Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Controlling Quantum Experiments with Reinforcement Learning (ConQuER)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-10-01
End date: 2022-09-30
Duration (months): 24.0
Total project cost (EUR): 219312.0
EU funding (EUR): 219312.0
Participants: 1
Project status: CLOSED

This proposal aims to advance the integration of state-of-the-art machine learning and artificial intelligence (AI) with quantum physics experiments. The abundance of physics data coming from experiments and simulations of quantum systems allows us to use the power and efficiency of machine learning methods to extract information from this data in a way that goes beyond traditional methods. Based on this insight, I will design and implement a reinforcement learning (RL) method that can directly control, stabilize (to create a quantum memory) and tune (for device characterization and setup) a multiple-spin-qubit experiment at the Niels Bohr Institute in Copenhagen. The resulting framework and open-source AI software are expected to be useful in any other quantum experiment for which tuning is a major component, and is expected to generate a large impact in the community. Automatic device tuning will free up precious time resources that can be invested in significant experimental advances.

Keywords: spin qubits,reinforcement learning,noisy experimental control,automated device tuning
A Novel Deep Eutectic System for the Creation of New Co-crystals (Eutomic)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Coordination and support actions
Countries involved: United Kingdom
Call: FET Innovation Launchpad (H2020-FETOPEN-2018-2019-2020-03, 2019)
Start date: 2020-06-01
End date: 2021-11-30
Duration (months): 18.0
Total project cost (EUR): 99878.0
EU funding (EUR): 99878.0
Participants: 1
Project status: CLOSED

EUTOMIC presents a completely new and unexpected idea sprung from the cradle of the EU Horizon2020 FET-Open grant ‘MagnaPharm’ which is concerned with the control of polymorphism in pharmaceuticals through the application of strong magnetic fields. The desire to control and constrain the growth of crystals using external stimuli in MagnaPharm led inexorably to the discovery of this new class of deep eutectics, using a sparingly stable synergistic solvent system as a vector for the spontaneous creation of new cocrystals in and of itself. EUTOMIC proposes the support of the FET Innovation Launchpad to increase the investment readiness of this innovation towards a commercially attractive & sustainable university spin-off company, ‘Eutomic Ltd.’, EUTOMIC will foster the full exploration and exploitation of the novel materials being created from this new eutectic system.

Keywords: organic crystals,co crystal formulation,deep eutectic systems,pharmaceuticals
Infrastructured lives: assembling politics and liveable life in contemporary Kenya (INFRALIVES)

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: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-01-14
End date: 2024-01-13
Duration (months): 24.0
Total project cost (EUR): 175572.48
EU funding (EUR): 175572.48
Participants: 1
Project status: SIGNED

The proposed project focuses on mega-infrastructures in contemporary Kenya and provides an ethnographically-grounded theoretical account of social and political geographies of contemporary mega-infrastructures. It accomplishes this by theorising how semiotic and material forms of mega-infrastructures – which by their nature produce space – simultaneously function as technologies of governance that articulate contested imaginaries of "progress" and "development", and, at the level of everyday practice, shape (im)possibilities of liveable life across uneven landscapes of contemporary Kenya. Through this theorisation of mega-infrastructures, I explore how, in the current neoliberal conjecture of capitalist development in the Global South, infrastructure is a verb and not a noun. It is not a symbol of "development" that states use in their attempt to achieve national prosperity. Instead, in the contemporary context of mega-projects, to infrastructure is to expose populations to multi-faceted forms of semiotic and material subjugation to state and capital power. Therefore, infrastructure as a process cannot be understood as externally imposed on populations; instead, the process of infrastructuring is a socially and politically mediated transformation of the body in and through state-directed mega-projects that reduce human beings to abstractions – such as citizens, beneficiary groups, or infrastructure users – which renders infrastructure as fundamental to the material and semiotic violence of the capitalist state. Theoretically, the proposed project draws on critical social theory – including the work of Theodor Adorno, Judith Butler, Francis Fanon, and Achille Mbembe – in relation to geographical scholarship on infrastructure, and through these original theoretical explorations, the account of infrastructured lives provides a novel contribution to critical scholarship on political and social geographies of infrastructure.

Keywords: mega infrastructure,africa,development,social theory,politics,globalisation
Molecular Information Dynamics (MID)

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: Israel
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-05-01
End date: 2018-11-30
Duration (months): 24.0
Total project cost (EUR): 182509.2
EU funding (EUR): 182509.2
Participants: 1
Project status: CLOSED

MID will develop and apply a theoretical approach based on information theory to provide a novel representation of the dynamics of single biomolecules and their response to chemical and mechanical stimuli. By integrating the information-theoretic methodology with computational modelling we will elucidate how information is encoded and transduced at the molecular level, with special reference to specific conformational transitions assisting molecular recognition and folding/unfolding dynamics in DNA-ligand complexes. An information-theoretic approach known as surprisal analysis has been initiated for the analysis of selective energy requirements and specific energy disposal of chemical reactions in gas-phase. In this approach, thermodynamic-like state variables are identified from experimental or from simulation data. Following on many other applications in chemistry and physics it has been recently used for the analysis of high throughput biological signalling data. In this proposal, I will advance an analogous framework to treat the dynamics of individual biomolecules. The main outcome will be a compact representation of the dynamics that can handle anharmonic motions, transitions between local minima and long relaxation times. The power of the methodology lies in the development of a thermodynamically consistent theoretical machinery that is applicable at the level of individual molecules and that does not require assumptions about equilibrium. The formalism will be applied in the analysis of molecular dynamics modelling, which will in turn provide mechanistic insights into the dynamics of specific DNA-ligand complexes. The successful implementation of the project relies on the synergy between the expertise of the researcher on theoretical modelling of molecular systems and the expertise of the host Professor who pioneered surprisal analysis and maximum entropy approach for the analysis of chemical reactions and high throughput biological data.

Keywords: dynamics of biomolecules,single molecule thermodynamics,molecular modelling,conformational transitions,dna based machines,information theoretic approach,surprisal analysis
Artificial engineered Phonons for application in Integrated Photonics (APIP)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: TERMINATED

Stimulated Brillouin (SBS) and Raman Scattering (SRS) effects have led to numerous applications in fiber optics (e.g. tunable laser and amplifiers). In integrated photonics, recent progress in opto-mechanics have shown that artificial analogue to the Raman effect, namely mechanical structure resonances, can be engineered and could results in new applications. That said, a few challenges must still be addressed before fiber applications of SRS can be transposed in a µm size optical chip. In particular the frequency of the mechanical resonances -aka artificial phonons- is still too low (<10Ghz) for most applications, and the light-phonon interaction is much weaker in waveguides compared to what is obtained in cavity opto-mechanics. Moreover current approaches relying on Radio-frequency measurements do not allow investigating high frequency (>10GHz) resonances. The APIP project proposes to adapt slotted waveguides structures to support controlled high frequency mechanical resonances. Such structures were created to set the light in strong interaction with the surrounding medium –mostly for sensing applications-, and then large part of the optical mode is confined at the dielectric interface, where the mechanical resonances are precisely also localized. Therefore such slotted structures are the best suited for the investigation of artificial SRS in integrated optics as a large light-phonon interaction is expected. Moreover, experimental investigation during the APIP project -and this is the second originality of the project- will rely on all-optical measurements techniques, like the one used in material science to characterize natural Raman effect. Therefore high frequency (10GHz-1THz) resonance will be investigated, without being limited by the small bandwidth of RF measurement techniques that are currently used.

Keywords: optomechanics,integrated photonics,nonlinear optics,artificial phonon,stimulated raman scattering,stimulated brillouin scattering
Rapid Defect Characterisation by Non-Contact Ultrasonic Scanning (NCUscan)

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: United Kingdom,United Kingdom
Call: ERC Proof of Concept Grant (ERC-2015-PoC, 2015)
Start date: 2016-04-01
End date: 2017-09-30
Duration (months): 18.0
Total project cost (EUR): 149998.0
EU funding (EUR): 147279.25
Participants: 2
Project status: CLOSED

Surface defect detection and characterization is a safety-critical non-destructive testing (NDT) process for many regulated industries, including railway networks, oil and gas, energy generation, aerospace, automotive, and civil infrastructure. The cost of repairing and replacing defective or old components can be extremely high, both in terms of the costs of the components and the related economical costs of a system shut-down. There are several NDT approaches in common use, but these have a number of operational drawbacks that impact adversely on in-situ examination cycle times, and can lead to the requirement for destructive testing. Through NonContactUltrasonic (Starting Grant, 202735) we have shown the promise of surface-wave ultrasonics for characterizing surface-breaking defects in metals. We have shown that the geometry of the defects has a significant effect on the scattered waves, and developed theory and industrially viable techniques for characterising individual defects. All measurements have used non-contact ultrasonic techniques, giving the potential for a fast and simple measurement system, removing the need for visual testing or removal of parts from service, and which could operate in hazardous environments. The concept has been tested successfully in the lab and a Proof of Concept unit is now needed to combine the processes for analysing various crack formations into a single device. This project will develop a demonstrator unit using electromagnetic acoustic transducers and laser ultrasound – testing and adopting industrially viable detection methods in place of the lab-based system used previously. This will lead to a simple, on-line measuring system for industry, with the potential for productivity improvements of up to 50% over competing radiographic methods, and with substantially lower capital costs, with the potential to measure even in the presence of thin coatings without requiring their removal prior to testing.

Keywords: ultrasound,non destructive testing,surface acoustic waves
Seeing the View (STV)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2019-03-01
End date: 2021-02-28
Duration (months): 24.0
Total project cost (EUR): 3465625.0
EU funding (EUR): 2425937.5
Participants: 1
Project status: CLOSED

The automotive industry is amid a disruptive change highlighted by the entry of autonomous vehicles. However, at current stage, self-driving cars technologies are not safe enough for operation on public roads. They suffer from too many missed detections and high false alarm rates. Some autonomous vehicle developers have tried to overcome these problems by putting higher resolution (and higher cost) sensors, yet they solutions still these suffer from inadequate perception. There is a growing market consensus that the limitations of the current perception solutions (called ‘Environmental Models’) are entrenched in their ‘Object level’ fusion architecture. This cannot be fixed by tweaking the algorithms, changing parameters or adding more data for learning. A promising alternative solution is ‘Raw data fusion’ with roots in academia and now diffusing to commercial projects. VAYAVISION “Seeing the View” project is based on ‘Raw Data Fusion’ architecture with up-sample techniques to further increase the effective resolution of sparse measurements from active sensors (LiDARs and RADARs). The solution constructs an accurate RGBd 3D model based even on low cost sensors while enabling the perception algorithms richer data and a more comprehensive view of the environment. Using Machine Vision algorithms and Deep Neural Networks, VAYAVISION detects very small obstacles (such as a 10cm high box) and has much better detection rates and with less false alarms than the legacy ‘Object Fusion’ solutions. VAYAVISION’s raw data fusion platform is planned to enable a much safer and comfortable driving experience at an affordable vehicle price. VAYAVISION solves the heart of autonomous driving challenge of correctly understanding the changing environment of the vehicle by using ‘Raw Data Fusion’ and Up-sampling.

Keywords: autonomous vehicles,sensor fusion
A natural, non-surgical, and safe facial filler which treats the root cause of facial ageing. (Volumizer)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: Switzerland
Call: Accelerating the uptake of nanotechnologies advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2018-01-01
End date: 2018-04-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Aging is something that affects everyone. In order to combat the effects of aging, in a time where social and aesthetic appeal is so popular, people have turned to aesthetic injectables as a way to look and feel rejuvenated. Unfortunately, there are a multitude of problems with available facial fillers. Current solutions available on the market often have a multitude of side effects such as swelling, redness, bleeding or allergic reactions. Additionally, the procedures are costly, and due to the short term results, will produce a greater economic burden as continuous application is needed. PB&B has developed a unique anti-aging Volumizer that combats facial aging at the source by increasing local fat tissue in the face for a healthier and younger look. The solution is injected directly into the face, where over two months, the solution slowly evenly fills the wrinkles and deep fat tissue compartments. In order to reach commercialization, the Company will look to execute first in human trials and subsequent clinical trials to validate the efficacy. These results will be used in order to apply for CE certification. During the Phase 1 feasibility assessment PB&B will need to define a target segment of users within the markets of aesthetic products and facial injectables. A scaled up supply chain will need to be established in order to optimize distribution and market demand. Intellectual property will need to be patented after research and development has produced a product for commercialization.

Keywords: facial aesthetics,anti aging,facial rejuvenation,injectables,facial fillers,biodegradable microspheres,lipid delivery
WATER AND ENERGY EFFICIENT INDUCTION HUMIDIFICATION SYSTEM FOR TEXTILE APPLICATIONS (IHS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Italy
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2018-05-01
End date: 2020-04-30
Duration (months): 24.0
Total project cost (EUR): 2469257.5
EU funding (EUR): 1728480.25
Participants: 4
Project status: CLOSED

The AERIS Group, is located near Bergamo, Italy and specializes in the design, development, manufacturing and commissioning of air technological applications, ranging from air conditioning through to removal and heat recovery. With more than 50 years of experience and a turnover of over €6 million in 2016, our group is composed of 3 companies: AERIS air technologies, expert in HVAC and filtering, EDENYA for air cooling solutions and MAZZINIICI, our textile division. The technical know-how of our high-specialized professionals, our detailed knowledge of materials, production processes and production methods in the different industrial fields as well as a business strategy turned towards continuous innovation and global presence are the basis of our success and growth. We listen carefully to customers feedback from the textile sector – which represents 35% of our turnover – and their concerns about product quality, water and energy consumption. This led us to the development of the patented Supra high pressure water technology 20 years ago. We are now developing the next step, the Induction Humidification System (IHS): by integrating a customized air distribution and diffusion system with specific diffusers, we can “move” a volume of air 10 times equal to the primary air, and fully mixed with micronized water for even humidity level without water waste. The IHS reduces drastically water consumption by 65% and energy by up to 80%, while guaranteeing an optimum control of humidity (+/-0.5%) and temperature (+/- 0.5 degrees). The IHS system will achieve long-term profitability for both our customers and our company, with an increase of sales reaching € 36 millions, profit for € 8.7 millions and 31 new employees by 2024.

Keywords: textile,humidification,air conditioning,water efficiency,energy efficiency
Making and Breaking Habits (HABIT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Ireland
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-10-01
End date: 2026-09-30
Duration (months): 60.0
Total project cost (EUR): 1499910.0
EU funding (EUR): 1499910.0
Participants: 1
Project status: SIGNED

Every minute of every day, our brain’s habit system is hard at work automating well-practiced actions so our brains can focus on new and more complex challenges. This does not always work to our benefit, however. My research has implicated hyper-expression of habits in a range of compulsive behaviours, from drug addiction to out-of-control spending, binge-eating and obsessive-compulsive rituals. Despite the importance of habits in our lives, there are major gaps in our understanding of how they are acquired in humans and a virtual absence of research into how they can be broken. This is because the mainstay experimental paradigms in the field measure habit expression in a way that cannot distinguish impairments in goal-directed control from the strength of automatic stimulus-response associations. This has led to confounded interpretations that have seriously impeded research aiming to investigate these basic mechanisms. HABIT aims to change this by leveraging known differences in the temporal dynamics of each sysem, where stimulus-response automaticity is fast and goal-directed behaviour, slow. Our novel approach couples the millisecond precision of electrophysiology with the breadth of large-scale phenotyping via smartphone to develop a new mechanistic model of the independent functioning of these systems and their interaction. This novel combination will be used to develop a detailed neural account of both systems and their split-second trade-off, but also to test the real-world functional consequences of disruptions to either system. A series of causal manipulations anchor this grant and are designed to challenge key assumptions of our working model. Can we engineer more robust and rigid habits by-design and develop novel methods to break the most rigid of habits? With clear potential for impact, the fundamental insights from this project will reveal how we can harness the power of habits in our lives and better understand key aspects of mental illness.

Keywords: habit,goal directed,transdiagnostic,compulsivity,tics