q-props has been successfully used in three contracted projects with large customers and Hafnium Labs has five letters of support and verbal expressions of interest from over 20 other global oil & gas, chemicals and pharma companies. Hafnium Lab's strategic goal is to become the market leader for property predictions across all stages of chemical R&D, all industries, and ranging from large corporations to SME's and research institutions. The financial goal is to reach sales of €50m and EBITDA of €16m in 2025. Hafnium Labs has a TRL6 prototype operating in its own cloud, but to address customers' need for confidentiality in their R&D work and enable revenue scale-up, the first objective of the Phase 2 project is to modify the prototype so that it can run on customers' own clouds. The second objective is to optimize and simplify how customers work with their own valuable data in Q-props and the third objective is to ensure that the software can be used by all chemical scientists and engineers, including those who lack specialist knowledge of chemical modelling.

Keywords: chemical and physical properties,quantum chemistry,molecular dynamics,property prediction,data science,chemical randd,pharmaceutical randd
Design and locomotion of Bio-inspired Flapping-Wing Aerial-Aquatic robots (FAAV)

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: Information Science and Engineering
Countries involved: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-12-01
End date: 2023-11-30
Duration (months): 24.0
Total project cost (EUR): 191149.44
EU funding (EUR): 191149.44
Participants: 1
Project status: SIGNED

As our world is experiencing climate changes, we need better monitoring technologies. Since most of our planet is covered in water, sample and data collection in rivers, lakes and oceans plays a leading role in our world’s understanding. While robotics shows huge promises in this task, aquatic environments remain challenging to operate in. There is thus a strong need for light, affordable and resilient mobile robots that can operate and rapidly collect multiple measurements in these environments. Aerial-aquatic robots are promising to combine the capability to cover large distance in air, overcoming obstacles with the ability to physically interact, measure, and sample our lakes, rivers and oceans. For that, we need to study new locomotion methods and platforms that (1) can effectively move from water to air and transition in-between (2) can cope with the highly complex and dynamic nature of our environment i.e. wind, waves (3) possess a high level of autonomy and reliability to reliably operate with climate scientists. For this, I propose a small-scale flapping wing approach. Animals have readily shown aerial-aquatic locomotion and therefore are a tremendous source for inspiration, already demonstrating the capabilities of flapping-wing. These devices are inherently safe thanks to their low velocities, also preventing breakage, and promise to efficiently move both in air and in water. This project will result in the first Flapping wing, Aerial-Aquatic Vehicle - or FAAV capable of carrying relevant sensory payload. This will build upon a theoretical model of this locomotion strategy and successive tests both in air and underwater, leading to an efficient, reliable device capable of sub-surface and air motion. The resulting designs will be field-tested in realistic outdoor conditions and equipped with navigation and data-collection capabilities for environmental research.

Keywords: bio inspired,mobile robotics,multi modal,flapping wing