Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
I-PRIMES: an Intelligent Power Regulation using Innovative Modules for Energy Supervision (I-PRIMES)

Framework: FP7 — Cooperation
Programme: Joint Technology Initiatives (Annex IV-SP1)
Theme: Public-private partnerships
Destination: Clean Sky
Action type: Article 171 of the Treaty
Partnership: CLEAN-SKY (Art-185)
Countries involved: Italy
Call:  (SP1-JTI-CS-2011-03, 2011)
Start date: 2012-06-01
End date: 2014-12-31
Duration (months): 31.0
Total project cost (EUR): 249600.0
EU funding (EUR): 187200.0
Participants: 2
Project status: CLOSED

The main objective of the proposal is the development of an hardware device able to implement an innovative power management (I-LPM) function for an aeronautical electrical network. The proposal is based on the two keypoints. First one concerns the I-LPM strategy for the specific application, that will be first derived and tested in a simulation environment. In a second phase the above strategy will be implemented, adopting semi-automatic techniques for translation of the simulation model into firmware. Second keypoint is about an EPC (Electrical Power Center) hardware extension that will be designed and realized, where a modular approach will be considered for the overall equipment implementation. Each cell will be composed by a programmable device, an interfacing stage and possibly by an innovative power device switching component. A “master” module will be able to implement the I-LPM concept and communicate with “slave” modules for correct energy management strategy implementation. Different types of “slave” modules will be considered, taking into account the necessity of I-LPM strategy implementation for both “fixed power” and “variable power” loads. A preliminary analysis phase will be conducted in order to analyze the fundamental requirements for the project objectives and derive the specifications set. After the models validation, it will be necessary to implement the derived models as real electronic components. Before integration on the ETB (Electrical Test Bench), the hardware performances will be verified towards the expected results, considering the requirements derived in the first stage as well as the obtained simulation results. Next, a complete test case set will be performed in order to evidence the expected results fulfillment. Finally, an optimization stage will consider the user's feedbacks and appropriately manage potential faults occurring on the electrical network.

Keywords: power management,supervisory control,modular electrical equipments,modelica,petri nets,solid state power controller
Low-valent silicon complexes:Transition metal-like catalysts (NEWSILICON)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Materials and Synthesis
Countries involved: France
Call:  (ERC-2012-StG_20111012, 2012)
Start date: 2012-09-01
End date: 2017-08-31
Duration (months): 60.0
Total project cost (EUR): 1433725.0
EU funding (EUR): 1433725.0
Participants: 1
Project status: CLOSED

This project principally concerns the use of silicon (the second most abundant element in the Earth’s crust) as catalyst instead of transition metals. Although the importance of its abundance is well recognized in material chemistry, as it can be seen by the vast world production of silicon based materials (polymers, rubber, semiconductors), real success in chemistry with such a vision has never been achieved. This is probably due to the lack of appropriate stable silicon species with particular and highly modulable electronic properties which can be applied for various catalytic systems. We propose, in this project, the development of new silicon species with a transition metal like behavior. The success of this project should open a new wide research domain in chemistry and could change the vision of catalysis.

Keywords: main group elements,silicon chemistry,silylene,silylenoid,catalysis
Small ribonucleic acids in silico (S-RNA-S)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Physical and Analytical Chemical sciences
Countries involved: Italy
Call:  (ERC-2012-StG_20111012, 2012)
Start date: 2012-10-01
End date: 2017-09-30
Duration (months): 60.0
Total project cost (EUR): 1295700.0
EU funding (EUR): 1295700.0
Participants: 1
Project status: CLOSED

Ribonucleic acid (RNA) is acquiring a larger importance in cell biology, as more functions that it accomplishes are discovered. In particular, as it has emerged in the last decade, it has a crucial role in the post-transcriptional regulation of gene expression. The comprehension of these mechanisms and, in general, of RNA properties at a molecular level is a key issue in the study of many diseases and paves the way to possible applications in molecular medicine. Particularly interesting in this context are riboswitches, small portions of messenger RNAs which change their conformation in presence of specific metabolites and consequently inhibit or enhance gene transcription or translation. Another issue of paramount interest is RNA metabolism, crucial for viral replication, and in particular of the interaction of RNAs and the molecular motors devoted to its manipulation and unwinding. One of the goals of the present project is to develop new in silico approaches based on molecular dynamics for the study of small RNA molecules. In particular, the research will focus on (a) the development of ad hoc techniques to accelerate molecular dynamics simulations of RNA and of RNA-protein complexes and (b) to predict the three-dimensional structure of small RNAs. Another major goal of the present project is to apply the aforementioned techniques, in combination with standard molecular dynamics and state-of-the-art rare-event methods, to the study of three extremely relevant topics: (a) the interaction between RNA and the helicases, which are the enzymes devoted to its unwinding in the cell, (b) the conformational transitions in riboswitches, and (c) the structure of non-coding inverted short interspersed elements (SINE).

Keywords: molecular dynamics simulations,rare event sampling,non-coding rnas,riboswitches,helicases
Template assisted assembly of METAmaterials using MECHanical instabilities (METAMECH)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Materials and Synthesis
Countries involved: Germany,Germany
Call:  (ERC-2012-StG_20111012, 2012)
Start date: 2012-10-01
End date: 2017-09-30
Duration (months): 60.0
Total project cost (EUR): 1469646.0
EU funding (EUR): 1469646.0
Participants: 2
Project status: CLOSED

The concept of optical metamaterials has opened completely new perspectives for manipulation of electromagnetic radiation. In contrast to homogenous materials, metamaterials enable qualitatively new features like negative index of refraction. These give rise to new fundamental physical effects, but as well to completely new applications like super-lensing or loss-free molding of the flow of light. Still, practical demonstrations of metamaterials for the near-IR and visible frequency range are scarce and limited to microscopic sizes. This is due to the fact that their assembly relies on complex and resource-consuming lithographic processes, which cannot be up-scaled well. This proposal aims at establishing a radically different assembly route for metamaterials, which is up-scalable to macroscopic areas and greatly reduces processing effort. The methodology relies on the synthesis of tailored colloidal building blocks, so-called meta-atoms, which combine metals and insulators in a well defined geometry. These meta-atoms will subsequently be assembled into hierarchical structures using templates fabricated by controlled wrinkling of elastomeric substrates. The use of mechanical instabilities in template formation eliminates lithographic steps in materials assembly. Structures and assembly processes will be optimized based on theory and simulation and morphological and optical properties will be investigated on meta-atom and metamaterials level. We target negative-index metamaterials, metamaterials for transformation optics and a new class of elastically deformable metamaterials. Upscaling of metamaterial formation on macroscopic dimensions will become feasible and the materials will become available for a broader academic and industrial community, making them in the mid-term available for applications in energy (light harvesting, light concentrators), information (manipulation of light flow) and medical technology (sensing).

Keywords: template assisted self-assembly,hierarchical nanoparticle assemblies,optical metamaterials,mechanical instabilities,wrinkling,transformation optics,mechanosensitive optical materials
Surface Self-Assembled Molecular Electronic Devices: Logic Gates, Memories and Sensors (E-GAMES)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Materials and Synthesis
Countries involved: Spain
Call:  (ERC-2012-StG_20111012, 2012)
Start date: 2012-12-01
End date: 2018-09-30
Duration (months): 70.0
Total project cost (EUR): 1499675.0
EU funding (EUR): 1499675.0
Participants: 1
Project status: CLOSED

Organic electronic devices, such as organic field-effect transistors (OFETs), are raising an increasing interest for their potential in large area coverage and low cost applications. Also, the use of single molecules as active electronic components offers great prospects for the miniaturization of devices and for their compatibility with biological systems. Within this framework, e-GAMES goals are: 1) Molecular logic gates for the storage and transmission of magnetic and optical information and for locally controlling surface wettability. The two huge limitations that hinder the application of molecules in logic gates are: i) Fabrication of devices on a solid support, ii) Concatenation of logic gates. I plan to overcome these drawbacks employing self-assembled monolayers of bistable electroactive molecules. These systems could also be used in the fabrication of surfaces with tunable wettability properties, of high interest in microfluidics and for biosensors. 2) Ambipolar organic field-effect transistors with donor-acceptor systems and their exploitation in light, temperature or pressure sensors, and/or memory devices. Intramolecular electron transfer in organic semiconductors designed for preparing ambipolar OFETs will be explored for the first time. This phenomenon will be exploited for the fabrication of light, pressure or temperature stimuli-responsive OFETs bringing innovative perspectives to the field. 3) Organic/inorganic hybrid devices based on field-effect transistors for sensing environmentally hazardous carbon nanoparticles. Carbon-based nanoparticles are being increasingly used in many applications despite their recognized toxicity. The grounds for the development of a new generation of nanotechnological low-cost and selective sensors based on transistors functionalized with organic sensing molecular monolayers for the detection of such materials will be developed, contributing towards the improvement of citizens’ safety and environmental preservation.

Keywords: organic electronics,molecular electronics,organic semiconductors,self-assembled monolayers,molecular design,molecular switches,field-effect transistors
Distributional Compositional Semantics for Text Processing (DISCOTEX)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Computer science and informatics
Countries involved: United Kingdom
Call:  (ERC-2012-StG_20111012, 2012)
Start date: 2012-09-01
End date: 2017-08-31
Duration (months): 60.0
Total project cost (EUR): 1087930.0
EU funding (EUR): 1087930.0
Participants: 1
Project status: CLOSED

The notion of meaning is central to many areas of Computer Science, Artificial Intelligence (AI), Linguistics, Philosophy, and Cognitive Science. A formal account of the meaning of natural language utterances is crucial to AI, since an understanding of natural language is at the heart of much intelligent behaviour. More specifically, Natural Language Processing (NLP) --- the branch of AI concerned with the automatic processing, analysis and generation of text --- requires a model of meaning for many of its tasks and applications. There have been two main approaches to modelling the meaning of language in NLP. The first, the ``compositional" approach, is based on classical ideas from Philosophy and Mathematical Logic, and includes formal accounts of how the meaning of a sentence can be determined from the relations of words in a sentence. The second, more recent approach focuses on the meanings of the words themselves. This is the ``distributional" approach to lexical semantics and is based on the idea that the meanings of words can be determined by considering the contexts in which words appear in text. The ambitious idea in this proposal is to exploit the strengths of the two approaches, by developing a unified model of distributional and compositional semantics, and exploiting it for NLP tasks and applications. The aim is to make the following fundamental contributions: 1. advance the theoretical study of meaning in Linguistics, Computer Science and AI; 2. develop new meaning-sensitive approaches to NLP applications which can be robustly applied to naturally occurring text. The claim is that language technology based on ``shallow" approaches is reaching its performance limit, and the next generation of language technology requires a more sophisticated, but robust, model of meaning, which this project will provide.

Keywords: natural language processing,computational linguistics,computational semantics
Smart interrogation of the immune synapse by nano-patterned and soft 3D substrates (SYNINTER)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Materials and Synthesis
Countries involved: France
Call:  (ERC-2012-StG_20111012, 2012)
Start date: 2013-01-01
End date: 2017-12-31
Duration (months): 60.0
Total project cost (EUR): 1133565.0
EU funding (EUR): 1133565.0
Participants: 1
Project status: CLOSED

We aim to design smart substrates and suitable detection techniques to understand better the dynamics and spatial organization found in the immunological synapse, with the ultimate goal of developing new diagnostic tools for sensitive detection of immune deficiency diseases that arise from faulty adhesion. The immunological synapse (IS), formed at the interface between a T-lymphocyte and an antigen presenting cell, has been the target of intense multidisciplinary research in the last decade. Studies point to a crucial role for adhesion mediated by protein clusters for the stability and activity of the synapse. However, even the cluster size - micro or nano scale - remains contentious. Furthermore, while in vivo, the synapse is formed in a soft 3D environment, most in vitro experiments are on hard 2D surfaces. Clearly, one way to probe how the micro/nano environment of the T-cell influences the IS is by interrogating it with artificial substrates that are soft, three dimensionally structured and exhibit motifs down to the cluster length-scale. We shall develop 3D and soft polymeric structures with controlled placement of adhesion molecules and antigens on a single molecule level. The structure, assembly and signalling for stable as well as dynamic IS, on such substrates, will be investigated. Mechano-transduction at IS will be probed by using soft substrates of tunable Youngs modulus. Advanced optical techniques will be developed for quantitative and dynamic mapping of proteins and the cell-cell interface topography. Quantitative reflection interference contrast microscopy, will permit characterization of adhesion of native cells without the need of a special labelling strategy. Our advanced substrates and observation techniques will open up new ways to probe inter-cellular adhesion in general and the immunological synapse in particular. The acquired knowledge will be used for fabricating a cell sensor device for diagnosing T-cell pathology.

Keywords: cell adhesion,immunological synapse,nano-bio surface functionalization,advanced microscopy
Geometric function theory, inverse problems and fluid dinamics (GFTIPFD)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Mathematical foundations
Countries involved: Spain
Call:  (ERC-2012-StG_20111012, 2012)
Start date: 2012-10-01
End date: 2018-09-30
Duration (months): 72.0
Total project cost (EUR): 1121400.0
EU funding (EUR): 1121400.0
Participants: 1
Project status: CLOSED

The project will strike for conquering frontier results in three capital areas in partial differential equations and mathematical analysis: Elliptic equations and systems, fluid dynamics and inverse problems. I propose to tackle the central problems in these areas with a new perspective based on the theory of differential inclusions. A thorough study of oscillating div-curl couples in this framework will lead us to the long expected higher dimensional version of the Tartar conjecture. The corresponding analysis of differential inclusions for gradient fields will lead to new results respect to the existence, uniqueness and regularity theory on the so far intractable theory of higher dimensional Beltrami systems. Next we will concentrate in weak solutions to the classical non linear equations governing fluid dynamics. A reformulation of these equations as differential inclusions enables a much more rich theory of weak solutions than the classical one. With this new tool at hand,we will close several long standing questions about existence, uniqueness and contour dynamics. The third part of the project is devoted to inverse problems in p.d.e. The most famous inverse problem is Calderón conductivity problem which asks whether the Dirichlet to Neumann map of an elliptic equation determines the coefficients. The problem is still open in three or more dimensions but a new formulation as a differential inclusion will allow us to close the 1980 Calderón conjecture by constructing new invisible materials. In dimension n=2 the recent approach based on quasiconformal theory will lead to the first regularization scheme valid for discontinuous conductivities and first results for non linear equations. For the stationary Schrödinger equation I propose to exploit a fascinating connection with the convergence to initial data of the non elliptic time dependent Schrödinger equation.

Keywords: quasiconformal mappings,calculus of variations,compensated compactness,quasiconvexity,weak solutions,differential inclusions,inverse problems,unique continuation,metamaterials,conductivity
Attosecond tracing of collective dynamics in clusters and nanoparticles (ATTOCO)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Fundamental constituents of matter
Countries involved: Germany
Call:  (ERC-2012-StG_20111012, 2012)
Start date: 2013-06-01
End date: 2018-05-31
Duration (months): 60.0
Total project cost (EUR): 1498500.0
EU funding (EUR): 1498500.0
Participants: 1
Project status: CLOSED

Collective electron motion can unfold on attosecond time scales in nanoplasmonic systems, as defined by the inverse spectral bandwidth of the plasmonic resonant region. Similarly, in dielectrics or semiconductors, the laser-driven collective motion of electrons can occur on this characteristic time scale. Until now, such collective electron dynamics has not been directly observed on its natural, attosecond timescale. In ATTOCO, the attosecond, sub-cycle dynamics of strong-field driven collective electron dynamics in clusters and nanoparticles will be explored. Moreover, we will explore field-dependent processes induced by strong laser fields in nanometer sized matter, such as the metallization of dielectrics, which has been recently proposed theoretically. In order to map the collective electron motion we will apply the attosecond nanoplasmonic streaking technique, which has been proposed and developed theoretically. In this approach, the temporal resolution is achieved by limiting the emission of high energetic, direct photoelectrons to a sub-cycle time window using attosecond XUV pulses phase-locked to a driving few-cycle near-infrared field. Kinetic energy spectra of the photoelectrons recorded for different delays between the excitation field and the ionizing XUV pulse will allow extracting the spatio-temporal electron dynamics. ATTOCO offers the capability to measure field-induced material changes in real-time and to gain novel insight into collective electron dynamics. In particular, we aim to learn from ATTOCO in detail, how the collective electron motion is established, how the collective motion is driven by the strong external field and over which pathways and timescale the collective motion decays. ATTOCO provides also a major step in the development of lightwave (nano-)electronics, which may push the frontiers of electronics from multi-gigahertz to petahertz frequencies. If successfully accomplished, this development will herald the potential scalability of electron-based information technologies to lightwave frequencies, surpassing the speed of current computation and communication technology by many orders of magnitude.

Keywords: strong-field nanophysics,attosecond physics,collective electron dynamics