Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Interdisciplinary connectivity: Understanding and managing complex systems using connectivity science (i-CONN)

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: Environment and Geosciences
Countries involved: Austria,Germany,Cyprus,France,Czechia,Netherlands,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2019, 2019)
Start date: 2019-10-01
End date: 2024-03-31
Duration (months): 54.0
Total project cost (EUR): 3992727.24
EU funding (EUR): 3992727.24
Participants: 11
Project status: SIGNED

The goal of this ITN is to train a new cohort of researchers specialized in the developing field of connectivity science who will be capable of developing interdisciplinary approaches to connectivity across a range of disciplines and real-life applications in the next five to 10 years. Our overarching aim is to overcome barriers to progress in using connectivity science to understand and manage complex systems by learning from transdisciplinary perspectives to produce new insights into the behaviour of complex systems across diverse disciplines (Astrophysics, Computer Science, Ecology, Geomorphology, Hydrology, Neuroscience, Systems Biology and Social Science), and synthesize them into a common set of theories and approaches. To realise this goal, we define three research objectives each of which focuses on a specific challenge in developing connectivity: Objective 1) Developing the theoretical underpinning of connectivity science for applications in complex systems; Objective 2) Development of a unified framework of methods and approaches that can be applied across disciplines; Objective 3) Exploring applications of connectivity science to understand, adapt to and manage complex systems. A dedicated work package has been created for each research objective, and each one involves the key activities of the network: research, training, and knowledge and expertise dissemination. In addition, WP4 will have oversight of training, WP5 the management and WP6 the dissemination aspects of the network. Training of ESRs will include: - A network-wide training course in transferable skills will be specially developed and delivered by D-CAD (Centre for Academic Development at Durham), an award-winning programme supporting Early Career Researchers. - a bespoke series of five advanced training courses and a datathon - secondments between academic, private- and public-sector partners - online training courses and seminars and a network conference.

Keywords: complex networks,graph theory,network,graph connectivity,flows,resilience networks,ecological economics,energy analysis,industrial ecology,land degradation,integrated,catchment management
Testing the role of Mediterranean thermohaline circulation as a sensor of transient climate events and shaker of North Atlantic Circulation (TIMED)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Earth system science
Panel description: Physical geography, geology, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: Spain,Italy
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2017-01-01
End date: 2023-06-30
Duration (months): 78.0
Total project cost (EUR): 2400000.0
EU funding (EUR): 2275625.0
Participants: 3
Project status: SIGNED

The Mediterranean Sea is an excellent sensor of transient climate conditions at different time scales. Changes in Mediterranean water properties result from complex interactions between the Atlantic inflow, local climate and north and south atmospheric teleconnections. In turn, Mediterranean outflow waters spill into the Atlantic Ocean, thus acting as a net salt and heat source for the Atlantic Meridional Overturning Circulation (AMOC). Climate models anticipate changes in these circulation systems within decades; thus it becomes critical to understand the natural range of variations in the Mediterranean Thermohaline Circulation (MedTHC) and whether these can alter the AMOC. An innovative approach, based on both well-established and newly-developed analytical methods will be applied to characterize, qualitatively and quantitatively, past changes in the MedTHC dynamics. Specific time windows representing very different transient periods (18-14 ka BP; 9.5-6.5 ka BP and the last 2 kyr) will be targeted in order to understand the distinctive role that individual forcing mechanisms exerted in controlling MedTHC changes. Particular emphasis will be placed on building robust regional chronologies and proxy records with unprecedented high-resolution. This approach will combine proxy data from sediment cores and deep-sea corals along the main paths of water masses as they cross the Mediterranean basins and exit into the North Atlantic. This paleo-data analysis will be complemented with novel climate model paleo-simulations to test the sensitivity of the AMOC to changes in Mediterranean outflow under varying AMOC conditions. The main goals are to identify: (1) The natural range of MedTHC variability; (2) The forcings and inter-regional teleconnections driving MedTHC changes; (3) The associated impact onto the AMOC. The assessment of the forcings controlling MedTHC and the ensuing impact on the AMOC will allow us to gauge the consequences of future Mediterranean changes.
Nanoparticle size selection tool for new generation Model Catalyst (ModCat)

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

VSPARTICLE proposes a completely new technology to automate production of 1-10nm size-selected catalytic nanoparticles. This technology speeds up the research process of finding the optimal catalytic material from months, to days. The development of new and improved catalysts is necessary to rapidly develop cost-effective renewable energy technologies and reduce the carbon footprint. VSPARTICLE is a Dutch nanotechnology company that provides research and industry with the tools to manufacture nanoparticles and nanostructured materials. Since 2014, the company has been helping scientists and industry leaders to drastically reduce the development time of new materials and products, by making the process as easy as pushing a button. The new nanoparticle size-selection tool enables researchers to gain both a better fundamental understanding of the catalysis system, and a faster route towards next generation catalyst through novel Model Catalyst research.

Keywords: catalysis,nanocatalyst,nanomaterials,nanoparticles,photonics,co2 reduction,fuel cell,high throughput sampling,model catalyst
Interdependent Challenges of Reliability, Security and Quality in Nanoelectronic Systems Design (RESCUE)

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,Italy,Germany,Germany,Estonia,France,Netherlands,Netherlands
Call: Innovative Training Networks (H2020-MSCA-ITN-2016, 2016)
Start date: 2017-04-01
End date: 2021-03-31
Duration (months): 48.0
Total project cost (EUR): 3755824.92
EU funding (EUR): 3755824.92
Participants: 8
Project status: CLOSED

RESCUE ITN advances scientific competences and establishes an innovative training for Interdependent Challenges of Reliability, Security and Quality in Nanoelectronic Systems Design. Today, nanoelectronic systems are at the core of all industry sectors and deployed in life-critical application domains, such as healthcare, transportation, automotive and security, serving societal needs in Europe. They are being combined into Internet-of-Things and Cyber-Physical Systems and, ultimately, represent the physical backbone of our increasingly digitised world. Here, the impact and consequences of in-field failures, security attacks or hardware defects can be catastrophic. At the same time, they are getting very hard to avoid due to the trends of extreme complexity and miniaturisation at the doorstep of physical limits. The objective is, first, to address the demanding and mutually dependent aspects of nanoelectronic systems design, i.e. reliability, security and quality, as well as corresponding electronic design automation tools. This will rescue and enhance design of complex systems at the next generation nanoelectronics technologies. Second, it is to provide early-stage researchers with innovative training in the involved disciplines and beyond, such that they will not only be able to face today and future challenges in nanoelectronics design but also be innovative, creative, and more importantly - have an entrepreneurial mentality. The latter will help to compile ideas into products and services for EU economic and social benefits. RESCUE addresses boosting Europe’s capabilities and leadership in nanoelectronics design and creation of qualified workforce and knowledge for industry. The consortium consists of leading European research groups competent to tackle the interdependent challenges in a holistic manner and to train new top-notch interdisciplinary professionals. The ITN is excellently balanced in terms of academic and industrial training and research facilities.

Keywords: nanoelectronics,reliability,security,quality,electronic design automation,fault tolerance,dependability,verification,test,nanoelectronics aging,manufacturing defects,design errors
A Computational Design Approach to Haptic Synthesis (TouchDesign)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Spain
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-09-01
End date: 2023-08-31
Duration (months): 60.0
Total project cost (EUR): 1968812.0
EU funding (EUR): 1968812.0
Participants: 1
Project status: SIGNED

We use touch permanently to explore, manipulate and interact with the world around us, but also to feel and transmit affection. Haptic synthesis, i.e., the ability to design and control what we feel, either on a computer application or with a consumer product, bears an immense scientific, industrial, and social impact. However, touch is still poorly understood and underexploited in today’s digital era. The state of the art in computational haptic synthesis lags well behind the technological and scientific progress in additive manufacturing, computational design for fabrication, virtual reality displays, or cutaneous haptic interfaces. TouchDesign will define a formal and comprehensive computational design methodology for haptic synthesis, applied to both tactile digital communication and to computational design and fabrication of objects with desired tactile properties. Haptic synthesis will be formulated as an optimization problem, with the objective function defined based on haptic perceptual metrics, and with the design space defined by the high-dimensional parameter space of a fabrication process or a haptic interface. We will introduce multiple breakthroughs in four major scientific pillars. (i) In contact biomechanics: develop measurement-based and data-driven models that enable interactive evaluation of the deformations undergone by skin mechanoreceptors. (ii) In perceptual modeling: establish a connection between high-resolution biomechanics, mechanoreceptor activation fields, and psychophysics, through machine-learning analysis of exhaustive simulated and experimental data. (iii) In numerical optimization: design methods that optimize perceptual metrics through robust and efficient search of the high-dimensional design space of haptic fabrication and haptic display problems. (iv) In computational design: introduce methods and interfaces to visualize, explore, and define perceptual objective functions and haptic design spaces.

Keywords: haptics,computational design,physics based simulation
A predicting platform for designing semiconductor quantum devices (PRESQUE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-09-01
End date: 2022-03-03
Duration (months): 24.0
Total project cost (EUR): 184707.84
EU funding (EUR): 184707.84
Participants: 2
Project status: CLOSED

Quantum technologies and Artificial Intelligence are currently leading R&D and industrial investments of Europe due to their potential to bring large transformations in the digital economy and manufacturing of EU. This project will be based in the research and technology ecosystem of Grenoble, in France, hosted in a Joint Research Unit of Université Grenoble Alpes and CEA. The aim of the project will be to develop a computer-assisted model able to predict the modes of operation of a silicon quantum transistor, giving access to accurate predictions that can decrease the costs involved in designing a quantum circuit. Machine Learning algorithms will be employed for further decreasing the time it takes to optimize the design in a fraction of the original. This project is expected to be an invaluable addition to the enabling technologies for the EU research and innovation and its goals for 'quantum digitization'. The work will be undertaken by Dr. Eleni Chatzikyriakou, with an interdisciplinary background and expertise in the development of computational methods for electron device operation and will be supervised by Dr. Xavier Waintal, that has twenty years of experience in computational studies of various physical phenomena in the quantum regime, and is the leading coordinator of the open source software for quantum transport Kwant. The fellow will be part of a highly specialized group in quantum technologies and will have the opportunity to significantly broaden her knowledge in both quantum technology and Machine Learning through the training and implementation of the action. It is therefore expected that, together with the training in leading and management skills, by the end of the fellowship, she will be in a position to take on leading positions and coordinate interdisciplinary actions by taking advantage of her own and the new networking opportunities that will arise in the fields of (Opto)Electronic Engineering, Computer Science and Physics.

Keywords: mathematical physics,green s functions,mesoscopic physics,reliability physics
Introducing Smart Wireless Monitoring Stickers Adaptable to Any Surface And Bending Angle for Food Tracking (QStamp)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: Portugal
Call: Accelerating the uptake of nanotechnologies advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-05-01
End date: 2017-09-30
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Food recalls are a major concern for the food industry. In recent years, the number of identified and reported incidents of contaminated food products has dramatically increased, posing serious health and economic consequences. Based on the latest nanotechnology, we have developed QStamp. QStamp is a flexible, low-cost and wireless sensor that can measure temperature, humidity, pressure and light using nanotechnology. QStamp runs without battery and can be applied on any material regardless of its shape. The temperature, humidity and pressure data collected by the QStamp® is sent to a database through wireless protocols such as RFID. Our software translates the information into actionable data within the users preferred system (ranging from Excel to complex supply chain management ERP’s) via API’s. Our overall objective is to see our QStamp on any packaged food item around Europe that can monitor at least six variables. Our dream is for QStamp to become a requirement for food labeling, just as it is a requirement now to disclose the country of origin, for instance. In the long run, we envision our stamp to be used for pharmaceuticals and by the logistics sector as well. Under European law, traceability means the ability to track any food, feed, food-producing animal or substance that will be used for consumption, through all stages of production, processing and distribution. Its aim is to prevent potential risks that can arise in food and feed, to ensure that all food products in the EU are safe for European citizens to eat. QStamp can significantly contribute to enhanced traceability. At MaterDynamics, we develop nano-sensors to wirelessly monitor and report the external variables that can act over products and industrial processes. With this Phase I and Phase II project, our goal is to prepare our QStamp for market launch. This project is of key strategic interest to us as this will allow us to become the global leader in nano-tech-based smart product tracking.

Keywords: nano based temperature monitoring,nano based pressure monitoring,nano based light monitoring,nano based humidity monitoring,nano supply chain solution,nano food tracking solution
WeNet - The Internet of US (WeNet)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Emerging themes and communities
Action type: Research and Innovation actions
Countries involved: Germany,Israel,India,Spain,Italy,Cyprus,China,Mongolia,Switzerland,Switzerland,Denmark,United Kingdom,Paraguay,Mexico
Call: FET Proactive: emerging paradigms and communities (H2020-FETPROACT-2018-01, 2018)
Start date: 2019-01-01
End date: 2023-06-30
Duration (months): 54.0
Total project cost (EUR): 6724283.0
EU funding (EUR): 6587158.0
Participants: 15
Project status: SIGNED

Diversity permeates our everyday life and covers many dimensions, such as competence, culture, gender or economic across humans and social relations. Technology has evolved to a point where humans from diverse backgrounds, cultures, and experiences have an unprecedented ability to connect with each other. Yet technology does not in-and-by-itself provide support for developing and maintaining the social relationships that transcend geographical and cultural backgrounds. WeNet addresses this gap by providing a diversity-aware, machine-mediated paradigm of social relations. The goal is connecting people that can support each other, and the key is leveraging their diversity. The WeNet paradigm includes a family of computational diversity-aware models supporting human interaction. Learning models construct diversity profiles based on people's past behaviour and interactions. A diversity-aware search builds upon these profiles to connect the "right" people together. To support people’s interactions, a diversity alignment mechanism lifts communication barriers to ensure that messages between humans are interpreted correctly, and a diversity-aware incentive mechanism generates incentives to motivate people to support each other. The entire paradigm is developed taking into consideration ethical guidelines. The WeNet platform provides the technological infrastructure to set out a series of studies that will be carried within universities worldwide with diverse student populations, and with the final goal of improving students' quality of life inside and outside the academic environment. Beyond universities, WeNet's innovative paradigm impacts human interactions in general, especially those that may benefit from a collaborative approach (creative industries, medical diagnosis, ...). The WeNet consortium will develop a research infrastructure that will allow the exploitation of the project results and strengthen the European innovation eco-system in a worldwide perspective.

Keywords: diversity,artificial intelligence,social interactions,ethics
Solving gauge theories in 4D: Exact correlation functions from integrability (EXACTC)

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: United Kingdom
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-03-01
End date: 2025-02-28
Duration (months): 60.0
Total project cost (EUR): 1922232.0
EU funding (EUR): 1922232.0
Participants: 1
Project status: SIGNED

Our current fundamental understanding of the world is through the Standard Model, which is based on gauge theory. But conventional computational tools are either bound to the weakly coupled regime or have rather limited precision. This project is built upon the unique and novel fundamental structure I found, called the Quantum Spectral Curve. It is based on integrability, and allows one to get exact results in an important class of gauge theories at finite values of the coupling. Using the Quantum Spectral Curve I computed the quark–antiquark potential and found the spectrum of dimensions of all local operators in the planar N=4 Super-Yang-Mills theory. With this formulation, I also obtained new predictions for the high energy scattering amplitudes in QCD. This proposal explains how to use the Quantum Spectral Curve, in combination with the powerful method of separation of variables in integrable systems, to compute all correlation functions. This would imply the solution of a Quantum Field Theory in 4D for the first time. Using integrability in gauge theory has proven to be greatly successful, but equally it requires a broad range of skills, expertise, and human resources. My track record of directing successful research teams, combined with my world-leading expertise of the Quantum Spectral Curve, places me perfectly to deliver this groundbreaking result.

Keywords: quantum field theories,integrable systems,gauge,gravity duality