Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Theoretical Methods for Better Core Level Photoelectron Spectroscopy (THEOCORPES)

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: Estonia
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-08-01
End date: 2023-08-30
Duration (months): 24.0
Total project cost (EUR): 154193.28
EU funding (EUR): 154193.28
Participants: 1
Project status: SIGNED

Core level X-ray Photoelectron Spectroscopy (XPS) is one of the most widely used experimental techniques in surface science and surface analysis. However, the interpretation of recorded spectra is challenging. Often the amount of chemical insight that XPS can provide is compromised by problems with assigning detected “peaks” to specific chemical environments. Theoretical modelling can provide an alternative means for determining the spectroscopic signature associated with a given chemical environment, and could therefore be used to overcome the long-standing peak-assignment problem. In this project, the accuracy of existing theoretical methods for guiding the interpretation of XPS spectra will be tested, and new methods for predicting satellite peaks and simulating vibrational effects in core level XPS will be developed. In particular, the accuracy of the Δ-Self-Consistent-Field (ΔSCF) method will be tested for solids and surface species; the ΔSCF method will be combined with Time-Dependent Density Functional Theory (TDDFT) to predict satellite structures in core level photoemission spectra; and a fully quantum mechanical method based on the Density Functional Theory (DFT) and normal mode analysis will be developed for the simulation of vibrational effects in XPS. Through the testing and development of computationally affordable theoretical methods, this study will provide impetus and justification for users of XPS to take full advantage of theoretical modelling when interpreting their experimental results. Several dissemination and communication activities have been planned to ensure that the theoretical work will reach its inteneded audience and ultimately help XPS users from a wide range of fields to gain greater insight into the systems that they study.

Keywords: theoretical spectroscopy,surface analysis,computational materials science
Lightweight, Compact and Low-Cost Hydrogen Fuel Cell (EHSTACK)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Switzerland
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2019)
Start date: 2020-02-01
End date: 2022-03-31
Duration (months): 26.0
Total project cost (EUR): 2733750.0
EU funding (EUR): 1480000.0
Participants: 1
Project status: CLOSED

EH Group Engineering (EHG) aims to become a leading player in the emerging hydrogen economy. This is via the commercialisation of a low temperature fuel cell (FC) based on a radical new design and the development of a transformative manufacturing technique that dramatically reduces costs: - A uniquely simplified and re-designed FC stack at the micro level, making it significantly more compact, lightweight and efficient. It also simplifies the overall FC system architecture by reducing or eliminating auxiliary components, making it more efficient and cheaper. It delivers a power density of 1.5 times leading competitors’ products. - A completely new concept of fuel cell stack design and assembly with high micro precision, integrating proprietary machinery that will enable the production at scale of a 30kW stack in less than a minute at a cost of less than 100EUR/kW (currently over 1,000EUR/kW). Radical cost reduction in fuel cell by process innovation in production with a sharply lower capex. - Our FC technology can operate with minimal effects of gravity and in any orientation, making it a great candidate in the automotive sector as a power generator. EH Group is focused on B2B; equipment manufacturers purchasing our FC to integrate them into their product offerings. Two patents have been filed with further three planned for late 2019. Our leadership team combines more than 50+ years of collective expertise in the field of engineering, fuel cells, low/high temperature materials, institutional finance and entrepreneurship. The fuel cell market has been expanding at 25-40%p.a. in stationary and mobile applications, and is projected to reach 25bio USD by 2025. The electrification of heavy transport, such as buses, trucks and maritime vessels where batteries cannot compete on range, weight and refueling time are strong candidates for the deployment of our technology, as we forge towards the imperative of a low carbon future.

Keywords: hydrogen,fuel cells,pem fuel cells,pemfc,fc electric vehicle,fcev
Evaluation of a patient-centred biopsychosocial blended collaborative care pathway for the treatment of multi-morbid elderly patients (ESCAPE)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Active ageing and self-management of health
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Germany,Germany,Germany,Ireland,Italy,Germany,Ireland,Hungary,Lithuania,Sweden,Belgium,Denmark,Denmark
Call: Healthcare interventions for the management of the elderly multimorbid patient (H2020-SC1-2020-Two-Stage-RTD, 2020)
Start date: 2021-04-01
End date: 2025-09-30
Duration (months): 54.0
Total project cost (EUR): 6101206.2
EU funding (EUR): 6101206.2
Participants: 16
Project status: SIGNED

ESCAPE will rethink current practice for treating multimorbidity in elderly patients and break down health care silos that impede integrated care and lead to adverse outcomes. We will coordinate and optimise care, prioritising integration of treatment for mental distress and disorders in the treatment of multimorbidity. Our interdisciplinary multinational consortium of experts from general and hospital medical practice and psychology, health economics, ICT development and social innovation as well as patient and informal carer representatives, will develop a holistic, patient-centred intervention based on the blended collaborative care (BCC) approach and enhanced by cutting-edge information and communication technologies. Trained Care Managers will work closely together with the patient’s general practitioner under supervision of a Clinical Specialist Team. They will use a meta-algorithm integrated in the interactive imergo® e-health Integrated Care Platform to customise patients’ treatment to their individual needs and preferences and liaise among providers. The platform will also empower patients and informal carers to increase their intrinsic capacities. ESCAPE as a social innovation will decrease disease burden for patients, informal carers and ultimately society and improve their quality of life (QoL), prioritised as the most important treatment outcome by patients, carers, and multimorbidity guidelines. ESCAPE will conduct for the first time a randomised controlled trial embedded in a comprehensive cohort study design to compare BCC and usual care. We will include patients with heart failure, ≥2 medical comorbidities and psychological distress. The primary effectiveness endpoint will be patients’ health-related QoL. Medical outcomes, cost-effectiveness, and several other patient-relevant outcomes will be secondary endpoints. We will apply an active dissemination and exploitation strategy to derive maximum impact from the new pathway for multimorbidity care.

Keywords: integrated care,multimorbidity,patient centred care,depression,behavioral medicine,holistic treatment,mental health,psychosomatic
Business Innovation Support Network for the Czech Republic – Enhancing the innovation management capacities of SMEs by EEN in 2019 (BISONet PLUS3 ENH)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Czechia,Czechia,Czechia,Czechia
Call: EEN H2020 SGA3 (H2020-EEN-SGA3-2018, 2018)
Start date: 2019-01-01
End date: 2019-12-31
Duration (months): 12.0
Total project cost (EUR): 70259.0
EU funding (EUR): 70259.0
Participants: 6
Project status: CLOSED

BISONet PLUS3 ENH project aims at enhancing innovation capacities of Czech SMEs – Czech SME Instrument beneficiaries and Czech SMEs with high potential for growth. Consortium implementing the project is composed of 2 EEN partner organisations – TC AV CR being the coordinator and JIC being a partner of the project. TC AV CR and JIC will deliver both type of services „Key Account Management services for SME Instrument beneficiaries“ and service „Enhancing innovation management capacities of SMEs“. The total number of service packages to be delivered within the BISONet PLUS3 ENH project is 42 – 38 service packages is dedicated for „Enhancing innovation management capacities of SMEs“ and 4 for delivering KAM services to SME Instrument, FTI, FET Open beneficiaries. The tool to be used to identify needs of SMEs and gaps in innovation management will be „smE-MPOWER Business Innovation Roadmap methodology”.

Keywords: innovation management,sme instrument,enterprise europe network,smes
Business scale up of an AI tool for the optimal design of power converters (FRENETIC)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2020)
Start date: 2020-06-01
End date: 2022-05-31
Duration (months): 24.0
Total project cost (EUR): 1516250.0
EU funding (EUR): 1061375.0
Participants: 1
Project status: CLOSED

Industrial manufacturers of electronic devices face the problem of redesigning the power electronics for each new product that is going to be launched to the market. In this process, the bottleneck is the design of the magnetic components that are present in the power converters. The design of the magnetics takes around 6 months on average and the resulting designs are almost never satisfactory. Surprisingly, the same design methods have been used for the last decades. These methods generate delays and excessive costs during the manufacturing process and hold back the advancements in power electronics. SP Control is a company specialized in providing solutions for industrial companies to improve their processes. Our software FRENETIC, based on our proprietary AI technology, has attained great interest in the power converters market due to its capacity to achieve optimal designs for magnetics in just a few hours versus the current 6 months, meaning a design time reduction of nearly 100%. As a result, it allows to reduce the manufacturing costs and size by half. A minimum viable version of FRENETIC is being commercialised in a software design service model entering the power electronics market and bringing great benefits to our clients. Our objective is to disrupt the power electronics market with the first solution that will allow the industrial companies to obtain optimal designs for their magnetics in a matter of hours, reducing their manufacturing costs and their time-to-market. In order to take the fully evolved version of FRENETIC to the market, we need to scaleup our business model and demonstrate its value in a fully operative environment. In a market which value in 2023 has been estimated in €46 billion, the successful market uptake of our innovation represents a breakthrough in industrial design and a great business opportunity as large as €5 billion.
Microscopic Active Particles with Embodied Intelligence (MAPEI)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Sweden
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): 1992636.0
EU funding (EUR): 1992636.0
Participants: 1
Project status: SIGNED

Over billions of years of evolution, motile organisms have developed complex strategies to survive and thrive. These strategies integrate three components: sensors, actuators, and information processing. In the last two decades, active-matter research has tried to replicate the evolutionary success of microorganisms in artificial systems. Researchers have replicated the actuators by developing artificial active particles that extract energy from their environment to perform mechanical work and, to a lesser extent, the sensors, by making these active particles adjust their motion properties to physical cues. However, these artificial particles are still largely incapable of autonomous information processing, which is limiting the scientific insight and technological applications of active matter. The main challenges are: 1. Make active particles capable of autonomous information processing. 2. Optimize the behavioral strategies of individual active particles. 3. Optimize the interactions between active particles. Drawing inspiration from Nature, this project will take the next steps in the evolution of artificial active matter systems by endowing them with embodied intelligence and autonomous information processing abilities. Specifically, it will: 1. Realize microscopic active particles with embodied intelligence (microbots). 2. Use embodied intelligence to achieve optimal behaviors for the microbots. 3. Use embodied intelligence to engineer interactions between microbots. I will achieve this by combining my background in mesoscopic physics and microfabrication with machine learning, a new research direction that offers radically different and complementary opportunities. This project will provide scientific insight into far-from-equilibrium physics and lay the foundations for ground-breaking applications empowered by microbots that are able to autonomously sense and react to their microscopic environment.

Keywords: active matter,far from equilibrium physics,microparticles
Optical strategies to investigate NMDA receptor functional diversity and its therapeutic potential (OptoNMDA)

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: Life Sciences
Countries involved: France
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-04-01
End date: 2018-07-21
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 185076.0
Participants: 2
Project status: CLOSED

NMDA receptors (NMDARs) form a class of receptors gated by glutamate, the major neurotransmitter in the mammalian brain. These receptors play fundamental roles in synaptic transmission and plasticity. They are also involved in numerous pathologies including stroke, mental retardation or schizophrenia. NMDARs are thus targets of strong therapeutic interest. NMDARs are tetramers usually composed of two GluN1 and two GluN2 subunits encoded by four different genes (GluN2A-D), resulting in a large number of receptor subtypes having distinct anatomical, biophysical, pharmacological and signalling properties. Understanding the functional role of these individual subtypes in the brain is of great importance to develop new strategies to counteract the deleterious effects of NMDAR dysregulation. However, tools allowing targeting of a specific population of NMDARs in a given neuronal circuit are currently lacking. The OptoNMDA research programme proposes the development of an innovative optical approach to selectively enhance the activity of NMDARs containing the GluN2B subunit (GluN2B-NMDARs) in ex vivo and in vivo preparations. This approach consists in developing photo-convertible polyamine derivatives that can reversibly isomerize between an inactive and active configuration with light to act on the GluN2B-NMDAR polyamine allosteric modulating site in a precise spatio-temporal manner (opto-allostery). I will study the physiological and potential therapeutic roles of these compounds by testing their effects on synaptic transmission and plasticity and on genetic models of NMDAR hypo-function. Compared to previous studies targeting orthosteric (competitive) sites, the opto-allostery approach will allow manipulation of NMDARs in a more specific and physiological manner. This project should thus provide critical novel information on NMDARs, and more generally, on the physiology and pathology of excitatory synapses.

Keywords: optogenetics,nmda receptors,glutamate,ion channel,neurosciences,allostery,pharmacology,polyamines,synaptic transmission,synaptic plasticity
Development of chemical methods for DNA N6-methyladenine mapping (N6MeA ChemSeq)

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: 2018-04-19
End date: 2020-04-18
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Herein, I propose to develop and adapt chemistry for the selective modification and tagging of N6-methyladenine (N6MeA) in the context of a DNA strand. Two promising chemical strategies will be applied, for which I have already established proofs-of-concept of efficiency and selectivity on DNA monomers (2'-deoxynucleosides and nucleotides). Once such a specific chemical labelling protocol has been optimised, I will use it to map N6MeA in genomic DNA with two different approaches: 1) by chemical pulldown of N6-methylated DNA fragments, sequencing of the enriched fragments, and alignment to a reference genome to generate a low-resolution N6MeA map. 2) By analysing the influence of the introduced tags and modifications on the PCR outcome and take advantage of their stalling of polymerases. The expected outcome is a first chemistry-assisted mapping of N6MeA. As for the chemical tagging of 5-formylcytosine (5fC) and 5-hydroxymethyluracil (5hmU), or oxidative and reductive bisulfite sequencing to sequence 5fC and 5-hydroxymethylcytosine (5hmC), all developed in the proposed host lab, it is expected to have a significant impact in the field. It will considerably facilitate the detection and mapping of genomic N6MeA in various species including mammals and humans, which is of tremendous importance to unravel the biological role of this DNA modification and identify novel biological as well as possible pathological pathways.

Keywords: nucleic acids,n6 methyladenine,chemoselective reactions,epigenetics,sequencing
Modified Gravity on Trial (ModGravTrial)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Universe sciences
Panel description: Astro-physics/-chemistry/-biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: Germany,Switzerland
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-01-01
End date: 2024-12-31
Duration (months): 72.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1268075.76
Participants: 2
Project status: SIGNED

The main goal of this project is to study the fundamental properties of field theories of space-time, their cosmological consequences and observational signatures. My approach aims to use the next generation of cosmological and astrophysical observations to test the validity of General Relativity on scales where it has not been fully tested yet and its resilience against alternative theories with modifications on cosmological scales. I will first study the implications of the quantum aspects of modified gravity theories beyond the tree level analyses for their viability, consistency and predictability. This will reduce the allowed alternative theories significantly. I will then investigate the physical consequences of these theoretically promising theories for cosmological and astrophysical scenarios. As part of my approach, I will use large galaxy surveys to constrain effects on the dynamics of cosmic structure formation from these modifications of gravity. In addition, I will confront modified theoretical predictions with Planck measurements of the Cosmic Microwave Background, type-Ia supernova data, measurements of the Baryon Acoustic Oscillations and gravitational lensing. Along the way, my group and I will crucially contribute to the development of the necessary analytical and numerical tools to exhaustively analyse such data in the search for modifications of gravity. In addition, the recent detection of gravitational waves by the LIGO team has paved an exciting new avenue for testing gravitational theories. These new observations will put even more stringent constraints on alternative theories. As part of the proposed research, I will also extensively exploit this new observational channel to test the validity of General Relativity and put new effects of modified gravity on trial. In particular, the propagation speed of tensor perturbations in modified gravity theories will be severely restricted by observations of gravitational waves.

Keywords: modified gravity