Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
SMart weArable Robotic Teleoperated Surgery (SMARTsurg)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: Robotics SPARC (cPPP)
Countries involved: Italy,Cyprus,Greece,France,France,United Kingdom,United Kingdom,United Kingdom
Call: System abilities, development and pilot installations (H2020-ICT-2016-1, 2016)
Start date: 2017-01-01
End date: 2021-06-30
Duration (months): 54.0
Total project cost (EUR): 3990206.25
EU funding (EUR): 3990206.25
Participants: 11
Project status: CLOSED

Robot-assisted minimally invasive surgery (RAMIS) offers many advantages when compared to traditional MIS, including improved vision, precision and dexterity. While the popularity of RAMIS is steadily increasing, the potential for improving patient outcomes and penetrating into many procedures is not fully realised, largely because of serious limitations in the current instrumentation, control and feedback to the surgeon. Specifically, restricted access, lack of force feedback, and use of rigid tools in confined spaces filled with organs pose challenges to full adoption. We aim to develop novel technology to overcome barriers to expansion of RAMIS to more procedures, focusing on real-world surgical scenarios of urology, vascular surgery, and soft tissue orthopaedic surgery. A team of highly experienced clinical, academic, and industrial partners will collaborate to develop: i) dexterous anthropomorphic instruments with minimal cognitive demand ii) a range of bespoke end-effectors with embedded surgical tools using additive manufacturing methods for rapid prototyping and testing utilizing a user-centred approach, iii) wearable multi-sensory master for tele-operation to optimise perception and action and iv) wearable smart glasses for augmented reality guidance of the surgeon based on real-time 3D reconstruction of the surgical field, utilising dynamic active constraints and restricting the instruments to safe regions. The demonstration platform will be based on commercial robotic manipulators enhanced with the SMARTsurg advanced hardware and software features. Testing will be performed on laboratory phantoms with surgeons to bring the technology closer to exploitation and to validate acceptance by clinicians. The study will benefit patients, surgeons and health providers, by promoting safety and ergonomics as well as reducing costs. Furthermore, there is a potential to improve complex remote handling procedures in other domains beyond RAMIS.

Keywords: wearable robotics,teleoperation,telepresence,real time 3d visual reconstruction,remote handling,haptics,dynamic contraints
Deformation control on flow and transport in soft porous media (DEFTPORE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: United Kingdom
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-02-01
End date: 2024-01-31
Duration (months): 60.0
Total project cost (EUR): 1482862.0
EU funding (EUR): 1482862.0
Participants: 1
Project status: SIGNED

Fluid flows through soft porous media are ubiquitous across nature and industry, from methane bubbles rising through lakebed and seabed sediments to nutrient transport in living cells and tissues to the manufacturing of paper products and many composites. Despite their ubiquity, flow and transport in these systems remain at the frontier of our ability to measure and model. A defining feature of soft porous media is that they can experience deformations that transform the pore structure. This has profound implications for the transport and mixing of solutes and the simultaneous flow of multiple fluid phases, both of which are strongly coupled to the pore structure. The goal of this project is to shed new light on flow and transport in soft porous media by studying a series of three canonical flow problems (tracer transport, miscible viscous fingering, and two-phase flow) across soft adaptations of three classical model systems (a soft-walled Hele Shaw cell, a quasi-2D packing of soft beads, and a cylindrical 3D “core” of soft beads). These flow problems and model systems have been thoroughly studied in the context of stiff porous media, allowing us to leverage decades of previous work and focus exclusively on the new behaviour introduced by “softness”. We will collect an extensive set of new, high-resolution experimental observations in each of these model systems, and we will reconcile these observations with mathematical models based on the traditional approach of upscaled constitutive functions. By updating this traditional approach to account for deformation, we will provide a new, pragmatic class of continuum models that capture the leading-order features of flow and transport in soft porous media. Our results will jumpstart the field of flow and transport in soft porous media, breaking open a vast new realm of research questions and applications around understanding, predicting, and controlling these complex systems.

Keywords: porous media,poromechanics,transport,multiphase flows
Photoresponsive Multi-Addressable Smart Materials and Mechanical Synthesis by Molecular Machines (PHOTOMECH)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure-properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: Germany
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2021-07-01
End date: 2026-06-30
Duration (months): 60.0
Total project cost (EUR): 1996631.0
EU funding (EUR): 1996631.0
Participants: 1
Project status: SIGNED

In this proposal a research program is envisioned to make a true leap in the creation of light-responsive intelligent matter. It targets the current frontiers and limits of photoswitching, molecular machines, chemical synthesis, and precision engineering of multi-responsive materials and will have profound impacts in - and beyond these fields. It encompasses the creation of novel visible-light responsive photoswitches with general applicability across the natural sciences and the elucidation of a plethora of hitherto unknown photoreactions in the first stage. Exploring the class of indigoid chromophores simple and compact molecular units will be developed offering hitherto unachievable control over molecular states and motions within a single such entity. Building on these findings molecular precision engineering of functional multi-state and multi-responsive materials will be explored in the second stage. Applications for molecular information processing, advanced surface patterning, or programmable adaptive behaviour will be used to demonstrate the unique advantages of this molecular approach for creation of next-level smart materials. In the last two parts of the proposal unprecedented molecular machines and a completely new type of chemical synthesis will be developed, which is termed “mechanical molecular construction”. The latter is exploiting the unique properties of molecular motors and can be regarded as first step into the uncharted territory of “molecular weaving”. This will open up an entire realm of untapped chemical and material structures for future explorations. Knowledge and methods created in these projects will be of utmost importance for any scientist – academic or industrial – concerned with applying light as central means for manipulating matter at smallest scales with highest spatio-temporal control - and thus for a large part of the present natural science community.

Keywords: molecular machine,photochemistry,molecular device,molecular logic,molecular information processing,photoswitch,supramolecular chemistry,excited state,molecular material,chromophore
Data Reliability and Digitally-enhanced Quality Management for Zero Defect Manufacturing in Smart Factories and Ecosystems (DAT4.ZERO)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Technologies for Factories of the Future
Action type: Innovation actions
Countries involved: Germany,Italy,Austria,Germany,Germany,Spain,Germany,Spain,Italy,Italy,Italy,Norway,Norway,United Kingdom,United Kingdom,United Kingdom,Portugal
Call: Quality control in smart manufacturing (IA) (H2020-NMBP-TR-IND-2020-singlestage, 2020)
Start date: 2020-10-01
End date: 2024-03-31
Duration (months): 42.0
Total project cost (EUR): 11815903.75
EU funding (EUR): 9886512.629999999
Participants: 22
Project status: SIGNED

Smart factories are characterised by smart processes, smart machines, smart tools and smart products as well as smart logistics operations. These generate large amounts of data, which can be used for analysis and fault prevention, as well as the optimisation of the quality of manufacturing processes and products. DAT4.ZERO is a Digitally-enhanced Quality Management System (DQM) that gathers and organizes data from a Distributed Multi-sensor Network, which, when combined with a DQM Toolkit and Modeling and Simulation Layer, and further integrated with existing Cyber-Physical Systems (CPS), offers adequate levels of data accuracy and precision for effective decision-support and problem-solving – utilizing smart, dynamic feedback and feed-forward mechanisms to contribute towards the achievement of Zero Defect Manufacturing (ZDM) in smart factories and their ecosystems. The aim is to Integrate smart, cost-effective sensors and actuators for process simulation, monitoring and control; develop real-time data validation and integrity strategies within actual production lines; demonstrate innovative data management strategies as an integrated approach to ZDM; & develop strategies for rapid line qualification and reconfiguration. Deployed in 5 distinct industrial pilot lines we address the following primary objective: Develop and demonstrate an innovative DQM system and deployment strategy for supporting European manufacturing industry in realizing ZDM in highly dynamic, high-value, high-mix, low-volume production contexts, by effective selection and integration of sensors and actuators for process monitoring and control, a DQM platform with an architecture that provides reliable and secure knowledge extraction to ensure integrity of data, & strategies for advanced realtime data analysis and modeling in multiple domains and sectors that will increase quality, reduce ramp-up times and decrease time-to-market.

Keywords: quality toolkit,data management
How does population structure influence host-pathogen dynamics in mosquito-transmitted diseases? (SpatialStructure)

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: Austria,United States
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-12-01
End date: 2024-11-30
Duration (months): 36.0
Total project cost (EUR): 252349.44
EU funding (EUR): 252349.44
Participants: 2
Project status: SIGNED

Computational advancements and the development of powerful agent-based simulation frameworks have allowed us to model unprecedented realism in mosquito-transmitted diseases – a threat that millions of people face every year. While this enhanced realism has already provided important insights, agent-based models are still often outperformed in disease forecasting by their idealized mathematical counterparts. This might be caused by a lack in our fundamental understanding of how spatial dynamics need to be appropriately modeled. To date, in depth sensitivity analyses of complex agent-based models that would help to address this issue are hardly conducted, because these complex models are very parameter rich. Thus, the required model recalibration and comparisons are very runtime intensive. I introduce Gaussian processes as a powerful statistical framework that will significantly advance sensitivity analysis for agent-based models and allow us to assess the relative input importance of different model parameters in unprecedented detail. The proposed research could further deepen our understanding of how spatial structure affects host-pathogen dynamics and be a valuable contribution to the field of sensitivity analysis for agent-based models. I expect to find that spatial structure changes disease transmission potential profoundly and can cause spatial-specific model dynamics. I hope that my findings contribute to the improvement of disease forecasting and evaluation of proposed intervention strategies.

Keywords: spatial population structure,sensitivity analysis with gaussian processes
Current perspectives on adolescent mental health: within-individual, time trends and cross-national differences (GenerationZ)

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: Ireland
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-02-01
End date: 2024-07-02
Duration (months): 24.0
Total project cost (EUR): 184590.72
EU funding (EUR): 184590.72
Participants: 1
Project status: SIGNED

There is no health without mental health. The foundation of mental health is largely laid in adolescence, and more than half of adult mental health disorders have their onset before the age of 14. Today’s adolescents (i.e. Generation Z; the Zoomers, born between 1997 and 2015) are experiencing worse mental health than the preceding generation (i.e. the Millennials, born between 1981 and 1996). However, there is limited evidence on the specific longitudinal (within-individual) trajectories of mental health (e.g. the dynamic between subjective well-being and psychopathology as based on the Dual-Factor Model of mental health), as well as international differences in the profiles of the Dual-Factor mental health model. We also need better evidence on the predictors of change over time both at the individual (e.g. family relationships, school factors) and country level (i.e. income inequality; gender inequality) in the trends in adolescent mental health. The action’s main Research Objectives are 1) to investigate within-individual changes in adolescent mental health, and 2) to test cross-national variation and trends in population-level adolescent mental health across 45 European countries. The action will employ an interdisciplinary approach based on a 3-way knowledge transfer between the ER, the Department of Sociology at Trinity College Dublin in Ireland (Host) and the WHO Regional Office for Europe, Program for Child and Adolescent Health and Development (secondment host). This action links with the 2030 SDG agenda, and European regional and national health strategies. It will place ER in the position to establish their own research group and obtain a tenured position at an Interdisciplinary Social Science Department, Sociology or Applied Psychology Department at a European university.

Keywords: adolescent mental health,trends,gender,family support,school,well being,cross national differences,youth engagement,health inequalities,multilevel modelling
Free-piston Reciprocating Joule-cycle Engine-based Micro-combined Heat and Power System (Free-CHP)

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: Information Science and Engineering
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-12-01
End date: 2025-07-01
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: SIGNED

Developing domestic Combined Heat and Power (CHP) systems presents one obvious way to generate electricity with high efficiency, mitigate strain on the grid and local distribution systems, and reduce gross energy consumption and CO2 emissions. The domestic micro-CHP market is currently served by ICE, Stirling, and ORC systems, all of which possess significant issues that limit wide micro-CHP installations. In order to solve the current developing predicament of residential micro-CHP market, and to develop affordable and efficient residential micro-CHP products, excellent prime mover technologies need to be developed. The Free-Piston Reciprocating Joule-cycle Engines (FPRJEs) proposed by Prof. Tony Roskilly’s group are preferred for residential micro-CHP applications because of their high electrical efficiency (greater than 30%), multi-fuel potential, good operational flexibility, simple mechanical structure, and low frictional loss. An integrated FPRJE-based micro-CHP demonstration system has not to date been developed and a numerical model which can describe the whole FPRJE-based micro-CHP system accurately is also lacking. In this project, a novel, first-of-its-kind 5 kWe FPRJE-based micro-CHP system that can be used in domestic buildings will be modelled, designed, built, tested, and improved at Durham University. The successful implementation of this project will be the first to validate the theoretical modelling of this novel micro-CHP system and will significantly increase our body of knowledge with respect to free piston engines. We will also be able to determine the technical feasibility of this proposed concept which aims to surpass current micro-CHP system efficiencies and achieve higher efficiency. This research will significantly contribute to the EU’s gross energy consumption and CO2 emissions reduction, and low-carbon cities development. The experienced researcher will obtain research-related skills, transferable skills and networking from the project.

Keywords: free piston,joule cycle engine,combined heat and power,linear generator
Bio-based carbon fiber - commercialization (BIO-CC)

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: Finland
Call: ERC Proof of Concept Grant (ERC-2019-PoC, 2019)
Start date: 2020-08-01
End date: 2022-04-30
Duration (months): 21.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Our modern societies are built on the mobility of the individual. Travelling to and from work, trips for leisure and shopping, or journeys to holiday destinations are integral part of our lives. The most popular means of transportation today is the private car. In 2016, the global car production has surpassed the 70 million mark for the first time. Irrespective of whether and when the mobility of our society will shift to electric vehicles, solutions are needed to increase the fuel and energy efficiency of transportation to mitigate effects of climate change and account for the continuous depletion of fossil fuels. One key strategy is to reduce the weight of the vehicle by replacing metal components through lightweight carbon fiber reinforced composite (CFRC) elements which offer significant weight reduction while maintaining the strength and safety properties. Carbon fibers are still predominantly produced from polyacrylonitrile (PAN) precursor filaments and remain an expensive commodity, which has impeded is widespread use in the automotive sector. The ERC StG project” Unlocking the Entire Wood Matrix for the Next Generation of Carbon Fibers (WoCaFi)” allowed to develop the foundation to turn wood in its entirety into high-quality continuous filaments, which can be converted into low-cost bio-based carbon fibers. With the technology at hand, mild pre-treatment is sufficient to render the wood matrix soluble and spinnable, and converted the entire lignocellulosic scaffold into filaments. This will lower the raw material expenses significantly, which is directly translated to the costs of the precursor filament. Further savings are anticipated in the pyrolysis step. Reducing the energy-input in the carbonization protocol would reduce the costs even further. BIO-CC aims at assessing the technical feasibility and scalability of this process and to evaluate the market potential of this wood-based carbon fibers.

Keywords: wood based carbon fibers,ligno cellulosic hybrid filaments,biobased low cost carbon fibers
Bio-derived HIgh Value polymers through novel Enzyme function (BHIVE)

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: Finland
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-09-01
End date: 2020-12-31
Duration (months): 64.0
Total project cost (EUR): 1977781.0
EU funding (EUR): 1977781.0
Participants: 1
Project status: CLOSED

Recent advances in systems-level study of cells and organisms have revealed the enormous potential to live more sustainably through better use of biological processes. Plants sustainably synthesize the most abundant and diverse materials on Earth. By applying recent advances in life science technology, we can better harness renewable plant resources and bioconversion processes, to develop environmentally and politically sustainable human enterprise and lifestyles. At the same time, the global market for high-value biochemicals and bioplastics from forest and agricultural sources is rapidly increasing, which presents new opportunities for forest and agricultural sectors. The overall aim of BHIVE is to illuminate uncharted regions of genome and metagenome sequences to discover entirely new protein families that can be used to sustainably synthesize novel, high-value biomaterials from renewable plant resources. The approach will include three parallel research thrusts: 1) strategic analysis of transcriptome and metagenome sequences to identify proteins with entirely unknown function relevant to biomass (lignocellulose) transformation, 2) mapping of uncharted regions within phylogenetic trees of poorly characterized enzyme families with recognized potential to modify the chemistry and biophysical properties of plant polysaccharides, and 3) the design and development of novel enzyme screens to directly address the increasing limitations of existing assays to uncover entirely new protein functions. BHIVE will be unique in its undivided focus on characterizing lignocellulose-active proteins encoded by the 30-40% of un-annotated sequence, or genomic “dark matter”, typical of nearly all genome sequences. In this way, BHIVE tackles a key constraint to fully realizing the societal and environmental benefits of the genomics era.

Keywords: enzymology,recombinant protein expression,analytical chemistry,mass spectrometry,comparative transcriptomics,metagenome mining,bioeconomoy,biotechnology,biorefinery