Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Smart Energy Automation System - advanced artificial intelligence and predictive systems for energy optimization and savings in all buildings / infrastructures (SEAS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Italy
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

Despite recent investments in smart grid infrastructure and energy management systems, commercial and industrial buildings still waste 30% of their energy consumption on average. This wastage is mainly caused by a lack of automation in the way that energy is consumed and managed. AKSE’s Smart Energy Automation System (SEAS) is a software/hardware platform that incorporates the vast amounts of data from smart grid devices such as smart meters, temperature and humidity sensors and renewable energy generation to intelligently control the energy consumption of commercial and industrial buildings and infrastructures. Our platform is underpinned by a unique artificial intelligence algorithm that will increase energy efficiency and cut consumption costs. We already have a number of companies interested in adopting the technology, included renowned automotive manufacturer Iveco. In the growing automated smart energy systems market – set to reach €6.44 billion by 2021 – , we expect SEAS technology to contribute €25.5 million of accumulated revenues to our business by 2024. Practically, SEAS solution is an automated IoT-based modular platform with self-configuration and adaptation abilities. The platform is flexible, allowing the smart energy meters and wireless applications to be integrated as need arises or as technology advances. Moreover, automation is essential on IoT due to the number and diversity of devices connected which would otherwise make remote or Cloud-based control virtually impossible.

Keywords: smart buildings,energy monitoring,artificial intelligence,automation,self learning,smart meters,internet of things,smart grid
The Accademia del Cimento in Florence: tracing the roots of the European scientific enterprise (TACITROOTS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The study of the human past
Panel description: Archaeology, history and memory
Countries involved: Italy
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2019-06-01
End date: 2025-11-30
Duration (months): 78.0
Total project cost (EUR): 1708206.0
EU funding (EUR): 1708206.0
Participants: 1
Project status: SIGNED

The Accademia del Cimento (Florence) is the first European society to put experimentation at the core of scientific activity and to be supported by a public power. It lasted only ten years (1657-1667), the same years that saw the establishment of societies of greater fame and longevity such as the Royal Society and the Académie Royale des Sciences. The copious amount of records – most still unpublished – left by its members casts new light onto the process of establishment of scientific societies in Europe, on the emergence of a shared scientific discourse, and its normalisation. It also clarifies the “viral” aspect of some experiments as well as the dynamics of competition, imitation and (self-) censorship from which these institutional and scientific endeavours originated. This project analyses for the first time in its entirety the extensive corpus of unpublished documents (ca. 15,000 papers), descriptions of experiments and thousands of epistolary exchanges between members of the Cimento and scholars throughout Europe. By looking at the sources in their entirety, it aims at systematically connecting the strictly experimental, theoretical and philosophical aspects of the Accademia with its intellectual history. The research will thus analyse the hundreds of experiments designed and conducted by the members, without losing sight of the specific context in which they were produced and disseminated. It will reassess the Cimento’s contribution to the development of a scientific lexicon and the materiality of its work, which was heavily reliant on the design and use of scientific instruments. The substantive body of correspondence – neglected by historians so far – will uncover members’ aims and philosophical concerns, (self-) censorship mechanisms as well as the Cimento’s ties with scholars in the founding process of other famous academies. This research will thus provide new insights into the origin of scientific institutions in the Early Modern period.

Keywords: institutionalisation of science,scientific academies,early modern natural philosophy,early modern scientific networks,self censorship
Nanostructured Confined ABX3 Perovskite based Light-Emitting Devices (ConPLED)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-04-01
End date: 2021-03-31
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

The development of low-cost, clean, and scalable energy solutions is imperative to securing a peaceful and sustainable future. Optoelectronic devices such as light-emitting diodes (LEDs) incorporating new, inexpensive materials show tremendous promise to alter the energy landscape by reducing the cost of energy consumption. However, the widespread adoption of LEDs demands new technologies to surpass the luminous efficacies of conventional LED light while having a full control over colour, brightness and directionality of the light source. Recently, a new class of semiconducting materials, ABX3 perovskites, is poised to revolutionise the LED field due to its ease of processing and outstanding electronic and optical properties. In this context, the ultimate goal of this proposal is the development of the first efficient white light LED based on luminescent nanostructured perovskites that feature tuneable on-demand emission properties. ConPLED will result in an alternative to commercial white LEDs, with the additional gain of having finely tuneable electroluminescence based on cost-effective materials processed at low temperature. The combination of perovskite nanocrystals that show quantum confinement effects with photonic nanostructures, an area where the researcher has demonstrated proficiency, will lead to fine control over the colour gamut, and the angular bandwidth of light emission. A deep understanding of the electro-optical and structural properties of such nanostructured emitting materials will lead to demonstrate efficient white light LEDs, which is one of the main activities of the Optoelectronics group at Cavendish Laboratory (University of Cambridge). The project covers the experimental realization of materials and their integration in devices as well as advanced characterization and performance tests, all of which lies in the common ground of physicists, chemists and technologists and, thus, will naturally broaden the area of expertise of the researcher.

Keywords: perovskite,white light leds,nanocrystals,quantum confinement,optical materials
RIS And Purification Traps for Optimised spectRoscopy (RAPTOR) (RAPTOR)

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: Finland
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-04-01
End date: 2021-03-31
Duration (months): 24.0
Total project cost (EUR): 190680.96
EU funding (EUR): 190680.96
Participants: 1
Project status: CLOSED

This project will enhance the capabilities of the laser spectroscopy programme at the Ion Guide Separator Online (IGISOL) and will culminate in a measurement of the spins, electromagnetic moments and changes in mean-squared charge radii of 108-120Pd. During the project, the experienced researcher will design, construct and commission a Collinear Resonance Ionization Spectroscopy (CRIS) beamline specifically tailored to this goal. Key new developments will be a novel ion beam neutralizer and the ability to tune the energy of the ion beam in order to optimize the total experimental efficiency and resolution. All this will be realized with a significantly reduced footprint as compared to conventional collinear laser spectroscopy beamlines. The new technique will first be tested with radioactive beams of silver, after which measurements on beams of radioactive palladium will be performed. These measurements will demonstrate significant improvements to the sensitivity of the high-resolution laser spectroscopy programme at the IGISOL. This Marie Curie project is proposed as the first step towards a long-term goal of coupling of a CRIS beamline to the existing double-Penning trap. This would provide significant advantages to both the CRIS and the Penning trap measurements. Upon completion, the RIS And Purification Traps for Optimised spectRoscopy (RAPTOR) project will thus have demonstrated a considerable expansion of the capabilities of the IGISOL laboratory, and will open up future avenues of research that can be pursued in the coming years or decades.

Keywords: electromagnetic moments,charge radii,exotic nuclei,high resolution laser spectroscopy,resonance ionization spectroscopy,beam purification methods,ion beam manipulation,technique development
ToxMate: Automated on-line and real-time monitoring of wastewater toxicity with ToxMate (ToxMate)

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: 2018-11-01
End date: 2019-02-28
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Urban centres, industries and agriculture produce large volumes of wastewater; in addition, the current population growth, accelerated urbanization and economic development are increasing the quantity and pollution of wastewater globally. Being a by-product of human activities, wastewater contains chemical, biological and physical pollutants, so it must be treated to remove all contaminants before it is released in the environment. Releasing untreated or inadequately treated wastewater is dangerous and has harmful effects on human health, the environment, and economic activities. Water quality after wastewater purification varies over time, even and especially during one single day, but managers do not have the necessary tools to monitor these variations. Currently available methods based on bioassays or physical and chemical parameters require sampling, conservation and transport, and are based on spot-sampling (1-2 times/year). These methods are not able to provide information on temporal variability and have low efficiency, durability, and specificity; they are also slow in providing results (at least 72 hours) and can’t allow real time monitoring. To overcome these limitations, ViewPoint has developed ToxMate: a tool for the automated real-time, on-site and on-line monitoring of wastewater toxicity. It is based on the simultaneous analysis of the locomotor behaviour of 3 different species of aquatic invertebrates and it uses infrared light and powerful and precise cameras to record continuously the activity of the animals. The system is composed of 3 panels, each containing 16 animals, so 48 animals can be analysed at the same time and for up to 30 days. ToxMate is fast: it can provide a result on water toxicity in just one hour, so it allows public authorities and water managers to measure the variation in wastewater and identify abnormal episodes, thus allowing quick interventions to optimize water purification and control treatment plants more efficiently.

Keywords: real time monitoring,water toxicity,automated
New STANDards for seismic assessment of built cultural HERITAGE (STAND4HERITAGE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced 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: Portugal
Call: ERC Advanced Grant (ERC-2018-ADG, 2018)
Start date: 2019-09-01
End date: 2025-08-31
Duration (months): 72.0
Total project cost (EUR): 2968755.0
EU funding (EUR): 2968755.0
Participants: 1
Project status: SIGNED

STAND4HERITAGE ambitiously engages in introducing new standards for safeguarding built cultural heritage for the next generations, which is a major societal demand. Due to its large diversity, the accurate description of the structural behaviour of heritage buildings is still an open issue, particularly when subjected to earthquake ground motions. Among the most frequently observed seismic damage mechanisms in these buildings, the out-of-plane of masonry walls is acknowledged as the main cause for building loss and injuries to people. There are many unresolved challenges to effectively assess the out-of-plane seismic behaviour of masonry structures. First, it is necessary to understand less known phenomena in masonry dynamics, which largely influence the out-of-plane behaviour and capacity of heritage buildings. A recent blind exercise to predict the capacity of a benchmark masonry structure to resist a dynamic excitation demonstrated that, although advanced simulation tools are available, leading international researchers are still unable to consistently provide a collapse estimate. STAND4HERITAGE will address the aspects for successful development of approaches for seismic response prediction of masonry structures, integrating the necessary stages for out-of-plane assessment. It will generate novel: integrated stochastic-based models to consider the seismic signal in the dynamic response and capacity; datasets of the dynamic response evaluated after an extensive shake table testing program; numerical approaches for simulation of the out-of-plane seismic behaviour; an integrated analytical approach for out-of-plane seismic assessment of heritage buildings. STAND4HERITAGE objectives are in line with the UN 2030 agenda for sustainable cities and communities. The project will be founded on the experience of the PI in the topic, and on the interdisciplinary expertise of his team in facing the challenges to provide optimal intervention solutions for heritage buildings.

Keywords: earthquake engineering,built cultural heritage,seismology
Decoding, Mapping and Designing the Structural Complexity of Hydrogen-Bond Networks: from Water to Proteins to Polymers (HBMAP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Switzerland
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-05-01
End date: 2021-04-30
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: CLOSED

Hydrogen bonds are ubiquitous and fundamental in nature, underpinning the behavior of systems as different as water, proteins and polymers. Much of this flexibility derives from their propensity to form complex topological networks, which can be strong enough to hold Kevlar together, or sufficiently labile to enable reversible structural transitions in allosteric proteins. Simulations must treat the quantum nature of both electrons and protons to describe accurately the microscopic structure of H-bonded materials, but this wealth of data does not necessarily translate into deep physical understanding. Even the structure of a compound as essential as water is still the subject of intense debate, despite extensive investigations. Identifying recurring bonding patterns is essential to comprehend and manipulate the structural and dynamical properties of H-bonded systems. Our objective is to develop and apply machine-learning techniques to atomistic simulations, and identify the design principles that govern the structure and properties of H-bonded compounds. Our strategy rests on three efforts: (1) recognition of recurring structural motifs with probabilistic data analysis; (2) coarse-grained mapping of the energetically accessible structural landscape by non-linear dimensionality reduction techniques; (3) acceleration of configuration sampling using these data-driven collective variables. Identifying motifs and order parameters will be crucial to interpret simulations and experiments of growing complexity, and will enable computational design of H-bond networks. We will focus first on two objectives. (1) Rationalizing the structure of crystalline, amorphous and liquid water across its phase diagram, from ambient to astrophysical conditions, and its response to solutes, interfaces or confinement. (2) Enabling efficient simulation and structural design of polymers and proteins in non-biological contexts, targeting biomimetic materials and organic/inorganic interfaces.

Keywords: molecular dynamics,atomistic modelling,water and hydrogen bonded systems,polymers and polypeptides,rare events,accelerated sampling,machine learning,clustering,data mining
Modeling Infectious Diseases in Dynamic Populations with Relocation and Refugeeism (MIDIDP)

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: Türkiye
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-04-01
End date: 2020-03-31
Duration (months): 24.0
Total project cost (EUR): 157845.6
EU funding (EUR): 157845.6
Participants: 1
Project status: CLOSED

The main purpose of this project is to create a realistic agent-based model to simulate the spread of infectious diseases such as measles, influenza, etc. in European and neighboring countries with their possibly under-vaccinated refugee populations. The model will be built upon two large-scale modeling platforms Framework for Reconstructing Epidemic Dynamics (FRED) and the Global Epidemic and Mobility Model (GLEAM). First we will create and curate realistic synthetic populations including residents and refugees by using various data sources such as Integrated Public-Use Microdata (IPUMS), Synthetic Populations and Ecosystems of the World (SPEW) for resident populations and World Health Organization, nongovernmental organizations, and country governments for refugees and relocated populations. Our model, with its forecasting capability of outbreaks, will help policy makers to mitigate outbreaks by assessing possible intervention mechanisms such as better handling refugees, vaccinations, school/workplace closures, antivirals, and social distancing methods. This project with its planned training program will help the researcher to transfer his knowledge in network modeling and analysis into a new field of large-scale agent-based modeling and simulation in a new institution in Turkey where there is a great need for these methods in public health.
Artificial Photosynthetic Stomatocyte for Intelligent Movement (APSIM)

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: 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: CLOSED

The discovery of first centimeter-sized chemical motors has brought great interest in the field of catalytic micro/nanomotors fabrication. By harnessing chemical energy from active fuels, nanomotors with long-range and sustainable movement have been achieved, promising their biomedical application. However, the potential side effect of active fuels and limited motion control still constrain the nanomotor field. Using biocompatible and abundant water as fuel to drive intelligent movement will enable an ideal nanomotor. The goal of this proposal is to exploit artificial photosynthetic water splitting to drive intelligent movement of stomatocyte nanomotor by taking inspiration from thylakoid, which has not been explored before. The highlight of this proposal is the compartmentalized immobilization of natural most efficient water oxidation catalyst, photosystem II and artificial metal-free water reduction catalyst, nitrogen-doped graphene quantum dots on stomatocyte nanomotor to drive translational and rotational motion by catalysing artificial photosynthetic water splitting. Motion speed and direction can be individually controlled for intelligent movement by regulating the translational and rotational motion. Solar energy is simultaneously converted into chemical and kinetic energy by the artificial photosynthetic stomatocyte nanomotor. This design will be a paradigm shift for future nanomotor development with controlled attributes driven by biocompatible resources, and artificial photosynthetic system development with high efficiency. The project clearly links to Marie Skłodowska-Curie Individual Fellowships work programme, which will diversify my individual competence in terms of skill acquisition through advanced training and international mobility together with strong two way transfer of knowledge.

Keywords: nanomotor,artificial photosynthesis,supramolecular,biomimetic system