Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Next Generation Lean Lab Digital Platform combining AI, Visual Management Tools & Touch Screen Technology (LeanLab) (LeanLab)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Ireland
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-12-01
End date: 2019-05-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Laboratories are under pressure to improve accuracy, process higher workloads and expanding test menus, as well as become more efficient by reducing costs and using fewer staff. To achieve this, they must significantly improve productivity. Only currently available solution is consultancy implemented soft ‘paper and spreadsheet’ lean lab system, which is expensive, inflexible and not sustainable over time; it also cannot address more complex issues such as workload volatility (dips and peaks, volumes and test mixes) – a key area for achieving productivity savings. LeanLab cloud-based solution by Plan Domino addresses these issues cheaper, better & sustainably by offering the first ever digital platform on the market. This important innovation was inspired by absence of alternatives and incorporates latest technologies, including artificial intelligence (AI). It will have transformative impact on the target customer: 30% productivity improvement, 45% test error reduction, 25% staff turnover reduction + 35% time reduction, translating into significant costsavings. This has attracted customer traction and investor interest even at this early stage. With a revenue model based on a SaaS subscription service and through availability of local strategic partnerships in international markets, LeanLab is easily scalable and has the potential to achieve a turnover of over €19 million in global sales, achieve an estimated €11 million in profit and create 112 direct jobs by Year 5 of trading in a market worth over €5 billion by 2022 and a CAGR of 5.1%. Commercialisation of LeanLab is led by a strong core project team with complementary skills & experience – including firsthand knowledge of the industry and target market, established relationships with labs in Europe & US. LeanLab project will enable piloting of the platform at customer sites (to achieve TRL7) and other validation activities to pave way for the next steps of developing a software version that is market ready.

Keywords: lean laboratories,quality systems,productivity,workload volatility
Implementing Multi-Party Computation Technology (IMPaCT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Belgium,United Kingdom
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-10-01
End date: 2022-03-31
Duration (months): 66.0
Total project cost (EUR): 2499938.0
EU funding (EUR): 2356385.5
Participants: 2
Project status: CLOSED

The goal of IMPaCT is to turn Multi-Party Computation (MPC) from a stage in which we are beginning to obtain practical feasibility results, to a stage in which we have fully practical systems. It has long been acknowledged that MPC has the potential to provide a transformative change in the way security solutions are enabled. As it presently stands this is currently only possible in limited applications; deployments in restricted scenarios are beginning to emerge. However, in turning MPC into a fully practical technology a number of key scientific challenges need to be solved; many of which have not yet even been considered in the theoretical literature. The IMPaCT project aims to address this scientific gap, bridge it, and so provide the tools for a future road-map in which MPC can be deployed as a widespread tool, as ubiquitous as encryption and digital signatures are today. Our scientific approach will be to investigate new MPC protocols and techniques which take into account practical constraints and issues which would arise in future application scenarios. Our work, despite being scientifically rigorous and driven from deep theoretical insight, will be grounded in practical considerations. All systems and protocols proposed will be prototyped so as to ensure that practical real world issues are taken into account. In addition we will use our extensive industrial linkages to ensure a two way dialogue between potential users and the developers of MPC technology; thus helping to embed future impact of the work in IMPaCT. Our workplan is focused around key scientific challenges which we have identified on the road to fully practical MPC applications. These include the design of methodologies to cope with the asynchronicity of networks, how to realistically measure and model MPC protocols performance, how to utilize low round complexity protocols in practice, how to deal with problems with large input sizes (e.g. streaming data), and many more.
Unraveling molecular quantum dynamics with accelerated ab initio algorithms (MOLEQULE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Switzerland
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-09-01
End date: 2022-02-28
Duration (months): 66.0
Total project cost (EUR): 1998638.0
EU funding (EUR): 1998638.0
Participants: 1
Project status: CLOSED

Many physical and chemical processes in nature as well as an increasing number of man-made devices exploit the quantum properties of electrons, nuclei, and the quantum signatures of the coupling between nuclear and electronic motions. To optimize the design of novel devices and to correctly interpret physical processes studied, e.g., by experiments probing the molecular dynamics induced by interactions with ultrafast laser pulses, quantitative simulations are required. Although ninety years have passed since the discovery of Schrödinger’s equation, these simulations remain extremely difficult for systems with more than a few degrees of freedom. While some physicists are satisfied with a theoretical model that describes the system qualitatively, in chemistry the promising term ``ab initio quantum molecular dynamics'' is frequently misused for methods treating nuclear motion classically and using quantum mechanics only for electrons. The first goal of this project is, therefore, to bridge these two philosophies and combine accurate ab initio electronic structure calculations with accurate quantum or semiclassical treatment of the nuclear dynamics. Since the exact solution of time-dependent Schrödinger’s equation scales exponentially with the number of atoms, accelerating computers even by orders of magnitude will not break the exponential barrier to simulating molecular quantum dynamics. The second goal of this project is, therefore, developing and implementing both exact and approximate computationally efficient quantum dynamics methods applicable to polyatomic molecules. The last goal of the project is developing systematic methods for interpreting spectra of complex systems in terms of the underlying nuclear and electronic dynamics. To summarize in simple terms, the ultimate objective is developing theoretical methods that will allow replacing the popular classical molecular dynamics movies by their quantum analogs.
Small satellites’ strategic analysis of realization potential and commercialization techniques (SatStart)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Germany,Germany
Call: ERC Proof of Concept Grant (ERC-2015-PoC, 2015)
Start date: 2016-09-01
End date: 2017-08-31
Duration (months): 12.0
Total project cost (EUR): 149823.75
EU funding (EUR): 61825.0
Participants: 3
Project status: CLOSED

A formation of small satellites, as developed within the ERC Advanced Grant "NetSat", promises great market potential because of failure tolerance and low cost at the same time, and large growth prospects for small satellites - a disruptive technology with the potential to change current “rules of the game”, becoming a feasible option for industrial application thanks to tremendous cost reductions as compared to large satellites (lower weight, shorter development cycles/ time-to-market, and lower risk). The commercial applications for the ERC “NetSat” project are three-fold: (1) communication (particularly in the machine to machine (M2M) context), (2) traffic management (e.g., for autonomous driving), and (3) earth observation (where larger numbers of small satellites offer higher temporal resolution). As space for the operation of small satellite formations is restricted and primarily US-based, VC-backed start-ups are already competing in the market (e.g., SpaceX, OneWeb), large-scale and timely investments are needed for the ZfT to select and implement the most appropriate business model to successfully compete in this market. None of the competitors in the small satellite market seem to focus on providing M2M services, and they operate a constellation instead of a formation of satellites, i.e., the satellites are controlled individually from the ground, which makes formations not only technologically superior but also in line with the upcoming trend of connected devices. For timely commercialization, the ERC PoC Grant will provide the needed financial resources for securing IP and an evaluation of 4 potential business models - i.e., (1) a vendor-, (2) a licensing-, (3) a system provider- and (4) a data provider strategy, and the drafting of a business plan within 12 months for the most promising one(s) based on detailed data and analysis from a cross-disciplinary research team seeking to attract large-scale financial investments and corporate partners.

Keywords: disruptive technology,small satellites,formation,earth observation,communication,traffic services,commercialization,business strategies,market analysis
Molecular 'Click-tronics': Surface-based synthesis of single-molecule electronic components (MOLCLICK)

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: Chemistry
Countries involved: France,United States
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-10-01
End date: 2018-09-30
Duration (months): 36.0
Total project cost (EUR): 246668.4
EU funding (EUR): 246668.4
Participants: 2
Project status: CLOSED

How can single-molecules be best utilized in electronics? Feature sizes of integrated circuits will reach this scale in 10-20 years (Moore’s Law). Typical molecular studies involve surface self-assembled components first synthesised elsewhere (ex situ). Yet surface-based (in situ) preparations offer several distinct synthetic advantages – also simplifying the construction of otherwise difficult to prepare asymmetrical surface-bound motifs. In this project I will (i) explore unconventional in situ syntheses of single-molecule electronic components, and (ii) develop scanning tunnelling microscopy (STM) techniques to assess the success of chemical reactions at the single-molecule scale. High yielding and versatile (e.g. ‘Click’ ) reactions will prove invaluable in this context. My largely unexplored approach will be used to rapidly screen novel single-molecule diodes and wires, improving rectification ratios and conductance. It will also be applied to produce complex molecular ‘test-beds’, allowing electron transport to be probed through single-molecules orientated parallel to the surface (enabling studies of mechanically weak analytes). This research has broad application and far-reaching impact in data storage and computation (‘wiring-up’ molecules in circuits), and will open up exciting possibilities in sensing and catalysis. Project results, and nano-science in general, will be actively promoted through a series of Outreach workshops, lectures (implemented in Europe) and a new internet blog, ‘Nanotechnology, Translated’ (contributing to the growing international science blogosphere). A planned secondment to the microelectronics industry will provide commercial and technical insights useful for securing funding and developing future technologies over the next two decades. The new collaborations and enhanced international profile, networks and training provided by this Fellowship will ultimately prove pivotal in helping me establish my independent academic career.
Breakthrough self-charging remote monitoring device for smart rail freight wagons to enhance sustainability of railway sector (AxleRing)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Czechia
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-06-01
End date: 2019-11-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Railway plays a central role in European logistics and it is continuously growing. With the increasing importance of rail transport as the greenest mode, there is an urgent need on safety, efficiency, performance and availability to ensure its sustainability. Companies acting in railway sector are under cost pressure which triggers the need for optimization and higher productivity, mainly through digital solutions and innovations. Owners of railway wagons such are railways, wagon manufacturers and keepers and logistic companies, seek the possibility of smart solutions for continuous remote monitoring of their expensive wagon flotillas and loads. They could save billions on maintenance and transportation costs if they know which wagon has to be maintained in which time and achieve better visibility over their supply chain. Broad economic, social and environmental impacts of a commercializing the patented self-charging remote monitoring AxleRing device are centred mainly on prevention of derailments, protection of expensive assets and loads together with optimization of maintenance and logistics, resulting in considerable savings, higher productivity and saved human lives. The aim of this project that belongs to the TRL 6 is to develop marketing and deployment process and organization to support internationalization of AxleRing. The feasibility study is focused on assessment of “go-to-market” options, extension of the legal protection and business plan update. AxleRing project aims at generating annual turnover of 45 million EUR by the end of 2021. The project is a strategic initiative for growth and transformation of the company from an innovation-driven entity, to a market-oriented SME with scale-up partnership based business model. The aim of the Phase 1 project is so to check the feasibility of scaling-up the AxleRing concept for commercialization and bring this breakthrough innovation to European and North American markets, e.g. by the SMEI Phase 2 funding.

Keywords: monitoring,railway,wagon,gnss,sensors
Disentangling the stringent response to engineer novel anti-persister drugs (DiStRes)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Biotechnology and Biosystems Engineering
Panel description: Biotechnology using all organisms, biotechnology for environment and food applications, applied plant and animal sciences, bioengineering and synthetic biology, biomass and biofuels, biohazards
Countries involved: Belgium
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-12-01
End date: 2025-11-30
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

Bacterial “superbugs”, refringent to antibiotic treatments, have rapidly increased with the turn of the century. Slow growing, dormant cells (known as persisters) are subpopulations of bacteria that tolerate antibiotics and are considered a primary source of infections for antibiotic-resistant pathogens since they are difficult to eradicate in conventional ways. Mutations in RelA/SpoT (RSH), the effectors of the stringent response, promote antibiotic tolerance and persistent infections and are commonly selected in clinical settings of a variety of pathogens. However, despite the importance of the RSH-mediated stringent response, there is no comprehensive knowledge on the inner workings of the enzymes, or drugs that modulate the bacterial response to stress. Modern structurally biology is currently in the midst of a revolution comparable to that of the Genomic breakthrough of the end last century. This has facilitated access to structural information and increased the accuracy of the modeling and design of de novo structures of proteins and small molecules. Thus my overarching goal is to target key steps in the molecular mechanisms of ppGpp synthesis and hydrolysis catalysed by RSH enzymes, to discover active compounds against persisters. The highlight of this proposal is a new system biology approach that combines cellular microbiology (at a single cell resolution) with structural engineering, biophysical, biochemical and chemical-biology methods to design, screen and validate novel small molecule drug candidates targeting the stringent response. Based on preliminary keystone results from my group, we devised a proof of concept experiment for which we designed a catalogue of novel modulators of the stringent response customized to target bacteria in a specific or broad spectrum way. The success of this exercise guarantees this strategy will not only deliver new antipersister compounds and biotech tools, but will also impinge fundamental research in microbiology.

Keywords: drug discovery,system biology,bacteria,persistence,antibiotics,rela,spot,ppgpp,macromolecular engineering
FORMING OF MICROPERFORATED OUTER SKIN OF HLFC WINGS ASSISTED BY FEM SIMULATON (MICROFORM)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Spain,Germany,Germany,Spain
Call: Development and simulation of a forming process for LE HLFC wing outer skins (H2020-CS2-CFP10-2019-01, 2019)
Start date: 2020-05-01
End date: 2023-06-30
Duration (months): 38.0
Total project cost (EUR): 1605200.04
EU funding (EUR): 1299601.28
Participants: 4
Project status: SIGNED

One of the main challenges on Hybrid Laminar Flow Control (HLFC) wing design, is to integrate the HLFC systems (vacuum chambers, pipes…etc.) inside the small space of the leading Edge, together with de-icing and high lift systems. Clean Sky 2 aims to reduce HLFC complexity by using variable pitch microperforations along the outer skin in order to control suctions without necessity of internal chambering. Variable microperforation entails a new challenge that must be investigated before deciding on the most suitable skin forming technology and material for new generation of HLFC demo structures, which will contribute to reduce 10% both fuel consumption and pollutant emissions in future aircrafts. To achieve this goal, MICROFORM project will develop i) a suitable forming process for the real-scale manufacturing of leading edge HLFC wing outer skins and ii) supporting simulation tools to minimize initial process development costs of large structures composed by both constant and variable microperforation patterns meeting requested quality criteria and dimensional tolerances. The achievement of these objectives will result in the following Key Exploitable Results: − Material property data of microperforated Ti Gr 2 and Ti Gr 5. − New knowledge about possibilities and limitations to form titanium microperforated sheets with variable patterns. − Hot and stretch forming process parameters and conditions for aimed materials and geometries. − Hot and stretch forming simulation tool. − New knowledge about possibilities and limitations to reduce manufacturing costs of large forming tools. The implementation of MICROFORM is carried out by a multidisciplinary consortium, formed by research and industrial entities who are experts in the development of simulation tools (LORTEK, HZG) and forming technologies (SOFITEC, FORMTECH) to manufacture small and large-scale demonstrators of microperforated titanium sheets for leading

Keywords: stretch forming,hot forming,fem simulation,microperforated titanium,variable pitch,hlfc wing
DD-SCAN – AI-based language and multimedia bias checker for corporate communication content (DD-SCAN)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Denmark
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-11-01
End date: 2020-04-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

By 2030, companies in tech-related industries will face a shortage of around 4.3M workers globally, resulting in slow growth and an estimated €450Bn in unrealized revenues. More women and minorities in tech could potentially fill this gap, but they often do not perceive a feeling of belonging from job ads and online corporate content. The problem is, organizations have no way to guarantee inclusivity across their communication channels. The negative impact is two-fold: 1) low profitability compared to organizations with high gender and ethnic diversity and; 2) €1M in extra hiring costs annually compared to other industries. DD-SCAN is the World’s first software tool that automatically neutralizes social biases across an organization’s online content – website text, images, social media and job ads. Thanks to our proprietary Machine Learning algorithms and datasets, DD-SCAN overcomes the known problems and has already been shown to increase 1) the number of qualified applicants significantly by 175% and 2) eliminating all extra hiring costs associated with tech employees. It will create a new standard for developing inclusive corporate content by providing an effective, convenient and affordable solution. Our current version is being used by 73+ tech-related organizations in Denmark, Germany, Sweden, and UK. The objective of this Phase 1 project is to lay the foundation for scaling up our innovation to reach TRL9 and launch in Europe in 2022, build a profitable business, reduce the cost of recruitment and enable millions of applicants to find the right career fit. The business opportunity is huge. Our Serviceable Addressable Market is €21.7Bn and will reach €27.4Bn by 2024, at a CAGR of 6%. By introducing a far superior technology via a scalable subscription-based business model, we expect rapid uptake and a market share of 0.11%, a turnover of €32.6M, EBITDA of €26.9M and a headcount of 83 employees by 2024.

Keywords: inclusion,diversity,recruitment,social bias,stereotypes,gender,ethnicity,corporate,communication,cloud solution