Project acronym 3D-BioMat
Project Deciphering biomineralization mechanisms through 3D explorations of mesoscale crystalline structure in calcareous biomaterials
Researcher (PI) VIRGINIE CHAMARD
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Country France
Call Details Consolidator Grant (CoG), PE3, ERC-2016-COG
Summary The fundamental 3D-BioMat project aims at providing a biomineralization model to explain the formation of microscopic calcareous single-crystals produced by living organisms. Although these crystals present a wide variety of shapes, associated to various organic materials, the observation of a nanoscale granular structure common to almost all calcareous crystallizing organisms, associated to an extended crystalline coherence, underlies a generic biomineralization and assembly process. A key to building realistic scenarios of biomineralization is to reveal the crystalline architecture, at the mesoscale, (i. e., over a few granules), which none of the existing nano-characterization tools is able to provide.
3D-BioMat is based on the recognized PI’s expertise in the field of synchrotron coherent x-ray diffraction microscopy. It will extend the PI’s disruptive pioneering microscopy formalism, towards an innovative high-throughput approach able at giving access to the 3D mesoscale image of the crystalline properties (crystal-line coherence, crystal plane tilts and strains) with the required flexibility, nanoscale resolution, and non-invasiveness.
This achievement will be used to timely reveal the generics of the mesoscale crystalline structure through the pioneering explorations of a vast variety of crystalline biominerals produced by the famous Pinctada mar-garitifera oyster shell, and thereby build a realistic biomineralization scenario.
The inferred biomineralization pathways, including both physico-chemical pathways and biological controls, will ultimately be validated by comparing the mesoscale structures produced by biomimetic samples with the biogenic ones. Beyond deciphering one of the most intriguing questions of material nanosciences, 3D-BioMat may contribute to new climate models, pave the way for new routes in material synthesis and supply answers to the pearl-culture calcification problems.
Summary
The fundamental 3D-BioMat project aims at providing a biomineralization model to explain the formation of microscopic calcareous single-crystals produced by living organisms. Although these crystals present a wide variety of shapes, associated to various organic materials, the observation of a nanoscale granular structure common to almost all calcareous crystallizing organisms, associated to an extended crystalline coherence, underlies a generic biomineralization and assembly process. A key to building realistic scenarios of biomineralization is to reveal the crystalline architecture, at the mesoscale, (i. e., over a few granules), which none of the existing nano-characterization tools is able to provide.
3D-BioMat is based on the recognized PI’s expertise in the field of synchrotron coherent x-ray diffraction microscopy. It will extend the PI’s disruptive pioneering microscopy formalism, towards an innovative high-throughput approach able at giving access to the 3D mesoscale image of the crystalline properties (crystal-line coherence, crystal plane tilts and strains) with the required flexibility, nanoscale resolution, and non-invasiveness.
This achievement will be used to timely reveal the generics of the mesoscale crystalline structure through the pioneering explorations of a vast variety of crystalline biominerals produced by the famous Pinctada mar-garitifera oyster shell, and thereby build a realistic biomineralization scenario.
The inferred biomineralization pathways, including both physico-chemical pathways and biological controls, will ultimately be validated by comparing the mesoscale structures produced by biomimetic samples with the biogenic ones. Beyond deciphering one of the most intriguing questions of material nanosciences, 3D-BioMat may contribute to new climate models, pave the way for new routes in material synthesis and supply answers to the pearl-culture calcification problems.
Max ERC Funding
1 966 429 €
Duration
Start date: 2017-03-01, End date: 2022-08-31
Project acronym AbioEvo
Project Conditions for the emergence of evolution during abiogenesis
Researcher (PI) Philippe Nghe
Host Institution (HI) ECOLE SUPERIEURE DE PHYSIQUE ET DECHIMIE INDUSTRIELLES DE LA VILLE DEPARIS
Country France
Call Details Consolidator Grant (CoG), LS1, ERC-2020-COG
Summary Abiogenesis, the transition from non-living to living matter, is at the core of the origin of life question. However, the dynamical processes underlying abiogenesis remain unknown.
The AbioEvo project aims to test the hypothesis that RNA-catalysed RNA recombination, if coupled with template-based mechanisms, provides a gradual route for the emergence of evolution by natural selection, starting from collective autocatalysis, toward template-based replication. Indeed, recombination allows both self-reproduction and shuffling of other sequences, thus, once combined with templating, provides the basic ingredients of reproduction, heredity and variation required for Darwinian evolution.
The project decomposes the problem into five steps: (WP1) the study of molecular-level mechanisms to generate and stabilize novel sequences by recombination and templating; (WP2) collective dynamics integrating these mechanisms into the properties of reproduction with heredity, variation, and selection, in order to establish proof-of-concepts of evolutionary modes; (WP3) viability thresholds of recombination-based replicators from increasingly random substrates; (WP4) conditions for open-ended evolution toward template-based replication; (WP5) experimentally informed theoretical estimates of the probability of the proposed evolutionary transitions.
The project would provide first demonstrations of evolution by natural selection in a purely chemical system, gradual and experimentally accessible paths from oligomers to template-based replication, and a method to evaluate prebiotic plausibility from sequence-to-function relationships, kinetics and evolutionary dynamics.
Summary
Abiogenesis, the transition from non-living to living matter, is at the core of the origin of life question. However, the dynamical processes underlying abiogenesis remain unknown.
The AbioEvo project aims to test the hypothesis that RNA-catalysed RNA recombination, if coupled with template-based mechanisms, provides a gradual route for the emergence of evolution by natural selection, starting from collective autocatalysis, toward template-based replication. Indeed, recombination allows both self-reproduction and shuffling of other sequences, thus, once combined with templating, provides the basic ingredients of reproduction, heredity and variation required for Darwinian evolution.
The project decomposes the problem into five steps: (WP1) the study of molecular-level mechanisms to generate and stabilize novel sequences by recombination and templating; (WP2) collective dynamics integrating these mechanisms into the properties of reproduction with heredity, variation, and selection, in order to establish proof-of-concepts of evolutionary modes; (WP3) viability thresholds of recombination-based replicators from increasingly random substrates; (WP4) conditions for open-ended evolution toward template-based replication; (WP5) experimentally informed theoretical estimates of the probability of the proposed evolutionary transitions.
The project would provide first demonstrations of evolution by natural selection in a purely chemical system, gradual and experimentally accessible paths from oligomers to template-based replication, and a method to evaluate prebiotic plausibility from sequence-to-function relationships, kinetics and evolutionary dynamics.
Max ERC Funding
2 000 000 €
Duration
Start date: 2021-06-01, End date: 2026-05-31
Project acronym ARTISTIC
Project Advanced and Reusable Theory for the In Silico-optimization of composite electrode fabrication processes for rechargeable battery Technologies with Innovative Chemistries
Researcher (PI) Alejandro Antonio FRANCO
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Country France
Call Details Consolidator Grant (CoG), PE8, ERC-2017-COG
Summary The aim of this project is to develop and to demonstrate a novel theoretical framework devoted to rationalizing the formulation of composite electrodes containing next-generation material chemistries for high energy density secondary batteries. The framework will be established through the combination of discrete particle and continuum mathematical models within a multiscale computational workflow integrating the individual models and mimicking the different steps along the electrode fabrication process, including slurry preparation, drying and calendering. Strongly complemented by dedicated experimental characterizations which are devoted to its validation, the goal of this framework is to provide insights about the impacts of material properties and fabrication process parameters on the electrode mesostructures and their corresponding correlation to the resulting electrochemical performance. It targets self-organization mechanisms of material mixtures in slurries by considering the interactions between the active and conductive materials, solvent, binders and dispersants and the relationship between the materials properties such as surface chemistry and wettability. Optimal electrode formulation, fabrication process and the arising electrode mesostructure can then be achieved. Additionally, the framework will be integrated into an online and open access infrastructure, allowing predictive direct and reverse engineering for optimized electrode designs to attain high quality electrochemical performances. Through the demonstration of a multidisciplinary, flexible and transferable framework, this project has tremendous potential to provide insights leading to proposals of new and highly efficient industrial techniques for the fabrication of cheaper and reliable next-generation secondary battery electrodes for a wide spectrum of applications, including Electric Transportation.
Summary
The aim of this project is to develop and to demonstrate a novel theoretical framework devoted to rationalizing the formulation of composite electrodes containing next-generation material chemistries for high energy density secondary batteries. The framework will be established through the combination of discrete particle and continuum mathematical models within a multiscale computational workflow integrating the individual models and mimicking the different steps along the electrode fabrication process, including slurry preparation, drying and calendering. Strongly complemented by dedicated experimental characterizations which are devoted to its validation, the goal of this framework is to provide insights about the impacts of material properties and fabrication process parameters on the electrode mesostructures and their corresponding correlation to the resulting electrochemical performance. It targets self-organization mechanisms of material mixtures in slurries by considering the interactions between the active and conductive materials, solvent, binders and dispersants and the relationship between the materials properties such as surface chemistry and wettability. Optimal electrode formulation, fabrication process and the arising electrode mesostructure can then be achieved. Additionally, the framework will be integrated into an online and open access infrastructure, allowing predictive direct and reverse engineering for optimized electrode designs to attain high quality electrochemical performances. Through the demonstration of a multidisciplinary, flexible and transferable framework, this project has tremendous potential to provide insights leading to proposals of new and highly efficient industrial techniques for the fabrication of cheaper and reliable next-generation secondary battery electrodes for a wide spectrum of applications, including Electric Transportation.
Max ERC Funding
1 976 445 €
Duration
Start date: 2018-04-01, End date: 2023-03-31
Project acronym ARTTOUCH
Project Generating artificial touch: from the contribution of single tactile afferents to the encoding of complex percepts, and their implications for clinical innovation
Researcher (PI) Rochelle ACKERLEY
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Country France
Call Details Consolidator Grant (CoG), LS5, ERC-2017-COG
Summary Somatosensation encompass a wide range of processes, from feeling touch to temperature, as well as experiencing pleasure and pain. When afferent inputs are degraded or removed, such as in neuropathies or amputation, exploring the world becomes extremely difficult. Chronic pain is a major health issue that greatly diminishes quality of life and is one of the most disabling and costly conditions in Europe. The loss of a body part is common due to accidents, tumours, or peripheral diseases, and it has instantaneous effects on somatosensory functioning. Treating such disorders entails detailed knowledge about how somatosensory signals are encoded. Understanding these processes will enable the restoration of healthy function, such as providing real-time, naturalistic feedback in prostheses. To date, no prosthesis currently provides long-term sensory feedback, yet accomplishing this will lead to great quality of life improvements. The present proposal aims to uncover how basic tactile processes are encoded and represented centrally, as well as how more complex somatosensation is generated (e.g. wetness, pleasantness). Novel investigations will be conducted in humans to probe these mechanisms, including peripheral in vivo recording (microneurography) and neural stimulation, combined with advanced brain imaging and behavioural experiments. Preliminary work has shown the feasibility of the approach, where it is possible to visualise the activation of single mechanoreceptive afferents in the human brain. The multi-disciplinary approach unites detailed, high-resolution, functional investigations with actual sensations generated. The results will elucidate how basic and complex somatosensory processes are encoded, providing insights into the recovery of such signals. The knowledge gained aims to provide pain-free, efficient diagnostic capabilities for detecting and quantifying a range of somatosensory disorders, as well as identifying new potential therapeutic targets.
Summary
Somatosensation encompass a wide range of processes, from feeling touch to temperature, as well as experiencing pleasure and pain. When afferent inputs are degraded or removed, such as in neuropathies or amputation, exploring the world becomes extremely difficult. Chronic pain is a major health issue that greatly diminishes quality of life and is one of the most disabling and costly conditions in Europe. The loss of a body part is common due to accidents, tumours, or peripheral diseases, and it has instantaneous effects on somatosensory functioning. Treating such disorders entails detailed knowledge about how somatosensory signals are encoded. Understanding these processes will enable the restoration of healthy function, such as providing real-time, naturalistic feedback in prostheses. To date, no prosthesis currently provides long-term sensory feedback, yet accomplishing this will lead to great quality of life improvements. The present proposal aims to uncover how basic tactile processes are encoded and represented centrally, as well as how more complex somatosensation is generated (e.g. wetness, pleasantness). Novel investigations will be conducted in humans to probe these mechanisms, including peripheral in vivo recording (microneurography) and neural stimulation, combined with advanced brain imaging and behavioural experiments. Preliminary work has shown the feasibility of the approach, where it is possible to visualise the activation of single mechanoreceptive afferents in the human brain. The multi-disciplinary approach unites detailed, high-resolution, functional investigations with actual sensations generated. The results will elucidate how basic and complex somatosensory processes are encoded, providing insights into the recovery of such signals. The knowledge gained aims to provide pain-free, efficient diagnostic capabilities for detecting and quantifying a range of somatosensory disorders, as well as identifying new potential therapeutic targets.
Max ERC Funding
1 223 639 €
Duration
Start date: 2019-01-01, End date: 2023-12-31
Project acronym AstroWireSyn
Project Wiring synaptic circuits with astroglial connexins: mechanisms, dynamics and impact for critical period plasticity
Researcher (PI) Nathalie Rouach
Host Institution (HI) COLLEGE DE FRANCE
Country France
Call Details Consolidator Grant (CoG), LS5, ERC-2015-CoG
Summary Brain information processing is commonly thought to be a neuronal performance. However recent data point to a key role of astrocytes in brain development, activity and pathology. Indeed astrocytes are now viewed as crucial elements of the brain circuitry that control synapse formation, maturation, activity and elimination. How do astrocytes exert such control is matter of intense research, as they are now known to participate in critical developmental periods as well as in psychiatric disorders involving synapse alterations. Thus unraveling how astrocytes control synaptic circuit formation and maturation is crucial, not only for our understanding of brain development, but also for identifying novel therapeutic targets.
We recently found that connexin 30 (Cx30), an astroglial gap junction subunit expressed postnatally, tunes synaptic activity via an unprecedented non-channel function setting the proximity of glial processes to synaptic clefts, essential for synaptic glutamate clearance efficacy. Our work not only reveals Cx30 as a key determinant of glial synapse coverage, but also extends the classical model of neuroglial interactions in which astrocytes are generally considered as extrasynaptic elements indirectly regulating neurotransmission. Yet the molecular mechanisms involved in such control, its dynamic regulation by activity and impact in a native developmental context are unknown. We will now address these important questions, focusing on the involvement of this novel astroglial function in wiring developing synaptic circuits.
Thus using a multidisciplinary approach we will investigate:
1) the molecular and cellular mechanisms underlying Cx30 regulation of synaptic function
2) the activity-dependent dynamics of Cx30 function at synapses
3) a role for Cx30 in wiring synaptic circuits during critical developmental periods
This ambitious project will provide essential knowledge on the molecular mechanisms underlying astroglial control of synaptic circuits.
Summary
Brain information processing is commonly thought to be a neuronal performance. However recent data point to a key role of astrocytes in brain development, activity and pathology. Indeed astrocytes are now viewed as crucial elements of the brain circuitry that control synapse formation, maturation, activity and elimination. How do astrocytes exert such control is matter of intense research, as they are now known to participate in critical developmental periods as well as in psychiatric disorders involving synapse alterations. Thus unraveling how astrocytes control synaptic circuit formation and maturation is crucial, not only for our understanding of brain development, but also for identifying novel therapeutic targets.
We recently found that connexin 30 (Cx30), an astroglial gap junction subunit expressed postnatally, tunes synaptic activity via an unprecedented non-channel function setting the proximity of glial processes to synaptic clefts, essential for synaptic glutamate clearance efficacy. Our work not only reveals Cx30 as a key determinant of glial synapse coverage, but also extends the classical model of neuroglial interactions in which astrocytes are generally considered as extrasynaptic elements indirectly regulating neurotransmission. Yet the molecular mechanisms involved in such control, its dynamic regulation by activity and impact in a native developmental context are unknown. We will now address these important questions, focusing on the involvement of this novel astroglial function in wiring developing synaptic circuits.
Thus using a multidisciplinary approach we will investigate:
1) the molecular and cellular mechanisms underlying Cx30 regulation of synaptic function
2) the activity-dependent dynamics of Cx30 function at synapses
3) a role for Cx30 in wiring synaptic circuits during critical developmental periods
This ambitious project will provide essential knowledge on the molecular mechanisms underlying astroglial control of synaptic circuits.
Max ERC Funding
2 000 000 €
Duration
Start date: 2016-10-01, End date: 2022-03-31
Project acronym BactRNA
Project Bacterial small RNAs networks unravelling novel features of transcription and translation
Researcher (PI) Maude Audrey Guillier
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Country France
Call Details Consolidator Grant (CoG), LS2, ERC-2018-COG
Summary Regulation of gene expression plays a key role in the ability of bacteria to rapidly adapt to changing environments and to colonize extremely diverse habitats. The relatively recent discovery of a plethora of small regulatory RNAs and the beginning of their characterization has unravelled new aspects of bacterial gene expression. First, the expression of many bacterial genes responds to a complex network of both transcriptional and post-transcriptional regulators. However, the properties of the resulting regulatory circuits on the dynamics of gene expression and in the bacterial adaptive response have been poorly addressed so far. In a first part of this project, we will tackle this question by characterizing the circuits that are formed between two widespread classes of bacterial regulators, the sRNAs and the two-component systems, which act at the post-transcriptional and the transcriptional level, respectively. The study of sRNAs also led to major breakthroughs regarding the basic mechanisms of gene expression. In particular, we recently showed that repressor sRNAs can target activating stem-loop structures located within the coding region of mRNAs that promote translation initiation, in striking contrast with the previously recognized inhibitory role of mRNA structures in translation. The second objective of this project is thus to draw an unprecedented map of non-canonical translation initiation events and their regulation by sRNAs.
Overall, this project will greatly improve our understanding of how bacteria can so rapidly and successfully adapt to many different environments, and in the long term, provide clues towards the development of anti-bacterial strategies.
Summary
Regulation of gene expression plays a key role in the ability of bacteria to rapidly adapt to changing environments and to colonize extremely diverse habitats. The relatively recent discovery of a plethora of small regulatory RNAs and the beginning of their characterization has unravelled new aspects of bacterial gene expression. First, the expression of many bacterial genes responds to a complex network of both transcriptional and post-transcriptional regulators. However, the properties of the resulting regulatory circuits on the dynamics of gene expression and in the bacterial adaptive response have been poorly addressed so far. In a first part of this project, we will tackle this question by characterizing the circuits that are formed between two widespread classes of bacterial regulators, the sRNAs and the two-component systems, which act at the post-transcriptional and the transcriptional level, respectively. The study of sRNAs also led to major breakthroughs regarding the basic mechanisms of gene expression. In particular, we recently showed that repressor sRNAs can target activating stem-loop structures located within the coding region of mRNAs that promote translation initiation, in striking contrast with the previously recognized inhibitory role of mRNA structures in translation. The second objective of this project is thus to draw an unprecedented map of non-canonical translation initiation events and their regulation by sRNAs.
Overall, this project will greatly improve our understanding of how bacteria can so rapidly and successfully adapt to many different environments, and in the long term, provide clues towards the development of anti-bacterial strategies.
Max ERC Funding
1 999 754 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym Big Mac
Project Microfluidic Approaches mimicking BIoGeological conditions to investigate subsurface CO2 recycling
Researcher (PI) SAMUEL CHARLES GEORGES MARRE
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Country France
Call Details Consolidator Grant (CoG), PE8, ERC-2016-COG
Summary The management of anthropogenic CO2 will be one of the main challenges of this century given the dramatic impact of greenhouse gases on our living environment. A fascinating strategy to restore the advantages of stored CO2 as a raw material would be to consider a slow biological upgrading process of CO2 in deep geological formations.
Significantly, the recent development of microfluidic tools to study pore-scale phenomena under high pressure, opens new avenues to investigate such strategies. Thus, the strategic objective of this project is to develop and to use “Biological Geological Laboratories on a Chip - BioGLoCs” mimicking reservoir conditions in order to gain greater understanding in the mechanisms associated with the biogeological conversion process of CO2 to methane in CGS environment at pore scale.
The specific objectives are: (1) to determine the experimental conditions for the development of competent micro-organisms (methanogens) and to establish the methane production rates depending on the operating parameters, (2) to evaluate the feasibility of a H2 in situ production strategy (required to sustain the methanogenesis process), (3) to investigate the full bioconversion process in 2D and 3D, (4) to demonstrate the process scaling from pore scale to liter scale and (5) to evaluate the overall process performance.
This multidisciplinary project gathering expertise in chemical engineering and geomicrobiology will be the first ever use of microfluidics approaches to investigate a biogeological transformation taking into account the thermo-hydro-bio-chemical processes. It will result in the identification of efficient geomicrobiological methods and materials to accelerate the CO2 to methane biogeoconversion process. New generic lab scale tools will be also made available for investigating geological-related topics (enhanced oil recovery, deep geothermal energy, bioremediation of groundwater, shale gas recovery).
Summary
The management of anthropogenic CO2 will be one of the main challenges of this century given the dramatic impact of greenhouse gases on our living environment. A fascinating strategy to restore the advantages of stored CO2 as a raw material would be to consider a slow biological upgrading process of CO2 in deep geological formations.
Significantly, the recent development of microfluidic tools to study pore-scale phenomena under high pressure, opens new avenues to investigate such strategies. Thus, the strategic objective of this project is to develop and to use “Biological Geological Laboratories on a Chip - BioGLoCs” mimicking reservoir conditions in order to gain greater understanding in the mechanisms associated with the biogeological conversion process of CO2 to methane in CGS environment at pore scale.
The specific objectives are: (1) to determine the experimental conditions for the development of competent micro-organisms (methanogens) and to establish the methane production rates depending on the operating parameters, (2) to evaluate the feasibility of a H2 in situ production strategy (required to sustain the methanogenesis process), (3) to investigate the full bioconversion process in 2D and 3D, (4) to demonstrate the process scaling from pore scale to liter scale and (5) to evaluate the overall process performance.
This multidisciplinary project gathering expertise in chemical engineering and geomicrobiology will be the first ever use of microfluidics approaches to investigate a biogeological transformation taking into account the thermo-hydro-bio-chemical processes. It will result in the identification of efficient geomicrobiological methods and materials to accelerate the CO2 to methane biogeoconversion process. New generic lab scale tools will be also made available for investigating geological-related topics (enhanced oil recovery, deep geothermal energy, bioremediation of groundwater, shale gas recovery).
Max ERC Funding
1 995 354 €
Duration
Start date: 2017-11-01, End date: 2022-10-31
Project acronym BigFastData
Project Charting a New Horizon of Big and Fast Data Analysis through Integrated Algorithm Design
Researcher (PI) Yanlei DIAO
Host Institution (HI) ECOLE POLYTECHNIQUE
Country France
Call Details Consolidator Grant (CoG), PE6, ERC-2016-COG
Summary This proposal addresses a pressing need from emerging big data applications such as genomics and data center monitoring: besides the scale of processing, big data systems must also enable perpetual, low-latency processing for a broad set of analytical tasks, referred to as big and fast data analysis. Today’s technology falls severely short for such needs due to the lack of support of complex analytics with scale, low latency, and strong guarantees of user performance requirements. To bridge the gap, this proposal tackles a grand challenge: “How do we design an algorithmic foundation that enables the development of all necessary pillars of big and fast data analysis?” This proposal considers three pillars:
1) Parallelism: There is a fundamental tension between data parallelism (for scale) and pipeline parallelism (for low latency). We propose new approaches based on intelligent use of memory and workload properties to integrate both forms of parallelism.
2) Analytics: The literature lacks a large body of algorithms for critical order-related analytics to be run under data and pipeline parallelism. We propose new algorithmic frameworks to enable such analytics.
3) Optimization: To run analytics, today's big data systems are best effort only. We transform such systems into a principled optimization framework that suits the new characteristics of big data infrastructure and adapts to meet user performance requirements.
The scale and complexity of the proposed algorithm design makes this project high-risk, at the same time, high-gain: it will lay a solid foundation for big and fast data analysis, enabling a new integrated parallel processing paradigm, algorithms for critical order-related analytics, and a principled optimizer with strong performance guarantees. It will also broadly enable accelerated information discovery in emerging domains such as genomics, as well as economic benefits of early, well-informed decisions and reduced user payments.
Summary
This proposal addresses a pressing need from emerging big data applications such as genomics and data center monitoring: besides the scale of processing, big data systems must also enable perpetual, low-latency processing for a broad set of analytical tasks, referred to as big and fast data analysis. Today’s technology falls severely short for such needs due to the lack of support of complex analytics with scale, low latency, and strong guarantees of user performance requirements. To bridge the gap, this proposal tackles a grand challenge: “How do we design an algorithmic foundation that enables the development of all necessary pillars of big and fast data analysis?” This proposal considers three pillars:
1) Parallelism: There is a fundamental tension between data parallelism (for scale) and pipeline parallelism (for low latency). We propose new approaches based on intelligent use of memory and workload properties to integrate both forms of parallelism.
2) Analytics: The literature lacks a large body of algorithms for critical order-related analytics to be run under data and pipeline parallelism. We propose new algorithmic frameworks to enable such analytics.
3) Optimization: To run analytics, today's big data systems are best effort only. We transform such systems into a principled optimization framework that suits the new characteristics of big data infrastructure and adapts to meet user performance requirements.
The scale and complexity of the proposed algorithm design makes this project high-risk, at the same time, high-gain: it will lay a solid foundation for big and fast data analysis, enabling a new integrated parallel processing paradigm, algorithms for critical order-related analytics, and a principled optimizer with strong performance guarantees. It will also broadly enable accelerated information discovery in emerging domains such as genomics, as well as economic benefits of early, well-informed decisions and reduced user payments.
Max ERC Funding
2 472 752 €
Duration
Start date: 2017-09-01, End date: 2022-08-31
Project acronym bioSPINspired
Project Bio-inspired Spin-Torque Computing Architectures
Researcher (PI) Julie Grollier
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Country France
Call Details Consolidator Grant (CoG), PE3, ERC-2015-CoG
Summary In the bioSPINspired project, I propose to use my experience and skills in spintronics, non-linear dynamics and neuromorphic nanodevices to realize bio-inspired spin torque computing architectures. I will develop a bottom-up approach to build spintronic data processing systems that perform low power ‘cognitive’ tasks on-chip and could ultimately complement our traditional microprocessors. I will start by showing that spin torque nanodevices, which are multi-functional and tunable nonlinear dynamical nano-components, are capable of emulating both neurons and synapses. Then I will assemble these spin-torque nano-synapses and nano-neurons into modules that implement brain-inspired algorithms in hardware. The brain displays many features typical of non-linear dynamical networks, such as synchronization or chaotic behaviour. These observations have inspired a whole class of models that harness the power of complex non-linear dynamical networks for computing. Following such schemes, I will interconnect the spin torque nanodevices by electrical and magnetic interactions so that they can couple to each other, synchronize and display complex dynamics. Then I will demonstrate that when perturbed by external inputs, these spin torque networks can perform recognition tasks by converging to an attractor state, or use the separation properties at the edge of chaos to classify data. In the process, I will revisit these brain-inspired abstract models to adapt them to the constraints of hardware implementations. Finally I will investigate how the spin torque modules can be efficiently connected together with CMOS buffers to perform higher level computing tasks. The table-top prototypes, hardware-adapted computing models and large-scale simulations developed in bioSPINspired will lay the foundations of spin torque bio-inspired computing and open the path to the fabrication of fully integrated, ultra-dense and efficient CMOS/spin-torque nanodevice chips.
Summary
In the bioSPINspired project, I propose to use my experience and skills in spintronics, non-linear dynamics and neuromorphic nanodevices to realize bio-inspired spin torque computing architectures. I will develop a bottom-up approach to build spintronic data processing systems that perform low power ‘cognitive’ tasks on-chip and could ultimately complement our traditional microprocessors. I will start by showing that spin torque nanodevices, which are multi-functional and tunable nonlinear dynamical nano-components, are capable of emulating both neurons and synapses. Then I will assemble these spin-torque nano-synapses and nano-neurons into modules that implement brain-inspired algorithms in hardware. The brain displays many features typical of non-linear dynamical networks, such as synchronization or chaotic behaviour. These observations have inspired a whole class of models that harness the power of complex non-linear dynamical networks for computing. Following such schemes, I will interconnect the spin torque nanodevices by electrical and magnetic interactions so that they can couple to each other, synchronize and display complex dynamics. Then I will demonstrate that when perturbed by external inputs, these spin torque networks can perform recognition tasks by converging to an attractor state, or use the separation properties at the edge of chaos to classify data. In the process, I will revisit these brain-inspired abstract models to adapt them to the constraints of hardware implementations. Finally I will investigate how the spin torque modules can be efficiently connected together with CMOS buffers to perform higher level computing tasks. The table-top prototypes, hardware-adapted computing models and large-scale simulations developed in bioSPINspired will lay the foundations of spin torque bio-inspired computing and open the path to the fabrication of fully integrated, ultra-dense and efficient CMOS/spin-torque nanodevice chips.
Max ERC Funding
1 907 767 €
Duration
Start date: 2016-09-01, End date: 2021-08-31
Project acronym BoneImplant
Project Monitoring bone healing around endosseous implants: from multiscale modeling to the patient’s bed
Researcher (PI) Guillaume LoIc Haiat
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Country France
Call Details Consolidator Grant (CoG), PE8, ERC-2015-CoG
Summary Implants are often employed in orthopaedic and dental surgeries. However, risks of failure, which are difficult to anticipate, are still experienced and may have dramatic consequences. Failures are due to degraded bone remodeling at the bone-implant interface, a multiscale phenomenon of an interdisciplinary nature which remains poorly understood. The objective of BoneImplant is to provide a better understanding of the multiscale and multitime mechanisms at work at the bone-implant interface. To do so, BoneImplant aims at studying the evolution of the biomechanical properties of bone tissue around an implant during the remodeling process. A methodology involving combined in vivo, in vitro and in silico approaches is proposed.
New modeling approaches will be developed in close synergy with the experiments. Molecular dynamic computations will be used to understand fluid flow in nanoscopic cavities, a phenomenon determining bone healing process. Generalized continuum theories will be necessary to model bone tissue due to the important strain field around implants. Isogeometric mortar formulation will allow to simulate the bone-implant interface in a stable and efficient manner.
In vivo experiments realized under standardized conditions will be realized on the basis of feasibility studies. A multimodality and multi-physical experimental approach will be carried out to assess the biomechanical properties of newly formed bone tissue as a function of the implant environment. The experimental approach aims at estimating the effective adhesion energy and the potentiality of quantitative ultrasound imaging to assess different biomechanical properties of the interface.
Results will be used to design effective loading clinical procedures of implants and to optimize implant conception, leading to the development of therapeutic and diagnostic techniques. The development of quantitative ultrasonic techniques to monitor implant stability has a potential for industrial transfer.
Summary
Implants are often employed in orthopaedic and dental surgeries. However, risks of failure, which are difficult to anticipate, are still experienced and may have dramatic consequences. Failures are due to degraded bone remodeling at the bone-implant interface, a multiscale phenomenon of an interdisciplinary nature which remains poorly understood. The objective of BoneImplant is to provide a better understanding of the multiscale and multitime mechanisms at work at the bone-implant interface. To do so, BoneImplant aims at studying the evolution of the biomechanical properties of bone tissue around an implant during the remodeling process. A methodology involving combined in vivo, in vitro and in silico approaches is proposed.
New modeling approaches will be developed in close synergy with the experiments. Molecular dynamic computations will be used to understand fluid flow in nanoscopic cavities, a phenomenon determining bone healing process. Generalized continuum theories will be necessary to model bone tissue due to the important strain field around implants. Isogeometric mortar formulation will allow to simulate the bone-implant interface in a stable and efficient manner.
In vivo experiments realized under standardized conditions will be realized on the basis of feasibility studies. A multimodality and multi-physical experimental approach will be carried out to assess the biomechanical properties of newly formed bone tissue as a function of the implant environment. The experimental approach aims at estimating the effective adhesion energy and the potentiality of quantitative ultrasound imaging to assess different biomechanical properties of the interface.
Results will be used to design effective loading clinical procedures of implants and to optimize implant conception, leading to the development of therapeutic and diagnostic techniques. The development of quantitative ultrasonic techniques to monitor implant stability has a potential for industrial transfer.
Max ERC Funding
1 992 154 €
Duration
Start date: 2016-10-01, End date: 2021-09-30
