Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Industrial IoT Communication and Analytics Platform for Smart Maintenance (ThingSight)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Spain
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-11-01
End date: 2017-02-28
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Thanks to ThingSight, manufacturing SMEs will be able to anticipate and avoid equipment failures by embedding a predictive maintenance solution within their products. ThingSight is an Internet of Things (IoT) Analytics system which generates and collects data from machinery and provides a flexible, scalable and easy-to-use analytics tool to help manufacturers in their daily machinery support and maintenance activities. This disruptive innovation provides important benefits for manufacturing SMEs: reduced equipment downtime (40%-60%) increased effective manpower utilization (75%-80%), increased production capacity (15%-40% for the short term, and 75%-80% for the long term), reduced labour and material costs (35%-60%) and increased machinery operating lifetime (33%-60%). ThingSight is particularly targeted at European SMEs (manufacturers and maintenance providers) which cannot afford the implementation of ad-hoc IoT systems. While existing alternatives are costly and require a high investment, the innovation of ThingSight primarily comes from our successful pay-as-you-grow model based on the number of devices. In Phase 1 we will conduct a research on the optimal algorithms and techniques for descriptive analysis, advanced analysis and machine learning. Additionally, we will select potential technological partners for the project. We will also develop a Business Plan to analyse the economic viability of ThingSight and prepare a detailed Financial Plan. ThingSight will contribute to the overall EU’s industrial growth strategy by providing advanced IoT tools to help manufacturing and maintenance companies to become more resource-efficient, by reducing machinery maintenance costs and increasing equipment lifetime operation.

Keywords: analytics,predictive maintenance,internet of things
StiMuli-responsive reActoRs for waTer purification (SMART)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept 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 Proof of Concept Grant (ERC-2019-PoC, 2019)
Start date: 2019-10-01
End date: 2021-07-31
Duration (months): 22.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Due to the many limitations of the conventional water treatment technologies, we are witnessing alarmingly high levels of micro-pollutants (MPs) such as antibiotics, pesticides, herbicides, estrogens, and pharmaceuticals, which enter our surface and groundwater ecosystems. In SMART project we propose to use novel catalytic membranes that have shown promising results in removing a variety of highly persistent organic compounds, with a removal efficiency of over 85%. Our membranes exhibit a unique ability to wirelessly generate surface charges under the influence of magnetic fields, light, and mechanical vibrations. These surface charges generate highly reactive radicals, which possess an excellent degradation tendency towards a wide range of problematic industrial pigments, pharmaceuticals, antibiotics, estrogen, pesticides, herbicides, and disinfectants. The goal of this project is to further enhance the water purification performance of our membranes by optimizing their composition, their shape and pore sizes, as well as the operational parameters, such as flow-rate and residence time. We plan to integrate these improved membranes within a portable water treatment reactor and study its performance in eliminating a variety of MPs from contaminated wastewaters. This prototype will then be used to conduct an extensive pilot-study at a Swiss hospital. Additionally, we plan to use our water purification prototype to provide demonstrations to our potential customers, and highlight the potential of our technology to remove over 85% of these problematic MPs, in a cost and energy efficient manner.

Keywords: water purification,redox processes,magnetoelectricity,catalysis micropollutants
Realistic and Informative Simulations with machine learnING (RISING)

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: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-09-01
End date: 2024-08-31
Duration (months): 36.0
Total project cost (EUR): 255768.0
EU funding (EUR): 255768.0
Participants: 2
Project status: SIGNED

Contemporary astronomical research relies heavily on simulations. However, the current state of the art has no objective way to measure how `realistic’ a simulation is, nor how informative it is with respect to the scientific questions it was designed to address. Comparison between simulation and observation is left to the subjective judgment of the individual researcher. The set up of simulation sets, the choice of parameters and ingredients to include, and the number of runs to execute are all also left to the researcher’s preferences, given hardware constraints. Numerical astronomy has, as of now, no shared standard of experiment design. Additionally, numerical simulations are often so slow and expensive that it is impossible to quickly and cheaply produce new outputs to improve statistical significance or for rapid prototyping new techniques. To address these issues, I will develop the RISING framework. RISING (Realistic and Informative Simulations with machine learnING) is a bundle of machine learning tools: anomaly detection tools to measure the realism of simulations, active learning tools to plan optimal sets of simulations under resource constraints, and generative modeling tools to obtain credible simulation outputs without running the underlying simulation. RISING will find immediate application on dynamical simulations of star clusters and hydrodynamical simulations of their parent clouds, which are being run in large numbers by the ERC-funded DEMOBLACK group led by my host, Prof. Michela Mapelli. RISING will be written in Python 3.7 using the Keras API on top of Tensorflow, integrated with frameworks for multi-scale, multi-physics simulations, such as AMUSE , whose author is Prof. Portegies-Zwart (Leiden Univ.) with which Prof. Mapelli has a current ongoing collaboration. The source code of RISING and selected data products will be made freely available to the numerical astronomy community.

Keywords: anomaly detection,generative neural models variational autoencoders,generative adversarial networks,numerical experiments,experiment design,active learning
CaaS – Car Charging as a Service for Smart Mobility (Navigato)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Bulgaria
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-10-01
End date: 2020-02-29
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Transport is one of the few sectors of the European economy where emissions levels are still rising and policymakers have been under increasing pressure to accelerate the shift to lower emission models. Late 2018, the European Parliament delivered the low carbon transport industry a major boost by approving draft laws that would impose tough new emissions cuts on carmakers and boost the number of electric vehicles (EVs) on the roads. However, despite more efficient car batteries, pole-top transformers, home solar panels and EV management solutions, range anxiety hampers growth. To bring it all together and boost EV adoption, Navigato represents a micropayment and location system for EV charging stations. Navigato can be used by all service providers along the mobility ecosystem supply chain to easily and securely exchange the usage, maintenance, financial transaction data with the vehicle, owners and drivers, V2V transactions as well as C2C transactions. The proprietary AI algorithms for performance improvement and grid planning helps our B2B clients to reduce gaps in their networks and improve quality. The main technological advance that allowed us to create Navigato in its current form is the emergence of IOTA, the first open-source distributed ledger that is being built to power the future of the IoT with feeless microtransactions and data integrity for machines. This gives us access to the mobility software market that is sized at least €808 million. We charge a micro payment transaction fee of 1-1.5% plus a monthly subscription fee of €15-€50 per charging stations/month. Our clients are EVSE operators, our end-users are EV drivers and owners and our providers are software and hardware (sensor, etc.) providers. Navigato can play a role in lowering emissions in Europe by assisting EVs to be adopted. Greenhouse gas emissions of EVs, with the current EU energy mix and over the entire vehicle life cycle, are about 17-30 % lower than the emissions of petrol cars.

Keywords: charging as a service,electric vehicles,charging stations,managment software
Novel porous graphite as cathodes for advanced aluminium-ion batteries (GAlBs)

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: Ireland
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-05-01
End date: 2021-04-30
Duration (months): 24.0
Total project cost (EUR): 196590.72
EU funding (EUR): 196590.72
Participants: 1
Project status: CLOSED

The demand for electric vehicles (EVs) is expected to rise significantly to ~55% of all new car sales by 2040. This would necessitate ~0.8 million metric tons of Li-metal for standard lithium ion battery (LIB) production. However, a market dominant EV-industry would only have sufficient Li-supply for at most 17 years due to inevitable shortfalls on sustainable-supply of lithium. Aluminium based rechargeable batteries (AlBs) offer tantalising prospect of high energy density batteries using components that can facilitate safe-by-design production of cheaper, durable and sustainable batteries. This battery technology, while having enormous potential as a replacement for LIBs, has not yet demonstrated viability due to critical limitations, primarily the lack of an efficient cathode material that can cycle Al3+ or Al-ion complexes for high energy density and stability. By far, the most plausible cathodes for AlBs are based on graphitic materials. However, present graphitic cathodes are inefficient due to serious design flaws. This project will develop a rapid synthesis protocol to fabricate a very unique graphitic material with unprecedented brain-like morphology and also develop mechanisms to control the intrinsic nanopore architecture. The project will conduct a detailed structural analysis and characterisation of the novel graphitic framework as a cathode for AlBs. This novel graphite holds the key to a significant breakthrough and will advance the development of AlBs by: 1) addressing the issue of poor electrolyte penetration and improve the sluggish reversible ion intercalation to boost rate performance and cycling, 2) improve the weak electronic/electrical conductivity properties of present cathodes, 3) overcome the problematic abrupt cathode disintegrating during cell operation, and 4) unveil the hidden cathode redox chemistry. The ER will emerge from this project with new/advanced skill-set and the capability to launch his own high-level scientific research.

Keywords: novel porous graphite,tuneable architecture,cathodes,aluminum ion batteries,high energy density
Surface for Urban Innovation: The Politics of Designing Poverty in Colombia and Czechia (SURBANIN)

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: Social Sciences and Humanities
Countries involved: Germany,United States
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-09-01
End date: 2024-08-31
Duration (months): 36.0
Total project cost (EUR): 246669.12
EU funding (EUR): 246669.12
Participants: 2
Project status: SIGNED

The SURBANIN project explores the global operation of social innovations that tackle urban poverty through architecture, art or design (AAD). Various schools, collectives and studios use AAD to help poor communities of the global South through innovating their material environment, but this trend is visible in the global North, too. Social innovations thus have played an increasingly important role alongside more established global and national social policies. However, regardless of their positive or negative impacts, they are very often locally decontextualised and isolated from the urban and cultural politics that make poverty. As a result, such innovations may not eliminate poverty, but rather redesign it. The project will compare “slums” in Colombia and homelessness in Czechia to establish a novel understanding of how innovations globally emerge and travel, how they are locally implemented and with what impact. Rather than fully embracing or rejecting AAD innovations, the project inquires why they are adopted and whether the context of adoption determines their outcomes. The research for this project, having been undertaken first by the Graduate School of Design at Harvard University and then by the Georg-Simmel Center for Metropolitan Studies at Humboldt University in Berlin, will focus on a number of heterogeneous social innovations: from cable cars and macro-murals in cities of Colombia to small-scale architectonic improvements and design innovations in homeless encampments in cities of Czechia. Combining cultural anthropology and its study of everyday life with the urban-sociological and urban-geographical emphasis on urban political economy, and with urban planning’s interest in the development and design of urban environment, the project addresses a number of EU and the United Nations priorities and goals and will provide crucial knowledge to develop new strategies and tools for tackling urban poverty in the contemporary world.

Keywords: social innovations,materiality,slums,homelessness,comparative research
Nanoparticle-based immunization, a novel therapeutic strategy for amyotrophic lateral sclerosis (NanoALS)

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: Life Sciences
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-03-01
End date: 2020-02-29
Duration (months): 24.0
Total project cost (EUR): 158121.6
EU funding (EUR): 158121.6
Participants: 1
Project status: CLOSED

As the life span of the population extends, the prevalence of neurodegenerative diseases is rapidly increasing representing a considerable impact for the quality of life and economy of many countries worldwide. Most of these diseases, including Amyotrophic lateral sclerosis (ALS) are currently considered as proteopathies, where some proteins (SOD1 in the case of ALS) adopt misfolded conformations prone to aggregate and cause cellular toxicity and motor neuron death. Moreover, these proteins are secreted to extracellular media contributing to the widespread of the disease in a prion-like manner, by acting as scaffolds for the misfolding of endogenous proteins when uptaken by surrounding cells. The aim of NanoALS is to bring together Neuro and Nanoscience fields to design a novel passive immunization therapy to target the misfolded SOD1 released into cerebrospinal fluid in ALS. It will be based on the systemic delivery of gold and PLGA nanoparticles functionalized with specific antibodies against the different isoforms of misfolded SOD1. These nanoconstructs will bind the different aberrantly folded SOD1 forms preventing their reuptake by neighbouring cells and blocking the cytotoxic epitopes exposed after misfolding. The multidisciplinary work program in NanoALS covers the synthesis of the functionalized nanoconstructs as well as validation of their therapeutic potential in neuronal cell lines and in the SOD1-G93A mouse model of ALS. Immunization against misfolded extracellular proteins has showed an encouraging success in ALS mouse models and in recent clinical trials with Alzheimer patients. Optimizing the delivery systems and targeting different misfolded isoforms as well as the active exploitation and dissemination strategy designed for NanoALS will maximize the benefits of these therapies both in ALS and other proteopathies.

Keywords: amyotrophic lateral sclerosis,passive immunization,nanoparticles,misfolded sod1,proteinopathies,neurodegeneration,nanomedicine,active targeting,theranostics
Beyond 5G multi-tenant private networks integrating Cellular, WiFi, and LiFi, Powered by ARtificial Intelligence and Intent Based PolicY (5G-CLARITY)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Spain,Spain,Spain,Ireland,Germany,Belgium,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: 5G Long Term Evolution (H2020-ICT-2019-2, 2019)
Start date: 2019-11-01
End date: 2023-02-28
Duration (months): 40.0
Total project cost (EUR): 5744885.0
EU funding (EUR): 5744885.0
Participants: 18
Project status: SIGNED

The first generation of 5G networks launching commercially in 2019 will focus on the eMBB service for the retail sector. Thus, public 5G networks will not be able to address, in the short term, the promise of novel critical communication services required by vertical users. Private 5G and beyond 5G networks are seen as a promising way to bridge this gap, allowing private venues to deploy the required 5G capabilities early on. Factories and private venues, like stadiums or transportation hubs, are seen as key early adopters of these technologies. 5G-CLARITY puts forward a beyond 5G architecture for private networks, which features a novel access network integrating 5G, WiFi, and LiFi, compute and transport resources, and novel management components to enable AI driven network automation. Based on this architecture, 5G-CLARITY will define communication services that deliver measurable enhancements with respect to the eMBB and URLLC services defined by 3GPP in Release 16, in terms of low latency, area capacity, reliability, and accurate positioning and synchronization capabilities. In addition, 5G-CLARITY will develop a management plane featuring SDN/NFV components together with an AI engine that will automate network management by receiving high level intent policies from the network administrator. 5G-CLARITY brings together an ambitious consortium that ensures the delivery of the project innovations to standard bodies, where 3GPP, O-RAN, IEEE802.11bb, and ETSI-ZSM, have already been identified as preferential targets. Finally, the 5G-CLARITY technology will be demonstrated in two relevant use cases, including a human-robot interaction application in a museum in Bristol, and a network slicing and AGV positioning application for Industry 4.0 services in a factory near Barcelona. Potential for individual and joint exploitation of the project results has already been identified during the proposal preparation phase.

Keywords: private networks,multi tenancy,lifi,positioning,critical communications,cognitive network management
Magnetic Sensors based on Two-Dimensional Materials/Si (2DSi)

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: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-08-03
End date: 2017-08-02
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Magnetoresistance sensors based on the change in electrical resistance upon an external magnetic field are widely used in day to day applications. The magnetic sensor industry sells billions of dollars worth of sensors every year and there is an ever-growing demand for magnetic sensors with high sensitivity, small size, low power consumption and low cost with compatibility with existing electronic systems. The project aims to develop a new class of highly sensitive magnetoresistance sensors based on doped Si and two dimensional (2D) layered materials, with a focus on single layer graphene and single layer WS2 which could be easily extended to other low dimensional layered materials. This plan will utilize the advantages of tunnelling through SiO2, gate tunability of 2D materials and the geometry of Si to obtain highly sensitive magnetic sensors from Si, which is very unique and novel. The large magnetoresistance observed in graphene by the applicant's group (Gopinadhan et al. Phys. Rev. B 88, 195429 (2013)) can be utilized to get an additional positive change in total resistance per unit applied magnetic field for higher sensitivity. Si can be integrated monolithically, in contrast, 2D layered materials such as graphene possess excellent electrical, thermal and mechanical properties. Its high mobility of carriers are very attractive for high speed applications. The interface between Si and 2D materials are little explored, however there is an enormous technological interest for applications such as graphene-based transparent electrodes in Si solar cells, high speed non-volatile flash memory, microwave switches, voltage controlled diodes, logic devices etc. Furthermore, most of the existing magnetic sensors are electron based and the possibility of both n and p type magnetic sensors due to the electric field tunability of 2D materials may provide new applications such as magnetic sensor and diode (p-n junction) in one active device.

Keywords: interface,tunnelling transport