Project acronym 3D Reloaded
Project 3D Reloaded: Novel Algorithms for 3D Shape Inference and Analysis
Researcher (PI) Daniel Cremers
Host Institution (HI) TECHNISCHE UNIVERSITAET MUENCHEN
Country Germany
Call Details Consolidator Grant (CoG), PE6, ERC-2014-CoG
Summary Despite their amazing success, we believe that computer vision algorithms have only scratched the surface of what can be done in terms of modeling and understanding our world from images. We believe that novel image analysis techniques will be a major enabler and driving force behind next-generation technologies, enhancing everyday life and opening up radically new possibilities. And we believe that the key to achieving this is to develop algorithms for reconstructing and analyzing the 3D structure of our world.
In this project, we will focus on three lines of research:
A) We will develop algorithms for 3D reconstruction from standard color cameras and from RGB-D cameras. In particular, we will promote real-time-capable direct and dense methods. In contrast to the classical two-stage approach of sparse feature-point based motion estimation and subsequent dense reconstruction, these methods optimally exploit all color information to jointly estimate dense geometry and camera motion.
B) We will develop algorithms for 3D shape analysis, including rigid and non-rigid matching, decomposition and interpretation of 3D shapes. We will focus on algorithms which are optimal or near-optimal. One of the major computational challenges lies in generalizing existing 2D shape analysis techniques to shapes in 3D and 4D (temporal evolutions of 3D shape).
C) We will develop shape priors for 3D reconstruction. These can be learned from sample shapes or acquired during the reconstruction process. For example, when reconstructing a larger office algorithms may exploit the geometric self-similarity of the scene, storing a model of a chair and its multiple instances only once rather than multiple times.
Advancing the state of the art in geometric reconstruction and geometric analysis will have a profound impact well beyond computer vision. We strongly believe that we have the necessary competence to pursue this project. Preliminary results have been well received by the community.
Summary
Despite their amazing success, we believe that computer vision algorithms have only scratched the surface of what can be done in terms of modeling and understanding our world from images. We believe that novel image analysis techniques will be a major enabler and driving force behind next-generation technologies, enhancing everyday life and opening up radically new possibilities. And we believe that the key to achieving this is to develop algorithms for reconstructing and analyzing the 3D structure of our world.
In this project, we will focus on three lines of research:
A) We will develop algorithms for 3D reconstruction from standard color cameras and from RGB-D cameras. In particular, we will promote real-time-capable direct and dense methods. In contrast to the classical two-stage approach of sparse feature-point based motion estimation and subsequent dense reconstruction, these methods optimally exploit all color information to jointly estimate dense geometry and camera motion.
B) We will develop algorithms for 3D shape analysis, including rigid and non-rigid matching, decomposition and interpretation of 3D shapes. We will focus on algorithms which are optimal or near-optimal. One of the major computational challenges lies in generalizing existing 2D shape analysis techniques to shapes in 3D and 4D (temporal evolutions of 3D shape).
C) We will develop shape priors for 3D reconstruction. These can be learned from sample shapes or acquired during the reconstruction process. For example, when reconstructing a larger office algorithms may exploit the geometric self-similarity of the scene, storing a model of a chair and its multiple instances only once rather than multiple times.
Advancing the state of the art in geometric reconstruction and geometric analysis will have a profound impact well beyond computer vision. We strongly believe that we have the necessary competence to pursue this project. Preliminary results have been well received by the community.
Max ERC Funding
2 000 000 €
Duration
Start date: 2015-09-01, End date: 2020-08-31
Project acronym 3D-VIEW
Project Seeing the invisible: Light-based 3D imaging of opaque nanostructures
Researcher (PI) Stefan WITTE
Host Institution (HI) STICHTING NEDERLANDSE WETENSCHAPPELIJK ONDERZOEK INSTITUTEN
Country Netherlands
Call Details Consolidator Grant (CoG), PE7, ERC-2019-COG
Summary Nanostructures drive the world around us. Every modern electronic device contains integrated circuits and nano-electronics to provide its functionality. Advances in nanotechnology directly impact society by enabling smartphones, autonomous devices, the internet of things, data storage, and essentially all forms of advanced technology. Fabricating such nanostructures crucially depends on having the tools to make them visible without destroying them. Modern nanodevices often have complex three-dimensional architectures with small features in all dimensions. While imaging methods that achieve nanometer-scale resolution exist, there are currently no compact tools that can look inside 3D nanostructures made out of metals and semiconductors without damaging their delicate internal structure. I will address this challenge by developing compact tools to image 3D nanostructures in a non-invasive way. Even though most nanostructures are completely opaque to visible light, I will develop light-based methods, combined with computational imaging techniques developed in my previous ERC project, to look inside them with unprecedented resolution and contrast. Light-based imaging is unparalleled in speed and versatility, and allows contact-free detection. My proposal is to: 1) Use compact laser-produced soft-X-ray sources to image nanostructures with high 3D resolution and element-sensitive contrast; 2) Use laser-induced ultrasound pulses to image complex 3D nanostructures, even through strongly absorbing materials; 3) Employ computational imaging methods to reconstruct high-resolution 3D object images from the resulting complex diffraction signals. I will forge a coordinated research program to bring these concepts to reality. This program provides exciting prospects for fundamental science and industrial metrology. I will go beyond the state-of-the-art in nano-imaging, to extend our vision into the complex interior of the smallest structures found in science and technology.
Summary
Nanostructures drive the world around us. Every modern electronic device contains integrated circuits and nano-electronics to provide its functionality. Advances in nanotechnology directly impact society by enabling smartphones, autonomous devices, the internet of things, data storage, and essentially all forms of advanced technology. Fabricating such nanostructures crucially depends on having the tools to make them visible without destroying them. Modern nanodevices often have complex three-dimensional architectures with small features in all dimensions. While imaging methods that achieve nanometer-scale resolution exist, there are currently no compact tools that can look inside 3D nanostructures made out of metals and semiconductors without damaging their delicate internal structure. I will address this challenge by developing compact tools to image 3D nanostructures in a non-invasive way. Even though most nanostructures are completely opaque to visible light, I will develop light-based methods, combined with computational imaging techniques developed in my previous ERC project, to look inside them with unprecedented resolution and contrast. Light-based imaging is unparalleled in speed and versatility, and allows contact-free detection. My proposal is to: 1) Use compact laser-produced soft-X-ray sources to image nanostructures with high 3D resolution and element-sensitive contrast; 2) Use laser-induced ultrasound pulses to image complex 3D nanostructures, even through strongly absorbing materials; 3) Employ computational imaging methods to reconstruct high-resolution 3D object images from the resulting complex diffraction signals. I will forge a coordinated research program to bring these concepts to reality. This program provides exciting prospects for fundamental science and industrial metrology. I will go beyond the state-of-the-art in nano-imaging, to extend our vision into the complex interior of the smallest structures found in science and technology.
Max ERC Funding
2 000 000 €
Duration
Start date: 2020-10-01, End date: 2025-09-30
Project acronym 4DRepLy
Project Closing the 4D Real World Reconstruction Loop
Researcher (PI) Christian THEOBALT
Host Institution (HI) MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Country Germany
Call Details Consolidator Grant (CoG), PE6, ERC-2017-COG
Summary 4D reconstruction, the camera-based dense dynamic scene reconstruction, is a grand challenge in computer graphics and computer vision. Despite great progress, 4D capturing the complex, diverse real world outside a studio is still far from feasible. 4DRepLy builds a new generation of high-fidelity 4D reconstruction (4DRecon) methods. They will be the first to efficiently capture all types of deformable objects (humans and other types) in crowded real world scenes with a single color or depth camera. They capture space-time coherent deforming geometry, motion, high-frequency reflectance and illumination at unprecedented detail, and will be the first to handle difficult occlusions, topology changes and large groups of interacting objects. They automatically adapt to new scene types, yet deliver models with meaningful, interpretable parameters. This requires far reaching contributions: First, we develop groundbreaking new plasticity-enhanced model-based 4D reconstruction methods that automatically adapt to new scenes. Second, we develop radically new machine learning-based dense 4D reconstruction methods. Third, these model- and learning-based methods are combined in two revolutionary new classes of 4DRecon methods: 1) advanced fusion-based methods and 2) methods with deep architectural integration. Both, 1) and 2), are automatically designed in the 4D Real World Reconstruction Loop, a revolutionary new design paradigm in which 4DRecon methods refine and adapt themselves while continuously processing unlabeled real world input. This overcomes the previously unbreakable scalability barrier to real world scene diversity, complexity and generality. This paradigm shift opens up a new research direction in graphics and vision and has far reaching relevance across many scientific fields. It enables new applications of profound social pervasion and significant economic impact, e.g., for visual media and virtual/augmented reality, and for future autonomous and robotic systems.
Summary
4D reconstruction, the camera-based dense dynamic scene reconstruction, is a grand challenge in computer graphics and computer vision. Despite great progress, 4D capturing the complex, diverse real world outside a studio is still far from feasible. 4DRepLy builds a new generation of high-fidelity 4D reconstruction (4DRecon) methods. They will be the first to efficiently capture all types of deformable objects (humans and other types) in crowded real world scenes with a single color or depth camera. They capture space-time coherent deforming geometry, motion, high-frequency reflectance and illumination at unprecedented detail, and will be the first to handle difficult occlusions, topology changes and large groups of interacting objects. They automatically adapt to new scene types, yet deliver models with meaningful, interpretable parameters. This requires far reaching contributions: First, we develop groundbreaking new plasticity-enhanced model-based 4D reconstruction methods that automatically adapt to new scenes. Second, we develop radically new machine learning-based dense 4D reconstruction methods. Third, these model- and learning-based methods are combined in two revolutionary new classes of 4DRecon methods: 1) advanced fusion-based methods and 2) methods with deep architectural integration. Both, 1) and 2), are automatically designed in the 4D Real World Reconstruction Loop, a revolutionary new design paradigm in which 4DRecon methods refine and adapt themselves while continuously processing unlabeled real world input. This overcomes the previously unbreakable scalability barrier to real world scene diversity, complexity and generality. This paradigm shift opens up a new research direction in graphics and vision and has far reaching relevance across many scientific fields. It enables new applications of profound social pervasion and significant economic impact, e.g., for visual media and virtual/augmented reality, and for future autonomous and robotic systems.
Max ERC Funding
1 977 000 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym Acclimatize
Project Hypothalamic mechanisms of thermal homeostasis and adaptation
Researcher (PI) Jan SIEMENS
Host Institution (HI) UNIVERSITATSKLINIKUM HEIDELBERG
Country Germany
Call Details Consolidator Grant (CoG), LS5, ERC-2017-COG
Summary Mammalian organisms possess the remarkable ability to maintain internal body temperature (Tcore) within a narrow range close to 37°C despite wide environmental temperature variations. The brain’s neural “thermostat” is made up by central circuits in the hypothalamic preoptic area (POA), which orchestrate peripheral thermoregulatory responses to maintain Tcore. Thermogenesis requires metabolic fuel, suggesting intricate connections between the thermoregulatory centre and hypothalamic circuits controlling energy balance. How the POA detects and integrates temperature and metabolic information to achieve thermal balance is largely unknown. A major question is whether this circuitry could be harnessed therapeutically to treat obesity.
We have recently identified the first known molecular temperature sensor in thermoregulatory neurons of the POA, transient receptor potential melastatin 2 (TRPM2), a thermo-sensitive ion channel. I aim to use TRPM2 as a molecular marker to gain access to and probe the function of thermoregulatory neurons in vivo. I propose a multidisciplinary approach, combining local, in vivo POA temperature stimulation with optogenetic circuit-mapping to uncover the molecular and cellular logic of the hypothalamic thermoregulatory centre and to assess its medical potential to counteract metabolic syndrome.
Acclimation is a beneficial adaptive process that fortifies thermal responses upon environmental temperature challenges. Thermoregulatory neuron plasticity is thought to mediate acclimation. Conversely, maladaptive thermoregulatory changes affect obesity. The cell-type-specific neuronal plasticity mechanisms underlying these changes within the POA, however, are unknown.
Using ex-vivo slice electrophysiology and in vivo imaging, I propose to characterize acclimation- and obesity-induced plasticity of thermoregulatory neurons. Ultimately, I aim to manipulate thermoregulatory neuron plasticity to test its potential counter-balancing effect on obesity.
Summary
Mammalian organisms possess the remarkable ability to maintain internal body temperature (Tcore) within a narrow range close to 37°C despite wide environmental temperature variations. The brain’s neural “thermostat” is made up by central circuits in the hypothalamic preoptic area (POA), which orchestrate peripheral thermoregulatory responses to maintain Tcore. Thermogenesis requires metabolic fuel, suggesting intricate connections between the thermoregulatory centre and hypothalamic circuits controlling energy balance. How the POA detects and integrates temperature and metabolic information to achieve thermal balance is largely unknown. A major question is whether this circuitry could be harnessed therapeutically to treat obesity.
We have recently identified the first known molecular temperature sensor in thermoregulatory neurons of the POA, transient receptor potential melastatin 2 (TRPM2), a thermo-sensitive ion channel. I aim to use TRPM2 as a molecular marker to gain access to and probe the function of thermoregulatory neurons in vivo. I propose a multidisciplinary approach, combining local, in vivo POA temperature stimulation with optogenetic circuit-mapping to uncover the molecular and cellular logic of the hypothalamic thermoregulatory centre and to assess its medical potential to counteract metabolic syndrome.
Acclimation is a beneficial adaptive process that fortifies thermal responses upon environmental temperature challenges. Thermoregulatory neuron plasticity is thought to mediate acclimation. Conversely, maladaptive thermoregulatory changes affect obesity. The cell-type-specific neuronal plasticity mechanisms underlying these changes within the POA, however, are unknown.
Using ex-vivo slice electrophysiology and in vivo imaging, I propose to characterize acclimation- and obesity-induced plasticity of thermoregulatory neurons. Ultimately, I aim to manipulate thermoregulatory neuron plasticity to test its potential counter-balancing effect on obesity.
Max ERC Funding
1 902 500 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym ACoolTouch
Project Neural mechanisms of multisensory perceptual binding
Researcher (PI) James Francis Alexander Poulet
Host Institution (HI) MAX DELBRUECK CENTRUM FUER MOLEKULARE MEDIZIN IN DER HELMHOLTZ-GEMEINSCHAFT (MDC)
Country Germany
Call Details Consolidator Grant (CoG), LS5, ERC-2015-CoG
Summary Sensory perception involves the discrimination and binding of multiple modalities of sensory input. This is especially evident in the somatosensory system where different modalities of sensory input, including thermal and mechanosensory, are combined to generate a unified percept. The neural mechanisms of multisensory binding are unknown, in part because sensory perception is typically studied within a single modality in a single brain region. I propose a multi-level approach to investigate thermo-tactile processing in the mouse forepaw system from the primary sensory afferent neurons to thalamo-cortical circuits and behaviour.
The mouse forepaw system is the ideal system to investigate multisensory binding as the sensory afferent neurons are well investigated, cell type-specific lines are available, in vivo optogenetic manipulation is possible both in sensory afferent neurons and central circuits and we have developed high-resolution somatosensory perception behaviours. We have previously shown that mouse primary somatosensory forepaw cortical neurons respond to both tactile and thermal stimuli and are required for non-noxious cooling perception. With multimodal neurons how, then, is it possible to both discriminate and bind thermal and tactile stimuli?
I propose 3 objectives to address this question. We will first, perform functional mapping of the thermal and tactile pathways to cortex; second, investigate the neural mechanisms of thermo-tactile discrimination in behaving mice; and third, compare neural processing during two thermo-tactile binding tasks, the first using passively applied stimuli, and the second, active manipulation of thermal objects.
At each stage we will perform cell type-specific neural recordings and causal optogenetic manipulations in awake and behaving mice. Our multi-level approach will provide a comprehensive investigation into how the brain performs multisensory perceptual binding: a fundamental yet unsolved problem in neuroscience.
Summary
Sensory perception involves the discrimination and binding of multiple modalities of sensory input. This is especially evident in the somatosensory system where different modalities of sensory input, including thermal and mechanosensory, are combined to generate a unified percept. The neural mechanisms of multisensory binding are unknown, in part because sensory perception is typically studied within a single modality in a single brain region. I propose a multi-level approach to investigate thermo-tactile processing in the mouse forepaw system from the primary sensory afferent neurons to thalamo-cortical circuits and behaviour.
The mouse forepaw system is the ideal system to investigate multisensory binding as the sensory afferent neurons are well investigated, cell type-specific lines are available, in vivo optogenetic manipulation is possible both in sensory afferent neurons and central circuits and we have developed high-resolution somatosensory perception behaviours. We have previously shown that mouse primary somatosensory forepaw cortical neurons respond to both tactile and thermal stimuli and are required for non-noxious cooling perception. With multimodal neurons how, then, is it possible to both discriminate and bind thermal and tactile stimuli?
I propose 3 objectives to address this question. We will first, perform functional mapping of the thermal and tactile pathways to cortex; second, investigate the neural mechanisms of thermo-tactile discrimination in behaving mice; and third, compare neural processing during two thermo-tactile binding tasks, the first using passively applied stimuli, and the second, active manipulation of thermal objects.
At each stage we will perform cell type-specific neural recordings and causal optogenetic manipulations in awake and behaving mice. Our multi-level approach will provide a comprehensive investigation into how the brain performs multisensory perceptual binding: a fundamental yet unsolved problem in neuroscience.
Max ERC Funding
1 999 877 €
Duration
Start date: 2016-09-01, End date: 2021-08-31
Project acronym ADAPT
Project Autoxidation of Anthropogenic Volatile Organic Compounds (AVOC) as a Source of Urban Air Pollution
Researcher (PI) Matti Rissanen
Host Institution (HI) TAMPEREEN KORKEAKOULUSAATIO SR
Country Finland
Call Details Consolidator Grant (CoG), PE10, ERC-2020-COG
Summary Previous efforts to raise living standards have been based on relentlessly increasing combustion, causing environmental destruction at all scales. In addition to climate-warming CO2, fossil fuel combustion also produces a large number of organic compounds and particulate matter, which deteriorate air quality.
The atmosphere is cleansed from such pollutants by gas-phase oxidation reactions, which are invariably mediated by peroxy radicals (RO2). Oxidation transforms initially volatile and water-insoluble hydrocarbons into water-soluble forms (ultimately CO2), enabling scavenging by liquid droplets. A minor but crucially important alternative oxidation pathway leads to oxidative molecular growth, and formation of atmospheric aerosols. Aerosols impart a huge influence on the atmosphere, from local air quality issues to global climate forcing, yet their formation mechanisms and structures of organic aerosol precursors remains elusive.
In a paradigm change, RO2 was recently found to undergo autoxidation, enabling rapid aerosol precursor formation even at sub-second time-scales – in stark contrast to the long processing times (days - weeks) previously assumed to be necessary. We have shown how abundant biogenic hydrocarbons (BVOC) autoxidize, but due to key structural differences, the same pathways are not available for anthropogenic hydrocarbons (AVOC), and thus they were not expected to autoxidize. My preliminary experiments reveal that AVOCs do autoxidize, but the mechanism enabling this remain unknown. Crucially, the co-reactants shown to inhibit BVOC seem to enforce AVOC autoxidation – potentially explaining the recent mysterious discovery of new-particle formation in polluted megacities. In ADAPT, I will use a combination of novel mass spectrometric detection methods fortified by theoretical calculations, to solve the mechanism of AVOC autoxidation. This will directly assist both air quality management, and the design of cleaner fuels and engines.
Summary
Previous efforts to raise living standards have been based on relentlessly increasing combustion, causing environmental destruction at all scales. In addition to climate-warming CO2, fossil fuel combustion also produces a large number of organic compounds and particulate matter, which deteriorate air quality.
The atmosphere is cleansed from such pollutants by gas-phase oxidation reactions, which are invariably mediated by peroxy radicals (RO2). Oxidation transforms initially volatile and water-insoluble hydrocarbons into water-soluble forms (ultimately CO2), enabling scavenging by liquid droplets. A minor but crucially important alternative oxidation pathway leads to oxidative molecular growth, and formation of atmospheric aerosols. Aerosols impart a huge influence on the atmosphere, from local air quality issues to global climate forcing, yet their formation mechanisms and structures of organic aerosol precursors remains elusive.
In a paradigm change, RO2 was recently found to undergo autoxidation, enabling rapid aerosol precursor formation even at sub-second time-scales – in stark contrast to the long processing times (days - weeks) previously assumed to be necessary. We have shown how abundant biogenic hydrocarbons (BVOC) autoxidize, but due to key structural differences, the same pathways are not available for anthropogenic hydrocarbons (AVOC), and thus they were not expected to autoxidize. My preliminary experiments reveal that AVOCs do autoxidize, but the mechanism enabling this remain unknown. Crucially, the co-reactants shown to inhibit BVOC seem to enforce AVOC autoxidation – potentially explaining the recent mysterious discovery of new-particle formation in polluted megacities. In ADAPT, I will use a combination of novel mass spectrometric detection methods fortified by theoretical calculations, to solve the mechanism of AVOC autoxidation. This will directly assist both air quality management, and the design of cleaner fuels and engines.
Max ERC Funding
2 689 147 €
Duration
Start date: 2021-02-01, End date: 2026-01-31
Project acronym AdLibYeast
Project Synthetic platforms for ad libitum remodelling of yeast central metabolism
Researcher (PI) Pascale Andree Simone Lapujade Daran
Host Institution (HI) TECHNISCHE UNIVERSITEIT DELFT
Country Netherlands
Call Details Consolidator Grant (CoG), LS9, ERC-2014-CoG
Summary Replacement of petrochemistry by bio-based processes is key to sustainable development and requires microbes equipped with novel-to-nature capabilities. The efficiency of such engineered microbes strongly depends on their native metabolic networks. However, aeons of evolution have optimized these networks for fitness in nature rather than for industrial performance. As a result, central metabolic networks are complex and encoded by mosaic microbial genomes in which genes, irrespective of their function, are scattered over the genome and chromosomes. This absence of a modular organization tremendously restricts genetic accessibility and presents a major hurdle for fundamental understanding and rational engineering of central metabolism. To conquer this limitation, I introduce the concept of ‘pathway swapping’, which will enable experimenters to remodel the core machinery of microbes at will.
Using the yeast Saccharomyces cerevisiae, an industrial biotechnology work horse and model eukaryotic cell, I propose to design and construct a microbial chassis in which all genes encoding enzymes in central carbon metabolism are relocated to a specialized synthetic chromosome, from which they can be easily swapped by any – homologous or heterologous – synthetic pathway. This challenging and innovative project paves the way for a modular approach to engineering of central metabolism.
Beyond providing a ground-breaking enabling technology, the ultimate goal of the pathway swapping technology is to address hitherto unanswered fundamental questions. Access to a sheer endless variety of configurations of central metabolism offers unique, new possibilities to study the fundamental design of metabolic pathways, the constraints that have shaped them and unifying principles for their structure and regulation. Moreover, this technology enables fast, combinatorial optimization studies on central metabolism to optimize its performance in biotechnological purposes.
Summary
Replacement of petrochemistry by bio-based processes is key to sustainable development and requires microbes equipped with novel-to-nature capabilities. The efficiency of such engineered microbes strongly depends on their native metabolic networks. However, aeons of evolution have optimized these networks for fitness in nature rather than for industrial performance. As a result, central metabolic networks are complex and encoded by mosaic microbial genomes in which genes, irrespective of their function, are scattered over the genome and chromosomes. This absence of a modular organization tremendously restricts genetic accessibility and presents a major hurdle for fundamental understanding and rational engineering of central metabolism. To conquer this limitation, I introduce the concept of ‘pathway swapping’, which will enable experimenters to remodel the core machinery of microbes at will.
Using the yeast Saccharomyces cerevisiae, an industrial biotechnology work horse and model eukaryotic cell, I propose to design and construct a microbial chassis in which all genes encoding enzymes in central carbon metabolism are relocated to a specialized synthetic chromosome, from which they can be easily swapped by any – homologous or heterologous – synthetic pathway. This challenging and innovative project paves the way for a modular approach to engineering of central metabolism.
Beyond providing a ground-breaking enabling technology, the ultimate goal of the pathway swapping technology is to address hitherto unanswered fundamental questions. Access to a sheer endless variety of configurations of central metabolism offers unique, new possibilities to study the fundamental design of metabolic pathways, the constraints that have shaped them and unifying principles for their structure and regulation. Moreover, this technology enables fast, combinatorial optimization studies on central metabolism to optimize its performance in biotechnological purposes.
Max ERC Funding
2 149 718 €
Duration
Start date: 2015-09-01, End date: 2020-08-31
Project acronym AEDMOS
Project Attosecond Electron Dynamics in MOlecular Systems
Researcher (PI) Reinhard Kienberger
Host Institution (HI) TECHNISCHE UNIVERSITAET MUENCHEN
Country Germany
Call Details Consolidator Grant (CoG), PE2, ERC-2014-CoG
Summary Advanced insight into ever smaller structures of matter and their ever faster dynamics hold promise for pushing the frontiers of many fields in science and technology. Time-domain investigations of ultrafast microscopic processes are most successfully carried out by pump/probe experiments. Intense waveform-controlled few-cycle near-infrared laser pulses combined with isolated sub-femtosecond XUV (extreme UV) pulses have made possible direct access to electron motion on the atomic scale. These tools along with the techniques of laser-field-controlled XUV photoemission (“attosecond streaking”) and ultrafast UV-pump/XUV-probe spectroscopy have permitted real-time observation of electronic motion in experiments performed on atoms in the gas phase and of electronic transport processes in solids.
The purpose of this project is to to get insight into intra- and inter-molecular electron dynamics by extending attosecond spectroscopy to these processes. AEDMOS will allow control and real-time observation of a wide range of hyperfast fundamental processes directly on their natural, i.e. attosecond (1 as = EXP-18 s) time scale in molecules and molecular structures. In previous work we have successfully developed attosecond tools and techniques. By combining them with our experience in UHV technology and target preparation in a new beamline to be created in the framework of this project, we aim at investigating charge migration and transport in supramolecular assemblies, ultrafast electron dynamics in photocatalysis and dynamics of electron correlation in high-TC superconductors. These dynamics – of electronic excitation, exciton formation, relaxation, electron correlation and wave packet motion – are of broad scientific interest reaching from biomedicine to chemistry and physics and are pertinent to the development of many modern technologies including molecular electronics, optoelectronics, photovoltaics, light-to-chemical energy conversion and lossless energy transfer.
Summary
Advanced insight into ever smaller structures of matter and their ever faster dynamics hold promise for pushing the frontiers of many fields in science and technology. Time-domain investigations of ultrafast microscopic processes are most successfully carried out by pump/probe experiments. Intense waveform-controlled few-cycle near-infrared laser pulses combined with isolated sub-femtosecond XUV (extreme UV) pulses have made possible direct access to electron motion on the atomic scale. These tools along with the techniques of laser-field-controlled XUV photoemission (“attosecond streaking”) and ultrafast UV-pump/XUV-probe spectroscopy have permitted real-time observation of electronic motion in experiments performed on atoms in the gas phase and of electronic transport processes in solids.
The purpose of this project is to to get insight into intra- and inter-molecular electron dynamics by extending attosecond spectroscopy to these processes. AEDMOS will allow control and real-time observation of a wide range of hyperfast fundamental processes directly on their natural, i.e. attosecond (1 as = EXP-18 s) time scale in molecules and molecular structures. In previous work we have successfully developed attosecond tools and techniques. By combining them with our experience in UHV technology and target preparation in a new beamline to be created in the framework of this project, we aim at investigating charge migration and transport in supramolecular assemblies, ultrafast electron dynamics in photocatalysis and dynamics of electron correlation in high-TC superconductors. These dynamics – of electronic excitation, exciton formation, relaxation, electron correlation and wave packet motion – are of broad scientific interest reaching from biomedicine to chemistry and physics and are pertinent to the development of many modern technologies including molecular electronics, optoelectronics, photovoltaics, light-to-chemical energy conversion and lossless energy transfer.
Max ERC Funding
1 999 375 €
Duration
Start date: 2015-05-01, End date: 2020-04-30
Project acronym AEONS
Project Advancing the Equation of state of Neutron Stars
Researcher (PI) Anna WATTS
Host Institution (HI) UNIVERSITEIT VAN AMSTERDAM
Country Netherlands
Call Details Consolidator Grant (CoG), PE9, ERC-2019-COG
Summary Densities in neutron star (NS) cores can reach up to ten times the density of a normal atomic nucleus, and the stabilising effect of gravitational confinement permits long-timescale weak interactions. This generates nucleonic matter that is extremely neutron-rich, and the exciting possibility of stable states of strange matter (hyperons or deconfined quarks). Our uncertainty about the nature of cold ultradense matter is encoded in the Equation of State (EOS), which can be mapped via the stellar structure equations to quantities like mass M and radius R that determine the exterior space-time.
One very promising technique for measuring the EOS exploits hotspots that form on the NS surface due to the pulsar mechanism, accretion streams, or during thermonuclear explosions in the stellar ocean. As the NS rotates, the hotspot gives rise to a pulsation and relativistic effects encode information about the EOS into the pulse profile. Pulse Profile Modelling (PPM), which employs relativistic ray-tracing and Bayesian inference codes to measure M-R and the EOS, is being pioneered by NASA’s NICER telescope, which is poised to deliver its first results in 2019.
Complexities, that have only become apparent with exposure to real data, mean that there is work to be done if we are to have confidence in the nominal 5-10% accuracy of NICER’s M-R results. AEONS will deliver this. The project will also look ahead to the next generation of large-area X-ray timing telescopes, since it is only then that PPM will place tight constraints on dense matter models. The sources these missions target, accreting neutron stars, pose challenges for PPM such as variability, surface pattern uncertainty, and polarimetric signatures. AEONS will develop a robust pipeline for accreting NS PPM and embed it in a multi-messenger EOS inference framework with radio and gravitational wave constraints. This will ensure that PPM delivers major advances in our understanding of the nature of matter.
Summary
Densities in neutron star (NS) cores can reach up to ten times the density of a normal atomic nucleus, and the stabilising effect of gravitational confinement permits long-timescale weak interactions. This generates nucleonic matter that is extremely neutron-rich, and the exciting possibility of stable states of strange matter (hyperons or deconfined quarks). Our uncertainty about the nature of cold ultradense matter is encoded in the Equation of State (EOS), which can be mapped via the stellar structure equations to quantities like mass M and radius R that determine the exterior space-time.
One very promising technique for measuring the EOS exploits hotspots that form on the NS surface due to the pulsar mechanism, accretion streams, or during thermonuclear explosions in the stellar ocean. As the NS rotates, the hotspot gives rise to a pulsation and relativistic effects encode information about the EOS into the pulse profile. Pulse Profile Modelling (PPM), which employs relativistic ray-tracing and Bayesian inference codes to measure M-R and the EOS, is being pioneered by NASA’s NICER telescope, which is poised to deliver its first results in 2019.
Complexities, that have only become apparent with exposure to real data, mean that there is work to be done if we are to have confidence in the nominal 5-10% accuracy of NICER’s M-R results. AEONS will deliver this. The project will also look ahead to the next generation of large-area X-ray timing telescopes, since it is only then that PPM will place tight constraints on dense matter models. The sources these missions target, accreting neutron stars, pose challenges for PPM such as variability, surface pattern uncertainty, and polarimetric signatures. AEONS will develop a robust pipeline for accreting NS PPM and embed it in a multi-messenger EOS inference framework with radio and gravitational wave constraints. This will ensure that PPM delivers major advances in our understanding of the nature of matter.
Max ERC Funding
2 425 000 €
Duration
Start date: 2020-06-01, End date: 2025-05-31
Project acronym AISLES
Project Archipelagic Imperatives: Shipwreck and Lifesaving in European Societies since 1800
Researcher (PI) Henning TRuePER
Host Institution (HI) GEISTESWISSENSCHAFTLICHE ZENTREN BERLIN EV
Country Germany
Call Details Consolidator Grant (CoG), SH6, ERC-2019-COG
Summary Why does humanitarianism take the form of an archipelago, an aggregation of “single issues,” selective, resistant to generalization, and even at times inconsistent? In order to answer this question, which is crucial to, but has been sidelined in histories of humanitarianism, the project develops a novel approach. This approach homes in on the rupture of humanitarian morality with quotidian moral norms and values.
For this purpose, the project investigates the history of a particular moral norm, the imperative of saving lives from shipwreck, that emerged in the ambit of volunteer lifeboat movements from the 1820s onward. Such movements had emerged first in Britain and the Netherlands, then elsewhere, most prominently France and Germany. The imperative in question took the form of a novel unconditional norm that demanded taking counterintuitive risks in order to save lives. Previously, assistance to the shipwrecked had been situational. Moral detachment from suffering had been recognized as a value. Existential risk had constituted an exemption from lifesaving duty. Lifeboat movements overturned this quotidian moral rationale. This shift was neither determined by economic incentives nor by technological or legal innovation. The saving of lives from shipwreck thus provides an ideal laboratory, with a rich and varied source base, for understanding humanitarian-moral innovation on its own terms.
The intervention of the project is twofold. On the plane of historical knowledge, it provides a model for the deep contextual analysis of moral culture in terms of the emergence, sustenance, representation, and insular distinctness of humanitarian imperatives. On the plane of theoretical knowledge, the project develops innovative answers to questions of moral theory, especially about the generality of norms and the conflicted relation of humanitarianism and everyday morality. The project develops novel methodological tools for combining moral theorizing and historical research.
Summary
Why does humanitarianism take the form of an archipelago, an aggregation of “single issues,” selective, resistant to generalization, and even at times inconsistent? In order to answer this question, which is crucial to, but has been sidelined in histories of humanitarianism, the project develops a novel approach. This approach homes in on the rupture of humanitarian morality with quotidian moral norms and values.
For this purpose, the project investigates the history of a particular moral norm, the imperative of saving lives from shipwreck, that emerged in the ambit of volunteer lifeboat movements from the 1820s onward. Such movements had emerged first in Britain and the Netherlands, then elsewhere, most prominently France and Germany. The imperative in question took the form of a novel unconditional norm that demanded taking counterintuitive risks in order to save lives. Previously, assistance to the shipwrecked had been situational. Moral detachment from suffering had been recognized as a value. Existential risk had constituted an exemption from lifesaving duty. Lifeboat movements overturned this quotidian moral rationale. This shift was neither determined by economic incentives nor by technological or legal innovation. The saving of lives from shipwreck thus provides an ideal laboratory, with a rich and varied source base, for understanding humanitarian-moral innovation on its own terms.
The intervention of the project is twofold. On the plane of historical knowledge, it provides a model for the deep contextual analysis of moral culture in terms of the emergence, sustenance, representation, and insular distinctness of humanitarian imperatives. On the plane of theoretical knowledge, the project develops innovative answers to questions of moral theory, especially about the generality of norms and the conflicted relation of humanitarianism and everyday morality. The project develops novel methodological tools for combining moral theorizing and historical research.
Max ERC Funding
1 912 016 €
Duration
Start date: 2020-05-01, End date: 2025-04-30
