Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
dataFlow: A Data-driven Fluid Flow Solving Platform (dataFlow)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Germany
Call: ERC Proof of Concept Grant (ERC-2018-PoC, 2018)
Start date: 2019-06-01
End date: 2020-11-30
Duration (months): 18.0
Total project cost (EUR): 149500.0
EU funding (EUR): 149500.0
Participants: 1
Project status: CLOSED

With the recent breakthrough of deep learning methods, we currenty see the advent of employing this methodology in the context of physical simulations. Such simulations are widely used in numerous industrial fields, starting from car and airplane manufacturers, over computer graphics and animations to medical blood flow simulations. The market for computer simulations is currently exceeding 15 billion USD world wide, with rising trends, and 3 billion spent in Europe alone. A significant fraction of these simulations focuses purely on solving various forms of the Navier-Stokes equations. While right now virtually all of these simulations use traditional solvers, we estimate than only a few years from now there will be a significant fraction of deep learning powered solvers. Thus, we are at the right point in time to lay the foundations for commercializing the technology of deep learning for fluid simulations. The goal of this PoC project is to develop a first commercial flow solver based on deep learning that can predict fluid flow solutions almost instantly using a pre-trained model. This project will enable the team of Prof. Thuerey to mature the algorithms developed as part of the ERC Starting Grant \realflow, and turn them into the basis of a marketable product. The initial models will be thoroughly tested and validated, in order to satisfy industrial requirements for reliability and accuracy. In addition, this PoC aims for establishing a platform for flow data collection, interface standards, and trained models. This platform will be developed in conjunction to the deep-learning powered flow solving application, and provide research connections and publicity in parallel to it.

Keywords: numerical simulations,machine learning
Sugar Pot manufacture in western Europe in the medieval and post-medieval period (11th-16th centuries AD) (SPotEU)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-10-01
End date: 2022-02-07
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 1
Project status: CLOSED

The SPotEU project explores the development and impact of sugar production in western Europe through the study of sugar pot manufacture from an interdisciplinary perspective, integrating archaeological and historical research with material science and material culture approaches in an innovative way. Sugar production and consumption followed the Islamic expansion in the western Mediterranean and had a huge impact on European social, cultural and economic development since medieval times. The introduction of sugar cultivation entailed knowledge transfer and new technological requirements, such as the manufacture of sugar pots, used for the crystallization of the sugar, which require specific design, thermal and mechanical properties. The project focuses on Sicily and Spain, the two main regions for sugar production in western Europe in the 11th-16th centuries AD. Sugar pots from these regions will be assessed on a morphological, technological and performance point of view aided by instrumental analysis (Petrography, SEM, XRF, XRD, porosity, mechanical and thermal stress test) and software modelling (FEM). The comparison with reference ceramic materials and written records will allow the investigation of the scale of ceramic production and exchange networks, as well as potters’ technological choices in the construction of these on-purpose vessels. For the first time, sugar pots from western Europe will be examined in such technological detail that will allow the assessment of the way in which the performance of vessel was influenced by technological choices and by design, giving new insights on knowledge transfer and technological innovation across the Mediterranean in late medieval and post-medieval times. In contrast to previous studies based on written sources, this project uses a bottom-up approach and it will shed light on the role of craftspeople in the development of the first industrial activity in modern Europe by a detailed technological analysis of sugar pots.

Keywords: sugar pots,ceramic analysis,material culture,technology transfer,technological innovation,technological choices,manufacture specialisation,sicily,spain,medieval period,post medieval period
Regulation of mechanotransduction through motor-molecules activation of focal adhesion kinase in progressive fibrosis (MECHANO FIBROSIS)

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: Life Sciences
Countries involved: Germany,United States
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 264669.12
EU funding (EUR): 264669.12
Participants: 2
Project status: SIGNED

Mechanical forces drive fundamental physiological functions in living organisms, yet it remains unclear how forces are transduced into intracellular biochemical signals. Mechanotransduction is a tightly regulated process, and its disruption often results in pathologies including tumorigenesis, chronic inflammation and fibrotic conditions. Crucially, recent studies have shown an important relationship between abnormal fibrosis and altered patterns of focal adhesion kinase (FAK) activity and cell adhesion. Prof. del Campo laboratory has pioneered the use of photo-triggerable ligands to spatiotemporally control cell adhesion and recently, Prof. García has demonstrated in vivo that spatiotemporal control of cell adhesion modulates fibrosis. In addition, Prof. García has demonstrated a strong relationship between cells adhesive force generation and FAK activation at individual focal adhesion (IFA). Despite the importance of FAK signalling in cancer and other pathologies, the mechanistic link between the FAK activity at individual focal adhesions and fibrosis remains elusive. To close this gap in our knowledge, there is a need to develop technologies capable of recapitulating dynamic force transmission at individual focal adhesions. This project aims to elucidate the molecular events that regulate FAK activity during force transmission and sensing of mechanical force at individual focal adhesions. I will combine novel molecular devices, light-activated cell-specific adhesive ligands and microscopy tools to in situ apply controlled forces at individual FA and measure cell responses in 2D, 3D and in vivo contexts. Importantly, FAK loss- and gain-of-function experiments will provide the functional importance of FAK during mechanotransduction. The fundamental investigation of mechanotransduction events will greatly advance our understanding of cell biology and inform future targets for fibrosis therapy, as mechanical forces is a driving factor in fibrosis progression.

Keywords: 4d hydrogel,synthesis,fak activity,molecular motors,fret biosensor,mechanical forces,skinfold window chamber animal model
Nanosensors manufacturing (NANOMAN)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: France
Call: Accelerating the uptake of nanotechnologies advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-08-01
End date: 2017-01-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

NANOLIKE uses an innovative variant of Convective Self-Assembly (CSA) which allows the assembly of nano-objects on a large variety of supports with a high flexibility. With this unique process worldwide, NANOLIKE has developed a new generation of nanosensors which are 100x smaller, 50x more sensitive and 10 000x less energy consuming than other sensors. This innovation is interesting for three worldwide markets. The Internet of Things market lacks of strain sensors suitable for their specific requirements (low-cost, low-energy, high sensitivity, small size, easy to integrate). The tests & measurements and sensors markets need low-cost, low-energy sensors, a high reliability and the possibility to build networks of sensors. NANOLIKE’s strategic plan is to conquest the emerging IoT market by achieving large enough production volumes to propose attractive costs. When the long-term performance and robustness of the nanosensors will be demonstrated, NANOLIKE will be able to penetrate the sensors market and to increase its market share on the tests & measurements market by substituting the existing solutions by its disruptive nanomaterials based solutions. In the feasibility assessment, NANOLIKE will refine its knowledge of the competitive environment, improve the initial business offer, protect the innovation project, prepare the scaling-up phase, update its first commercialization strategy and adapt its business plan. Then, in the Phase 2, NANOLIKE will set-up the industrial facility capable to manufacture nanosensors with a total yielding capacity of 1 million units per year with a cost lower than €5 per unit and undertake demonstrations with major customers. This is the aim of the NANOMAN project. The company, a spin-off of the Nanotech team from the Lab. of Physics and Chemistry of Nano-Objects, illustrates the potential of the nanotechnology that the EU has recognized as a KET. NANOLIKE will bridge the gap from lab to market, grow and create highly skilled jobs.

Keywords: nanoparticles,internet of things,tests,sensors,low consumption,networks of sensors
Sustainable Modular Architectural System (S.M.A.S.)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Italy,Italy
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-1-2015, 2015)
Start date: 2016-03-01
End date: 2016-08-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 2
Project status: CLOSED

SMAS - Sustainable Modular Architectural System aims at market for modular buildings in the field of Construction Industry with innovative technological solutions and energy efficient product SMAS is the industrialization and commercialization fallout of PR.I.M.E3 - Procedures & Innovation for Modular buildings Energy-Efficient and Eco-friendly - a 3-year pre-industrialization research project, co-funded by Italian Ministry of Environment. SMAS module unit has a floor area 50 m2; the varying combination of modules allows for different architectural solutions by type and sizeto the realization of Eco Villages. Main object of this proposal is to industrialize the whole process. Environmental benefits: reduction of 80% of net energy demand and relevant carbon emissions compared to traditional structures. The primary energy demand for winter heating and DHW allows to place the SMAS building module in energy class A +, providing an energy intensity equal to 6.93 kWh / m2 per year. SMAS integrates the following innovative subsystems components: - bearing structure - patented – using recycled and recyclable Metal alloy profile; recycled / recyclable - thermal insulation- patented- made of recycled industry-waste materials - H-NAC (Hybrid-Natural Air Conditioning) Wall – patent pending – including controlled natural ventilation and passive cooling techniques; - waste water cycle – recovery of thermal energy by grey water reuse; - home management automation The greater speed and simplicity of structure realisation in place due to both the totally dry assemble of the various elements of modular building and the ability to pre-assemble it by prefabricated structures, makes the system particularly suitable in case of emergency related to natural disasters or refugees migration

Keywords: smes,energy efficiency,building sector,construction industry,innovation,modular building,sustainable architecture,prototype
Building a computational basis for the brain response in the left ventral occipito-temporal cortex: Understanding the Sparse Familiarity Model of visual word recognition (SFM4VOT)

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: Social Sciences and Humanities
Countries involved: Germany
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-04-01
End date: 2018-07-15
Duration (months): 24.0
Total project cost (EUR): 171460.8
EU funding (EUR): 171460.8
Participants: 1
Project status: CLOSED

The left ventral occipito-temporal cortex (lvOT) is an integral part of the ventral visual processing stream and is consistently activated in response to visual words. Recently, I developed a computational implementation of the lvOT functioning during visual word recognition, the sparse familiarity model (SFM). The single assumption of the SFM is that the statistical patterns of letter string familiarity are the fundament of lvOT functioning. The SFM is able to simulate prominent lvOT benchmark contrasts and its simulations predict brain activation of the lvOT in multiple fMRI studies. The main aim of the present proposal is to use the model to systematically investigate hotly debated topics in word recognition research concerning current theoretical approaches for the lvOT: (1) The influence of learning and (2) domain specificity (i.e. for words) vs. generalization (i.e., to face and object recognition) of lvOT function and neuronal populations. In the course of these investigations, the SFM will be developed into a learning model and a generalized model for word, face, and object recognition. Central to this will be high-density electrophysiological measurements (MEG) that sample brain activation with high temporal resolution and reasonable spatial resolution, to allow connectivity analysis at different time points. The MEG measurement, in addition to fMRI measures, will be essential to test theoretical assumptions concerning the proposed two stages of the SFM that differ fundamentally in terms of neuronal and cognitive mechanisms. Critical will be the association of these stages to different time windows and assumptions about the brain networks involved. The host, Prof. Fiebach at Frankfurt University, has a strong focus on the neurocognitive basis of language and access to an MEG, which is essential for realizing this project. To summarize, the goal of the project is to establish the sparse familiarity model and extend its functioning to resolve current debates.

Keywords: visual word recognition,left ventral occipito temporal cortex,letter string familiarity,computational modeling,learning,face recognition,object recognition
A fully Robotic and 3D Printing solution for large scale building delivery (Evo Constructor)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-05-01
End date: 2019-09-30
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

3D Printing for construction sector is booming in the last few years, emerging as an automated manufacturing process that produce complex shape geometries automatically from a 3D computer design model. Although construction 3D Printing has become a revolutionary technology for building, the industry will have to face many challenges related to scalability, work at heights, delivery system, suitability to adverse environment and initial investments. Aware of the limitations of current 3D printing systems for construction, we have developed Evo Constructor, which is a unique mobile system based on a robotic machinery technique that allows to automate all the constructive processes necessary for the execution of buildings and other civil works. The great innovations that differentiates Evo Constructor from any current alternative in the market are its unique cloned axis system, the economic and environmentally friendly characteristics and its self-climbing system, which translates into important cost and time savings. Now, we already have the support of potential customers within the building sector. Nevertheless, we still need to carry out full operational test to validate our solution for its subsequent commercialization. Our market, the 3D Printing Construction Market, was valued at € 0.06bn in 2017, and it is estimated to grow with a CAGR of 78% reaching € 40bn by 2027. Based on our commercialization plan we will offer our solution mainly to construction companies of the building sector, but also architecture studies. It will include the sale and rent of Evo Constructor, but also maintenance and consultancy services. Following our business strategy, we establish an average price of € 0.82M per unit for sale, and € 287k for 6 months rental. Based on the profitability of the project we expect a cumulative revenue of € 22.4M by the third year, meaning a cumulative cash flow of € 13.1M. Considering a total investment of € 1.5M, we expect to get a ROI of 463% by 2022.

Keywords: 3d printing,building,civil works
Ostomy Market Disruption: First Leak Proof Ostomy Appliance removing the need for Accessories in the Ostomy Market (Osto.Me)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Ireland
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2020-04-01
End date: 2020-09-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Over 10 million people globally rely on ostomy pouches to collect and manage their body waste as a result of many illnesses treated through surgery. We are introducing first intuitive personalised leak free appliance to capture 50% of the global ostomate market creating a €2 billion company. Everywhere Medical Ltd is an Irish user led company who have developed Osto.Me through a highly interactive and iterative development pathway with user focus groups and clinical specialists to deliver a truly market leading, user endorsed, ‘re-think’ of the ostomy appliance.

Keywords: ostomy care stoma care continence care
New species, processes and products contributing to increased production and improved sustainability in emerging low trophic, and existing low and high trophic aquaculture value chains in the Atlantic (AquaVitae)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Cross-cutting marine and maritime research
Action type: Research and Innovation actions
Countries involved: Spain,Ireland,South Africa,Iceland,Germany,Spain,Spain,Spain,Ireland,Norway,Namibia,Sweden,Norway,Sweden,Norway,France,United States,Faroe Islands,Denmark,Portugal,Canada,Brazil,United Kingdom,Portugal,Denmark,Portugal
Call: All Atlantic Ocean Research Alliance Flagship (H2020-BG-2018-2, 2018)
Start date: 2019-06-01
End date: 2023-11-30
Duration (months): 54.0
Total project cost (EUR): 8748035.0
EU funding (EUR): 8000000.0
Participants: 39
Project status: SIGNED

The overall objective of AquaVitae is to increase aquaculture production in and around the Atlantic Ocean in a sustainable way by developing new and emerging low trophic species and by optimising production in existing aquaculture value chains. The value chains that AquaVitae will focus on include macroalgae production, integrated multi-trophic aquaculture, and production of new echinoderm species as well as existing shellfish and finfish species. A series of cross-cutting Work Packages (WPs) will include research on biosensors, Internet of Things (IoT), product characteristics, consumer attitudes, market potential, sustainability, environmental monitoring, risk assessment, analysis of value chains, profitability, and other socioeconomic aspects. AquaVitae will contribute to various policy dialogues and produce briefs on policy and governance issues. The AquaVitae consortium consists of 36 full partners from Europe and countries bordering the Atlantic Ocean, in addition to an Industry Reference group, a Policy Advice Group, and an External Advisory Group. AquaVitae supports extensive communication and outreach activities, employs a multi-actor approach to ensure stakeholder engagement in all phases of the project, and will set up a durable aquaculture industry and research network around the Atlantic Ocean. Industry partners are present in all case studies, and they have a special responsibility for exploitation and commercialization of the project research results and outcomes. AquaVitae will have a lasting impact on society through the introduction of new species, and through the development of new processes and products based on a circular economy / zero waste approach with improved sustainability. AquaVitae will produce Good Practice standards, facilitate industry apprenticeship and student exchange, support extensive training programs for industry, academia, and the public, and contribute to the implementation of the EU-Brazil-South Africa Belém Statement.

Keywords: aquaculture,atlantic ocean,bel m statement,low trophic species,integrated multi trophic aquaculture imta,macroalgae,echinoderm,sea urchin,sea cucumber,shellfish,oyster,mussel,biosensor