Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Towards a mathematical conjecture for the Landau-Ginzburg/conformal field theory correspondence and beyond (MACOLAB)

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: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-08-01
End date: 2019-07-31
Duration (months): 24.0
Total project cost (EUR): 165598.8
EU funding (EUR): 165598.8
Participants: 1
Project status: CLOSED

Initially a model to describe superconductivity, Landau-Ginzburg (LG) models were promoted in the late 80s to supersymmetric quantum field theories (QFTs) completely characterized by a polynomial W called potential. They gained importance in string theory and algebraic geometry as they play an interesting role in homological mirror symmetry. On the other hand, conformal field theories (CFTs) have been another kind of QFTs which display conformal symmetry. They have focused many efforts to understand the mathematical structures which encode them, e.g. inspiring the definition of vertex operator algebras (Borcherds, Fields medalist ’88) or pushing forward our knowledge of modular tensor categories. Despite seeming two very different topics, LG models and CFTs are intimately related via a result of theoretical physics — the LG/CFT correspondence— stating that the infrared fixed point of a LG model with potential W is a CFT of central charge c(W). Mathematically this implies equivalences of categories of matrix factorizations (which describe defects of LG models) and categories of representations of vertex operator algebras (which describe defects of CFT). Up to date, we lack a complete understanding of the LG/CFT correspondence and we only have a few examples. The main goal of this Marie Curie is to find a mathematical statement for it, via completing a list of examples, exploring their properties (e.g. tensoriality or even modularity of the categories) and then attacking the main goal. Utrecht University (host institution) is one of the few places in Europe hosting experts in representation, category and Galois theory and mathematical physics, providing exactly the necessary and complementary expertise required to achieve this goal. These results will build a surprising bridge between very different areas of mathematics, opening new research gates completely inspired by physics.

Keywords: landau ginzburg models,conformal field theory,matrix factorizations,vertex operator algebras
PELLETON – a device for production of pellets from biomass and agricultural waste for energy purposes (PELLETON)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Poland
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-1-2015, 2015)
Start date: 2015-12-01
End date: 2016-05-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Biomass, like fossil fuels, releases CO2 when burned. But whereas emissions from fossil fuels are net additions of CO2 to the atmosphere, the carbon dioxide released from biomass becomes part of a natural cycle that entails no net additions. Using biomass to generate heat and power can reduce GHG emissions significantly, if production and logistics are managed responsibly. The objective of our innovation is to contribute to solving one of the European’s main environmental issue i.e. global emissions of CO2 from fossil-fuel combustion. We intend to reduce energy needed to produce biomass-based fuels and drive wider production of biofuels from agricultural waste, what will be an important step towards achieving the EU goals for low-carbon economy. Our innovation is an energy-efficient, mobile pellet production line called PELLETON, which is characterized by three main features: • innovative energy-saving granulation and mixing modules, which allow to omit processes of drying and accurate grinding of biomass, thereby reducing energy usage by 38%, • ability to process hardly manageable bio-sewer sludges, which gives an opportunity to manufacture biofuel from another renewable resource, • mobile structure allowing to contain the whole production line on two trailers, which reduces the transportation costs and resulting CO2 emission, giving an opportunity to gather biomass from previously unreachable sources. Our technology was developed by ZUK Stąporków S.A. and is protected by Polish patent application no. P-404576 and PCT application no. PCT/PL2014/000066. The project will be conducted by ZUK Stąporków S.A. as a part of the company's development strategy. The company constantly operates on the market for 40 years. During this period, we acquired experience and strengthened our position in the energy sector, especially processing of biomass for heating sector. We operate on the international market, leading sales in Germany, Scandinavia, Iceland, UK and Romania.

Keywords: biomass,low carbon,pellets,renewable energy,machinery
New multi-parameter automaton for measurement of indoor environmental conditions in livestock exploitations (GASMETRIC)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: SME instrument
Countries involved: Spain
Call: Stimulating the innovation potential of SMEs for sustainable and competitive agriculture, forestry, agri-food and bio-based sectors (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2017-02-01
End date: 2017-07-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The main objective of the GASMETRIC project is to develop and worldwide market the first multifunctional automaton for measurement of indoor environmental variables in farms, specifically designed for poultry, that only will need to be calibrated once a year (with reduced cost) and possibility of recording and storage of all environmental parameters data inside farms and alert launch to portable devices. The new product is going to have unique characteristics in a single device. It is a revolutionary novelty for the industry sector in which it is presented under the concept of new market applications of existing technologies: Very compact multi-sensor integration, with easy and direct reception of data on mobile devices via wireless system; internal displacement and therefore registration regardless gas stratification by density differences; energy supply from solar PV. The Best Available Techniques Reference Document (BREF, main EU instrument regulating the application of IED and IPPC directives) for Intensive Rearing of Poultry and Pigs (IRPP) is expected to come into force by 2017, which will require the correct measurement of emissions and their minimization. Therefore, a solution like GASMETRIC will be essential, which ensures a very important potential market. It must be noted that he project status is suggested to be in TRL 7 stage (system prototype demonstration in operational environment). The SME Gasmetric Autómatas de Medición S.L. will be the first worldwide company to commercialize a profitable multi-parameter mobile system for automatic measure of indoor environmental conditions in livestock exploitations, with the possibility of being specifically designed and tailored for each type of farm. The ambition of SME is to become an European market leader in development and commercialization of a breakthrough product for measurement of indoor environmental variables in farms.

Keywords: farm,welfare of animals,chickens,livestock,oxygen,ammonia,gas concentrations,harmful gases,detector,health,ippc directive,ied directive
Genomcore Identity: databank proxy for DNA fingerprinting from whole exome/genome for biometric identifica-tion (Genomcore Identity)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Action type: SME instrument
Countries involved: Spain
Call: Engaging SMEs in security research and development (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2018-01-01
End date: 2018-06-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Genomcore aims at creating a new compatible interface for DNA-based biometrical identification consider-ing the exponential growth of public (governmental) and private repositories of complete genomic se-quences. These genomic databanks, containing Whole Exome Sequencing (WES) and Whole Genome Sequencing (WGS) data, commonly used for healthcare and biomedical purposes, can be a massive source of inexpensive and reliable DNA fingerprints with broad applications in forensics, law enforcement and identification purposes. This system will be based in the count of short-tandem repeats (STRs) allowing collation with existing CODIS and CODIS-based databases . Additionally, the company wants to explore a method for generating DNA fingerprinting based on the hashing of Single Nucleotide Polymorphisms (SNPs), which can lead to a potentially cheaper and fast-er mechanism for collating biological samples with the database. The generated fingerprints will always be complete-ly devoid of any personal, health or private information, thus enabling identification while ensuring privacy protec-tion. Genomcore Identity can represent a qualitative leap in biometric identification since: 1. Addresses the controversial topic of using public and commercial genomic databanks for biometric identification, while preserving the privacy of the DNA donors through the proxy. 2. Provides a controlled, extremely valuable and yet inexpensive solution to authorities for collating new DNA profiles with already existing genomic databases, extending DNA forensics to use cases that are unfeasible nowadays (i.e., a fast identification of large cohorts of victims in accidents or terrorist attacks). 3. Provides legacy compatibility with CODIS profiles but also offers a new option to use SNP hashes, offering higher sensitivity, shorter response times and a ~50% less cost than existing methodologies. 4. The SNP hashing technique has the potential to use the new generation of portable DNA sequencers.

Keywords: biometric identification,privacy first identity proxy,dna fingerprinting,genomic databanks,backwards compatibility
Intrinsically chiral gold nanoclusters as enantiodiscriminating sensors for methamphetamines. (GOLDENSENS)

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: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-07-01
End date: 2019-06-30
Duration (months): 24.0
Total project cost (EUR): 175419.6
EU funding (EUR): 175419.6
Participants: 1
Project status: CLOSED

The GOLDENSENS project aims at creating a new class of enantiodiscriminating sensors for methamphetamines based on intrinsically chiral Au38(SR)24 nanoclusters. These materials have unique optical properties which make them capable of conferring chirality to thiols protecting their surface, even when ligands themselves are achiral. The result of this chirality transfer is the formation of an asymmetric environment on the cluster surface which will be used for the enantiodiscrimination of D- and L-methamphetamines which can have distinct biological effects (The D-enantiomer is diffuse as psychotropic drug, whereas the L-enantiomer have been applied in medicine as in nasal decongestant). The first objective of GOLDENSENS will be the preparation of functional Au38 clusters. The protecting thiols of these novel clusters will bear specific chemical groups able to increase the enantioselective interactions with methamphetamines. The second objective will be the investigation of chiral properties of these gold nanoclusters by a combined chiroptical techniques and theoretical calculations. Ultimately, GOLDENSENS will investigate the enantiodiscriminating activity of prepared Au38 clusters towards methamphetamines, leading to the development of novel methods for enantiomeric separation. NMR-based techniques will quantify enantioselective interactions and "absolute configuration modulation infrared spectroscopy" will clarify the mechanism of enantiodiscrimination by gold nanoclusters. Results and knowledge generated with GOLDENSENS will impact the understanding of chirality at the nanoscale, contributing to the growth of an emerging and frontier research field. The training provided by the project will help the experienced researcher to refine scientific and soft skills, ultimately acquiring all the abilities and competences necessary to start an independent academic career in nanotechnology.

Keywords: intrisically chiral gold nanocluster,methamphetamines,nmr sensing,absolute configuration modulation infrared spectroscopy
Multi-marginal Optimal Transport and Density Functional Theory: a mathematical setting for physical ideas (OTmeetsDFT)

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: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-05-01
End date: 2021-04-30
Duration (months): 24.0
Total project cost (EUR): 177598.8
EU funding (EUR): 177598.8
Participants: 1
Project status: CLOSED

Accurately predicting electronic structure from first principles is crucial for many research areas such as chemistry, solid-state physics, biophysics and material sciences. In principle, the electronic structure is determined by the Schrödinger equation, which can only be solved in practice for few electrons. Kohn-Sham (KS) Density functional theory (DFT) has been a real breakthrough for electronic structure calculations. KS DFT uses the one-electron density and a non-interacting wave function as basic variables, much simpler quantities than many-electron wave-functions, allowing to treat realistic large systems. However, present-day KS DFT is not yet able to accurately capture the physics of systems in which electronic correlation plays a prominent role (e.g. transition metals). In recent years, the hosting group has developed a formalism to deal with density functional theory for strongly correlated systems (SCE), based on the exact DFT limit of infinite coupling strength, linking SCE DFT to Optimal Transport Theory with Coulomb costs. This project creates a mathematical framework toward a rigorous SCE DFT theory, proposed by Gori-Giorgi and co-authors, combining the fellow's expertise in optimal transport and the host researcher experience in SCE DFT. This relies to (i) the study of a new instance of optimal transport problem with finitely many marginals and Coulomb cost; (ii) the computation of higher-order terms of the Levy-Lieb (Hohenberg-Kohn) functional around the infinite coupling strength limit. The problems arising in multi-marginal optimal transport and SCE DFT requires novel combinations of ideas from three research communities: chemists, physicists and mathematics. Our goal is to turn numerical results and physical ideas developed by P. Gori-Giorgi's group (host researcher) into theorems. The researcher is a mathematician and the site of research is the Theoretical Chemistry section of the Vrije Universiteit Amsterdam.

Keywords: multi marginal optimal transport,gamma convergence,density functional theory for strongly correlated systems,optimal transport with coulomb costs,entropic transport
Shot-noise Limited Optical Waveguide MOdule (SLOW MO)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: United Kingdom
Call: Call for proposals for ERC Proof of Concept Grant (ERC-2020-PoC, 2020)
Start date: 2020-12-01
End date: 2022-05-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Fibre lasers have become highly prevalent due to their cost, stability and practicality. However, they are inherently noisy and this is a severe limitation when using them for microscopy, spectroscopy or generate quantum states of light. We propose to develop a “plug-and-play” module that can be retrofitted to fibre lasers that are already deployed in the field, which reduces the optical noise at the laser output down to a fundamental limit of classical physics. This proof of concept grant will enable us to advance the commercial readiness of this noise suppression module, commission market research to identify potential customers, engineer a robust demonstrator for deployment outside the optics laboratory and foster relationships with end users willing to take part in trials. This project will bridge the gap between academic research and commercial exploitation of filter modules that allow lasers to operate at the fundamental shot noise limit.

Keywords: laser,balanced detection,shot noise limit,module,fibre
Knowledge-First Social Epistemology (KNOWLEDGELAB)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: United Kingdom
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-01-01
End date: 2025-12-31
Duration (months): 60.0
Total project cost (EUR): 1469955.0
EU funding (EUR): 1469955.0
Participants: 1
Project status: SIGNED

This highly ambitious project proposes a new research programme for social epistemology. Social epistemology investigates the epistemic effects of social interactions: e.g., how we gain knowledge from social sources (others’ testimony, the media), how we should respond to disagreement, how groups (scientific teams, organisations) can know. It is among the most thriving areas in contemporary philosophy. However, there is little agreement concerning the best methodological approach to social epistemological issues. Individualism puts the individual first; it asks: ‘What are the epistemic responsibilities of individuals in social settings?’ Its main weakness is that it is too demanding to be empirically plausible: according to Individualism, the individual has to do most of the work in separating reliable from unreliable sources. In contrast, Socialism puts the social factor first; it asks: ‘How does the social environment need to be for individuals to acquire justified beliefs?’ On this view, individuals need to do more or less epistemic work, depending on the social norms in force at the context. Socialism is too permissive, in that it licences socially accepted but epistemically irresponsible behaviour. KNOWLEDGELAB develops a novel methodology for social epistemology, one that puts knowledge first; it starts with the function of social epistemic interactions, i.e. that of generating knowledge. It asks: ‘How should we proceed in social epistemic interactions in order to generate knowledge?’ KNOWLEDGELAB employs this novel methodology in the service of the epistemology of testimony, disagreement and groups, and develops the first integrated account of the epistemology of mass media in the literature. This framework is highly relevant in the context of a globalized society, replete with both easy-access information and misinformation: it is more important than ever to know what separates trustworthy sources of information from untrustworthy ones.

Keywords: knowledge first epistemology,social epistemology,proper functionalism,epistemology of testimony,group belief,disagreement,assertion,reporting,epistemic norms,norm of belief,epistemology of mass media
Driving Investment in Energy Efficiency through Energy Savings Insurance in Europe 2.0 (ESI Europe 2.0)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Reducing energy consumption and carbon foorpint by smart and sustainable use
Action type: Coordination and support actions
Countries involved: Croatia,Slovakia,Greece,Switzerland
Call: Financing for energy efficiency investments - Smart Finance for Smart Buildings (H2020-LC-SC3-EE-2020-2, 2020)
Start date: 2021-09-01
End date: 2024-08-31
Duration (months): 36.0
Total project cost (EUR): 1485893.75
EU funding (EUR): 1485893.0
Participants: 4
Project status: SIGNED

The Energy Savings Insurance (ESI) Europe 2.0 project aims to: (i) replicate the successful innovative financing scheme ESI (currently being implemented in Italy, Portugal and Spain with the ESI Europe funded by the EU’s Horizon 2020 research and innovation programme) in three high potential countries in Europe – Croatia, Greece & Slovakia; (ii) hold capacity building, and marketing and promotion activities targeting key market stakeholders to help them understand the model and facilitate access to EE finance; & (iii) to create tools to promote & enable the further replication of ESI across Europe. The ESI model consists of financial & non-financial mechanisms designed to work together to improve the risk-return profile of EE investments & overcome the associated barriers to stimulate the demand for EE projects. It consists of: (i) a standardised contract, which clearly establishes the setup to guarantee energy savings to the SME; (ii) a performance insurance that is used to compensate the SME in case the EE project does not reach the expected energy savings; & (iii) validation mechanisms that provides an independent assessment & verification of the project. These three mechanisms work together to create trust & credibility between actors, & convince SMEs to invest in EE. The model is supported by communications, dissemination & outreach activities, as well as capacity building & EE investment roundtables targeting key market stakeholders, including technology providers with EE solutions, financial institutions, SMEs & others, to create dialogue between the relevant stakeholders & facilitate access to EE finance. The ESI model presents a proven & unique, market based approach that makes use of distribution channels & products that are already available on the market. The ESI mechanisms is complementary to other schemes & available funding, such as green credit lines, credit guarantees, or energy audits.

Keywords: energy savings insurance,energy efficiency,financial mechanism,business model