Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Descriptive Complexity of Infinite Domain Constraint Satisfaction Problems (InfCSP)

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: Mathematics
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-07-01
End date: 2021-04-29
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

The constraint satisfaction problem (CSP) is a computational problem where the instance consists of a finite set of variables and a finite set of constraints, and the goal is to decide if there is a mapping from the variables to elements of some fixed domain of values satisfying all the constraints. Such problems are ubiquitous in different areas of computer science, including artificial intelligence, scheduling, computational linguistics, computational biology, and combinatorial optimisation. InfCSP will use mathematical tools to study the descriptive complexity of infinite domain constraint satisfaction problems. The main purpose of InfCSP is to understand the power of generic logic-based algorithms for CSPs with infinite domains of values. More precisely, we will analyse the class of CSPs parametrised by the type of constraints allowed in the instance in order to determine for which problems in this class the set of YES instances can be captured by a logical formula. The logics of interest will be Datalog and the first-order logic extended by a fixed-point operator, widely studied in the context of constraint satisfaction. The classifications will be obtained using methods from descriptive complexity, universal algebra and model theory. InfCSP will constitute a major step forward in understanding which infinite domain CSPs can be solved in polynomial time and developing new universal-algebraic tools for infinite domain CSP.

Keywords: infinite domain constraint satisfaction problem,descriptive complexity,datalog,fixed point logic,universal algebra
Modelling of thermal runaway propagation in lithium-ion battery packs (LiBTR)

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: United Kingdom,United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-11-03
End date: 2024-05-15
Duration (months): 24.0
Total project cost (EUR): 224933.77
EU funding (EUR): 224933.76
Participants: 2
Project status: SIGNED

Lithium-ion batteries (LIBs) are widely used in many applications, such as the customer electronics, electrifying transport and energy storage systems. However, despite endeavour and progresses, the number of incidents and recalls related to LIBs are far rising. Abuse operations can result in heat accumulation and consequent thermal reactions inducing failure and thermal runaway (TR), followed by fires and explosions. The TR of one single cell in a pack can trigger a reactions chain in adjacent cells. As a result, TR propagation will occur in the battery packs. The TR propagation initializing from single cell companied with the reactions chain can activate the TR of entire LIB packs and surroundings, resulting in catastrophic fire and explosion incidents. The proposed research aims to develop and validate a predictive tool for TR propagation in LIB packs based on LibFOAM the single cell TR model developed by the host and FireFOAM, the fire simulation solver of open source CFD code OpenFOAM. The following specific research objectives are set towards achieving this goal: ⁃ Calibrate LibFOAM for predicting the onset of TR in a single cell under different failure modes and establish the key influencing parameters; ⁃ Extend LibFOAM by coupling it with FireFOAM to predict the release of gases prior to and fol-lowing TR initiation in the triggering cell as well as the subsequent ignition and combustion of the released gases to obtain the resulting thermal environment within the cell groups; ⁃ Further extend LibFOAM to predict TR propagation in battery modules and packs; ⁃ Validated the extended LibFOAM with experimental data in the literature and data to be generat-ed by the ER’s home institution as well as proprietary data from the UK Health and Safety Exec-utive (HSE) in an ongoing collaborative project; and ⁃ Use the validated LibFOAM to investigate the effects of different mitigation measures to inhibit TR propagation.

Keywords: lithium ion batteries,electrifying transport,energy storage systems,thermal runaway,thermal runaway propagation,battery modules and packs,mitigation measures to inhibit tr propagation
Controllably Biodegradable Conductors for Robotic Tactile Skins (BioConTact)

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: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-04-01
End date: 2024-03-31
Duration (months): 24.0
Total project cost (EUR): 171473.28
EU funding (EUR): 171473.28
Participants: 1
Project status: SIGNED

BioConTact will engineer electrical conductors with a controllable biodegradability that are flexible, lightweight, scalable, and produced with readily available materials. The tunable degradation will be finely controlled through the material formulation. Thus, this unique technology will be indispensable for applications where long-term stability is crucial, such as robotic skin, or those requiring environmental control of degradation, such as bioresorbable transient electronics. These conductors will be assembled as human mimicking robotic skin for the iCub, the flagship open-source robot developed by the beneficiary, Fondazione Istituto Italiano di Tecnologia. The fellow will utilise his experience in the design of materials for sustainable electronics, exploit the supervisor’s and co-supervisor’s knowledge on biodegradation and robotic tactile sensors, and benefit from their excellent laboratories, Smart Materials and Humanoid Sensing and Perception, respectively. This research is motivated by the ever-growing need for sustainable and biodegradable materials for electronics. Consumer electronics are indeed pervasive in European society, with more than 230 million users. Yet, materials for electronics are not sustainable because of their scarcity, toxicity, and recycling complexity, which are detrimental for manufacturers, governments, and society. Besides, electronic wastes are accumulating globally and will reach a production rate of 120 million metric tons per year by 2050. Simultaneously, robotics, which are vital for a thriving European economy, are becoming omnipresent. Hence, the transition to sustainable and biodegradable alternatives to current electronics will boost the progress of environmentally friendly technologies in robotics. This transformation is in line with the 2030 European Sustainable Development Goals and the Horizon 2020 Societal Challenges program that promotes a greener and sustainable European society.

Keywords: flexible electronics,biopolymer,conductive ink,biodegradability,metallic particle,robotic skin,tactile sensor,degradable conductor,spray coating,sensor integration
Nanomaterials via Gas-Phase Synthesis: A Design-Oriented Modelling and Engineering Approach (NanoDome)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Cross-cutting and enabling materials technologies
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Italy,Belgium,United Kingdom
Call: Widening materials models (H2020-NMP-2014-two-stage, 2014)
Start date: 2015-09-15
End date: 2018-09-14
Duration (months): 36.0
Total project cost (EUR): 3999110.0
EU funding (EUR): 3999110.0
Participants: 6
Project status: CLOSED

The main objective of the NanoDome project is to develop a robust model-based design and engineering toolkit for the detailed prediction of complex nanomaterial structures produced in a commercially-relevant generic bottom-up Gas-Phase (GP) synthesis process, to improve the control of the nanomaterial production and the industrially-scalable GP synthesis process for more accurate final product properties (e.g. particle size, surface area, structure, chemical composition, morphology and functionalization coatings) and provide potential end-users with a validated tool based on scientific principles that enables predictive design of novel nanomaterials and novel GP production routes thereby shortening their development process. This will be pursued by combining computational modelling, software development and systematic validation activities at lab- and industrial-scale in a three-year project. Existing meso-scale nanomaterial GP synthesis modelling approaches (Lagrangian and stochastic) will be extended and integrated with continuum-scale reactor models to provide a fully functional single discrete mesoscopic model for the evolution of the nanoparticle population inside a control volume as a function of time, together with detailed description of nanoparticle composition and internal structure (e.g. core-shell, multi-layer, radially-dependent composition), particle interaction, coagulation and morphology. Industrial and lab-scale validation will focus on a set of target materials of great impact for the EU, using technologies currently at TRL4-6. The work proposed in the NanoDome project addresses the aforementioned challenges by delivering a modelling and analysis tool for the detailed prediction of complex nanomaterial structures formation in a single-step and industrially scalable GP synthesis process, in order to optimize existing processes, shorten the development of new processes and increase the production rates.

Keywords: nanoparticles,nanomaterial synthesis,nanostructures,mesoscale model,gas phase synthesis
Development of MODELICA Libraries for ECS and Thermal management architectures (MALET)

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: Spain,United Kingdom
Call: Development of MODELICA libraries for ECS and thermal management architectures (H2020-CS2-CFP01-2014-01, 2014)
Start date: 2016-03-01
End date: 2019-02-28
Duration (months): 36.0
Total project cost (EUR): 496691.25
EU funding (EUR): 496691.25
Participants: 2
Project status: CLOSED

The goal of this project is the development of Modelica libraries (Dymola compatible) to simulate Electrical Environmental Control System (E-ECS) architectures including thermal management perimeter. The efforts will be focused on developing an optimized model to simulate vapour cycle systems (VCS) and liquid loop systems at both steady state and transient operational conditions. In addition, an appropriate strategy will be adopted to couple the thermal and the electrical environments to achieve an integrated simulation of the complete architecture. E-ECS architectures include different cooling systems and electrical components which will be modelled within this project. The system/components to be modelled are: • Vapour cycle systems (VCS), including compressors, reservoirs, valves, heat exchangers, etc. • Liquid loop systems, including pipes, pumps, cold plates, heat exchangers, liquid and diphasic coolants, etc. • Air cycle systems, including compressors, turbines, air-to-air heat exchangers, fans, sprayers, etc. • Jet pumps • Electrical components, such as power electronics and electrical motors • Wing ice protection systems A multi-level approach will be considered given the object-oriented nature of Modelica. In general, components will be modelled based on their appropriate governing equations (e.g. conservation law of energy, mass and momentum), needed empirical information (e.g. heat transfer correlations), and needed relevant parameters (e.g. compressor efficiencies). However, the modelling will be carried out considering different levels of detail. For instance, heat exchangers will be modelled from simple lumped approaches (e.g. ε-NTU based) to more detailed distributed approaches (e.g. finite volume method).

Keywords: modelica libraries,electrical control system
PRoteome-based assessment of vascular disease for the Establishment of a Translational REsearch plATform (PRETREAT)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Austria,Germany,Greece,Greece,France
Call: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) (H2020-MSCA-RISE-2015, 2015)
Start date: 2016-01-01
End date: 2019-12-31
Duration (months): 48.0
Total project cost (EUR): 387000.0
EU funding (EUR): 387000.0
Participants: 5
Project status: TERMINATED

Cardiovascular disease (VD) is the leading cause of mortality and morbidity in Europe and worldwide. The objective of the PRETREAT consortium is to generate a joint SME/academic European preclinical platform for providing services for detection of VD and drug development. This platform will combine the use of urinary and/or blood peptidomics in humans and in preclinical animal models of VD, together with bioinformatics and systems biology, in order to better detect, stratify and decipher the molecular mechanisms of VD, develop new animal models with high similarity to human disease, and provide new tools for obtaining information on novel drug targets. PRETREAT builds on the FP7 project Sysvasc (systems biology to identify molecular targets for vascular disease treatment, 2014-2018) and the combined expertise of the PRETREAT partners in clinical proteomics, proteomics, animal models and system medicine as the pillars to implement this platform. The work will be carried out in an extensive exchange program totaling 27 secondments. Main objectives during the secondments include establishment of the link between urinary markers and the pathophysiology of VD, identification of additional animal VD models with similarity to human VD, development of “humanized” body fluid readouts in VD models, establishment of a VD protein-centric database in order to automatically link urinary peptides to in situ changes and provide information on drug targets, and provide proof-of-concept of the utility of the proposed platform. These secondments will in parallel serve to keep information flowing within the project, increase individual research efficiency and create a multi-disciplinary working chain, train personnel, and prepare the sustainability of the results after the project. To complete training, 3 monthly webinars and four workshops are planned.

Keywords: biomarkers,preclinical and clinical platform,translational animal models,protein centric molecular maps,prediction
SupercompuTing And Related applicationS Fellows Program (STARS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Co-funding of regional, national and international programmes (COFUND)-Fellowship programmes
Action type: Marie Skłodowska-Curie actions
Countries involved: Spain,Italy,Spain,Sweden,Belgium,France,Denmark
Call: Co-funding of regional, national and international programmes (H2020-MSCA-COFUND-2016, 2016)
Start date: 2018-01-01
End date: 2023-12-31
Duration (months): 72.0
Total project cost (EUR): 2832000.0
EU funding (EUR): 1416000.0
Participants: 8
Project status: SIGNED

The BSC STARS (SupercompuTing And Related applicationS) International Research Fellows program aims at fostering the training of highly skilled post-doc in all fields of High Performance Computing and related applications, specifically in Earth Science and Meteorology, in Life Sciences, Genomics and Personalised Medicine and in Computational Engineering and Physics and Computational Societies, providing them with all the necessary tools for developing their potentials, deepening their skills and knowledge in a stimulating, international and interdisciplinary environment, offering them intersectorial secondments with private industry or non-academic Research centers, in order to boost their career perspectives as successful independent researchers.

Keywords: high performance computing,earth science,meteorology,genomics,fluid mechanics,vizualization,training
Time-resolved Molecular Selfies (TiMoleS): Visualising molecular dynamics in real time (TiMoleS)

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: Physics
Countries involved: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-09-01
End date: 2022-08-31
Duration (months): 24.0
Total project cost (EUR): 219312.0
EU funding (EUR): 219312.0
Participants: 1
Project status: CLOSED

A chemical reaction is often an unsolved maze game: we know where it starts and ends, but the path followed is a question that remains. Time-resolved imaging of molecular dynamics, therefore, is of primary interest. To solve aforementioned, we miss a sub-Ångström spatial and sub-femtosecond temporal resolution imaging scheme that can probe both nuclei and electrons. In this project TiMoleS, I propose to lay the theoretical and conceptual groundwork for such an imaging tool that can monitor molecular reaction and accompanying electron dynamics. This will be done by letting the target molecule to image by itself via two coexisting strong field processes termed laser-induced electron diffraction and laser-induced electron holography. I intend to use these processes in a complementary way to image nuclear dynamics as well as the electron cloud evolution. Through well-organized work packages for rigorous theoretical and computational developments and by collaborating with specialists of the domain, I propose to surmount difficulties linked with these processes to realize ultrafast imaging. I will develop analytical models, numerical codes and optimal control schemes to come up with rather general imaging method for AB/AB2 molecules. It will give an excellent insight into photochemical reactions, various reaction pathways and control over reaction dynamics, like enhancing the desired reaction or even to prevent an undesired process. These control scheme developed for generalized probing of the dynamics will also accelerate our attempts to design ultrashort lasers in higher frequencies.

Keywords: time resolved imaging,strong field physics,laser induce electron diffraction,laser induced electron holography
A Novel Technology to Reduce Industrial Dust Pollution and to Enable Most Efficient Energy Recovery (DUSTCOMB)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: SME instrument
Countries involved: Finland
Call: Boosting the potential of small businesses in the areas of climate action, environment, resource efficiency and raw materials (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2018-04-01
End date: 2020-03-31
Duration (months): 24.0
Total project cost (EUR): 2233750.0
EU funding (EUR): 1563625.0
Participants: 1
Project status: CLOSED

Industrial air pollution is a major health risk, which causes 400 000 premature deaths each year in the EU. Another 6.5 million people fall sick as air pollution causes diseases such as asthma and bronchitis. Manufacturing industry is one of the biggest air polluters which is why the sector needs to tackle the issue by more effective and accessible industrial dust extraction solutions. Filtra Group Oy has developed an innovative industrial dust extraction technology, Dustcomb that complies with the current air quality regulations and enables 80% cost-cutting compared to technology used at industrial plants at the moment. Around 200 000 industrial plants globally are affected by new emission norms and need to install advanced filtration units in the coming years. Dustcomb has already conducted operational tests in SSAB steel plant. The results confirmed that our innovative fluid dynamics phenomena based solution meets all required emission standards and brings significant savings for the plant. In addition, our solution´s excellent cost-efficiency ratio, retrofitting compatibility, wide operating temperature tolerance, low maintenance costs, and other key benefits will ensure fast market uptake globally. We have already reached preliminary agreements with potential clients in Europe and Asia via our industrial partners. We will generate our revenue from Dustcomb sales and regular maintenance. By 2023, we plan to reach annual installation capacity of 200 Dustcomb units, which leads to approximately €100 million turnover and 300 new jobs in the value-chain. We have secured all necessary resources and have an experienced team to finalize our technology development and evolve to sales-oriented emission control solutions provider. The SME phase-2 project enables us to: 1. complete our development phase, 2. create replicable concepts for scale-up, 3. pilot the solution in leading steelmaking plant and 4. start our global commercialisation phase

Keywords: particulate matter,air quality,industrial emissions,dust extraction,airflow