Project acronym ACTAR TPC
Project Active Target and Time Projection Chamber
Researcher (PI) Gwen Grinyer
Host Institution (HI) GRAND ACCELERATEUR NATIONAL D'IONS LOURDS
Country France
Call Details Starting Grant (StG), PE2, ERC-2013-StG
Summary The active target and time projection chamber (ACTAR TPC) is a novel gas-filled detection system that will permit new studies into the structure and decays of the most exotic nuclei. The use of a gas volume that acts as a sensitive detection medium and as the reaction target itself (an “active target”) offers considerable advantages over traditional nuclear physics detectors and techniques. In high-energy physics, TPC detectors have found profitable applications but their use in nuclear physics has been limited. With the ACTAR TPC design, individual detection pad sizes of 2 mm are the smallest ever attempted in either discipline but is a requirement for high-efficiency and high-resolution nuclear spectroscopy. The corresponding large number of electronic channels (16000 from a surface of only 25×25 cm) requires new developments in high-density electronics and data-acquisition systems that are not yet available in the nuclear physics domain. New experiments in regions of the nuclear chart that cannot be presently contemplated will become feasible with ACTAR TPC.
Summary
The active target and time projection chamber (ACTAR TPC) is a novel gas-filled detection system that will permit new studies into the structure and decays of the most exotic nuclei. The use of a gas volume that acts as a sensitive detection medium and as the reaction target itself (an “active target”) offers considerable advantages over traditional nuclear physics detectors and techniques. In high-energy physics, TPC detectors have found profitable applications but their use in nuclear physics has been limited. With the ACTAR TPC design, individual detection pad sizes of 2 mm are the smallest ever attempted in either discipline but is a requirement for high-efficiency and high-resolution nuclear spectroscopy. The corresponding large number of electronic channels (16000 from a surface of only 25×25 cm) requires new developments in high-density electronics and data-acquisition systems that are not yet available in the nuclear physics domain. New experiments in regions of the nuclear chart that cannot be presently contemplated will become feasible with ACTAR TPC.
Max ERC Funding
1 290 000 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym BETTERSENSE
Project Nanodevice Engineering for a Better Chemical Gas Sensing Technology
Researcher (PI) Juan Daniel Prades Garcia
Host Institution (HI) UNIVERSITAT DE BARCELONA
Country Spain
Call Details Starting Grant (StG), PE7, ERC-2013-StG
Summary BetterSense aims to solve the two main problems in current gas sensor technologies: the high power consumption and the poor selectivity. For the former, we propose a radically new approach: to integrate the sensing components and the energy sources intimately, at the nanoscale, in order to achieve a new kind of sensor concept featuring zero power consumption. For the latter, we will mimic the biological receptors designing a kit of gas-specific molecular organic functionalizations to reach ultra-high gas selectivity figures, comparable to those of biological processes. Both cutting-edge concepts will be developed in parallel an integrated together to render a totally new gas sensing technology that surpasses the state-of-the-art.
As a matter of fact, the project will enable, for the first time, the integration of gas detectors in energetically autonomous sensors networks. Additionally, BetterSense will provide an integral solution to the gas sensing challenge by producing a full set of gas-specific sensors over the same platform to ease their integration in multi-analyte systems. Moreover, the project approach will certainly open opportunities in adjacent fields in which power consumption, specificity and nano/micro integration are a concern, such as liquid chemical and biological sensing.
In spite of the promising evidences that demonstrate the feasibility of this proposal, there are still many scientific and technological issues to solve, most of them in the edge of what is known and what is possible today in nano-fabrication and nano/micro integration. For this reason, BetterSense also aims to contribute to the global challenge of making nanodevices compatible with scalable, cost-effective, microelectronic technologies.
For all this, addressing this challenging proposal in full requires a funding scheme compatible with a high-risk/high-gain vision to finance the full dedication of a highly motivated research team with multidisciplinary skill
Summary
BetterSense aims to solve the two main problems in current gas sensor technologies: the high power consumption and the poor selectivity. For the former, we propose a radically new approach: to integrate the sensing components and the energy sources intimately, at the nanoscale, in order to achieve a new kind of sensor concept featuring zero power consumption. For the latter, we will mimic the biological receptors designing a kit of gas-specific molecular organic functionalizations to reach ultra-high gas selectivity figures, comparable to those of biological processes. Both cutting-edge concepts will be developed in parallel an integrated together to render a totally new gas sensing technology that surpasses the state-of-the-art.
As a matter of fact, the project will enable, for the first time, the integration of gas detectors in energetically autonomous sensors networks. Additionally, BetterSense will provide an integral solution to the gas sensing challenge by producing a full set of gas-specific sensors over the same platform to ease their integration in multi-analyte systems. Moreover, the project approach will certainly open opportunities in adjacent fields in which power consumption, specificity and nano/micro integration are a concern, such as liquid chemical and biological sensing.
In spite of the promising evidences that demonstrate the feasibility of this proposal, there are still many scientific and technological issues to solve, most of them in the edge of what is known and what is possible today in nano-fabrication and nano/micro integration. For this reason, BetterSense also aims to contribute to the global challenge of making nanodevices compatible with scalable, cost-effective, microelectronic technologies.
For all this, addressing this challenging proposal in full requires a funding scheme compatible with a high-risk/high-gain vision to finance the full dedication of a highly motivated research team with multidisciplinary skill
Max ERC Funding
1 498 452 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym CALDER
Project Cryogenic wide-Area Light Detectors
with Excellent Resolution
Researcher (PI) Marco Vignati
Host Institution (HI) ISTITUTO NAZIONALE DI FISICA NUCLEARE
Country Italy
Call Details Starting Grant (StG), PE2, ERC-2013-StG
Summary "In the comprehension of fundamental laws of nature, particle physics is now facing two important questions:
1) What is the nature of the neutrino, is it a standard (Dirac) particle or a Majorana particle? The nature of the neutrino plays a crucial role in the global framework of particle interactions and in cosmology. The only practicable way to answer this question is to search for a nuclear process called ""neutrinoless double beta decay"" (0nuDBD).
2) What is the so called ""dark matter"" made of? Astrophysical observations suggest that the largest part of the mass of the Universe is composed by a form of matter other than atoms and known matter constituents. We still do not know what dark matter is made of because its rate of interaction with ordinary matter is really low, thus making the direct experimental detection extremely difficult.
Both 0nuDBD and dark matter interactions are rare processes and can be detected using the same experimental technique. Bolometers are promising devices and their combination with light detectors provides the identification of interacting particles, a powerful tool to reduce the background.
The goal of CALDER is to realize a new type of light detectors to improve the upcoming generation of bolometric experiments. The detectors will be designed to feature unprecedented energy resolution and reliability, to ensure an almost complete particle identification. In case of success, CUORE, a 0nuDBD experiment in construction, would gain in sensitivity by up to a factor 6. LUCIFER, a 0nuDBD experiment already implementing the light detection, could be sensitive also to dark matter interactions, thus increasing its research potential. The light detectors will be based on Kinetic Inductance Detectors (KIDs), a new technology that proved its potential in astrophysical applications but that is still new in the field of particle physics and rare event searches."
Summary
"In the comprehension of fundamental laws of nature, particle physics is now facing two important questions:
1) What is the nature of the neutrino, is it a standard (Dirac) particle or a Majorana particle? The nature of the neutrino plays a crucial role in the global framework of particle interactions and in cosmology. The only practicable way to answer this question is to search for a nuclear process called ""neutrinoless double beta decay"" (0nuDBD).
2) What is the so called ""dark matter"" made of? Astrophysical observations suggest that the largest part of the mass of the Universe is composed by a form of matter other than atoms and known matter constituents. We still do not know what dark matter is made of because its rate of interaction with ordinary matter is really low, thus making the direct experimental detection extremely difficult.
Both 0nuDBD and dark matter interactions are rare processes and can be detected using the same experimental technique. Bolometers are promising devices and their combination with light detectors provides the identification of interacting particles, a powerful tool to reduce the background.
The goal of CALDER is to realize a new type of light detectors to improve the upcoming generation of bolometric experiments. The detectors will be designed to feature unprecedented energy resolution and reliability, to ensure an almost complete particle identification. In case of success, CUORE, a 0nuDBD experiment in construction, would gain in sensitivity by up to a factor 6. LUCIFER, a 0nuDBD experiment already implementing the light detection, could be sensitive also to dark matter interactions, thus increasing its research potential. The light detectors will be based on Kinetic Inductance Detectors (KIDs), a new technology that proved its potential in astrophysical applications but that is still new in the field of particle physics and rare event searches."
Max ERC Funding
1 176 758 €
Duration
Start date: 2014-03-01, End date: 2019-02-28
Project acronym CHROMOTHRIPSIS
Project Dissecting the Molecular Mechanism of Catastrophic DNA Rearrangement in Cancer
Researcher (PI) Jan Oliver Korbel
Host Institution (HI) EUROPEAN MOLECULAR BIOLOGY LABORATORY
Country Germany
Call Details Starting Grant (StG), LS2, ERC-2013-StG
Summary Recent cancer genome analyses have led to the discovery of a process involving massive genome structural rearrangement (SR) formation in a one-step, cataclysmic event, coined chromothripsis. The term chromothripsis (chromo from chromosome; thripsis for shattering into pieces) stands for a hypothetical process in which individual chromosomes are pulverised, resulting in a multitude of fragments, some of which are lost to the cell whereas others are erroneously rejoined. Compelling evidence was presented that chromothripsis plays a crucial role in the development, or progression of a notable subset of human cancers – thus, tumorigensis models involving gradual acquisitions of alterations may need to be revised in these cancers.
Presently, chromothripsis lacks a mechanistic basis. We recently showed that in childhood medulloblastoma brain tumours driven by Sonic Hedgehog (Shh) signalling, chromothripsis is linked with predisposing TP53 mutations. Thus, rather than occurring in isolation, chromothripsis appears to be prone to happen in conjunction with (or instigated by) gradually acquired alterations, or in the context of active signalling pathways, the inference of which may lead to further mechanistic insights. Using such rationale, I propose to dissect the mechanism behind chromothripsis using interdisciplinary approaches. First, we will develop a computational approach to accurately detect chromothripsis. Second, we will use this approach to link chromothripsis with novel factors and contexts. Third, we will develop highly controllable cell line-based systems to test concrete mechanistic hypotheses, thereby taking into account our data on linked factors and contexts. Fourth, we will generate transcriptome data to monitor pathways involved in inducing chromothripsis, and such involved in coping with the massive SRs occurring. We will also combine findings from all these approaches to build a comprehensive model of chromothripsis and its associated pathways.
Summary
Recent cancer genome analyses have led to the discovery of a process involving massive genome structural rearrangement (SR) formation in a one-step, cataclysmic event, coined chromothripsis. The term chromothripsis (chromo from chromosome; thripsis for shattering into pieces) stands for a hypothetical process in which individual chromosomes are pulverised, resulting in a multitude of fragments, some of which are lost to the cell whereas others are erroneously rejoined. Compelling evidence was presented that chromothripsis plays a crucial role in the development, or progression of a notable subset of human cancers – thus, tumorigensis models involving gradual acquisitions of alterations may need to be revised in these cancers.
Presently, chromothripsis lacks a mechanistic basis. We recently showed that in childhood medulloblastoma brain tumours driven by Sonic Hedgehog (Shh) signalling, chromothripsis is linked with predisposing TP53 mutations. Thus, rather than occurring in isolation, chromothripsis appears to be prone to happen in conjunction with (or instigated by) gradually acquired alterations, or in the context of active signalling pathways, the inference of which may lead to further mechanistic insights. Using such rationale, I propose to dissect the mechanism behind chromothripsis using interdisciplinary approaches. First, we will develop a computational approach to accurately detect chromothripsis. Second, we will use this approach to link chromothripsis with novel factors and contexts. Third, we will develop highly controllable cell line-based systems to test concrete mechanistic hypotheses, thereby taking into account our data on linked factors and contexts. Fourth, we will generate transcriptome data to monitor pathways involved in inducing chromothripsis, and such involved in coping with the massive SRs occurring. We will also combine findings from all these approaches to build a comprehensive model of chromothripsis and its associated pathways.
Max ERC Funding
1 471 964 €
Duration
Start date: 2014-04-01, End date: 2019-01-31
Project acronym COLORTTH
Project The Higgs: A colored View from the Top at ATLAS
Researcher (PI) Reinhild Fatima Yvonne Peters
Host Institution (HI) THE UNIVERSITY OF MANCHESTER
Country United Kingdom
Call Details Starting Grant (StG), PE2, ERC-2013-StG
Summary "With the ground-breaking discovery of a new, Higgs-like boson on July 4th, 2012, by the CMS and ATLAS collaborations at CERN, a new era of particle physics has begun. The discovery is the first step in answering an unsolved problem in particle physics, the question how fundamental bosons and fermions acquire their mass. One of the major goals in collider physics in the next few years will be the deeper insight into the nature of the new particle, its connection to the known fundamental particles and possible extensions beyond the standard model (SM) of particle physics.
My project aims at a particular interesting field to study, the relation of the new particle with the heaviest known elementary particle, the top quark. I aim to develop new, innovative techniques and beyond state-of-the-art methods to extract the Yukawa coupling between the top quark and the Higgs boson, which is expected to be of the order of one - much higher than that of any other quark. I will analyse the only process where the top-Higgs Yukawa coupling can be measured, in associated production of top quark pairs and a Higgs boson. The Higgs boson mainly decays into a pair of b-quarks. This is one of the most challenging channels at the LHC, as huge background processes from gluon splitting contribute. In particular, I will develop and study color flow variables, which provide a unique, powerful technique to distinguish color singlet Higgs bosons from the main background, color octet gluons.
The ultimate goal of the project is the first measurement of the top-Higgs Yukawa coupling and its confrontation with SM and beyond SM Higgs boson models, resulting in an unprecedented insight into the fundamental laws of nature.
The LHC will soon reach a new energy frontier of 13 TeV starting in 2014. This new environment will provide never seen opportunities to study hints of new physics and precisely measure properties of the newly found particle. This sets the stage for the project."
Summary
"With the ground-breaking discovery of a new, Higgs-like boson on July 4th, 2012, by the CMS and ATLAS collaborations at CERN, a new era of particle physics has begun. The discovery is the first step in answering an unsolved problem in particle physics, the question how fundamental bosons and fermions acquire their mass. One of the major goals in collider physics in the next few years will be the deeper insight into the nature of the new particle, its connection to the known fundamental particles and possible extensions beyond the standard model (SM) of particle physics.
My project aims at a particular interesting field to study, the relation of the new particle with the heaviest known elementary particle, the top quark. I aim to develop new, innovative techniques and beyond state-of-the-art methods to extract the Yukawa coupling between the top quark and the Higgs boson, which is expected to be of the order of one - much higher than that of any other quark. I will analyse the only process where the top-Higgs Yukawa coupling can be measured, in associated production of top quark pairs and a Higgs boson. The Higgs boson mainly decays into a pair of b-quarks. This is one of the most challenging channels at the LHC, as huge background processes from gluon splitting contribute. In particular, I will develop and study color flow variables, which provide a unique, powerful technique to distinguish color singlet Higgs bosons from the main background, color octet gluons.
The ultimate goal of the project is the first measurement of the top-Higgs Yukawa coupling and its confrontation with SM and beyond SM Higgs boson models, resulting in an unprecedented insight into the fundamental laws of nature.
The LHC will soon reach a new energy frontier of 13 TeV starting in 2014. This new environment will provide never seen opportunities to study hints of new physics and precisely measure properties of the newly found particle. This sets the stage for the project."
Max ERC Funding
1 163 755 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym CON-HUMO
Project Control based on Human Models
Researcher (PI) Sandra Hirche
Host Institution (HI) TECHNISCHE UNIVERSITAET MUENCHEN
Country Germany
Call Details Starting Grant (StG), PE7, ERC-2013-StG
Summary "CON-HUMO focuses on novel concepts for automatic control based on data-driven human models and machine learning. This enables innovative control applications that are difficult if not impossible to realize using traditional control and identification methods, in particular in the challenging area of smart human-machine interaction. In order to achieve intuitive and efficient goal-oriented interaction, anticipation is key. For control selection based on prediction a dynamic model of the human interaction behavior is required, which, however, is difficult to obtain from first principles. In order to cope with the high complexity of human behavior with unknown inputs and only sparsely available training data we propose to use machine-learning techniques for statistical modeling of the dynamics. In this new field of human interaction modeling – data-driven and machine-learned – control methods with guaranteed properties do not exist. CON-HUMO addresses this niche.
Key methodological innovation and breakthrough is the merger of probabilistic learning with model-based control concepts through model confidence and prediction uncertainty. For the sake of concreteness and evaluation the focus is on one of the most challenging problem classes, namely physical human-machine interaction: Because of the physical contact between the human and the machine not only information, but also energy is exchanged posing fundamental challenges for real-time human-adaptive and safe decision making/control and requiring provable stability and performance guarantees. The developed methods are a direct enabler for societally important applications such as machine-based physical rehabilitation, mobility and manipulation aids for elderly, and collaborative human-machine production systems. With its fundamental results CON-HUMO lays the ground for the systematic control design for smart human-machine/infrastructure interaction."
Summary
"CON-HUMO focuses on novel concepts for automatic control based on data-driven human models and machine learning. This enables innovative control applications that are difficult if not impossible to realize using traditional control and identification methods, in particular in the challenging area of smart human-machine interaction. In order to achieve intuitive and efficient goal-oriented interaction, anticipation is key. For control selection based on prediction a dynamic model of the human interaction behavior is required, which, however, is difficult to obtain from first principles. In order to cope with the high complexity of human behavior with unknown inputs and only sparsely available training data we propose to use machine-learning techniques for statistical modeling of the dynamics. In this new field of human interaction modeling – data-driven and machine-learned – control methods with guaranteed properties do not exist. CON-HUMO addresses this niche.
Key methodological innovation and breakthrough is the merger of probabilistic learning with model-based control concepts through model confidence and prediction uncertainty. For the sake of concreteness and evaluation the focus is on one of the most challenging problem classes, namely physical human-machine interaction: Because of the physical contact between the human and the machine not only information, but also energy is exchanged posing fundamental challenges for real-time human-adaptive and safe decision making/control and requiring provable stability and performance guarantees. The developed methods are a direct enabler for societally important applications such as machine-based physical rehabilitation, mobility and manipulation aids for elderly, and collaborative human-machine production systems. With its fundamental results CON-HUMO lays the ground for the systematic control design for smart human-machine/infrastructure interaction."
Max ERC Funding
1 494 640 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym Coupled gene circuit
Project Dynamics, noise, and coupling in gene circuit modules
Researcher (PI) James Charles Wallace Locke
Host Institution (HI) THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Country United Kingdom
Call Details Starting Grant (StG), LS2, ERC-2013-StG
Summary Cells must integrate output from multiple genetic circuits in order to correctly control cellular processes. Despite much work characterizing regulation in these circuits, how circuits interact to control global cellular programs remains unclear. This is particularly true given that recent research at the single cell level has revealed that genetic circuits often generate variable or stochastic regulation dynamics. In this proposal we will use a multi-disciplinary approach, combining modelling and time-lapse microscopy, to investigate how cells can robustly integrate signals from multiple dynamic genetic circuits. In particular we will answer the following questions: 1) What types of dynamic signal encoding strategies are available for the cell? 2) What are the benefits of dynamic gene activation, whether stochastic or oscillatory, to the cell? 3) How do cells couple and integrate output from diverse gene modules despite the noise and variability observed in gene circuit dynamics?
We will study these questions using 2 key model systems. In Aim 1, we will examine stochastic pulse regulation dynamics and coupling between alternative sigma factors in B. subtilis. Our preliminary data has revealed that multiple B. subtilis sigma factors stochastically pulse under stress. We will look for evidence of any coupling or interactions between these stochastic pulse circuits. This system will serve as a model for how a cell uses stochastic pulsing to control diverse cellular processes. In Aim 2, we will examine coupling between a deterministic oscillator, the circadian clock, and multiple other key pathways in Cyanobacteria. We will examine how the cell can dynamically couple multiple cellular processes using an oscillating signal. This work will provide an excellent base for Aim 3, in which we will use synthetic biology approaches to develop ‘bottom up’ tests of generation of novel dynamic coupling strategies.
Summary
Cells must integrate output from multiple genetic circuits in order to correctly control cellular processes. Despite much work characterizing regulation in these circuits, how circuits interact to control global cellular programs remains unclear. This is particularly true given that recent research at the single cell level has revealed that genetic circuits often generate variable or stochastic regulation dynamics. In this proposal we will use a multi-disciplinary approach, combining modelling and time-lapse microscopy, to investigate how cells can robustly integrate signals from multiple dynamic genetic circuits. In particular we will answer the following questions: 1) What types of dynamic signal encoding strategies are available for the cell? 2) What are the benefits of dynamic gene activation, whether stochastic or oscillatory, to the cell? 3) How do cells couple and integrate output from diverse gene modules despite the noise and variability observed in gene circuit dynamics?
We will study these questions using 2 key model systems. In Aim 1, we will examine stochastic pulse regulation dynamics and coupling between alternative sigma factors in B. subtilis. Our preliminary data has revealed that multiple B. subtilis sigma factors stochastically pulse under stress. We will look for evidence of any coupling or interactions between these stochastic pulse circuits. This system will serve as a model for how a cell uses stochastic pulsing to control diverse cellular processes. In Aim 2, we will examine coupling between a deterministic oscillator, the circadian clock, and multiple other key pathways in Cyanobacteria. We will examine how the cell can dynamically couple multiple cellular processes using an oscillating signal. This work will provide an excellent base for Aim 3, in which we will use synthetic biology approaches to develop ‘bottom up’ tests of generation of novel dynamic coupling strategies.
Max ERC Funding
1 499 571 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym DANCER
Project DAtacommunications based on NanophotoniC Resonators
Researcher (PI) John William Whelan-Curtin
Host Institution (HI) CORK INSTITUTE OF TECHNOLOGY
Country Ireland
Call Details Starting Grant (StG), PE7, ERC-2013-StG
Summary A key challenge for the 21st century is, therefore to provide billions of people with the means to access, move and manipulate, what has become, huge volumes of information. The environmental and economic implications becoming serious, making energy efficient data communications key to the operation of today’s society.
In this project, the Principal Investigator will develop a new framework for optical interconnects and provide a common platform that spans Fibre-to-the-home to chip-to-chip links, even as far as global on-chip interconnects. The project is based on the efficient coupling of the Photonic Crystal resonators with the outside world. These provide the ultimate confinement of light in both space and time allowing orders of magnitude improvements in performance relative to the state of the art, yet in a simpler simple system- the innovator’s dream. New versions of the key components of optical links- light sources, modulators and photo-detectors- will be realised in this new framework providing a new paradigm for energy efficient communication.
Summary
A key challenge for the 21st century is, therefore to provide billions of people with the means to access, move and manipulate, what has become, huge volumes of information. The environmental and economic implications becoming serious, making energy efficient data communications key to the operation of today’s society.
In this project, the Principal Investigator will develop a new framework for optical interconnects and provide a common platform that spans Fibre-to-the-home to chip-to-chip links, even as far as global on-chip interconnects. The project is based on the efficient coupling of the Photonic Crystal resonators with the outside world. These provide the ultimate confinement of light in both space and time allowing orders of magnitude improvements in performance relative to the state of the art, yet in a simpler simple system- the innovator’s dream. New versions of the key components of optical links- light sources, modulators and photo-detectors- will be realised in this new framework providing a new paradigm for energy efficient communication.
Max ERC Funding
1 495 450 €
Duration
Start date: 2013-12-01, End date: 2019-05-31
Project acronym DIRECTEDINFO
Project Investigating Directed Information
Researcher (PI) Haim Permuter
Host Institution (HI) BEN-GURION UNIVERSITY OF THE NEGEV
Country Israel
Call Details Starting Grant (StG), PE7, ERC-2013-StG
Summary This research investigates a new measure that arises in information theory
called directed information. Recent advances, including our preliminary results, shows that
directed information arises in communication as the maximum rate that can be transmitted reliably
in channels with feedback. The directed information is multi-letter expression and therefore very
hard to optimize or compute.
Our plan is first of all to find an efficient methodology for optimizing the measure using the
dynamic programming framework and convex optimization tools. As an important by-product of
finding the fundamental limits is finding coding schemes that achieves the limits. Second, we
plan to find new roles for directed information in communication, especially in networks with
bi-directional communication and in data compression with causal conditions. Third, encouraged by
a preliminary work on interpretation of directed information in economics and estimation theory,
we plan to show that directed information has interpretation in additional fields such as
statistical physics. We plan to show that there is duality relation between different fields with
causal constraints. Due to the duality insights and breakthroughs in one problem will lead to new
insights in other problems. Finally, we will apply directed information as a statistical
inference of causal dependence. We will show how to estimate and use the directed information
estimator to measure causal inference between two or more process. In particular, one of the
questions we plan to answer is the influence of industrial activities (e.g., $\text{CO}_2$
volumes) on the global warming.
Our main focus will be to develop a deeper understanding of the mathematical properties of
directed information, a process that is instrumental to each problem. Due to their theoretical
proximity and their interdisciplinary nature, progress in one problem will lead to new insights
in other problems. A common set of mathematical tools developed in
Summary
This research investigates a new measure that arises in information theory
called directed information. Recent advances, including our preliminary results, shows that
directed information arises in communication as the maximum rate that can be transmitted reliably
in channels with feedback. The directed information is multi-letter expression and therefore very
hard to optimize or compute.
Our plan is first of all to find an efficient methodology for optimizing the measure using the
dynamic programming framework and convex optimization tools. As an important by-product of
finding the fundamental limits is finding coding schemes that achieves the limits. Second, we
plan to find new roles for directed information in communication, especially in networks with
bi-directional communication and in data compression with causal conditions. Third, encouraged by
a preliminary work on interpretation of directed information in economics and estimation theory,
we plan to show that directed information has interpretation in additional fields such as
statistical physics. We plan to show that there is duality relation between different fields with
causal constraints. Due to the duality insights and breakthroughs in one problem will lead to new
insights in other problems. Finally, we will apply directed information as a statistical
inference of causal dependence. We will show how to estimate and use the directed information
estimator to measure causal inference between two or more process. In particular, one of the
questions we plan to answer is the influence of industrial activities (e.g., $\text{CO}_2$
volumes) on the global warming.
Our main focus will be to develop a deeper understanding of the mathematical properties of
directed information, a process that is instrumental to each problem. Due to their theoretical
proximity and their interdisciplinary nature, progress in one problem will lead to new insights
in other problems. A common set of mathematical tools developed in
Max ERC Funding
1 224 600 €
Duration
Start date: 2013-08-01, End date: 2019-07-31
Project acronym E-MOBILE
Project Enhanced Modeling and Optimization of Batteries Incorporating Lithium-ion Elements
Researcher (PI) Mathieu Maurice Luisier
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Country Switzerland
Call Details Starting Grant (StG), PE7, ERC-2013-StG
Summary "Developing rechargeable batteries with larger storage capacity, higher output power, faster charge/discharge time, and longer calendar lifetime could significantly impact the economical and environmental future of the European Union. New generations of lithium-ion batteries (LIBs) based on nanostructured electrodes are perfect candidates to supply all-electrical vehicles and favor the usage of renewable energies instead of fossil fuels. Hence, the global LIB revenue is expected to expand from $11 billion in 2011 up to $50 billion in 2020. The goal of this project is therefore to provide an advanced simulation and optimization platform to design LIBs with improved performance and increase the competitiveness of Europe in this domain. The proposed computer aided design (CAD) tool must satisfy three key requirements in order to reach this ambitious objective: (i) computational efficiency, (ii) results accuracy, and (iii) automated predictability. Massively parallel computing has been identified as the enabling technology to handle the first requirement. The second one will be addressed by implementing a state-of-the-art device operation model relying on a multi-scale resolution of the battery electrodes, a detailed description of the electron and ion motions, a material parametrization derived from ab-initio quantum transport techniques, and a validation of the approach through comparisons with experimental measurements. Finally, to meet the last requirement, the operation model will be coupled to a genetic algorithm optimizer capable of automatically predicting the LIB configuration that best matches pre-defined performance targets. The resulting CAD tool will be released as an open source package so that the entire battery community can benefit from it."
Summary
"Developing rechargeable batteries with larger storage capacity, higher output power, faster charge/discharge time, and longer calendar lifetime could significantly impact the economical and environmental future of the European Union. New generations of lithium-ion batteries (LIBs) based on nanostructured electrodes are perfect candidates to supply all-electrical vehicles and favor the usage of renewable energies instead of fossil fuels. Hence, the global LIB revenue is expected to expand from $11 billion in 2011 up to $50 billion in 2020. The goal of this project is therefore to provide an advanced simulation and optimization platform to design LIBs with improved performance and increase the competitiveness of Europe in this domain. The proposed computer aided design (CAD) tool must satisfy three key requirements in order to reach this ambitious objective: (i) computational efficiency, (ii) results accuracy, and (iii) automated predictability. Massively parallel computing has been identified as the enabling technology to handle the first requirement. The second one will be addressed by implementing a state-of-the-art device operation model relying on a multi-scale resolution of the battery electrodes, a detailed description of the electron and ion motions, a material parametrization derived from ab-initio quantum transport techniques, and a validation of the approach through comparisons with experimental measurements. Finally, to meet the last requirement, the operation model will be coupled to a genetic algorithm optimizer capable of automatically predicting the LIB configuration that best matches pre-defined performance targets. The resulting CAD tool will be released as an open source package so that the entire battery community can benefit from it."
Max ERC Funding
1 492 800 €
Duration
Start date: 2013-10-01, End date: 2018-09-30