Data-Gouv-ML/pcri-erc-participations-et-projets-laureats huggingface dataset:
Projet ERC : ACTIVE_ADAPTIVE (Horizon 2020, appel 2020, Consolidator grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Condensed matter physics
Entité participante : Board of the Swiss Federal Institutes of Technology — Pays : Suisse — Rôle : PI
Acronyme de l'entité : ETH Zurich
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1997718.0 €

The vision of creating autonomous materials constituted of microscale motile units promises to disrupt a broad range of technologies but is still far beyond our reach. Inspired by nature, these materials are active, i.e. they convert available energy into functions, and adaptive, i.e. they respond to stimuli by reconfiguring via internal feedback and signalling schemes. In order to progress, we need to rethink the way in which we design, fabricate and control synthetic active units, aka active colloids or artificial microswimmers. I propose an innovative approach that combines colloidal synthesis, assembly and actuation with nanofabrication and the implementation of feedback to realize a new class of active colloids. Borrowing ideas from soft-robotic systems, we aim to realize and study “cyber-free” artificial microswimmers, which, in addition to on-board energy conversion, present internal degrees of freedom allowing for sensing, feedback and communication pathways ultimately to be regulated without external intervention. In particular, we will: 1) Numerically and experimentally implement feedback schemes to regulate single-particle motility and collective behaviour based on control theory. 2) Use a unique combination of capillary assembly and two-photon nanolithography to create shape-shifting active colloids that autonomously regulate their motility based on stimuli orthogonal to their propulsion schemes. 3) Create “transmitting” and “receiving” active colloids, sending and sensing chemical signals (pH changes), to regulate their motility. By introducing strong coupling between particles, and with stimuli beyond classical colloidal interactions, this proposal will enable a forward leap in the study of the emergent physics of active systems, as required to realize the vision of autonomous materials and microscale devices.

Mots-clés : active matter,active colloids,colloidal assembly,reconfigurable colloids,microgels
Projet ERC : TRANSEP (Horizon 2020, appel 2015, Advanced grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Products and processes engineering
Entité participante : KTH Royal Institute of Technology — Pays : Suède — Rôle : PI
Acronyme de l'entité : KTH
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 2097520.0 €

The vision spelled out in this proposal is to overcome the failure of Computational Fluid Dynamics to tackle one of the central unsolved fluid physics problems, namely predicting the sensitive flow physics associated with laminar-turbulent transition and flow separation. A recent, highly influential report by NASA (Slotnick et al., 2014) clearly states that the major shortcoming of CFD is its “… inability to accurately and reliably predict turbulent flows with significant regions of separation”, most often associated with laminar-turbulent transition. The research proposed here will address this shortcoming and develop and utilize computational methods that are able to predict, understand and control the sensitive interplay between laminar-turbulent transition and flow separation in boundary layers on wings and other aerodynamic bodies. We will be able to understand enigmas such as the recent results from the experiments of Saric et al. at the Texas A&M Univeristy where the laminar area of a wing grows after a smooth surface have been painted (increased roughness), or the drastic changes of laminar-turbulent transition and separation locations on unsteady wings, or the notoriously difficult interaction of multiple separation and transition regions on high-lift wing configurations. For such flows there have been little understanding of flow physics and few computational prediction capabilities. Here we will perform simulations that give completely new possibilities to visualize, understand and control the flow around such wings and aerodynamic bodies, including the possibility to compute and harness the flow sensitivities. We will tackle these outstanding flow and turbulence problem using the new possibilities enabled by multi-peta scale computing.
Projet ERC : VarPL (Horizon 2020, appel 2018, Starting grants)
Domaine scientifique : Social Sciences and Humanities
Panel : The Human Mind and Its Complexity
Entité participante : Universitätsmedizin Göttingen — Pays : Allemagne — Rôle : PI
Acronyme de l'entité : UMG
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 853691.0 €

The visual system is equipped with a powerful plasticity mechanism, perceptual learning, which serves to improve perception of consistent inputs. However, the signals it receives are extremely variable. How variability affects perceptual learning is unclear. Here, I ask how the visual system tackles the challenge of variability for learning: variability could impair perceptual learning, or, like in language and motor learning, result in the ability to generalize from trained to new materials. To create effective training programs, e.g., for clinical applications, it is crucial to know how to reap the benefits of variability, or, conversely, to overcome the challenges variability poses. Yet, the neural mechanisms by which the visual system copes with variability are unknown, hampering this endeavor. To close this gap, I propose a new theory, derived from the architecture of cortex: I hypothesize that perceptual learning is not limited to early visual areas, but flexibly occurs at a ‘sweet spot’ along the visual hierarchy whose functional properties match the variability in the given environment. To test this theory, I build on a multimodal, multispecies approach I have previously developed to study learning: I will identify general principles by which variability affects perceptual learning in behavior, dissect the critical neural circuits in macaque monkeys and humans with neuroimaging, determine the functional characteristics of neurons contributing to learning by electrophysiology, and establish their causal relevance using electrical stimulation. This unique combination of species and techniques is ideally suited to unravel the neural mechanism for coping with variability in perceptual learning. By elucidating the computations and mechanisms by which the visual system handles one of the most characteristic aspects of its inputs, I aim to provide the basis for neuroscience-based training paradigms that help alleviate vision deficits.

Mots-clés : perceptual learning,vision,variability,human,macaque monkey,fmri,electrophysiology,microstimulation,psychophysics,inter species comparison
Projet ERC : WatFun (Horizon 2020, appel 2019, Advanced grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Physical and analytical chemical sciences
Entité participante : TU Wien — Pays : Autriche — Rôle : PI
Acronyme de l'entité : TUW
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 2499787.0 €

The water/oxide interface, and the molecular processes that happen there, regulate everything from environmental chemistry and the sequestration of CO2 to the cohesion of man-made structures. The properties of individual surface sites govern reactivity, so probing chemistry at this level is necessary to better understand natural processes, and to ultimately improve technologies where this interface plays a central role. In this project, we take a radically new approach to investigate the water/oxide interface at the most fundamental, the atomic, scale: we have found a way to integrate bulk liquid water into ultrahigh vacuum (UHV) setups, where an arsenal of highly-developed techniques is available to investigate surfaces. This provides the opportunity to accurately determine fundamental quantities that were hitherto inaccessible, and to obtain clear-cut experimental results for interpreting and predicting molecular-scale processes. In this project, we seize this opportunity to develop novel measurement concepts, and apply them to minerals. Following a broad work plan we will: measure the surface tension of neat water and the surface free energies of solids with unprecedented purity; devise a method to determine, site-by-site, the intrinsic proton affinity, the fundamental property that determines the point of zero charge of oxides in solutions, and their Brønsted acidity in gas-phase reactions; investigate, at the atomic scale, how liquid water affects surface structure, and how oxides become hydroxylated, dissolve, and ‘age’; discover how ice nucleates on the mineral aerosol surfaces that are crucial in cloud formation; study how dissolved CO2 reacts with natural minerals, which affects the global carbon cycle; address the hydrated oxides that form the basis of cements in concrete. While this project focuses on providing a fresh view on environmentally-relevant chemistry, we also show how our approach can make an impact in a much wider range of areas.

Mots-clés : surface science,oxide surfaces,surface chemistry,scanning probe microscopy,mineral  and geochemistry,catalysis  heterogeneous,photo,and electrocatalysis,properties of neat water
Projet ERC : EXPECTPERCEPT (Horizon 2020, appel 2020, Starting grants)
Domaine scientifique : Life Science
Panel : Neuroscience and Disorders of the Nervous System
Entité participante : University of London — Pays : Royaume-Uni — Rôle : PI
Acronyme de l'entité : U. London
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1484575.0 €

The way we perceive the world is strongly influenced by our expectations about what we are likely to see at any given moment. In certain situations – namely when sensory signals are very weak or noisy and expectations are very strong – expectations can even induce hallucinations: seeing an expected stimulus despite its absence. However, the neural mechanisms by which the brain integrates sensory inputs and expectations, and thereby generates the contents of perception, have yet to be established. Previous work, including my own, has demonstrated that processing in the visual cortex is strongly modulated by prior expectations. However, perhaps surprisingly, previous studies have not yet explained how these modulations relate to subjective perception, leading to a lacuna in our knowledge of how the brain supports perception. Here, I propose to study the neural mechanisms underlying subjective perception by using strong visual expectations to induce hallucinations in healthy human participants. I hypothesise that, upon presentation of a predictive cue (e.g., a siren), memory systems pre-activate templates of expected stimuli (an ambulance) in the deep layers of visual cortex, leading to biased processing of sensory inputs from the very moment they arrive. I will test this proposal by addressing three complimentary questions: 1) How do expectations filter perception? 2) What is the computational architecture underlying perceptual inference? 3) What is the neural source of expectations? I will combine psychophysical tasks probing participants’ perception with neuroimaging tools with exquisite spatial (high-field fMRI) and temporal (MEG) resolution to address these questions. The overarching aim of my research is to provide a mechanistic account of subjective perception. Ultimately, these insights may improve our understanding of clinical disorders characterised by aberrations in perception, such as psychosis.

Mots-clés : neuroimaging,perception,prediction,predictive coding,memory,expectation
Projet ERC : COYOTE (Horizon 2020, appel 2018, Starting grants)
Domaine scientifique : Physical Sciences and Engineering
Panel : Systems and communication engineering
Entité participante : Austrian Institute of Technology — Pays : Autriche — Rôle : PI
Acronyme de l'entité : AIT;ARC
Type d'entité : Recherche
Financement ERC de l'entité : 1500000.0 €

The widespread adoption of the Internet and its influence on our daily life is unquestioned. Global Zettabyte traffic has rendered photonics as indispensable for the communication infrastructure. While direct signal detection has been dismissed in radio communications decades ago, it prevails in short- and medium-reach optics in virtue of its simplicity. In such an environment photonics can only rely on incremental improvements, whereas it desperately seeks for disruptive concepts. COYOTE envisions a novel coherent homodyne transceiver concept for analogue signals and access to higher-order formats with efficiencies of 10 bits/symbol. On top of this, high-fidelity transport of multi-band 5G radio signals in the millimetre-wave range up to 100 GHz will be enabled by analogue coherent photonics while mitigating energy-hungry digital signal processing. COYOTE takes one more leap and dares the contradictory full-duplex data transmission in virtue of its novel reception engine to ultimately guarantee a lean solution with greatly simplified yet flexible “hardware”. The key asset of COYOTE’s coherent engine will be a locked laser with improved coherence characteristics together with a flexible modulator-detector element, which is capable to emulate direct-detection systems in a transparent way while giving birth to novel networking concepts. Exploration of the 3D Stokes and 2D quadrature spaces through a segmented receiver architecture will boost the spectral efficiency to >10 bits/s/Hz. It is the lean and yet efficient coherent transceiver methodology of COYOTE that will remove the currently existing boundary between direct-detection and coherent systems in the midst of network reaches. By coherently “reviving” these telecom segments of integrated wireline-wireless access networks, optical interconnects for intra-datacentre connectivity and even quantum communication, an order-of-magnitude improvement in terms of spectral efficiency x reach product will be gained.

Mots-clés : photonics,optical telecommunication,coherent optics,radio over fibre
Projet ERC : CHRONO (Horizon 2020, appel 2018, Advanced grants)
Domaine scientifique : Social Sciences and Humanities
Panel : The Social World and Its Diversity
Entité participante : University of Oxford — Pays : Royaume-Uni — Rôle : PI
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 2499811.0 €

The widespread use of electronic devices, artificial light and rise of the 24-hour economy means that more individuals experience disruption of their chronotype, which is the natural circadian rhythm that regulates sleep and activity levels. The natural and medical sciences focus on the natural environment (e.g., light exposure), genetics, biology and health consequences, whereas the social sciences have largely explored the socio-environment (e.g., working regulations) and psychological and familial consequences of nonstandard work schedules. For the first time CHRONO bridges these disparate disciplines to ask: What is the role of biology, the natural and socio-environment and their interaction on predicting and understanding resilience to chronotype disruption and how does this in turn impact an individual’s health (sleep, cancer, obesity, digestive problems) and family (partnership, children) outcomes? I propose to: (1) develop a multifactor interdisciplinary theoretical model; (2) disrupt data collection by crowdsourcing a sociogenomic dataset with novel measures; (3) discover and validate with informed machine learning innovative measures of chronotype (molecular genetic, accelerometer, microbiome, patient-record, self-reported) and the natural and socio-environment; (4) ask fundamentally new substantive questions to determine how chronotype disruption influences health and family outcomes and, via Biology x Environment interaction (BxE), whether this is moderated by the natural or socio-environment; and, (5) develop new statistical models and methods to cope with contentious issues, answer longitudinal questions and engage in novel quasi-experiments (e.g., policy and life course changes) to transcend description to identify endogenous factors and causal mechanisms. Interdisciplinary in the truest sense, CHRONO will overturn long-held substantive findings of the causes and consequences of chronotype disruption.

Mots-clés : circadian rhythms,chronotype,family,health,genetics,microbiome
Projet ERC : 3D-JOINT (Horizon 2020, appel 2014, Consolidator grants)
Domaine scientifique : Life Science
Panel : Prevention, Diagnosis and Treatment of Human Diseases
Entité participante : University Medical Center Utrecht — Pays : Pays-Bas — Rôle : PI
Acronyme de l'entité : UMC
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 1901871.0 €

The world has a significant medical challenge in repairing injured or diseased joints. Joint degeneration and its related pain is a major socio-economic burden that will increase over the next decade and is currently addressed by implanting a metal prosthesis. For the long term, the ideal solution to joint injury is to successfully regenerate rather than replace the damaged cartilage with synthetic implants. Recent advances in key technologies are now bringing this “holy grail” within reach; regenerative approaches, based on cell therapy, are already clinically available albeit only for smaller focal cartilage defects. One of these key technologies is three-dimensional (3D) bio-printing, which provides a greatly controlled placement and organization of living constructs through the layer-by-layer deposition of materials and cells. These tissue constructs can be applied as tissue models for research and screening. However, the lack of biomechanical properties of these tissue constructs has hampered their application to the regeneration of damaged, degenerated or diseased tissue. Having established a cartilage-focussed research laboratory in the University Medical Center Utrecht, I have addressed this biomechanical limitation of hydrogels through the use of hydrogel composites. Specifically, I have pioneered a 3D bio-printing technology that combines accurately printed small diameter thermoplast filaments with cell invasive hydrogels to form strong fibre-reinforced constructs. This, in combination with bioreactor technology, is the key to the generation of larger, complex tissue constructs with cartilage-like biomechanical resilience. With 3D-JOINT I will use my in-depth bio-printing and bioreactor knowledge and experience to develop a multi-phasic 3D-printed biological replacement of the joint.

Mots-clés : 3d printing,biofabrication,cartilage,hydrogel
Projet ERC : 3D-JOINT (Horizon 2020, appel 2014, Consolidator grants)
Domaine scientifique : Life Science
Panel : Prevention, Diagnosis and Treatment of Human Diseases
Entité participante : Utrecht University — Pays : Pays-Bas — Rôle : Partner
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 97000.0 €

The world has a significant medical challenge in repairing injured or diseased joints. Joint degeneration and its related pain is a major socio-economic burden that will increase over the next decade and is currently addressed by implanting a metal prosthesis. For the long term, the ideal solution to joint injury is to successfully regenerate rather than replace the damaged cartilage with synthetic implants. Recent advances in key technologies are now bringing this “holy grail” within reach; regenerative approaches, based on cell therapy, are already clinically available albeit only for smaller focal cartilage defects. One of these key technologies is three-dimensional (3D) bio-printing, which provides a greatly controlled placement and organization of living constructs through the layer-by-layer deposition of materials and cells. These tissue constructs can be applied as tissue models for research and screening. However, the lack of biomechanical properties of these tissue constructs has hampered their application to the regeneration of damaged, degenerated or diseased tissue. Having established a cartilage-focussed research laboratory in the University Medical Center Utrecht, I have addressed this biomechanical limitation of hydrogels through the use of hydrogel composites. Specifically, I have pioneered a 3D bio-printing technology that combines accurately printed small diameter thermoplast filaments with cell invasive hydrogels to form strong fibre-reinforced constructs. This, in combination with bioreactor technology, is the key to the generation of larger, complex tissue constructs with cartilage-like biomechanical resilience. With 3D-JOINT I will use my in-depth bio-printing and bioreactor knowledge and experience to develop a multi-phasic 3D-printed biological replacement of the joint.

Mots-clés : 3d printing,biofabrication,cartilage,hydrogel
Projet ERC : Water-Futures (Horizon 2020, appel 2020, Synergy grants)
Entité participante : University of Exeter — Pays : Royaume-Uni — Rôle : Partner
Type d'entité : Enseignement supérieur ou secondaire
Financement ERC de l'entité : 256695.0 €

The world population living in urban settlements is expected to increase to 70% of 9.7 billion by 2050. Historically, as cities grew, new water infrastructures followed as needed. However, these developments had less to do with real planning than with reacting to crisis situations and urgent needs, due to the inability of urban water planners to consider long-term, deeply uncertain and ambiguous factors affecting urban development and water demand. These, coupled with increasingly uncertain climate conditions, indicate the need for a more holistic and intelligent decision-making framework for managing water infrastructures in the cities of the future. This project aims to develop a new theoretical framework for the allocation and development decisions on drinking water infrastructure systems, so that they are socially equitable, economically efficient and environmentally resilient, as advocated by the UN Agenda 2030, Sustainable Development Goals. The framework will integrate real-time monitoring and control with long-term robustness and flexibility-based pathway methods, and incorporate economic, social, ethical and environmental considerations for sustainable transitioning of urban water systems under deep uncertainty with multiple possible futures. The Water-Futures team will build on synergies from the four research groups, transcending methodologies from water science, systems and control theory, economics and decision science, and machine learning, into an integrated decision and control framework, to be implemented as an open-source research toolbox. The new science outcomes will be applied to three case studies exemplifying different types of urban water systems: a mature, relatively stable system; a mature and rapidly expanding system; and a relatively recent supply system in a developing country with high growth and special challenges, including limited resources, intermittent supply and high water losses.

Mots-clés : urban drinking water systems,computational intelligence,hydroinformatics,cyber physical systems