Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Quantum Light Spectroscopy of Polariton Lasers (QUANTUM LOOP)

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: Physics
Countries involved: Italy,Canada
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-10-01
End date: 2019-09-30
Duration (months): 36.0
Total project cost (EUR): 229761.0
EU funding (EUR): 229761.0
Participants: 2
Project status: CLOSED

Spontaneous coherence in quantum condensates due to strong exciton-photon coupling in materials can potentially drive energy efficient polariton lasers. With a long term perspective of creating industrially viable polariton lasers embodying perovskites, this project will develop the essential photo-physical knowledge-base through novel optical spectroscopies. The investigations will cover both perovskite photo-physics and complex polariton dynamics. Advanced multi-dimensional spectroscopies will be applied on selected organic-inorganic hybrid perovskites in order to unravel the many-body exciton physics and inherent non-linearities in these materials. This will enable us to classify the photo-physics of these novel materials and design the appropriate chemical and structural architecture of the perovskite to create a polariton laser. In parallel, new optical spectroscopies based on the “quantum” light will be developed and applied on micro-cavities with conventional semiconductors (GaAs quantum wells) to obtain a detailed and unambiguous comprehension of the dynamics of the polariton condensate. This will enable us to understand the various interactions of the condensate and the various competing channels for the lasing action. These fundamental studies will be carried out at Silva’s group (Monetréal) and the resultant knowledge will be transferred in the return phase to Petrozza’s group (Milano), where micro-cavities embodying perovskites will be fabricated and characterized to create room temperature polariton lasers.

Keywords: hybrid perovskites,excitons,polariton lasers,bose einstein condensate,multi dimensional optical spectroscopy,ultrafast lasers,entangled photons
GridEye State Estimation of Medium Voltage Distribution Systems (GEiMS)

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: Information Science and Engineering
Countries involved: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-09-01
End date: 2020-08-31
Duration (months): 24.0
Total project cost (EUR): 175419.6
EU funding (EUR): 175419.6
Participants: 1
Project status: CLOSED

GEiMS will be the first ever project to enable the realistic and prompt application of decentralized State Estimation (SE) at Medium Voltage (MV) Distribution Systems (DS) of electricity. A wide, concise, adaptive and straight-forward SE framework for MV DS will be delivered, based on the novel, but readily available features of the GridEye Base Module (GBM) equipment, which is integrated over GridEye Network Supervision, a fully operational monitoring and control ICT platform, both developed by DEPsys (host institution of GEiMS). The Experienced Researcher (ER) will contribute greatly to GEiMS thanks to his vast experience in the recent years of his studies and work on the field of MV DS. To achieve the goals of GEiMS, first, the calculation of the phasors performed by the GBM equipment will be improved, based on proper time domain models of the DS infrastructure. Following, and since SE may be viewed as an optimization problem, the GEiMS platform will include distributed optimization techniques to realize SE for MV DS. However, due to the limited availability of metering (and, thus, processing) infrastructure at DS, a complementary decentralized SE method will also be added to the GEiMS platform. Given the special characteristics of DS, the correlation of errors across types of the measurements and pseudomeasurements required in SE methods will be explored extensively. The GEiMS framework will also account for practical critical issues that may threaten the integrity of SE and devise plans to ensure improved efficiency of the tool under all circumstances. The framework will be assessed on an actual test-bed distribution feeder. The whole GEiMS project will be developed in close collaboration with Swiss and European DSOs, thus ensuring its practical value for the R&D panel at hand, as also offer ample potential and opportunities to the ER leading this work.

Keywords: state estimation,distribution systems,distributed optimization,phasor measurement units,measurement error correlation
Connecting expert enthusiasts with potential shoppers within a shared economy model (ibbu)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: France
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-08-01
End date: 2018-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

When buying a pair of running shoes, would you trust a peer who just ran a marathon or a sales person who might work on commission? The latest web and mobile technologies enable us to connect with people across time and space. ibbü takes qualified peer advice to the next level: we can directly connect with peer experts and get their advice. Our solution ibbü brings together brands (demand-side) with experts (supply-side) to convert consumers (end-users) into shoppers within a conversational commerce marketplace based on a shared economy model. Brands manage their campaigns as they wish. Savvy peers are curated by ibbü based on criteria that highlight expertise and skill. We already have 22 brands and 150 active experts with 300,000+ advices through ibbü. We are now focusing on the existing iAdvize clients and are evangelizing further fast-moving consumer good brands starting with the different retail channels. We calculate our market size based on the retail market we will penetrate with a TAM of $340 billion, SAM $200 billion and SOM of $20 billion. ibbü generates an average of €1.23 per chat based on direct revenues, i.e. 16.67% of the commission of the brand’s payments to the expert and on indirect revenues, i.e. we charge our clients (brands) €0.90 to set up each chat. ibbü can help respond to the challenge of unemployment and social inclusion by having citizens profit from the shift to e-commerce and less retail shelve space. Also, whilst the gap between female and male unemployment has narrowed in the past, it still remained high and ibbu can help reverse that. The shift from brick and mortar to e-commerce can also benefit citizens: they can profit from becoming the middle man and secure an income for sharing an honest opinion.

Keywords: shared economy,customer service,peer to peer,expert advice,conversational commerce
Advancing CO2 Capture Materials by Atomic Scale Design: the Quest for Understanding (AMADEUS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Switzerland
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2019-06-01
End date: 2024-05-31
Duration (months): 60.0
Total project cost (EUR): 1994900.0
EU funding (EUR): 1994900.0
Participants: 1
Project status: SIGNED

Carbon dioxide capture and storage is a technology to mitigate climate change by removing CO2 from flue gas streams or the atmosphere and storing it in geological formations. While CO2 removal from natural gas by amine scrubbing is implemented on the large scale, the cost of such process is currently prohibitively expensive. Inexpensive alkali earth metal oxides (MgO and CaO) feature high theoretical CO2 uptakes, but suffer from poor cyclic stability and slow kinetics. Yet, the key objective of recent research on alkali earth metal oxide based CO2 sorbents has been the processing of inexpensive, naturally occurring CO2 sorbents, notably limestone and dolomite, to stabilize their modest CO2 uptake and to establish re-activation methods through engineering approaches. While this research demonstrated a landmark Megawatt (MW) scale viability of the process, our fundamental understanding of the underlying CO2 capture, regeneration and deactivation pathways did not improve. The latter knowledge is, however, vital for the rational design of improved, yet practical CaO and MgO sorbents. Hence this proposal is concerned with obtaining an understanding of the underlying mechanisms that control the ability of an alkali metal oxide to capture a large quantity of CO2 with a high rate, to regenerate and to operate with high cyclic stability. Achieving these aims relies on the ability to fabricate model structures and to characterize in great detail their surface chemistry, morphology, chemical composition and changes therein under reactive conditions. This makes the development of operando and in situ characterization tools an essential prerequisite. Advances in these areas shall allow achieving the overall goal of this project, viz. to formulate a roadmap to fabricate improved CO2 sorbents through their precisely engineered structure, composition and morphology.

Keywords: carbon dioxide capture
Factorizing the wave function of large quantum systems (FACT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Israel
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2019-09-01
End date: 2024-08-31
Duration (months): 60.0
Total project cost (EUR): 2443932.0
EU funding (EUR): 2443932.0
Participants: 1
Project status: SIGNED

This proposal puts forth a novel strategy to tackle large quantum systems. A variety of highly sophisticated methods such as quantum Monte Carlo, configuration interaction, coupled cluster, tensor networks, Feynman diagrams, dynamical mean-field theory, density functional theory, and semi-classical techniques have been developed to deal with the enormous complexity of the many-particle Schrödinger equation. The goal of our proposal is not to add another method to these standard techniques but, instead, we develop a systematic way of combining them. The essential ingredient is a novel way of decomposing the wave function without approximation into factors that describe subsystems of the full quantum system. This so-called exact factorization is asymmetric. In the case of two subsystems, one factor is a wave function satisfying a regular Schrödinger equation, while the other factor is a conditional probability amplitude satisfying a more complicated Schrödinger-like equation with a non-local, non-linear and non-Hermitian “Hamiltonian”. Since each subsystem is necessarily smaller than the full system, the above standard techniques can be applied more efficiently and, most importantly, different standard techniques can be applied to different subsystems. The power of the exact factorization lies in its versatility. Here we apply the technique to five different scenarios: The first two deal with non-adiabatic effects in (i) molecules and (ii) solids. Here the natural subsystems are electrons and nuclei. The third scenario deals with nuclear motion in (iii) molecules attached to semi-infinite metallic leads, requiring three subsystems: the electrons, the nuclei in the leads which ultimately reduce to a phonon bath, and the molecular nuclei which may perform large-amplitude movements, such as current-induced isomerization, (iv) purely electronic correlations, and (v) the interaction of matter with the quantized electromagnetic field, i.e., electrons, nuclei and photons.

Keywords: computational condensed matter physics
Artificial Intelligence-based diagnostic system for Solar PV Plants (DeepSolar)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Israel
Call: Stimulating the innovation potential of SMEs for a low carbon and efficient energy system (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-12-01
End date: 2018-03-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Raycatch Ltd. is an Israeli SME that has developed DeepSolar, the first complete automated solar diagnostics tool in the market that provides predictive optimization, quantifiable insights and pinpointed actions. Current PV plants’ monitoring systems can detect a series of standard failures but have a limited resolving accuracy of around 10%. This results in a reduction of the global performance of the plants what in average accounts for 15% of loses of the potential IRR for the owners, which translates into €500,000 annually and up to €12.5 million over the whole lifetime of the plant. Currently, high-accuracy (1%) determination of the exact root cause requires a manual physical check in the field down to the panel level with the associated labour cost of typically €500 per day over many days. DeepSolar tackles this problem thanks to its in-depth automated and continuous diagnostics system that provides full understanding and data-driven maintenance tasks. Based on Artificial Intelligence and signal processing algorithms, DeepSolar gives (i) a very accurate low-error-rate breakdown of performance reduction sources, (ii) root cause analysis, which in turn will allow pinpointed actions to reduce this variation significantly, what turns into an increase of performance of low-performing PV field parts. Raycatch does not need additional hardware like sensors or data loggers, a key characteristic to boost its commercialisation. DeepSolar enables the identification and accurate diagnostic of the PV field together with actions to be taken in order to optimize the plants yield, all this on-going, automatically, and without human interpretation. We estimate the total Addressable Market for AI based solar diagnostics to be €100 million in 2020 and €500 million in 2024. Raycatch’s technology will revolutionize the PV monitoring market by closing the gap of performance differences of PV plants.

Keywords: photovoltaic energy,monitoring,artifical intelligence
The genetic basis of the convergent evolution of fungal multicellularity (Multicellularity)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Environmental Biology, Ecology and Evolution
Panel description: Ecology, biodiversity, environmental change, evolutionary biology, behavioural ecology, microbial ecology, marine biology, ecophysiology, theoretical developments and modelling
Countries involved: Hungary
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-01-01
End date: 2023-06-30
Duration (months): 66.0
Total project cost (EUR): 1486500.0
EU funding (EUR): 1486500.0
Participants: 1
Project status: SIGNED

The evolution of multicellularity (MC) has been one of the major transitions in the history of life. Despite immense interest in its evolutionary origins, the genomic changes leading to the emergence of MC, especially that of complex MC (differentiated 3-dimensional structures) are poorly known. Previous comparative genomics projects aiming to understand the genetic bases of MC in one way or another relied on gene content-based analyses. However, a pattern emerging from these studies is that gene content provides only an incomplete explanation for the evolution of MC even at ancient timescales. We hypothesize that besides gene duplications, changes to cis-regulatory elements and gene expression patterns (including protein isoforms) have significantly contributed to the evolution of MC. To test this hypothesis, we will deploy a combination of computational methods, phylogenomics, comparative transcriptomics and genome-wide assays of regulatory elements. Our research focuses on fungi as a model system, where complex MC evolved convergently and in subsequent two steps. Fungi are ideal models to tackle this question for several reasons: a) multicellularity in fungi evolved multiple times, b) there are rich genomic resources (>500 complete genomes), c) complex multicellular structures can be routinely grown in the lab and d) genetic manipulations are feasible for several cornerstone species. We set out to examine which genes participate in the building of simple and complex multicellular structures and whether the evolution of regulome complexity and gene expression patterns can explain the evolution of MC better than can traditionally assayed sources of genetic innovations (e.g. gene duplications). Ultimately, our goal is to reach a general synthesis on the genetic bases of the evolution of MC and that of organismal complexity.

Keywords: bioinformatics,evolutionary genomics,regulatory dna,fungi,multicellularity,single cell methods
Modular Intelligent Hydraulics (MIDRAULICS)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Italy
Call: Small business innovation research for Transport and Smart Cities Mobility (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2017-09-01
End date: 2020-09-30
Duration (months): 37.0
Total project cost (EUR): 1290523.75
EU funding (EUR): 903366.63
Participants: 1
Project status: CLOSED

HYDRONIT is a company established in 2003 whose core business focuses on research, development and production of smart modular hydraulic power packs and relevant components for the mobile industry, for which we strive for excellence. We operate in 50+ countries with daughter companies located in China, the UK and the US. Our passion for hydraulics power and our commitment with our customers let us reach €4 million turnover in 2015, 60% of which coming from exports (as of 2016Q2, we project 10% growth for 2016, which will let us achieve €4.4 million turnover).Hydronit has always pursued a full new concept of hydraulics consisting on building modular solutions that integrates all necessary pieces of knowledge (electric/electronics on top of hydraulics), removing the need to resort to multiple subcontracts to produce the final equipment. Following this philosophy, we have been developing MIDRAULICS, a programmable intelligent mini and micro power pack for the mobile industry (e.g. industrial, construction and agricultural vehicles and equipment). MIDRAULICS will provide our customers in the mobile application sector: 1. Full control distribution of hydraulics (100% compared to conventional systems with no integrated control); 2. Total safety thanks to a better control of the solution components and power; 3. Huge energy saving, as a results of the following factors: 86% less material for wiring; 10 % electric power savings in on-off applications thanks to start stop features; 30% electric power savings in variable speed applications through use of Inverters and AC motors.4. Environmental friendliness, thanks to Metal reduction (no need for sensor housing) and Cable reduction (through use of wireless communications) Thanks to MIDRAULICS, we expect to generate about €6.87 million accumulative revenues during the first 5 years of business (conservative scenario), achieving a RoI ≥ 1.58.

Keywords: hydraulics,electronics,power distribution,power pack,power unit,mobile,control,electro hydraulics
Tight integration of EGNSS and on-board sensors for port vehicle automation (LOGIMATIC)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Action type: Innovation actions
Countries involved: Spain,Spain,Spain,Italy,Greece
Call: EGNSS applications (H2020-Galileo-2015-1, 2015)
Start date: 2016-03-01
End date: 2019-08-31
Duration (months): 42.0
Total project cost (EUR): 2386925.0
EU funding (EUR): 2002910.0
Participants: 9
Project status: CLOSED

Annual volume at global container terminals will rise by a 5.6% rate during the next 5 years and reach 840 million TEU by 2018.The usual way for ports to deal with the increasing demand of sea transport and compete against competitors is to expand the port in the original site. There is scarcity of land available for port expansion in densely populated urban areas where most of European ports are situated. This fact is causing that many container terminals are coping with congestion and capacity problems. Therefore, port managers are searching for more efficient and cost-effective means in the handling of containers while still trying to introduce innovative technical solutions. Container handling equipment automation is an innovative technological solution that contributes not only to improve the utilization rate of equipment and reduce operating costs, but also greatly improve efficiency of terminals. LOGIMATIC proposes an ad-hoc advanced location and navigation solution to enable the automation of existing port vehicles with a significantly lower cost which will allow short-medium term investments until the whole port fleet is renewed with totally autonomous vehicles in the long term. The project will develop and demonstrate an innovative location and navigation solution for the automation of the operations of straddle carriers in container terminals. Objectives: ● To develop an advanced automated navigation solution based on the integration of Global Navigation Satellite Systems (GNSS) and sensors onboard the SC vehicles. ● To implement a GIS-based control module compatible with existing Terminal Operating Systems (TOS) for optimized global (yard level) route planning and fleet management. ● To implement security mechanism in order to detect and avoid spoofing and/or jamming attacks ● To assess the impact of application of such automated approach at large scale through simulation ● To integrate, validate and demonstrate the proposed solution in a real port yard.

Keywords: port automation,terminal operating system,container terminal operations,straddle carrier,sensor fusion,anti spoofing