ERC FUNDED PROJECTS

Aeroelastic instabilities are at the origin of large deformations of structures and are limiting the capacities of products in various industrial branches such as aeronautics, marine industry, or wind electricity production. If suppressing aeroelastic instabilities is an ultimate goal, a paradigm shift in the technological development is to take advantage of these instabilities to achieve others objectives, as reducing the drag of these flexible structures. The ground-breaking challenges addressed in this project are to design fundamentally new theoretical methodologies for (i) describing mathematically aeroelastic instabilities, (ii) suppressing them and (iii) using them to reduce mean drag of structures at a low energetic cost. To that aim, two types of aeroelastic phenomena will be specifically studied: the flutter, which arises as a result of an unstable coupling instability between two stable dynamics, that of the structures and that the flow, and vortex-induced vibrations which appear when the fluid dynamics is unstable. An aeroelastic global stability analysis will be first developed and applied to problems of increasing complexity, starting from two-dimensional free-vibrating rigid structures and progressing towards three-dimensional free-deforming elastic structures. The control of these aeroelastic instabilities will be then addressed with two different objectives: their suppression or their use for flow control. A theoretical passive control methodology will be established for suppressing linear aeroelastic instabilities, and extended to high Reynolds number flows and experimental configurations. New perturbation methods for solving strongly nonlinear problems and adjoint-based control algorithm will allow to use these aeroelastic instabilities for drag reduction. This project will allow innovative control solutions to emerge, not only in flutter or vortex-induced vibrations problems, but also in a much broader class of fluid-structure problems.

1 377 290 €

Start date: 2015-07-01, End date: 2020-06-30

Understanding how and why individuals develop strikingly different life histories is a major goal in evolutionary biology. It is also a prerequisite for conserving important biodiversity within species and predicting the impacts of environmental change on populations. The aim of my study is to examine a key threshold phenotypic trait (alternative migratory tactics) in a series of large scale laboratory and field experiments, integrating several previously independent perspectives from evolutionary ecology, ecophysiology and genomics, to produce a downstream predictive model. My chosen study species, the brown trout Salmo trutta, has an extensive history of genetic and experimental work and exhibits ‘partial migration’: individuals either migrate to sea (‘sea trout’) or remain in freshwater their whole lives. Recent advances in molecular parentage assignment, quantitative genetics and genomics (next generation sequencing and bioinformatics) will allow unprecedented insight into how alternative life history phenotypes are moulded by the interaction between genes and environment. To provide additional mechanistic understanding of these processes, the balance between metabolic requirements during growth and available extrinsic resources will be investigated as the major physiological driver of migratory behaviour. Together these results will be used to develop a predictive model to explore the consequences of rapid environmental change, accounting for the effects of genetics and environment on phenotype and on population demographics. In addition to their value for conservation and management of an iconic and key species in European freshwaters and coastal seas, these results will generate novel insight into the evolution of migratory behaviour generally, providing a text book example of how alternative life histories are shaped and maintained in wild populations.

1 499 202 €

Start date: 2015-05-01, End date: 2020-04-30

What does the fossil record tell us about the evolution of colour in animals through deep time? Evidence of colour in fossils can inform on the visual signalling strategies used by ancient animals. Research to date often has a narrow focus, lacks a broad phylogenetic and temporal context, and rarely incorporates information on taphonomy. This proposal represents a bold new holistic approach to the study of fossil colour: it will couple powerful imaging- and chemical analytical techniques with a rigorous programme of fossilisation experiments simulating decay, burial, and transport, and analysis of fossils and their sedimentary context, to construct the first robust models for the evolution of colour in animals through deep time. The research will resolve the original integumentary colours of fossil higher vertebrates, and the original colours of fossil hair; the fossil record of non-melanin pigments in feathers and insects; the biological significance of monotonal patterning in fossil insects; and the evolutionary history of scales and 3D photonic crystals in insects. Critically, the research will test, for the first time, whether evidence of fossil colour can solve broader evolutionary questions, e.g. the true affinities of enigmatic Cambrian chordate-like metazoans, and feather-like integumentary filaments in dinosaurs. The proposal entails construction of a dedicated experimental maturation laboratory for simulating the impact of burial on tissues. This laboratory will form the core of the world’s first integrated ‘experimental fossilisation facility’, consolidating the PI’s team as the global hub for fossil colour research. The research team comprises the PI, three postdoctoral researchers, and three PhD students, and will form an extensive research network via collaborations with 13 researchers from Europe and beyond. The project will reach out to diverse scientists and will inspire a positive attitude to science among the general public and policymakers alike.

1 562 000 €

Start date: 2016-01-01, End date: 2020-12-31

Learning from others is fundamental to ecological success across the animal kingdom, but a key theme to emerge from recent research is that individuals respond differently to social information. Understanding this diversity is an imposing challenge, because it is hard to replicate the overwhelming complexity of free-living groups within controlled laboratory conditions. Yet here I propose that one of the most complex social models that we know of— the sophisticated eusocial societies of honeybees— offer unrivaled and yet unrecognized potential to study social information flow through a natural group. The honeybee “dance language” is one of the most celebrated communication systems in the animal world, and central to a powerful information network that drives our most high-profile pollinator to food, but bee colonies are uniquely tractable for two reasons. Firstly, next-generation transcriptomics could allow us to delve deep into this complexity at the molecular level, on a scale that is simply not available in vertebrate social systems. I propose to track information flow through a natural group using brain gene expression profiles, to understand how dances elicit learning in the bee brain. Secondly, although bee foraging ranges are vast and diverse, social learning takes place in one centralized location (the hive). The social sciences now offer powerful new tools to analyze social networks, and I will use a cutting-edge network-based modelling approach to understand how the importance of social learning mechanisms shifts with ecology. In the face of global pollinator decline, understanding the contribution of foraging drivers to colony success has never been more pressing, but the importance of the dance language reaches far beyond food security concerns. This research integrates proximate and ultimate perspectives to produce a comprehensive, multi-disciplinary program; a high-risk, high-gain journey into new territory for understanding animal communication.

1 422 010 €

Start date: 2016-02-01, End date: 2021-01-31

Imagine in the future, bionic devices that can merge device and biology which can perform molecular sensing, simulate the functions of grown-organs in the lab, or even replace or improve parts of the organ as smart implants? Such bionic devices is set to transform a number of emerging fields, including synthetic biotechnology, regenerative medicine, and human-machine interfaces. Merging biology and man-made devices also mean that materials of vastly different properties need to be seamlessly integrated. One of the promising strategies to manufacture these devices is through 3D printing, which can structure different materials into functional devices, and simultaneously intertwining with biological matters. However, the requirement for biocompatibility, miniaturisation, portability and high performance in bionic devices pushes the current limit for micro- nanoscale 3D printing. This proposal aims to develop a new multi-material, cross-length scale biofabrication platform, with specific focus in making future smart bionic devices. In particular, a new mechanism is proposed to smoothly interface diverse classes of materials, such that an active device component can be ‘shrunk’ into a single small fibre. This mechanism utilises the polymeric materials’ flow property under applied tensile forces, and their abilities to combine with other classes of materials, such as semi-conductors and metals to impart further functionalities. This smart device fibre can be custom-made to perform different tasks, such as light emission or energy harvesting, to bridge 3D bioprinting for the future creation of high performance, compact, and cell-friendly bionic and medical devices.

1 486 938 €

Start date: 2018-01-01, End date: 2022-12-31

Developing brain implants is crucial to better decipher the neuronal information and intervene in a very thin way on neural networks using microstimulations. This project aims to address two major challenges: to achieve the realization of a highly mechanically stable implant, allowing long term connection between neurons and microelectrodes and to provide neural implants with a high temporal and spatial resolution. To do so, the present project will develop implants with structural and mechanical properties that resemble those of the natural brain environment. According to the literature, using electrodes and electric leads with a size of a few microns allows for a better neural tissue reconstruction around the implant. Also, the mechanical mismatch between the usually stiff implant material and the soft brain tissue affects the adhesion between tissue cells and electrodes. With the objective to implant a highly flexible free-floating microelectrode array in the brain tissue, we will develop a new method using micro-nanotechnology steps as well as a combination of polymers. Moreover, the literature and preliminary studies indicate that some surface chemistries and nanotopographies can promote neurite outgrowth while limiting glial cell proliferation. Implants will be nanostructured so as to help the neural tissue growth and to be provided with a highly adhesive property, which will ensure its stable contact with the brain neural tissue over time. Implants with different microelectrode configurations and number will be tested in vitro and in vivo for their biocompatibility and their ability to record and stimulate neurons with high stability. This project will produce high-performance generic implants that can be used for various fundamental studies and applications, including neural prostheses and brain machine interfaces.

1 499 850 €

Start date: 2015-08-01, End date: 2021-07-31

Although various aspects of biomineralisation in corals have been studied for decades, the basic mechanism of precipitation of the aragonite skeleton remains enigmatic. Two parallel lines of inquiry have emerged: geochemist models of calcification that are directly related to seawater carbonate chemistry at thermodynamic equilibrium. Here, the role of the organisms in the precipitation reaction is largely ignored. The second line is based on biological considerations of the biomineralisation process, which focuses on models of biophysical processes far from thermodynamic equilibrium that concentrate calcium ions, anions and proteins responsible for nucleation in specific compartments. Recently, I identified and cloned a group of highly acidic proteins derived the common stony coral, Stylophora pistillata. All of the cloned proteins precipitate aragonite in seawater at pH 8.2 and 7.6 in-vitro. However, it is not at all clear if the expression of these proteins in-vivo is sufficient for the formation of an aragonite skeleton at seawater pH values below ~7.8. Here using a combination of molecular, biophysical, genomic, and cell biological approaches, we proposed to test the core hypothesis that, unless wounded or otherwise having skeletal material exposed directly to seawater, stony zooxanthellate corals will continue to calcify at pH values projected for the CO2 emissions scenarios for 2100. Specifically, the objectives of Ca2Coral are to: 1) Use functional genomics to identify the key genes and proteins involved both in the organic matrix and skeleton formation in the adult holobiont and during its larval development. 2) Use a genetics approach to elucidate the roles of specific proteins in the biomineralisation process. 3) Use ultra-high resolution imaging and spectroscopic analysis at different pH levels to elucidate the biomineralisation pathways and mineral precursor in corals in the adult holobiont and during its larval development.

1 499 741 €

Start date: 2018-01-01, End date: 2022-12-31

In the CATACOAT project, we will develop layer-by-layer solution-processed catalyst overcoating methods, which will result in catalysts that have both targeted and broad impacts. We will produce highly active, stable and selective catalysts for the upgrading of lignin – the largest natural source of aromatic chemicals – into commodity chemicals, which will have an important targeted impact. The broader impact of our work will lie in the production of catalytic materials with unprecedented control over the active site architecture. There is an urgent need to provide these cheap, stable, selective, and highly active catalysts for renewable molecule production. Thanks to its availability and relatively low cost, lignocellulosic biomass is an attractive source of renewable carbon. However, unlike petroleum, biomass-derived molecules are highly oxygenated, and often produced in dilute-aqueous streams. Heterogeneous catalysts – the workhorses of the petrochemical industry – are sensitive to water and contain many metals that easily sinter and leach in liquid-phase conditions. The production of renewable chemicals from biomass, especially valuable aromatics, often requires expensive platinum group metals and suffers from low selectivity. Catalyst overcoating presents a potential solution to this problem. Recent breakthroughs using catalyst overcoating with atomic layer deposition (ALD) showed that base metal catalysts can be stabilized against sintering and leaching in liquid phase conditions. However, ALD creates dramatic drops in activity due to excessive coverage, and forms an overcoat that cannot be tuned. Our materials will feature the controlled placement of metal sites (including single atoms), several oxide sites, and even molecular imprints with sub-nanometer precision within highly accessible nanocavities. We anticipate that such materials will create unprecedented opportunities for reducing cost and increasing sustainability in the chemical industry and beyond.

1 785 195 €

Start date: 2017-12-01, End date: 2022-11-30

Conformal Field Theory (CFT) was originally conceived in four and three dimensions, with applications to particle physics and critical phenomena in mind. However, it is in two dimensions that the most spectacular results have been obtained. In higher dimensions, there used to be a general feeling that the constraining power of conformal symmetry by itself is insufficient to tell nontrivial things about the dynamics. Hence the interest in various additional assumptions. This is not fully satisfactory, since there are likely many CFTs that do not fulfill any of them. The main focus of this proposal is to take a fresh look at the idea that the mathematical structure of CFTs is instead such a strong constraint that it can allow for a complete solution of the theory. This program, known as conformal bootstrap, has provided a new element in the quantum field theory toolbox to describe genuine non-perturbative cases. This project aims to explore new directions and push forward the frontiers of conformal filed theories, with the ultimate objective of a detailed classification and understanding of scale invariant systems and their properties. CFT-MAP will develop more efficient numerical techniques and complementary analytical tools making use of two main methods: by studying correlation functions of operators present in any quantum field theory, such as global symmetry conserved currents and the energy momentum tensor; by inspecting the analytical structure of correlation functions. The project will scan the landscape of CFTs, identifying where and how they exist. By significantly improving over the methods at disposal, this proposal will be able to study theories currently are out of reach. Besides the innovative methodologies, a fundamental outcome of CFT-MAP will be a word record determination of critical exponents in second phase transition, together with additional information that allows an approximate reconstruction of the QFT in the neighborhood of fixed points.

1 500 000 €

Start date: 2018-03-01, End date: 2023-02-28