Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Bringing a new LNG-tank technology to industrial readyness (Cryoshelter)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Austria
Call: Small business innovation research for Transport (H2020-SMEINST-2-2014, 2014)
Start date: 2015-05-01
End date: 2017-03-31
Duration (months): 23.0
Total project cost (EUR): 2433382.5
EU funding (EUR): 1700000.0
Participants: 1
Project status: CLOSED

Cryoshelter has developed an innovative liquefied natural gas (LNG) tank for heavy duty trucks that provides the first serious European technology to compete with the world’s dominant (U.S.) LNG tank maker that has 98% of the European market. Available in over 1000 sizes due to its modular design, competitively priced Cryoshelter LNG tanks lower the total cost of ownership for truck operators by providing 30% more fuel capacity (adding 30% vehicle range), lower weight, increased hold time, and reduced maintenance due to greatly improved, long term stability of the insulation vacuum. These features address the most critical technical and economic concerns of the heavy duty truck sector and will revolutionize the commercial prospects for LNG as a fuel alternative to diesel in Europe, North America and elsewhere. The Cryoshelter program fulfils current EU policy objectives to reduce CO2 and diesel particulates as well as expand the market and infrastructure for fuel alternatives to petroleum. Cryoshelter is at the final stage of research, development, and demonstration (Technology Readiness Level 6), now ready for the last destructive testing and field-testing, the precursor to full certification and market entry. We have pre-market relationships with three types of target customers who have expressed strong interest in the Cryoshelter LNG tank: European truck manufacturers, natural gas vehicle (NGV) system suppliers, and LNG truck operators, all of whom are an integral part of the final testing and commercialization plan. The proposed program is targeted for the H2020 IT.1-2014-2015 Small Business Innovation for Transport (Phase II) area. The EU funding will enable testing, certification and scaling up for competitively priced production volumes as well as increase production and sales staff to 15 highly qualified engineers in 2017. Cryoshelter will achieve ROI rates of >60% and an EBIT margin of >17% after completing the Horizon2020 project.

Keywords: a new innovative lng tank for heavy duty trucks which fulfils current eu policy objectives to reduce co
Repetition, Parallelism and Creativity: An Inquiry into the Construction of Meaning in Ancient Mesopotamian Literature and Erudition (REPAC)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The study of the human past
Panel description: Archaeology, history and memory
Countries involved: Austria
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-05-01
End date: 2024-04-30
Duration (months): 60.0
Total project cost (EUR): 1494198.0
EU funding (EUR): 1494198.0
Participants: 1
Project status: SIGNED

REPAC is a contribution to the intellectual history of Ancient Mesopotamia, one of mankind’s earliest civilizations. The project investigates the relationship between textual form and function in Mesopotamian literature and scholarly compositions. It focuses on exact and variant repetition as a text structuring device and demonstrates that the use of repetition is grounded in a fundamental aspect of the worldview of Mesopotamian learned scribes. REPAC studies literary, magical and mantic texts written on clay tablets inscribed in the Cuneiform script in the Akkadian language dating from the first millennium BCE. Parallelism, refrain, ring composition and similar types of regular, part-repetitive patterning occur on all levels of these erudite textual genres. Textual elements which are separate but yoked together through contiguity and similarity were a major vector for poetic creativity, rhetorical effectiveness and inventiveness in argumentation. Repetition in its various forms was used not only as a means of aesthetic ornamentation. In mantic texts, it opened a way to understand the world through analogical reasoning. Literary texts constructed arguments by elucidating different aspects of their theme through sequences of parallel, but slightly divergent, statements. In magical rituals, repetition was used for magical action through the construction of persuasive analogies. The ubiquity of textual repetition was rooted in the scribes’ belief in the meaningful and causally effective interconnection of words, concepts and things sharing an element of similarity. No sustained effort at understanding this worldview and the importance of analogy as a principle of Mesopotamian literary and scholarly method has ever been made. The project fills this major knowledge gap. It will lead to a significantly improved understanding of the creative effort of Ancient Mesopotamia.

Keywords: ancient mesopotamia,textual repetition,divination,literature,magic,analogical reasoning
Surface Catalysed Adhesive for Low Temperature Joining of Lightweight Materials and Components (SEAMLESS)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: United Kingdom
Call: Small business innovation research for Transport and Smart Cities Mobility (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-06-01
End date: 2017-08-31
Duration (months): 3.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Lightweight materials are increasingly being used by the automotive (largest market), aerospace, mass transit, marine and construction industries due mainly to the potential of lightweight materials to meet diverse design requirements with significant weight savings as OEMs strive to meet emission targets. One of the significant barriers restricting the penetration of composite polymer components is the lack of an effective method to join the components. Designers and OEMs have looked towards adhesives for this application. Due to the wide variation in surface chemistry presented by the range of materials employed, adhesives manufacturers have formulated a plethora of products tailored for specific materials and end performance requirements. These products often require different surface preparation processes to achieve the desired level of bond strength and are not optimised to bond dissimilar materials. SEAMLESS offers a solution by presenting a single adhesive chemistry that can be used with multiple materials. Our novel technology (SEAMLESS) minimises the surface preparation requirements, can bond both similar and dissimilar lightweight materials, is lower temperature curing and thus is less energy intensive than currently used adhesives, possess faster cycle times (faster curing and less process steps) and can facilitate better design of complex shapes using lightweight materials.

Keywords: lightweight materials,vehicle manufacture,joining,dissimilar materials
Functional differentiation in response to environmental variability in two contrasting shrub line species of high-altitude Himalaya (HimFunDiff)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Other Widening
Action type: Marie Skłodowska-Curie actions
Countries involved: Czechia
Call: Widening Fellowships (H2020-WF-03-2020, 2020)
Start date: 2021-04-01
End date: 2023-03-31
Duration (months): 24.0
Total project cost (EUR): 156980.64
EU funding (EUR): 156980.64
Participants: 1
Project status: CLOSED

The major aim of the proposal is to obtain novel insights into the ability of plant species to adapt to changing climatic conditions by exploring their functional differentiation along natural gradients. Specifically, I propose to elucidate adaptive strategies of long-lived shrub-line forming species with contrasting strategies to changing climatic conditions (in natural experimental settings). The study will allow disentangling the independent and combined effects of temperature and water availability on functional traits (morphological and biochemical) without confounding effects of other factors. The study will also enable to analyse the direction and magnitude of shift in trait values (as per trait driver theory) along climatic gradients and elucidate the relative role of various factors (e.g. climatic, spatial, organisational) causing functional trait variability (e.g. intra-individual to inter-population). We will get insights into specific traits that are favoured at particular climate (e.g. at colder and drier, colder and wet etc.). Further, combination gradients and virtual transplant experiment will allow to verify the direct link between species traits and climatic conditions, at short and long temporal scales, respectively. In addition, the project will allow to test if the functional responses of single species to climatic variability can be generalized to whole communities. This fellowship will be a perfect stepping stone in achieving my career goal to become a researcher at the top of the interdisciplinary field of population and community ecology in climatically heterogenous and diverse high elevation ecosystems. My quality as a researcher will be improved by the new skills and deepened knowledge that I will acquire at the Institute of Botany of the Czech Academy of Sciences and Helmholtz Centre for Environmental Research, Germany.

Keywords: climate change,environmental gradients,local adaptation,eco metabolomics,dendrochronology,functional traits,himalaya,alpine environments
Forest Intelligence: robotic networks inspired by the Wood Wide Web (I-Wood)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Italy
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2021-05-01
End date: 2026-04-30
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

Plants are connected to each other by an underground network of fungi that provide them with nutrients, help share resources, and extend their perception abilities. This mycorrhizal network, known as the Wood Wide Web, plays a crucial role in maintaining healthy natural ecosystems, and in limiting the global warming. Thus, it must be preserved in order to mitigate the speeding up of the carbon cycle and its effects on climate change. Robotics and Artificial Intelligence (AI) can offer concrete solutions for a deeper analysis of natural processes at the basis of this global change and for developing sustainable technologies. Based on that, I-Wood proposes a new paradigm of virtual and physical robotic networks inspired by the belowground fungus-mediated inter-plant communication and by the associated collective behaviours. Specifically, I-Wood will study, extract and formalize the rules of plant-fungus interaction mechanisms to develop: a plant-inspired perceptron-like model; and a new generation of plant-inspired robots able to explore soil using their roots with growing, ageing, branching, and elongating abilities in response to their network-augmented perception and implementing plant-inspired collective behaviours. By imitating plants, these distributed intelligent systems will co-develop morphology and behaviour in a dynamic environment. Impact and feasibility of the proposed approach will be tested in a mixed social network, scale-down in a confined environment, where robots will interact with real plants to facilitate the development of mycorrhizal networks. Grounded on a strong multi-disciplinary approach, I-Wood will pave the way for new paradigms in robotics and embodied AI, based on solutions that overcome the current animal-based or brain-based model, novel approaches for the use of robotics in biology and for new scientific knowledge on plants community with a major significance for biodiversity and climate protection.
Many-body physics and superconductivity in 2D materials (SUPER-2D)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Germany
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-06-01
End date: 2021-12-31
Duration (months): 79.0
Total project cost (EUR): 1928750.0
EU funding (EUR): 1928750.0
Participants: 1
Project status: CLOSED

The goal of this project is to prepare and functionalize layered materials and then to characterize them in-situ using a novel combination of electrical transport, photoelectron and optical spectroscopy. This approach provides a solution to the intense research efforts in trying to engineer, probe and unravel many-body physics and the superconducting coupling mechanism in layered solids. The materials under investigation are based on the families of graphene, dichalcogenides and iron based superconductors. Chemical functionalization using dopants and strain allows for an unprecedented control over their physical properties. The proposed material systems provide a new arena to explore diverse condensed matter phenomena such as electron correlation, electron-phonon coupling and superconductivity. The groundbreaking aspects of this proposal are as follows: (1) development of a unique setup where electrical transport, angle-resolved photoemission (ARPES) and optical spectroscopy is measured in-situ on the same sample, (2) large-area deterministic layer-by-layer growth by chemical vapour deposition (CVD) and molecular beam epitaxy, (3) the effects of mechanical strain and hence large pseudomagnetic fields on the electronic band structure will be investigated using ARPES, (4) the effects of alkali metal doping on the superconducting transition temperature and the spectral function will be investigated using transport, ARPES and optical spectroscopies shining light onto the superconducting pairing mechanisms in different classes of materials. The proposal's feasibility is firmly grounded on the pioneering work of the PI’s group on superconducting coupling in functionalized graphene and the in-situ ARPES measurements of a CVD grown graphene/BN heterostructure.

Keywords: angle resolve photoemission spectroscopy,2d materials,surface science
Biodegradable bottlebrush polycarbonates with benzophenone groups for the preparation of tissue engineering scaffolds (PhotoPolyCarb)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-01-24
End date: 2024-01-23
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: SIGNED

Over the past years, aliphatic polycarbonates (APCs) have gained prominence in the biomedical field in reason of their features allied to their in vivo bioresorbability. Unlike polyesters, the degradation products of APCs are acid free, which prevents tissue inflammation and drug denaturation upon their use as implants and drug vehicles, making them a potential material in the medical field. Simultaneously, the 3D printing of biomaterials has recently advanced the development of tailor-made implants, which can improve the patients’ health and quality of life. However, the translative impact of 3D printing to clinical use is still beset with limitations, including the brittle nature of the properties of materials that are available, the crosslinking chemistries that hinder translation into cell-laden biomaterials and toxicity of residual monomers and additives. PhotoPolyCarb aims to overcome these limitations by combining functional photoreactive polycarbonates from different topographies with stereolithography (SLA), thus avoiding the use of toxic monomers and photoinitiators during the printing process. In a transfer of knowledge, PhotoPolyCarb will bring together the expertise of the researchers in areas such as chemical engineering reactions (from the applicant), polymer chemistry (from the host) and bioengineering (from the secondment). The fellowship will permit the applicant to work with world-renowned research groups in the field of biomaterials and tissue engineering, allowing her to develop skills in an interdisciplinary environment and consolidate her career. The dissemination of research results will target the professional audience as well the public through outreach activities.

Keywords: bottlebrush polycarbonates,benzophenones,3d printing,biocompatibility,tissue engineering
Advanced BiomEdical OPTICAL Imaging and Data Analysis (BE-OPTICAL)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Germany,Germany,Germany,Spain,Poland,France,United Kingdom,United Kingdom
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN) (H2020-MSCA-ITN-2015, 2015)
Start date: 2015-10-01
End date: 2019-09-30
Duration (months): 48.0
Total project cost (EUR): 3495300.48
EU funding (EUR): 3495300.48
Participants: 9
Project status: CLOSED

Biomedical imaging is a research field that is producing ground breaking scientific discoveries that enhance the health and life quality of European citizens and have a huge economic impact. In order to maintain Europe’s leading position in the field, it is crucial to invest in the people who will lead R&D, and to promote the academic-private sector partnerships that will transfer the novel technologies to the market. In order to meet these needs, BE-OPTICAL will provide a unique and structured training programme to 14 ESRs in a wide range of optical imaging technologies and signal processing tools, including fluorescence spectroscopy and microscopy, optical coherence tomography, optogenetics, engineered nanomaterials and signal processing tools. The research is structured in 4 WPs: super-resolution optical imaging for the analysis of cellular processes (WP1), high-resolution optical imaging of cardiac tissue (WP2), advanced instrumentation for ophthalmic imaging (WP3), and optical components, methods and software for image analysis (WP4). Comprising 7 leading academic groups and 2 non-academic partners in 5 European countries, BE-OPTICAL brings together an interdisciplinary team of physicists, engineers and medical doctors, with complementary expertise in optical imaging, nanotechnology, computer science, complex systems and data analysis. The non-academic partners are a leading company in fluorescence instrumentation and an internationally recognised ophthalmology clinic, with the most advanced technology and expertise in ocular diseases. The training programme will provide the ESRs with a broad understanding of how a wide range of optical imaging technologies and data processing tools work, and will open for them a wide range of job opportunities. The ESRs will apply this knowledge to advance the early diagnosis of highly significant diseases. The ESRs will also gain insight into clinical studies of novel imaging technologies and the commercialization process.

Keywords: biomedical optical imaging,super resolution microscopy,light sheet microscopy,cardiac imaging,ophthalmic imaging,methods of image analysis,optogenetics,optical coherence tomography
Parallel Orthographic Processing and Reading (POP-R)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: France
Call: ERC Advanced Grant (ERC-2016-ADG, 2016)
Start date: 2017-10-01
End date: 2022-09-30
Duration (months): 60.0
Total project cost (EUR): 2498485.0
EU funding (EUR): 2498485.0
Participants: 1
Project status: CLOSED

The project centers on a new computational model, the POP-R model, that implements two original, and apparently contradictory, hypotheses with respect to the processing of orthographic information spanning several words during silent reading for meaning: 1) orthographic information spanning several words is processed in parallel and integrated within a single pool of location-invariant orthographic representations; 2) readers process multiple word identities in parallel and keep track of the positions of these words by associating word identities with spatiotopic locations in short-term memory. The apparent contradiction is solved in POP-R by the triangular connectivity between gaze-centered letter detectors, spatiotopic word identities, and location-invariant orthographic representations. Evidence in favor of the first hypothesis has been obtained with a novel Flanking Letters Lexical Decision task. The second hypothesis predicted the existence of a sentence superiority effect in a novel Rapid Parallel Visual Presentation paradigm, for which we have preliminary evidence. Other key predictions of the POP-R model will be tested in behavioral experiments using these new techniques, and EEG and MEG recordings will be used to specify the spatio-temporal dynamics of the neural processes underlying orthographic pooling and parallel word identification. Experiments with primary school children will plot the developmental trajectory of these processes, and sentence reading experiments measuring eye-movements and ERPs will be used to further test the model. The project incorporates both theoretical and methodological innovation within a novel perspective on reading that places orthographic processing at the very heart of the reading network. This new perspective is expected to facilitate the integration of knowledge concerning low-level visual processing and eye-movement control with higher-level semantic and syntactic processing during silent reading for meaning.

Keywords: reading,orthographic processing,computational modeling