Project acronym 19TH-CENTURY_EUCLID
Project Nineteenth-Century Euclid: Geometry and the Literary Imagination from Wordsworth to Wells
Researcher (PI) Alice Jenkins
Host Institution (HI) UNIVERSITY OF GLASGOW
Call Details Starting Grant (StG), SH4, ERC-2007-StG
Summary This radically interdisciplinary project aims to bring a substantially new field of research – literature and mathematics studies – to prominence as a tool for investigating the culture of nineteenth-century Britain. It will result in three kinds of outcome: a monograph, two interdisciplinary and international colloquia, and a collection of essays. The project focuses on Euclidean geometry as a key element of nineteenth-century literary and scientific culture, showing that it was part of the shared knowledge flowing through elite and popular Romantic and Victorian writing, and figuring notably in the work of very many of the century’s best-known writers. Despite its traditional cultural prestige and educational centrality, geometry has been almost wholly neglected by literary history. This project shows how literature and mathematics studies can draw a new map of nineteenth-century British culture, revitalising our understanding of the Romantic and Victorian imagination through its writing about geometry.
Summary
This radically interdisciplinary project aims to bring a substantially new field of research – literature and mathematics studies – to prominence as a tool for investigating the culture of nineteenth-century Britain. It will result in three kinds of outcome: a monograph, two interdisciplinary and international colloquia, and a collection of essays. The project focuses on Euclidean geometry as a key element of nineteenth-century literary and scientific culture, showing that it was part of the shared knowledge flowing through elite and popular Romantic and Victorian writing, and figuring notably in the work of very many of the century’s best-known writers. Despite its traditional cultural prestige and educational centrality, geometry has been almost wholly neglected by literary history. This project shows how literature and mathematics studies can draw a new map of nineteenth-century British culture, revitalising our understanding of the Romantic and Victorian imagination through its writing about geometry.
Max ERC Funding
323 118 €
Duration
Start date: 2009-01-01, End date: 2011-10-31
Project acronym 3D-FM
Project Taking Force Microscopy into the Third Dimension
Researcher (PI) Tjerk Hendrik Oosterkamp
Host Institution (HI) UNIVERSITEIT LEIDEN
Call Details Starting Grant (StG), PE3, ERC-2007-StG
Summary I propose to pursue two emerging Force Microscopy techniques that allow measuring structural properties below the surface of the specimen. Whereas Force Microscopy (most commonly known under the name AFM) is usually limited to measuring the surface topography and surface properties of a specimen, I will demonstrate that Force Microscopy can achieve true 3D images of the structure of the cell nucleus. In Ultrasound Force Microscopy, an ultrasound wave is launched from below towards the surface of the specimen. After the sound waves interact with structures beneath the surface of the specimen, the local variations in the amplitude and phase shift of the ultrasonic surface motion is collected by the Force Microscopy tip. Previously, measured 2D maps of the surface response have shown that the surface response is sensitive to structures below the surface. In this project I will employ miniature AFM cantilevers and nanotube tips that I have already developed in my lab. This will allow me to quickly acquire many such 2D maps at a much wider range of ultrasound frequencies and from these 2D maps calculate the full 3D structure below the surface. I expect this technique to have a resolving power better than 10 nm in three dimensions as far as 2 microns below the surface. In parallel I will introduce a major improvement to a technique based on Nuclear Magnetic Resonance (NMR). Magnetic Resonance Force Microscopy measures the interaction of a rotating nuclear spin in the field gradient of a magnetic Force Microscopy tip. However, these forces are so small that they pose an enormous challenge. Miniature cantilevers and nanotube tips, in combination with additional innovations in the detection of the cantilever motion, can overcome this problem. I expect to be able to measure the combined signal of 100 proton spins or fewer, which will allow me to measure proton densities with a resolution of 5 nm, but possibly even with atomic resolution.
Summary
I propose to pursue two emerging Force Microscopy techniques that allow measuring structural properties below the surface of the specimen. Whereas Force Microscopy (most commonly known under the name AFM) is usually limited to measuring the surface topography and surface properties of a specimen, I will demonstrate that Force Microscopy can achieve true 3D images of the structure of the cell nucleus. In Ultrasound Force Microscopy, an ultrasound wave is launched from below towards the surface of the specimen. After the sound waves interact with structures beneath the surface of the specimen, the local variations in the amplitude and phase shift of the ultrasonic surface motion is collected by the Force Microscopy tip. Previously, measured 2D maps of the surface response have shown that the surface response is sensitive to structures below the surface. In this project I will employ miniature AFM cantilevers and nanotube tips that I have already developed in my lab. This will allow me to quickly acquire many such 2D maps at a much wider range of ultrasound frequencies and from these 2D maps calculate the full 3D structure below the surface. I expect this technique to have a resolving power better than 10 nm in three dimensions as far as 2 microns below the surface. In parallel I will introduce a major improvement to a technique based on Nuclear Magnetic Resonance (NMR). Magnetic Resonance Force Microscopy measures the interaction of a rotating nuclear spin in the field gradient of a magnetic Force Microscopy tip. However, these forces are so small that they pose an enormous challenge. Miniature cantilevers and nanotube tips, in combination with additional innovations in the detection of the cantilever motion, can overcome this problem. I expect to be able to measure the combined signal of 100 proton spins or fewer, which will allow me to measure proton densities with a resolution of 5 nm, but possibly even with atomic resolution.
Max ERC Funding
1 794 960 €
Duration
Start date: 2008-08-01, End date: 2013-07-31
Project acronym 4C
Project 4C technology: uncovering the multi-dimensional structure of the genome
Researcher (PI) Wouter Leonard De Laat
Host Institution (HI) KONINKLIJKE NEDERLANDSE AKADEMIE VAN WETENSCHAPPEN - KNAW
Call Details Starting Grant (StG), LS2, ERC-2007-StG
Summary The architecture of DNA in the cell nucleus is an emerging epigenetic key contributor to genome function. We recently developed 4C technology, a high-throughput technique that combines state-of-the-art 3C technology with tailored micro-arrays to uniquely allow for an unbiased genome-wide search for DNA loci that interact in the nuclear space. Based on 4C technology, we were the first to provide a comprehensive overview of long-range DNA contacts of selected loci. The data showed that active and inactive chromatin domains contact many distinct regions within and between chromosomes and genes switch long-range DNA contacts in relation to their expression status. 4C technology not only allows investigating the three-dimensional structure of DNA in the nucleus, it also accurately reconstructs at least 10 megabases of the one-dimensional chromosome sequence map around the target sequence. Changes in this physical map as a result of genomic rearrangements are therefore identified by 4C technology. We recently demonstrated that 4C detects deletions, balanced inversions and translocations in patient samples at a resolution (~7kb) that allowed immediate sequencing of the breakpoints. Excitingly, 4C technology therefore offers the first high-resolution genomic approach that can identify both balanced and unbalanced genomic rearrangements. 4C is expected to become an important tool in clinical diagnosis and prognosis. Key objectives of this proposal are: 1. Explore the functional significance of DNA folding in the nucleus by systematically applying 4C technology to differentially expressed gene loci. 2. Adapt 4C technology such that it allows for massive parallel analysis of DNA interactions between regulatory elements and gene promoters. This method would greatly facilitate the identification of functionally relevant DNA elements in the genome. 3. Develop 4C technology into a clinical diagnostic tool for the accurate detection of balanced and unbalanced rearrangements.
Summary
The architecture of DNA in the cell nucleus is an emerging epigenetic key contributor to genome function. We recently developed 4C technology, a high-throughput technique that combines state-of-the-art 3C technology with tailored micro-arrays to uniquely allow for an unbiased genome-wide search for DNA loci that interact in the nuclear space. Based on 4C technology, we were the first to provide a comprehensive overview of long-range DNA contacts of selected loci. The data showed that active and inactive chromatin domains contact many distinct regions within and between chromosomes and genes switch long-range DNA contacts in relation to their expression status. 4C technology not only allows investigating the three-dimensional structure of DNA in the nucleus, it also accurately reconstructs at least 10 megabases of the one-dimensional chromosome sequence map around the target sequence. Changes in this physical map as a result of genomic rearrangements are therefore identified by 4C technology. We recently demonstrated that 4C detects deletions, balanced inversions and translocations in patient samples at a resolution (~7kb) that allowed immediate sequencing of the breakpoints. Excitingly, 4C technology therefore offers the first high-resolution genomic approach that can identify both balanced and unbalanced genomic rearrangements. 4C is expected to become an important tool in clinical diagnosis and prognosis. Key objectives of this proposal are: 1. Explore the functional significance of DNA folding in the nucleus by systematically applying 4C technology to differentially expressed gene loci. 2. Adapt 4C technology such that it allows for massive parallel analysis of DNA interactions between regulatory elements and gene promoters. This method would greatly facilitate the identification of functionally relevant DNA elements in the genome. 3. Develop 4C technology into a clinical diagnostic tool for the accurate detection of balanced and unbalanced rearrangements.
Max ERC Funding
1 225 000 €
Duration
Start date: 2008-09-01, End date: 2013-08-31
Project acronym AAMDDR
Project DNA damage response and genome stability: The role of ATM, ATR and the Mre11 complex
Researcher (PI) Vincenzo Costanzo
Host Institution (HI) CANCER RESEARCH UK LBG
Call Details Starting Grant (StG), LS1, ERC-2007-StG
Summary Chromosomal DNA is continuously subjected to exogenous and endogenous damaging insults. In the presence of DNA damage cells activate a multi-faceted checkpoint response that delays cell cycle progression and promotes DNA repair. Failures in this response lead to genomic instability, the main feature of cancer cells. Several cancer-prone human syndromes including the Ataxia teleangiectasia (A-T), the A-T Like Disorder (ATLD) and the Seckel Syndrome reflect defects in the specific genes of the DNA damage response such as ATM, MRE11 and ATR. DNA damage response pathways are poorly understood at biochemical level in vertebrate organisms. We have established a cell-free system based on Xenopus laevis egg extract to study molecular events underlying DNA damage response. This is the first in vitro system that recapitulates different aspects of the DNA damage response in vertebrates. Using this system we propose to study the biochemistry of the ATM, ATR and the Mre11 complex dependent DNA damage response. In particular we will: 1) Dissect the signal transduction pathway that senses DNA damage and promotes cell cycle arrest and DNA damage repair; 2) Analyze at molecular level the role of ATM, ATR, Mre11 in chromosomal DNA replication and mitosis during normal and stressful conditions; 3) Identify substrates of the ATM and ATR dependent DNA damage response using an innovative screening procedure.
Summary
Chromosomal DNA is continuously subjected to exogenous and endogenous damaging insults. In the presence of DNA damage cells activate a multi-faceted checkpoint response that delays cell cycle progression and promotes DNA repair. Failures in this response lead to genomic instability, the main feature of cancer cells. Several cancer-prone human syndromes including the Ataxia teleangiectasia (A-T), the A-T Like Disorder (ATLD) and the Seckel Syndrome reflect defects in the specific genes of the DNA damage response such as ATM, MRE11 and ATR. DNA damage response pathways are poorly understood at biochemical level in vertebrate organisms. We have established a cell-free system based on Xenopus laevis egg extract to study molecular events underlying DNA damage response. This is the first in vitro system that recapitulates different aspects of the DNA damage response in vertebrates. Using this system we propose to study the biochemistry of the ATM, ATR and the Mre11 complex dependent DNA damage response. In particular we will: 1) Dissect the signal transduction pathway that senses DNA damage and promotes cell cycle arrest and DNA damage repair; 2) Analyze at molecular level the role of ATM, ATR, Mre11 in chromosomal DNA replication and mitosis during normal and stressful conditions; 3) Identify substrates of the ATM and ATR dependent DNA damage response using an innovative screening procedure.
Max ERC Funding
1 000 000 €
Duration
Start date: 2008-07-01, End date: 2013-06-30
Project acronym ACAP
Project Acency Costs and Asset Pricing
Researcher (PI) Thomas Mariotti
Host Institution (HI) FONDATION JEAN-JACQUES LAFFONT,TOULOUSE SCIENCES ECONOMIQUES
Call Details Starting Grant (StG), SH1, ERC-2007-StG
Summary The main objective of this research project is to contribute at bridging the gap between the two main branches of financial theory, namely corporate finance and asset pricing. It is motivated by the conviction that these two aspects of financial activity should and can be analyzed within a unified framework. This research will borrow from these two approaches in order to construct theoretical models that allow one to analyze the design and issuance of financial securities, as well as the dynamics of their valuations. Unlike asset pricing, which takes as given the price of the fundamentals, the goal is to derive security price processes from a precise description of firm’s operations and internal frictions. Regarding the latter, and in line with traditional corporate finance theory, the analysis will emphasize the role of agency costs within the firm for the design of its securities. But the analysis will be pushed one step further by studying the impact of these agency costs on key financial variables such as stock and bond prices, leverage, book-to-market ratios, default risk, or the holding of liquidities by firms. One of the contributions of this research project is to show how these variables are interrelated when firms and investors agree upon optimal financial arrangements. The final objective is to derive a rich set of testable asset pricing implications that would eventually be brought to the data.
Summary
The main objective of this research project is to contribute at bridging the gap between the two main branches of financial theory, namely corporate finance and asset pricing. It is motivated by the conviction that these two aspects of financial activity should and can be analyzed within a unified framework. This research will borrow from these two approaches in order to construct theoretical models that allow one to analyze the design and issuance of financial securities, as well as the dynamics of their valuations. Unlike asset pricing, which takes as given the price of the fundamentals, the goal is to derive security price processes from a precise description of firm’s operations and internal frictions. Regarding the latter, and in line with traditional corporate finance theory, the analysis will emphasize the role of agency costs within the firm for the design of its securities. But the analysis will be pushed one step further by studying the impact of these agency costs on key financial variables such as stock and bond prices, leverage, book-to-market ratios, default risk, or the holding of liquidities by firms. One of the contributions of this research project is to show how these variables are interrelated when firms and investors agree upon optimal financial arrangements. The final objective is to derive a rich set of testable asset pricing implications that would eventually be brought to the data.
Max ERC Funding
1 000 000 €
Duration
Start date: 2008-11-01, End date: 2014-10-31
Project acronym ACTIVATION OF XCI
Project Molecular mechanisms controlling X chromosome inactivation
Researcher (PI) Joost Henk Gribnau
Host Institution (HI) ERASMUS UNIVERSITAIR MEDISCH CENTRUM ROTTERDAM
Call Details Starting Grant (StG), LS2, ERC-2010-StG_20091118
Summary In mammals, gene dosage of X-chromosomal genes is equalized between sexes by random inactivation of either one of the two X chromosomes in female cells. In the initial phase of X chromosome inactivation (XCI), a counting and initiation process determines the number of X chromosomes per nucleus, and elects the future inactive X chromosome (Xi). Xist is an X-encoded gene that plays a crucial role in the XCI process. At the start of XCI Xist expression is up-regulated and Xist RNA accumulates on the future Xi thereby initiating silencing in cis. Recent work performed in my laboratory indicates that the counting and initiation process is directed by a stochastic mechanism, in which each X chromosome has an independent probability to be inactivated. We also found that this probability is determined by the X:ploïdy ratio. These results indicated the presence of at least one X-linked activator of XCI. With a BAC screen we recently identified X-encoded RNF12 to be a dose-dependent activator of XCI. Expression of RNF12 correlates with Xist expression, and a heterozygous deletion of Rnf12 results in a marked loss of XCI in female cells. The presence of a small proportion of cells that still initiate XCI, in Rnf12+/- cells, also indicated that more XCI-activators are involved in XCI. Here, we propose to investigate the molecular mechanism by which RNF12 activates XCI in mouse and human, and to search for additional XCI-activators. We will also attempt to establish the role of different inhibitors of XCI, including CTCF and the pluripotency factors OCT4, SOX2 and NANOG. We anticipate that these studies will significantly advance our understanding of XCI mechanisms, which is highly relevant for a better insight in the manifestation of X-linked diseases that are affected by XCI.
Summary
In mammals, gene dosage of X-chromosomal genes is equalized between sexes by random inactivation of either one of the two X chromosomes in female cells. In the initial phase of X chromosome inactivation (XCI), a counting and initiation process determines the number of X chromosomes per nucleus, and elects the future inactive X chromosome (Xi). Xist is an X-encoded gene that plays a crucial role in the XCI process. At the start of XCI Xist expression is up-regulated and Xist RNA accumulates on the future Xi thereby initiating silencing in cis. Recent work performed in my laboratory indicates that the counting and initiation process is directed by a stochastic mechanism, in which each X chromosome has an independent probability to be inactivated. We also found that this probability is determined by the X:ploïdy ratio. These results indicated the presence of at least one X-linked activator of XCI. With a BAC screen we recently identified X-encoded RNF12 to be a dose-dependent activator of XCI. Expression of RNF12 correlates with Xist expression, and a heterozygous deletion of Rnf12 results in a marked loss of XCI in female cells. The presence of a small proportion of cells that still initiate XCI, in Rnf12+/- cells, also indicated that more XCI-activators are involved in XCI. Here, we propose to investigate the molecular mechanism by which RNF12 activates XCI in mouse and human, and to search for additional XCI-activators. We will also attempt to establish the role of different inhibitors of XCI, including CTCF and the pluripotency factors OCT4, SOX2 and NANOG. We anticipate that these studies will significantly advance our understanding of XCI mechanisms, which is highly relevant for a better insight in the manifestation of X-linked diseases that are affected by XCI.
Max ERC Funding
1 500 000 €
Duration
Start date: 2011-04-01, End date: 2016-03-31
Project acronym ACTSELECTCONTEXT
Project Action Selection under Contextual Uncertainty: the Role of Learning and Effective Connectivity in the Human Brain
Researcher (PI) Sven Bestmann
Host Institution (HI) UNIVERSITY COLLEGE LONDON
Call Details Starting Grant (StG), LS5, ERC-2010-StG_20091118
Summary In a changing world, one hallmark feature of human behaviour is the ability to learn about the statistics of the environment and use this prior information for action selection. Knowing about a forthcoming event allows for adjusting our actions pre-emptively, which can optimize survival.
This proposal studies how the human brain learns about the uncertainty in the environment, and how this leads to flexible and efficient action selection.
I hypothesise that the accumulation of evidence for future movements through learning reflects a fundamental organisational principle for action control. This explains widely distributed perceptual-, learning-, decision-, and movement-related signals in the human brain. However, little is known about the concerted interplay between brain regions in terms of effective connectivity which is required for flexible behaviour.
My proposal seeks to shed light on this unresolved issue. To this end, I will use i) a multi-disciplinary neuroimaging approach, together with model-based analyses and Bayesian model comparison, adapted to human reaching behaviour as occurring in daily life; and ii) two novel approaches for testing effective connectivity: dynamic causal modelling (DCM) and concurrent transcranial magnetic stimulation-functional magnetic resonance imaging.
My prediction is that action selection relies on effective connectivity changes, which are a function of the prior information that the brain has to learn about.
If true, this will provide novel insight into the human ability to select actions, based on learning about the uncertainty which is inherent in contextual information. This is relevant for understanding action selection during development and ageing, and for pathologies of action such as Parkinson s disease or stroke.
Summary
In a changing world, one hallmark feature of human behaviour is the ability to learn about the statistics of the environment and use this prior information for action selection. Knowing about a forthcoming event allows for adjusting our actions pre-emptively, which can optimize survival.
This proposal studies how the human brain learns about the uncertainty in the environment, and how this leads to flexible and efficient action selection.
I hypothesise that the accumulation of evidence for future movements through learning reflects a fundamental organisational principle for action control. This explains widely distributed perceptual-, learning-, decision-, and movement-related signals in the human brain. However, little is known about the concerted interplay between brain regions in terms of effective connectivity which is required for flexible behaviour.
My proposal seeks to shed light on this unresolved issue. To this end, I will use i) a multi-disciplinary neuroimaging approach, together with model-based analyses and Bayesian model comparison, adapted to human reaching behaviour as occurring in daily life; and ii) two novel approaches for testing effective connectivity: dynamic causal modelling (DCM) and concurrent transcranial magnetic stimulation-functional magnetic resonance imaging.
My prediction is that action selection relies on effective connectivity changes, which are a function of the prior information that the brain has to learn about.
If true, this will provide novel insight into the human ability to select actions, based on learning about the uncertainty which is inherent in contextual information. This is relevant for understanding action selection during development and ageing, and for pathologies of action such as Parkinson s disease or stroke.
Max ERC Funding
1 341 805 €
Duration
Start date: 2011-06-01, End date: 2016-05-31
Project acronym ALMP_ECON
Project Effective evaluation of active labour market policies in social insurance programs - improving the interaction between econometric evaluation estimators and economic theory
Researcher (PI) Bas Van Der Klaauw
Host Institution (HI) STICHTING VU
Call Details Starting Grant (StG), SH1, ERC-2007-StG
Summary In most European countries social insurance programs, like welfare, unemployment insurance and disability insurance are characterized by low reemployment rates. Therefore, governments spend huge amounts of money on active labour market programs, which should help individuals in finding work. Recent surveys indicate that programs which aim at intensifying job search behaviour are much more effective than schooling programs for improving human capital. A second conclusion from these surveys is that despite the size of the spendings on these programs, evidence on its effectiveness is limited. This research proposal aims at developing an economic framework that will be used to evaluate the effectiveness of popular programs like offering reemployment bonuses, fraud detection, workfare and job search monitoring. The main innovation is that I will combine economic theory with recently developed econometric techniques and detailed administrative data sets, which have not been explored before. While most of the literature only focuses on short-term outcomes, the available data allow me to also consider the long-term effectiveness of programs. The key advantage of an economic model is that I can compare the effectiveness of the different programs, consider modifications of programs and combinations of programs. Furthermore, using an economic model I can construct profiling measures to improve the targeting of programs to subsamples of the population. This is particularly relevant if the effectiveness of programs differs between individuals or depends on the moment in time the program is offered. Therefore, the results from this research will not only be of scientific interest, but will also be of great value to policymakers.
Summary
In most European countries social insurance programs, like welfare, unemployment insurance and disability insurance are characterized by low reemployment rates. Therefore, governments spend huge amounts of money on active labour market programs, which should help individuals in finding work. Recent surveys indicate that programs which aim at intensifying job search behaviour are much more effective than schooling programs for improving human capital. A second conclusion from these surveys is that despite the size of the spendings on these programs, evidence on its effectiveness is limited. This research proposal aims at developing an economic framework that will be used to evaluate the effectiveness of popular programs like offering reemployment bonuses, fraud detection, workfare and job search monitoring. The main innovation is that I will combine economic theory with recently developed econometric techniques and detailed administrative data sets, which have not been explored before. While most of the literature only focuses on short-term outcomes, the available data allow me to also consider the long-term effectiveness of programs. The key advantage of an economic model is that I can compare the effectiveness of the different programs, consider modifications of programs and combinations of programs. Furthermore, using an economic model I can construct profiling measures to improve the targeting of programs to subsamples of the population. This is particularly relevant if the effectiveness of programs differs between individuals or depends on the moment in time the program is offered. Therefore, the results from this research will not only be of scientific interest, but will also be of great value to policymakers.
Max ERC Funding
550 000 €
Duration
Start date: 2008-07-01, End date: 2013-06-30
Project acronym ALOGLADIS
Project From Anderson localization to Bose, Fermi and spin glasses in disordered ultracold gases
Researcher (PI) Laurent Sanchez-Palencia
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Call Details Starting Grant (StG), PE2, ERC-2010-StG_20091028
Summary The field of disordered quantum gases is developing rapidly. Dramatic progress has been achieved recently and first experimental observation of one-dimensional Anderson localization (AL) of matterwaves has been reported using Bose-Einstein condensates in controlled disorder (in our group at Institut d'Optique and at LENS; Nature, 2008). This dramatic success results from joint theoretical and experimental efforts, we have contributed to. Most importantly, it opens unprecedented routes to pursue several outstanding challenges in the multidisciplinary field of disordered systems, which, after fifty years of Anderson localization, is more active than ever.
This theoretical project aims at further developing the emerging field of disordered quantum gases towards novel challenges. Our aim is twofold. First, we will propose and analyze schemes where experiments on ultracold atoms can address unsolved issues: AL in dimensions higher than one, effects of inter-atomic interactions on AL, strongly-correlated disordered gases and quantum simulators for spin systems (spin glasses). Second, by taking into account specific features of ultracold atoms, beyond standard toy-models, we will raise and study new questions which have not been addressed before (eg long-range correlations of speckle potentials, finite-size effects, controlled interactions). Both aspects would open new frontiers to disordered quantum gases and offer new possibilities to shed new light on highly debated issues.
Our main concerns are thus to (i) study situations relevant to experiments, (ii) develop new approaches, applicable to ultracold atoms, (iii) identify key observables, and (iv) propose new challenging experiments. In this project, we will benefit from the original situation of our theory team: It is independent but forms part of a larger group (lead by A. Aspect), which is a world-leader in experiments on disordered quantum gases, we have already developed close collaborative relationship with.
Summary
The field of disordered quantum gases is developing rapidly. Dramatic progress has been achieved recently and first experimental observation of one-dimensional Anderson localization (AL) of matterwaves has been reported using Bose-Einstein condensates in controlled disorder (in our group at Institut d'Optique and at LENS; Nature, 2008). This dramatic success results from joint theoretical and experimental efforts, we have contributed to. Most importantly, it opens unprecedented routes to pursue several outstanding challenges in the multidisciplinary field of disordered systems, which, after fifty years of Anderson localization, is more active than ever.
This theoretical project aims at further developing the emerging field of disordered quantum gases towards novel challenges. Our aim is twofold. First, we will propose and analyze schemes where experiments on ultracold atoms can address unsolved issues: AL in dimensions higher than one, effects of inter-atomic interactions on AL, strongly-correlated disordered gases and quantum simulators for spin systems (spin glasses). Second, by taking into account specific features of ultracold atoms, beyond standard toy-models, we will raise and study new questions which have not been addressed before (eg long-range correlations of speckle potentials, finite-size effects, controlled interactions). Both aspects would open new frontiers to disordered quantum gases and offer new possibilities to shed new light on highly debated issues.
Our main concerns are thus to (i) study situations relevant to experiments, (ii) develop new approaches, applicable to ultracold atoms, (iii) identify key observables, and (iv) propose new challenging experiments. In this project, we will benefit from the original situation of our theory team: It is independent but forms part of a larger group (lead by A. Aspect), which is a world-leader in experiments on disordered quantum gases, we have already developed close collaborative relationship with.
Max ERC Funding
985 200 €
Duration
Start date: 2011-01-01, End date: 2015-12-31
Project acronym ALORS
Project Advanced Lagrangian Optimization, Receptivity and Sensitivity analysis applied to industrial situations
Researcher (PI) Matthew Pudan Juniper
Host Institution (HI) THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Call Details Starting Grant (StG), PE8, ERC-2010-StG_20091028
Summary In the last ten years there has been a surge of interest in non-modal analysis applied to canonical problems in fundamental fluid mechanics. Even in simple flows, the stability behaviour predicted by non-modal analysis can be completely different from and far more accurate than that predicted by conventional eigenvalue analysis.
As well as being more accurate, the tools of non-modal analysis, such as Lagrangian optimization, are very versatile. Furthermore, the outputs, such as receptivity and sensitivity maps of a flow, provide powerful insight for engineers. They describe where a flow is most receptive to forcing or where the flow is most sensitive to modification.
The application of non-modal analysis to canonical problems has set the scene for step changes in engineering practice in fluid mechanics and thermoacoustics. The technical objectives of this proposal are to apply non-modal analysis to high Reynolds number flows, reacting flows and thermoacoustic systems, to compare theoretical predictions with experimental measurements and to embed these techniques within an industrial design tool that has already been developed by the group.
This research group s vision is that future generations of engineering CFD tools will contain modules that can perform non-modal analysis. The generalized approach proposed here, combined with challenging scientific and engineering examples that are backed up by experimental evidence, will make this possible and demonstrate it to a wider engineering community.
Summary
In the last ten years there has been a surge of interest in non-modal analysis applied to canonical problems in fundamental fluid mechanics. Even in simple flows, the stability behaviour predicted by non-modal analysis can be completely different from and far more accurate than that predicted by conventional eigenvalue analysis.
As well as being more accurate, the tools of non-modal analysis, such as Lagrangian optimization, are very versatile. Furthermore, the outputs, such as receptivity and sensitivity maps of a flow, provide powerful insight for engineers. They describe where a flow is most receptive to forcing or where the flow is most sensitive to modification.
The application of non-modal analysis to canonical problems has set the scene for step changes in engineering practice in fluid mechanics and thermoacoustics. The technical objectives of this proposal are to apply non-modal analysis to high Reynolds number flows, reacting flows and thermoacoustic systems, to compare theoretical predictions with experimental measurements and to embed these techniques within an industrial design tool that has already been developed by the group.
This research group s vision is that future generations of engineering CFD tools will contain modules that can perform non-modal analysis. The generalized approach proposed here, combined with challenging scientific and engineering examples that are backed up by experimental evidence, will make this possible and demonstrate it to a wider engineering community.
Max ERC Funding
1 301 196 €
Duration
Start date: 2010-12-01, End date: 2016-06-30