Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Enhancing the innovation management capacity of SME's with the Enterprise Europe Network Canarias 2015-2016 (E3Canarias 2015-2016)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Spain,Spain
Call: Enhancing the innovation management capacity of SMEs (H2020-Adhoc-2014-20, 2014)
Start date: 2015-01-01
End date: 2016-12-31
Duration (months): 24.0
Total project cost (EUR): 91241.44
EU funding (EUR): 72993.15
Participants: 4
Project status: CLOSED

The E3Canarias 2015-2016 project aims at continuing the activities carried out in 2014 under E3Canarias project, enhancing the innovation management capacity of the Canary Islands’ SMEs through the delivery of 7-day service packages, targeted to the most innovative small and medium size companies in the islands, as well as giving support to the Canary Island beneficiaries of the HORIZON 2020 dedicated SME instrument, as Key Account Manager (KAM). These 7-day service packages will be delivered to the Canary Islands’ SMEs that have already been active in different innovation and internationalization activities, with significant innovation activities and a high potential for internationalization. A minimum of 30 SMEs up to 50 SMEs will be mentored, combining two services: - A minimum of 30 service packages on enhancing the innovation management capacities of SMEs. The service could be increased to approximately 43 service packages depending on the companies’ ambition, motivation and resources availability. - A maximum of 5 beneficiaries of the HORIZON 2020 dedicated SME instrument phase 1, and 2 beneficiaries of SME instrument phase II. For the delivery of these services, 2 staff members have been trained for innovation management via the IMP3rove-Academy in 2014. In the following years these 2 staff members will receive a more advanced training from IMP3rove-Academy and 2 other staff members will also be trained.

Keywords: innovation,management
III-Nitrides Nanostructures for Energy-Efficiency Devices (In-Need)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Switzerland
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-02-01
End date: 2021-01-31
Duration (months): 60.0
Total project cost (EUR): 1750000.0
EU funding (EUR): 1750000.0
Participants: 1
Project status: CLOSED

Energy efficiency offers a vast and low-cost resource to address future energy demand while reducing carbon dioxide emissions. The unique properties of III-Nitride semiconductors make them the ideal material for future energy challenges. Their outstanding optical properties are revolutionizing the world with efficient LED light bulbs. Even greater impact is anticipated for power electronics. The much larger Baliga’s figure of merit of GaN compared to SiC and Si enables drastically more efficient power switches, which are at the heart of any energy generation/management system. However, current III-Nitride device performance is far from the fundamental materials capabilities, and severe thermal management and reliability limitations hinder their full potential for energy-efficiency. The In-Need proposes a unique approach to address concurrently all current challenges based on advanced nanostructures designed to optimally exploit the superior properties of the new bulk GaN materials. Nanostructuring distinct regions of the device will allow a precise control over their intrinsic characteristics. To address reliability issues and yield unprecedented device performance, these nanostructures will be combined to the excellent properties of bulk GaN. This will open opportunities for new vertical devices, enabling smaller structures with larger voltages and higher efficiencies. Efficient thermal management will be achieved with ultra-near junction cooling. Nano/micro-channels filled with high thermal conductivity materials or coolants will be embedded inside the device. We believe our judicious nano-scale design of new high-performing materials will result in state-of-the-art devices, leading to a large-scale impact in energy efficiency. The miniaturization and large power density enabled by our approach will allow future integration of power devices into single power microchips. This will revolutionize energy use much like Silicon microchips did for information processing.
Exploring Thermoelectric and Spintronic properties of Molecular Devices (TherSpinMol)

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: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-10-01
End date: 2019-09-30
Duration (months): 24.0
Total project cost (EUR): 177598.8
EU funding (EUR): 177598.8
Participants: 1
Project status: CLOSED

The development of wearable and diffuse electronics has prompted a global need for converting heat into electrical power. This could be heat from reactors, the sun, or even the human body. Thermoelectric materials are ideal candidates, since they contain no moving parts, can be fabricated as thin films and are scalable. However, they currently see only niche application, owing to their very low efficiency. Bulk materials offer little room for progress: the ingredients to reach high efficiencies are mutually contradictory in the bulk. In contrast, theory clearly indicates that molecular nano-materials do not suffer from such constraints and may provide a solution. In TherSpinMol I will develop the first molecular thermoelectric devices ever, and, in a groundbreaking effort, I will establish the experimental foundations for molecular spin-caloritronics. To this end I will explore the thermoelectric and Spintronic properties of molecular electronic nanodevices constituted by graphene bulk electrodes with a single molecule sandwiched in between. I will use a novel device architecture consisting of micro-heaters next to the device and different functional contact metals. By this means I get access to the thermoelectric and spin-calorimetric properties of cross-conjugated molecules, fullerenes and single-molecule-magnets with the final goal to explore the Seebeck and spin-Seebeck effect in those systems. Superconducting contacts will be used to measure the absolute spin-polarisation of the tunnel current through single-molecule-magnets. The project has fundamental and applicative significance, aiming at exploring both the physics background of Fano resonances and novel ways to create pure spin-currents and their perspective applicability for the reduction of energy consumption in logic elements and energy harvesting.

Keywords: quantum interference,fano resonance,seebeck effect,spin seebeck effect,molecular,electronics
HeaVen - Venezuelan migration, human rights and intersectoral strategies: Towards a new right to primary health care for irregular migrants in Colombia (HEAVEN)

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: Social Sciences and Humanities
Countries involved: Colombia,United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-10-01
End date: 2024-03-31
Duration (months): 30.0
Total project cost (EUR): 211794.24
EU funding (EUR): 211794.24
Participants: 2
Project status: SIGNED

HEAVEN’s key objective is to conceptualize the right to primary health care (PHC) for irregular migrants—a right that is relevant to law and policy at different levels of governance. To do this, HEAVEN uses Venezuelan migration in Colombia as a case study, applying sociolegal tools to expand human rights law methodologies and catalyse the synergies between human rights and public health standards to promote healthier communities. It will focus in particular on creating new knowledge on state and non-state actors’ complementary roles in implementing legal obligations regarding the right to health of vulnerable migrants that are consistent with a PHC approach. In order to generate this global challenge-responsive knowledge, the researcher will—for the first time—deploy his full skillset, which spans legal practice, NGO volunteer work, and academic research and communication skills. In combination, he will expand that skillset through HEAVEN’s affiliation with two leading human rights law schools in two different world regions: Queen’s University Belfast (QUB) and Universidad del Rosario (UR). His home at QUB will be the Health & Human Rights Unit, the first such unit in a top 20 UK law school; at UR, he will be integrated into the law school’s Human Rights Research Group, which is a centre of excellence for research on gender and migration certified by the Colombian Ministry of Science and Innovation. Both groups and the broader hosting environments will support the researcher’s skills acquisition and training plan, and provide pathways for the project’s impact and diverse outputs. In line with the goal of IFs, HEAVEN will facilitate the researcher’s international mobility, enabling him to develop new networks for skills development, establish himself on a fast track to a leadership position spanning scholarly and policy communities, and contribute to the challenge of managing mass migration in a way that secures public health and respects human rights.

Keywords: irregular migration,venezuelan diaspora,vulnerability,non discrimination,equality,core obligations,development cooperation,public health,primary health care,development
Multiscale Investigations on Si-integrable Ferroelectric Hafnia-Zirconia Systems: From Fundamental Understanding to Everyday Electronics (FERHAZ)

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: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-05-01
End date: 2020-04-30
Duration (months): 24.0
Total project cost (EUR): 165598.8
EU funding (EUR): 165598.8
Participants: 1
Project status: CLOSED

Everyday electronic devices suffer from power-loss issues originating from leakage currents in the stand-by (OFF) mode, which dominate even more with miniaturization of transistors. The concept of negative capacitance on ferroelectric (FE) materials, and consequently ferroelectric field-effect transistor (FEFET) provides a materials solution to achieve sharp-switching in FETs, and promises to be a breakthrough solution to reduce this OFF state leakage. The recent demonstrations of ferroelectricity in thin (<10 nm) Hafnia-based (HfO2) films, which are readily Si integrable is an encouraging news for FEFET technology. FEFETs have earlier eluded industrial applications owing to Si compatibility issues of well-known FE materials. FERHAZ tackles this new kind of ferroelectricity, starting from fundamental studies on its origin leading upto application oriented FEFET devices. In FERHAZ, HfxZr1-xO2 (HZO) films with varying Zr content (x, doping) will be grown epitaxially on various substrates (strain-states) including Silicon, under various oxygen partial pressures (point-defects). The FE hysteresis, dielectric and piezoelectric response on these films will be measured, and will be correlated with atomic structure, symmetry, microstructure and chemistry analysis obtained via high-resolution STEM and spectroscopy. The best FE films on Si will be selected to study the phase-competition, FE and piezoelectric behavior in real time under strain and electric field via in situ TEM measurements. Lessons from these fundamental multiscale studies will be employed in the fabrication and optimal design of FEFET with small leakage. FERHAZ will integrate my expertise on in situ microscopy with the extensive experience of the host-lab in FE thin-film growth and characterization. Importantly, the skills and training obtained will enable me to position myself as a leading young scientist in materials science, strengthening my career prospectives to be a future group leader.

Keywords: in situ electron microscopy,ferroelectricity,hafnia,fefet,negative capacitance,static power leakage,epitaxy,strain,point defects,doping
MULTILEVEL INTERVENTIONS TO PROMOTE MENTAL HEALTH IN SMEs AND PUBLIC WORKPLACES (H-WORK)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Preventing disease
Action type: Research and Innovation actions
Countries involved: Italy,Italy,Germany,Spain,Spain,Germany,Belgium,Norway,Sweden,Czechia,Netherlands,United Kingdom
Call: Mental health in the workplace (H2020-SC1-2019-Two-Stage-RTD, 2019)
Start date: 2020-01-01
End date: 2023-09-30
Duration (months): 45.0
Total project cost (EUR): 3987000.0
EU funding (EUR): 3987000.0
Participants: 15
Project status: SIGNED

Recent reports indicate an increase in mental health problems among the general EU population in recent years. Small and Medium-sized Enterprises (SMEs) and public organisations are particularly vulnerable as they have often scarce knowledge and resources to effectively manage workers’ mental health and wellbeing. The general aim of the H-WORK project is to design, implement and validate effective multi-level assessment and intervention toolkits providing new products and services to promote mental health in public organisations and SMEs, evaluate individual and organisational outcomes of the adopted measures, and provide recommendations for employers, occupational health professionals and policymakers. The project aims to design, implement and exploit an integrated toolkit (H-TOOLS) which will provide managers and CEOs to effectively assess organisational psychosocial risk (HAT), implement the most appropriate interventions (HIT), and evaluate individual and organisational outcomes of the adopted measures (HET). Implementation of the H-WORK Toolkits will occur in ten intervention sites across five European countries, including five public organisations (healthcare, higher education, governmental) and five SMEs. Moreover, the data and experience generated during the implementation process will allow for development of further H-WORK products and services. Specifically, H-WORK will design, test and deploy the H-WORK Innovation Platform which will include novel digital services such as Benchmarking Calculator and Decision Support System that will facilitate the spread and uptake of the H-WORK solutions across Europe, and ensure the long-term sustainability of the project outcomes. The H-WORK project will significantly contribute to coordinated strategies for occupational health and safety and will foster health, social and economic prosperity in the EU.

Keywords: mental health,workplaces,healthcare,positive psychology,public sector,smes,job demands,job resources,well being,productivity
The self-teaching brain (BrainPlay)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Synergy grants
Action type: ERC actions
Countries involved: Germany,Switzerland
Call: ERC Synergy Grant (ERC-2018-SyG, 2018)
Start date: 2019-08-01
End date: 2026-01-31
Duration (months): 78.0
Total project cost (EUR): 9781250.0
EU funding (EUR): 9781250.0
Participants: 3
Project status: SIGNED

Our goal is to uncover the learning algorithms that subserve biological intelligence and to discover how they are implemented in the brain. We take for granted that biological intelligence results from neural information processing, that neural information processing is based on the transmission of action potentials through synapses, and that learning is realized through synaptic plasticity. We are inspired by two key observations: Firstly, we know that biological learning unfolds in ways different from mainstream machine learning that relies on learning from large labeled datasets. Second, we discovered that the engagement of the brain during play can result in unexpected and profound cognitive benefits. This proposal describes an untravelled route to the learning algorithms of the brain that runs through the no-man’s-land between synaptic physiology, systems neuroscience, cognitive neuroscience, theoretical neuroscience and machine learning. Our approach focuses on the self-teaching abilities of the mammalian brain and covers and connects four major topics: (1) the objective functions that govern synaptic plasticity, (2) the teaching signals through which learning is steered, (3) behavioral mechanisms of self-teaching, in particular play behaviors, (4) the brain states that engage self-teaching behaviors, in particular the brain state of play. The BrainPlay grant will study self-teaching abilities from synapses to brains, from computational theory to action video games. As gaming has been shown to be highly beneficial for human brain function, we are intrigued by how little we know about what is going on in playing brains and how the brain state of play shapes learning. Engaging the latest theoretical and technological breakthroughs, BrainPlay will reach far beyond mainstream neuroscience and embrace and elucidate playfulness and self-teaching as important components of the brain's learning algorithms.

Keywords: play,supervised learning,unsupervised learning,synaptic plasticity
2D Materials/Polyoxometalate Hybrids for Heritage Conservation (HeriCare)

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: 2019-10-16
End date: 2021-10-15
Duration (months): 24.0
Total project cost (EUR): 160932.48
EU funding (EUR): 160932.48
Participants: 1
Project status: CLOSED

Protecting cultural heritage objects from biodeterioration and biodegradation is a major challenge faced by European society due to the implications in identity, economy and history. The aim of the HeriCare project is to create & expand a library of transparent hybrid materials composed of polyoxometalates & two-dimensional (2D) materials to be used in heritage conservation. This is the first time that such hybrids will be explored for this type of application and this project is expected to generate a broad impact on the fields of materials science and conservation. Moreover, selected hybrids will be incorporated to modern paper to provide ultra-resistant properties against biological contaminants for future heritage. The implementation of this multidisciplinary and multi-sectoral project is expected to boost the personal career of the candidate by completing his knowledge about chemistry synthesis and acquiring a whole new set of research skills related to microbiology, biochemistry and cultural heritage. Furthermore, a multidisciplinary network will be created via long research visits to the conservation department of the library of the Spanish Royal Botanic Gardens and a short visit to a Restoration School (Huesca, Spain), which are expected to provide a concise insight into conservation work and the state-of-the-art of cultural heritage preservation techniques and products. In return, the candidate will transfer his expertise on 2D materials to the hosting and the research visit groups, which is expected to open new research lines and future collaborations in the field of novel antimicrobial materials. Finally, the project management and additional activities such as courses, coaching and dissemination will provide key skills for financial management, communication, research development and mentoring, which will prepare the candidate for his career as a fully independent researcher and team leader.

Keywords: 2d materials,polyoxometalates,biodeterioration,antimicrobial,restoration,conservation
Data Driven Computational Mechanics at EXascale (DComEX)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Public-private partnerships
Destination: European High Performance Computing
Action type: Research and Innovation actions
Partnership: EuroHPC (Art-187)
Countries involved: Germany,Cyprus,Switzerland,Greece
Call: Extreme scale computing and data driven technologies (H2020-JTI-EuroHPC-2019-1, 2019)
Start date: 2021-04-01
End date: 2024-03-31
Duration (months): 36.0
Total project cost (EUR): 2981250.0
EU funding (EUR): 1359375.0
Participants: 5
Project status: SIGNED

DCoMEX aims to provide unprecedented advances to the field of Computational Mechanics by developing novel numerical methods enhanced by Artificial Intelligence, along with a scalable software framework that enables exascale computing. A key innovation of our project is the development of AI-Solve, a novel scalable library of AI-enhanced algorithms for the solution of large scale sparse linear system that are the core of computational mechanics. Our methods fuse physics-constrained machine learning with efficient block-iterative methods and incorporate experimental data at multiple levels of fidelity to quantify model uncertainties. Efficient deployment of these methods in exascale supercomputers will provide scientists and engineers with unprecedented capabilities for predictive simulations of mechanical systems in applications ranging from bioengineering to manufacturing. DCoMEX exploits the computational power of modern exascale architectures, to provide a robust and user friendly framework that can be adopted in many applications. This framework is comprised of AI-Solve library integrated in two complementary computational mechanics HPC libraries. The first is a general-purpose multiphysics engine and the second a Bayesian uncertainty quantification and optimisation platform. We will demonstrate DCoMEX potential by detailed simulations in two case studies: (i) patient-specific optimization of cancer immunotherapy treatment, and (ii) design of advanced composite materials and structures at multiple scales. We envision that software and methods developed in this project can be further customized and also facilitate developments in critical European industrial sectors like medicine, infrastructure, materials, automotive and aeronautics design.

Keywords: data driven computational mechanics,exascale computing,manifold learning,fault tolerance,scalability,heterogeneous cpu gpu computing,bayesian analysis,uncertainty quantification