Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
van der Waals Heterostructures for Innovative PhotoCATalysts (WHIPCAT)

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-2016, 2016)
Start date: 2017-09-01
End date: 2019-08-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Engineering of atomic (two-dimensional (2D)) layered solids is receiving immense attention from the scientific community due to the possibilities of tuning the optical, mechanical, electronic and electrochemical properties by combinatorial stacking of different atomic layers as novel candidates for energy and environmental applications. Van der Waals solids (vdW) of Semiconducting Transition Metal Dichalcogenides (STMD) have been largely investigating 2D materials, where its physico-chemical properties show a drastic contrast in comparison to its bulk. Visible light absorption, indirect to direct bandgap transition, layer dependent photoluminescence (PL) etc. are some of the stark contrasts in atomically layered STMD vdW crystals from bulk, making them unique for photocatalysis and photo-(electro) catalysis (PEC) applications. In this work, Fabrication of variety of novel heterogeneous STMD clusters with combinations of different transition metal (TM): Mo, W and V and chalcogenide (C): S, Se and Te by cluster beam deposition will be carried out for the efficient visible light photocatalysis and PEC applications. Size and edge termination dependent photophysical properties will be investigated and further implemented for the efficient visible light PEC from this kind of vdW solids. A dual-target, magnetron-sputtering gas condensation cluster source will be used to deposit pristine combinatorial stacked nanoclusters of TMs and Cs onto various substrates. The photocatatlytic reaction kinetics will be estimated from the visible light absorption, Raman/PL spectroscopy and photoconductivity studies. Further PEC activity towards HER/oxygen reduction reaction (ORR)/oxygen evolution reaction (OER) from the STMD vdW nanoclusters will be evaluated from linear sweep voltammetry and cyclic voltammetry in acidic and basic electrolytes in dark and light conditions.

Keywords: two dimensional layered semiconductors,van der waals solids,graphene,semiconductor,transition metal dichalcogenides,cluster beam deposition,photo electro catalysis,stem,raman spectroscopy
Mechanisms of Gene Silencing by the Glucocorticoid Receptor (SILENCE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology of ageing, pathophysiology, interorgan and tissue communication, endocrinology, nutrition, metabolism, interaction with the microbiome, non-communicable diseases including cancer (and except disorders of the nervous system and immunity-related diseases)
Countries involved: Germany
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-08-01
End date: 2021-07-31
Duration (months): 72.0
Total project cost (EUR): 1496275.0
EU funding (EUR): 1496275.0
Participants: 1
Project status: CLOSED

I propose to decipher the unresolved molecular paradox of positive versus negative gene regulation by the Glucocorticoid Receptor (GR). GR is one of the most potent anti-inflammatory drug targets in clinical use today, and one of the most powerful metabolic regulators. Unfortunately, its unique ability to efficiently shut off inflammatory gene expression is accompanied by serious side effects. These undesired effects are attributed to the transcriptional activation of its metabolic target genes and limit its therapeutic use. SILENCE uses cutting-edge genome-wide approaches to identify the molecular mechanisms underlying the transcriptional repression, or silencing, of inflammatory genes by GR. The general, open question I want to address is how one transcription factor can simultaneously both activate and repress transcription. GR is a member of the nuclear hormone receptor family of ligand-gated transcription factors. Upon hormone binding, GR can regulate gene expression both positively and negatively, but the mechanism governing this choice is unknown. I have previously shown that classical models and existing paradigms are insufficient to explain GR-mediated gene silencing. Therefore, I postulate the existence of unknown coregulator proteins, cis-regulatory DNA sequences, noncoding RNAs, or combinations thereof. To test these hypotheses, I plan 1. a large scale RNAi screen to identify those cofactors that specify repression versus activation, 2. ChIP-exo experiments to map genomic GR binding sites at an unprecedented resolution, and 3. GRO-Seq studies to define the role of noncoding RNAs during the silencing of inflammatory genes. Inflammation is known to contribute to the pathogenesis of numerous human illnesses, including cancer, autoimmune diseases, diabetes and cardiovascular disease. Understanding the specific mechanisms involved in the silencing of inflammatory gene expression carries transformative potential for novel therapies and safer drugs.

Keywords: nuclear hormone receptor,transcriptional repression,chip seq,noncoding rnas,macrophages,inflammation,enhancers
Large Discrete Structures (LaDIST)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Poland,Czechia,United Kingdom
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-12-01
End date: 2021-12-31
Duration (months): 73.0
Total project cost (EUR): 1386859.0
EU funding (EUR): 588038.95
Participants: 3
Project status: CLOSED

The proposed project seeks to introduce novel methods to analyze and approximate large graphs and other discrete structures and to apply the developed methods to solve specific open problems. A need for such methods comes from computer science where the sizes of input structures are often enormous. Specifically, the project will advance the recently emerged theory of combinatorial limits by developing new insights in the structure of limit objects and by proposing a robust theory bridging the sparse and dense cases. The analytic methods from the theory of combinatorial limits will be used to analyze possible asymptotic behavior of large graphs and they will be applied in conjunction with structural arguments to provide solutions to specific problems in extremal combinatorics. The obtained insights will also be combined with methods from discrete optimization and logic to provide new algorithmic frameworks.

Keywords: combinatorial limits,discrete mathematics,extremal combinatorics,graph theory
Migration Impact Assessment to Enhance Integration and Local Development in European Rural and Mountain Areas (MATILDE)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Theme: Inclusive societies
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Italy,Austria,Germany,Spain,Italy,Italy,Austria,Austria,Bulgaria,Finland,Norway,Türkiye,Sweden,Sweden,Finland,Finland,United Kingdom,United Kingdom
Call: Social and economic effects of migration in Europe and integration policies (H2020-SC6-MIGRATION-2019, 2019)
Start date: 2020-02-01
End date: 2023-01-31
Duration (months): 36.0
Total project cost (EUR): 2987830.0
EU funding (EUR): 2987830.0
Participants: 28
Project status: CLOSED

MATILDE develops a transdisciplinary conceptual and methodological framework for a multi-dimensional assessment of economic and social impacts of TCNs at different scales (from EU-aggregate, to local level). It focuses on assessing the impacts of TCNs (incl. economic, families, forced migration and vulnerable groups) on local development and on the re-distribution of resources in EU rural and mountain regions. The assessment is based on the hypothesis that TCNs are an important driver of socio-economic development and have a strong effect on the relationships between urban and rural/mountain areas and on a balanced territorial development. MATILDE uses quantitative and qualitative methods and adopts an action-research approach (through the implementation of 13 case studies throughout Europe) that emphasises the agency of migrants and the site-specific features of the regions involved. Case studies are selected based on the presence of urban poles differently interconnected with rural and mountain areas via flows of people, economic resources and cultural exchange. The action-reserach approach is built on a multi-stakeholder perspective: the two-level consortium gathers research partners and diverse local partners working in the field of TCNs’ integration. MATILDE partners will work together to co-construct the migration impact assessment in rural and mountain areas, engaging local stakeholders and beneficiaries, and to elaborate and share policy recommendations and governance solutions. Overall, the project improves knowledge on the social and economic development potential of TCNs in rural and mountain areas. It helps understanding the mechanisms behind the socio-economic integration of TCNs and it provides policy makers, practitioners and local stakeholders with analytical tools and place-based solutions/policy recommendations to counteract misperceptions and untap the migration potential in rural and mountain regions.

Keywords: migrants integration and impact,migration governance,third country nationals,rural and mountain regions,urban,rural linkages,asylum seekers and refugees,place based policies solutions
Evolving Single-Atom Catalysis: Fundamental Insights for Rational Design (E-SAC)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Austria
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-02-01
End date: 2025-01-31
Duration (months): 60.0
Total project cost (EUR): 1993718.0
EU funding (EUR): 1993718.0
Participants: 1
Project status: SIGNED

Rare and expensive metals tend to be the best catalysts, and minimising or replacing them is a major research target as we strive to develop an economy based on more environmentally-friendly, energy-efficient technologies. “Single-atom” catalysis (SAC) represents the ultimate in efficiency, and the chemical bonds formed between the metal atom and the support mean these systems strongly resemble the organometallic complexes utilized in homogeneous catalysis. If all active sites were identical, single-atom catalysts (SACs) could achieve similar levels of selectivity, and even be used to “heterogenize” difficult reactions that must be currently performed in solution. There is a problem however: homogeneous catalysts are designed based on well-understood structure-function relationships. In SAC, the structure of the active site is unknown, thus rational design is impossible. My group in Vienna has pioneered the use of the model supports to understand fundamental mechanisms in SAC. Our work with Fe3O4(001) proves that we can precisely determine and even selectively modify the active site, and unravel the role of structure in catalytic activity. Real progress, however, requires realistic active sites, realistic supports, and realistic environments. In this project, I describe how we will determine the sites that robustly anchor metal atoms on five of the most important supports in ultrahigh vacuum (UHV), and test their performance in newly-developed high-pressure and electrochemical cells. The origins of selectivity for PROX, hydrogenation, hydroformylation, methane conversion, and the oxygen reduction reaction (ORR) will be elucidated, and the best atom/support combinations for each reaction identified. Robust XANES and IRAS spectra will allow us to bridge the complexity gap and recreate the optimal active sites on real SACs and lead the way into a new era in which heterogeneous catalysts are designed for purpose, based on a fundamental understanding of how they work.

Keywords: single atom catalysis
Quantum Feedback Engineering (Q-Feedback)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: France,France
Call: ERC Advanced Grant (ERC-2019-ADG, 2019)
Start date: 2020-12-01
End date: 2026-09-30
Duration (months): 70.0
Total project cost (EUR): 2440125.0
EU funding (EUR): 2440125.0
Participants: 4
Project status: SIGNED

Quantum technologies, such as quantum computers and simulators, have the potential of revolutionizing our computational speed, communication security and measurement precision. The power of the quantum relies on two key but fragile resources: quantum coherence and entanglement. This promising field is facing a major open question: how to design machines which exploit quantum properties on a large scale, and efficiently protect them from external perturbations (decoherence), which tend to suppress the quantum advantage? Making a system robust and stable to the influence of external perturbations is one of the core problems in control engineering. The goal of this project is to address the above question from the angle of control systems. The fundamental and scientific ambition is to elaborate theoretical control methods to analyse and design feedback schemes for protecting and stabilizing quantum information. Q-Feedback develops mathematical methods to harness the inherently stochastic aspects of quantum measurements. Relying on the development of original mathematical perturbation techniques specific to open quantum systems, Q-Feedback proposes a new hierarchical strategy for quantum feedback modeling, design and analysis. The building block of a quantum machine is the quantum bit (qubit), a system which can adopt two quantum states. Despite major progress, qubits remain fragile and lose their quantum properties before a meaningful task can be accomplished. For this reason, a qubit must be both protected against external perturbations, and manipulated to perform a task. Today, no such qubit has been built. In collaboration with experimentalists, the practical ambition is to design, relying on the control tools developed here, qubits readily integrable in a quantum processing unit. The physical platform will be Josephson superconducting circuits. Q-Feedback is expected to demonstrate the crucial role of control engineering in emerging quantum technologies.

Keywords: quantum control,coherent feedback,decoherence control,control of open quantum systems
Bioengineered exosomes based approaches for the effective treatment of non-small cell lung cancer (BESG)

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: Life Sciences
Countries involved: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-10-01
End date: 2022-09-30
Duration (months): 24.0
Total project cost (EUR): 175572.48
EU funding (EUR): 175572.48
Participants: 1
Project status: SIGNED

ABSTRACT: Lung cancer is the principal cause of cancer-related death around the world and has become more predominant among former than current smokers. Smoking, alcoholism, air pollution, occupational exposure are among the main causes of non-small cell lung cancer (NSCLCs). It is difficult to simultaneously deliver therapeutics and nucleic acid to the target site. With the advancement of nanotechnology, a delivery system composing of cellular proteins which can bypass the reticuloendothelial system (RES) and have the ability to release payload at the specific target site is the necessity of the current era. Exosomes (Exo) are clinically acceptable, having protein membrane composition and the ability to deliver payload at specific target sites. Having endogenous origin, Exo evade immune recognition and clearance compared to exogenous nanovesicles. Exo are natural carriers of nucleic acids and they can be engineered to deliver siRNA as well as anti-cancer drugs. In this we propose the conjugation or covering of mesenchymal stromal cells (MSCs) derived exosomes with HSP4 peptide (target specific to NSCLCs) and loading them with Gefitinib (GEF), an EGFR inhibitor and SPC24 siRNA (target for NSCLCs and metastasis). The delivery of GEF and SPC24 siRNA using bioengineered exosomes (BESG) will reduce their dosage; improve patient compliance and life expectancy of patients. BESG will be evaluated for their uptake mechanisms and their mechanism of action in cell culture models of NSCLCs. BESG will specifically target the NSCLCs and release its payloads at cancer site. The underlying mechanisms, pharmacokinetics, biodistribution and anti-cancer activity will be evaluated in xenograft model of NSCLCs using advance imaging technologies. The BESG developed during this program will have a clinical potential and the trainings obtained through this program will help in career advancement in the area of drug delivery and precision medicine.

Keywords: exosomes,targeting peptides,non small cell lung cancer,sirna,gefitinib
Mems-based zerO-power Reconfigurable PHotonic ICs (MORPHIC)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: Photonics (cPPP)
Countries involved: Ireland,Spain,Switzerland,Sweden,Belgium
Call: Photonics KET 2017 (H2020-ICT-2017-1, 2017)
Start date: 2018-01-01
End date: 2022-06-30
Duration (months): 54.0
Total project cost (EUR): 3982333.75
EU funding (EUR): 3982333.75
Participants: 6
Project status: CLOSED

In MORPHIC, we will enhance an established Silicon Photonics platform with MEMS actuators so photonic circuits can be programmed, and reprogrammed, for a variety of optical functions with built-in redundancy and resilience. The ambition is to create a technology platform for generic Field-Programmable Photonic Integrated Circuits (FP-PIC), that can scale up to volume manufacturing while at the same time supply a variety of specialized applications, similar to field-programmable gate arrays (FPGA) in electronics. To enable programming and reconfigurability at the circuit level, MORPHIC introduces low-power photonic MEMS actuators into silicon photonics, with mechanical latching for non-volatile operation. Basic photonic MEMS building blocks, such as optical 1x2 and 2x2 switches, as well as continuously tuneable phase shifters and 2x2 couplers, are combined with monitor photodiodes and electronic feedback loops into self-configuring circuits to optimize their performance and scale circuit complexity. Programmable connectivity is implemented in a large-scale circuit matrix of waveguides coupled with photonic MEMS subcircuits. MORPHIC combines high-speed silicon photonics, non-volatile MEMS, and a reconfigurable connectivity matrix with control electronics, high-level design methodologies, and a programming interface to create a complete FP-PIC platform. MORPHIC will validate both the silicon photonic MEMS technology and the FP-PIC platform on three applications that benefit from low-power reconfigurability: an optical switch matrix, an optical beam forming network and a programmable microwave photonics filter. The demonstrators are implemented in two ways: as a dedicated photonic circuit, and as a programming scheme in a generic FP-PIC. With a complete technology portfolio, the MORPHIC consortium will establish a supply chain for field-programmable silicon photonics that leverages volume manufacturing and at the same time enables rapid access to complex photonic ICs

Keywords: silicon photonics,large scale integration,mems micro electromechanical systems,programmable photonics,photonic electronic integration
Dynamics and Structure of Networks (DYNASNET)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Synergy grants
Action type: ERC actions
Countries involved: Austria,Hungary,Czechia
Call: ERC Synergy Grant (ERC-2018-SyG, 2018)
Start date: 2019-09-01
End date: 2025-08-31
Duration (months): 72.0
Total project cost (EUR): 9315424.0
EU funding (EUR): 9315424.0
Participants: 4
Project status: SIGNED

Networks define our life, being essential to cell biology, communications, social and economic systems, and impacting virtually all areas of science and technology. The aim of this proposal is to engage leading experts in network science and graph theory to build a mathematically sound theory of dynamical networks, which will be transformative to our understanding of complex systems, with applications in multiple disciplines. Both fields have made major conceptual advances in the past decade: network science has offered a data-based basic topological description of complex networks, and has started to address the inherently dynamical nature of real networks, their reconstruction and control; in mathematics we have seen major advances in graph limit theory, the local-global dichotomy in observation, and promising steps in the theory of graphs with intermediate degrees, that capture real networks. While these concepts offer different formalisms to capture the same underlying reality, there has been no conversation between the two communities, limiting our understanding of real networks. The proposed research aims to build on these advances to construct a coherent theory of dynamical networks, and to exploit its applications and predictive power to various real systems. We plan to offer a sound mathematical foundation of network science, helping us better analyze, predict and control the behavior of real networks. It will benefit mathematics in leading to an enriched, robust graph limit theory, with exciting applications in multiple areas of mathematics. To enhance the wider impact of the proposed mathematical advances, we plan to conduct a permanent conversation with experts from different domains that encounter and explore real networks, from cell biology to brain science and transportation and communication networks, inspiring with novel questions and helping the application of our advances in these domains.

Keywords: graph limit,dynamic network,processes on graphs,network science,complex systems,network biology