Project acronym BIHSNAM
Project Bio-inspired Hierarchical Super Nanomaterials
Researcher (PI) Nicola Pugno
Host Institution (HI) UNIVERSITA DEGLI STUDI DI TRENTO
Country Italy
Call Details Starting Grant (StG), PE8, ERC-2011-StG_20101014
Summary "Nanomaterials such as carbon nanotubes or graphene sheets represent the future of material science, due to their potentially exceptional mechanical properties. One great drawback of all artificial materials, however, is the decrease of strength with increasing toughness, and viceversa. This problem is not encountered in many biological nanomaterials (e.g. spider silk, bone, nacre). Other biological materials display exceptional adhesion or damping properties, and can be self-cleaning or self-healing. The “secret” of biomaterials seems to lie in “hierarchy”: several levels can often be identified (2 in nacre, up to 7 in bone and dentine), from nano- to micro-scale.
The idea of this project is to combine Nature and Nanotechnology to design hierarchical composites with tailor made characteristics, optimized with respect to both strength and toughness, as well as materials with strong adhesion/easy detachment, smart damping, self-healing/-cleaning properties or controlled energy dissipation. For example, one possible objective is to design the “world’s toughest composite material”. The potential impact and importance of these goals on materials science, the high-tech industry and ultimately the quality of human life could be considerable.
In order to tackle such a challenging design process, the PI proposes to adopt ultimate nanomechanics theoretical tools corroborated by continuum or atomistic simulations, multi-scale numerical parametric simulations and Finite Element optimization procedures, starting from characterization experiments on biological- or nano-materials, from the macroscale to the nanoscale. Results from theoretical, numerical and experimental work packages will be applied to a specific case study in an engineering field of particular interest to demonstrate importance and feasibility, e.g. an airplane wing with a considerably enhanced fatigue resistance and reduced ice-layer adhesion, leading to a 10 fold reduction in wasted fuel."
Summary
"Nanomaterials such as carbon nanotubes or graphene sheets represent the future of material science, due to their potentially exceptional mechanical properties. One great drawback of all artificial materials, however, is the decrease of strength with increasing toughness, and viceversa. This problem is not encountered in many biological nanomaterials (e.g. spider silk, bone, nacre). Other biological materials display exceptional adhesion or damping properties, and can be self-cleaning or self-healing. The “secret” of biomaterials seems to lie in “hierarchy”: several levels can often be identified (2 in nacre, up to 7 in bone and dentine), from nano- to micro-scale.
The idea of this project is to combine Nature and Nanotechnology to design hierarchical composites with tailor made characteristics, optimized with respect to both strength and toughness, as well as materials with strong adhesion/easy detachment, smart damping, self-healing/-cleaning properties or controlled energy dissipation. For example, one possible objective is to design the “world’s toughest composite material”. The potential impact and importance of these goals on materials science, the high-tech industry and ultimately the quality of human life could be considerable.
In order to tackle such a challenging design process, the PI proposes to adopt ultimate nanomechanics theoretical tools corroborated by continuum or atomistic simulations, multi-scale numerical parametric simulations and Finite Element optimization procedures, starting from characterization experiments on biological- or nano-materials, from the macroscale to the nanoscale. Results from theoretical, numerical and experimental work packages will be applied to a specific case study in an engineering field of particular interest to demonstrate importance and feasibility, e.g. an airplane wing with a considerably enhanced fatigue resistance and reduced ice-layer adhesion, leading to a 10 fold reduction in wasted fuel."
Max ERC Funding
1 004 400 €
Duration
Start date: 2012-01-01, End date: 2016-12-31
Project acronym CA2PVM
Project Multi-field and multi-scale Computational Approach to design and durability of PhotoVoltaic Modules
Researcher (PI) Marco Paggi
Host Institution (HI) SCUOLA IMT (ISTITUZIONI, MERCATI, TECNOLOGIE) ALTI STUDI DI LUCCA
Country Italy
Call Details Starting Grant (StG), PE8, ERC-2012-StG_20111012
Summary "Photovoltaics (PV) based on Silicon (Si) semiconductors is one the most growing technology in the World for renewable, sustainable, non-polluting, widely available clean energy sources. Theoretical and applied research aims at increasing the conversion efficiency of PV modules and their lifetime. The Si crystalline microstructure has an important role on both issues. Grain boundaries introduce additional resistance and reduce the conversion efficiency. Moreover, they are prone to microcracking, thus influencing the lifetime. At present, the existing standard qualification tests are not sufficient to provide a quantitative definition of lifetime, since all the possible failure mechanisms are not accounted for. In this proposal, an innovative computational approach to design and durability assessment of PV modules is put forward. The aim is to complement real tests by virtual (numerical) simulations. To achieve a predictive stage, a challenging multi-field (multi-physics) computational approach is proposed, coupling the nonlinear elastic field, the thermal field and the electric field. To model real PV modules, an adaptive multi-scale and multi-field strategy will be proposed by introducing error indicators based on the gradients of the involved fields. This numerical approach will be applied to determine the upper bound to the probability of failure of the system. This statistical assessment will involve an optimization analysis that will be efficiently handled by a Mathematica-based hybrid symbolic-numerical framework. Standard and non-standard experimental testing on Si cells and PV modules will also be performed to complement and validate the numerical approach. The new methodology based on the challenging integration of advanced physical and mathematical modelling, innovative computational methods and non-standard experimental techniques is expected to have a significant impact on the design, qualification and lifetime assessment of complex PV systems."
Summary
"Photovoltaics (PV) based on Silicon (Si) semiconductors is one the most growing technology in the World for renewable, sustainable, non-polluting, widely available clean energy sources. Theoretical and applied research aims at increasing the conversion efficiency of PV modules and their lifetime. The Si crystalline microstructure has an important role on both issues. Grain boundaries introduce additional resistance and reduce the conversion efficiency. Moreover, they are prone to microcracking, thus influencing the lifetime. At present, the existing standard qualification tests are not sufficient to provide a quantitative definition of lifetime, since all the possible failure mechanisms are not accounted for. In this proposal, an innovative computational approach to design and durability assessment of PV modules is put forward. The aim is to complement real tests by virtual (numerical) simulations. To achieve a predictive stage, a challenging multi-field (multi-physics) computational approach is proposed, coupling the nonlinear elastic field, the thermal field and the electric field. To model real PV modules, an adaptive multi-scale and multi-field strategy will be proposed by introducing error indicators based on the gradients of the involved fields. This numerical approach will be applied to determine the upper bound to the probability of failure of the system. This statistical assessment will involve an optimization analysis that will be efficiently handled by a Mathematica-based hybrid symbolic-numerical framework. Standard and non-standard experimental testing on Si cells and PV modules will also be performed to complement and validate the numerical approach. The new methodology based on the challenging integration of advanced physical and mathematical modelling, innovative computational methods and non-standard experimental techniques is expected to have a significant impact on the design, qualification and lifetime assessment of complex PV systems."
Max ERC Funding
1 483 980 €
Duration
Start date: 2012-12-01, End date: 2017-11-30
Project acronym CARDIOEPIGEN
Project Epigenetics and microRNAs in Myocardial Function and Disease
Researcher (PI) Gianluigi Condorelli
Host Institution (HI) HUMANITAS MIRASOLE SPA
Country Italy
Call Details Advanced Grant (AdG), LS4, ERC-2011-ADG_20110310
Summary Heart failure (HF) is the ultimate outcome of many cardiovascular diseases. Re-expression of fetal genes in the adult heart contributes to development of HF. Two mechanisms involved in the control of gene expression are epigenetics and microRNAs (miRs). We propose a project on epigenetic and miR-mediated mechanisms leading to HF.
Epigenetics refers to heritable modification of DNA and histones that does not modify the genetic code. Depending on the type of modification and on the site affected, these chemical changes up- or down-regulate transcription of specific genes. Despite it being a major player in gene regulation, epigenetics has been only partly investigated in HF. miRs are regulatory RNAs that target mRNAs for inhibition. Dysregulation of the cardiac miR signature occurs in HF. miR expression may itself be under epigenetic control, constituting a miR-epigenetic regulatory network. To our knowledge, this possibility has not been studied yet.
Our specific hypothesis is that the profile of DNA/histone methylation and the cross-talk between epigenetic enzymes and miRs have fundamental roles in defining the characteristics of cells during cardiac development and that the dysregulation of these processes determines the deleterious nature of the stressed heart’s gene programme. We will test this first through a genome-wide study of DNA/histone methylation to generate maps of the main methylation modifications occurring in the genome of cardiac cells treated with a pro-hypertrophy regulator and of a HF model. We will then investigate the role of epigenetic enzymes deemed important in HF, through the generation and study of knockout mice models. Finally, we will test the possible therapeutic potential of modulating epigenetic genes.
We hope to further understand the pathological mechanisms leading to HF and to generate data instrumental to the development of diagnostic and therapeutic strategies for this disease.
Summary
Heart failure (HF) is the ultimate outcome of many cardiovascular diseases. Re-expression of fetal genes in the adult heart contributes to development of HF. Two mechanisms involved in the control of gene expression are epigenetics and microRNAs (miRs). We propose a project on epigenetic and miR-mediated mechanisms leading to HF.
Epigenetics refers to heritable modification of DNA and histones that does not modify the genetic code. Depending on the type of modification and on the site affected, these chemical changes up- or down-regulate transcription of specific genes. Despite it being a major player in gene regulation, epigenetics has been only partly investigated in HF. miRs are regulatory RNAs that target mRNAs for inhibition. Dysregulation of the cardiac miR signature occurs in HF. miR expression may itself be under epigenetic control, constituting a miR-epigenetic regulatory network. To our knowledge, this possibility has not been studied yet.
Our specific hypothesis is that the profile of DNA/histone methylation and the cross-talk between epigenetic enzymes and miRs have fundamental roles in defining the characteristics of cells during cardiac development and that the dysregulation of these processes determines the deleterious nature of the stressed heart’s gene programme. We will test this first through a genome-wide study of DNA/histone methylation to generate maps of the main methylation modifications occurring in the genome of cardiac cells treated with a pro-hypertrophy regulator and of a HF model. We will then investigate the role of epigenetic enzymes deemed important in HF, through the generation and study of knockout mice models. Finally, we will test the possible therapeutic potential of modulating epigenetic genes.
We hope to further understand the pathological mechanisms leading to HF and to generate data instrumental to the development of diagnostic and therapeutic strategies for this disease.
Max ERC Funding
2 500 000 €
Duration
Start date: 2012-10-01, End date: 2018-09-30
Project acronym DASTCO
Project Developing and Applying Structural Techniques for Combinatorial Objects
Researcher (PI) Paul Joseph Wollan
Host Institution (HI) UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Country Italy
Call Details Starting Grant (StG), PE1, ERC-2011-StG_20101014
Summary The proposed project will tackle a series of fundamental problems in discrete mathematics by studying labeled graphs, a generalization of graphs which readily apply to problems beyond graph theory. To achieve these goals will require both developing new graph theoretic tools and techniques as well as further expounding upon known methodologies.
The specific problems to be studied can be grouped into a series of semi-independent projects. The first focuses on signed graphs with applications to a conjecture of Seymour concerning 1-flowing binary matroids and a related conjecture on the intregality of polyhedra defined by a class of binary matrices. The second proposes to develop a theory of minors for directed graphs. Finally, the project looks at topological questions arising from graphs embedding in a surface and the classic problem of efficiently identifying the trivial knot. The range of topics considered will lead to the development of tools and techniques applicable to questions in discrete mathematics beyond those under direct study.
The project will create a research group incorporating graduate students and post doctoral researchers lead by the PI. Each area to be studied offers the potential for ground-breaking results at the same time offering numerous intermediate opportunities for scientific progress.
Summary
The proposed project will tackle a series of fundamental problems in discrete mathematics by studying labeled graphs, a generalization of graphs which readily apply to problems beyond graph theory. To achieve these goals will require both developing new graph theoretic tools and techniques as well as further expounding upon known methodologies.
The specific problems to be studied can be grouped into a series of semi-independent projects. The first focuses on signed graphs with applications to a conjecture of Seymour concerning 1-flowing binary matroids and a related conjecture on the intregality of polyhedra defined by a class of binary matrices. The second proposes to develop a theory of minors for directed graphs. Finally, the project looks at topological questions arising from graphs embedding in a surface and the classic problem of efficiently identifying the trivial knot. The range of topics considered will lead to the development of tools and techniques applicable to questions in discrete mathematics beyond those under direct study.
The project will create a research group incorporating graduate students and post doctoral researchers lead by the PI. Each area to be studied offers the potential for ground-breaking results at the same time offering numerous intermediate opportunities for scientific progress.
Max ERC Funding
850 000 €
Duration
Start date: 2011-12-01, End date: 2017-09-30
Project acronym DENOVOSTEM
Project DE NOVO GENERATION OF SOMATIC STEM CELLS: REGULATION AND MECHANISMS OF CELL PLASTICITY
Researcher (PI) Stefano Piccolo
Host Institution (HI) UNIVERSITA DEGLI STUDI DI PADOVA
Country Italy
Call Details Advanced Grant (AdG), LS4, ERC-2014-ADG
Summary The possibility to artificially induce and expand in vitro tissue-specific stem cells (SCs) is an important goal for regenerative medicine, to understand organ physiology, for in vitro modeling of human diseases and many other applications. Here we found that this goal can be achieved in the culture dish by transiently inducing expression of YAP or TAZ - nuclear effectors of the Hippo and biomechanical pathways - into primary/terminally differentiated cells of distinct tissue origins. Moreover, YAP/TAZ are essential endogenous factors that preserve ex-vivo naturally arising SCs of distinct tissues.
In this grant, we aim to gain insights into YAP/TAZ molecular networks (upstream regulators and downstream targets) involved in somatic SC reprogramming and SC identity. Our studies will entail the identification of the genetic networks and epigenetic changes controlled by YAP/TAZ during cell de-differentiation and the re-acquisition of SC-traits in distinct cell types. We will also investigate upstream inputs establishing YAP/TAZ activity, with particular emphasis on biomechanical and cytoskeletal cues that represent overarching regulators of YAP/TAZ in tissues.
For many tumors, it appears that acquisition of an immature, stem-like state is a prerequisite for tumor progression and an early step in oncogene-mediated transformation. YAP/TAZ activation is widespread in human tumors. However, a connection between YAP/TAZ and oncogene-induced cell plasticity has never been investigated. We will also pursue some intriguing preliminary results and investigate how oncogenes and chromatin remodelers may link to cell mechanics, and the plasticity of the differentiated and SC states by controlling YAP/TAZ.
In sum, this research should advance our understanding of the cellular and molecular basis underpinning organ growth, tissue regeneration and tumor initiation.
Summary
The possibility to artificially induce and expand in vitro tissue-specific stem cells (SCs) is an important goal for regenerative medicine, to understand organ physiology, for in vitro modeling of human diseases and many other applications. Here we found that this goal can be achieved in the culture dish by transiently inducing expression of YAP or TAZ - nuclear effectors of the Hippo and biomechanical pathways - into primary/terminally differentiated cells of distinct tissue origins. Moreover, YAP/TAZ are essential endogenous factors that preserve ex-vivo naturally arising SCs of distinct tissues.
In this grant, we aim to gain insights into YAP/TAZ molecular networks (upstream regulators and downstream targets) involved in somatic SC reprogramming and SC identity. Our studies will entail the identification of the genetic networks and epigenetic changes controlled by YAP/TAZ during cell de-differentiation and the re-acquisition of SC-traits in distinct cell types. We will also investigate upstream inputs establishing YAP/TAZ activity, with particular emphasis on biomechanical and cytoskeletal cues that represent overarching regulators of YAP/TAZ in tissues.
For many tumors, it appears that acquisition of an immature, stem-like state is a prerequisite for tumor progression and an early step in oncogene-mediated transformation. YAP/TAZ activation is widespread in human tumors. However, a connection between YAP/TAZ and oncogene-induced cell plasticity has never been investigated. We will also pursue some intriguing preliminary results and investigate how oncogenes and chromatin remodelers may link to cell mechanics, and the plasticity of the differentiated and SC states by controlling YAP/TAZ.
In sum, this research should advance our understanding of the cellular and molecular basis underpinning organ growth, tissue regeneration and tumor initiation.
Max ERC Funding
2 498 934 €
Duration
Start date: 2015-09-01, End date: 2021-08-31
Project acronym DEPTH
Project DEsigning new Paths in The differentiation Hyperspace
Researcher (PI) Giovanni Cesareni
Host Institution (HI) UNIVERSITA DEGLI STUDI DI ROMA TOR VERGATA
Country Italy
Call Details Advanced Grant (AdG), LS2, ERC-2012-ADG_20120314
Summary The adult human organism contains heterogeneous reservoirs of pluripotent stem cells characterized by a diversified differentiation potential. Understanding their biology at a system level would advance our ability to selectively activate and control their differentiation potential. Aside from the basic implications this would represent a substantial progress in regenerative medicine by providing a rational framework for using small molecules to control cell trans-determination and reprogramming.
Here we propose a combined experimental and modelling approach to assemble a predictive model of mesoderm stem cell differentiation. Different cell states are identified by a vector in the differentiation hyperspace, the coordinates of the vector being the activation levels of a large number of nodes of a logic model linking the cell signalling network to the transcription regulatory network.
The premise of this proposal is that differentiation is equivalent to rewiring the cell regulatory network as a consequence of induced perturbation of the gene expression program. This process can be rationally controlled by perturbing specific nodes of the signalling network that in turn control transcription factor activation. We will develop this novel strategy using the mesoangioblast ex vivo differentiation system. Mesoangioblasts are one of the many different types of mesoderm stem/progenitor cells that exhibit myogenic potential. Ex vivo, they readily differentiate into striated muscle. However, under appropriate conditions they can also differentiate, into smooth muscle and adipocytes, albeit less efficiently. We will start by assembling, training and optimizing different predictive models for the undifferentiated mesoangioblast. Next by a combination of experiments and modelling approaches we will learn how, by perturbing the signalling models with different inhibitors and activators we can rewire the cell networks to induce trans-determination or reprogramming.
Summary
The adult human organism contains heterogeneous reservoirs of pluripotent stem cells characterized by a diversified differentiation potential. Understanding their biology at a system level would advance our ability to selectively activate and control their differentiation potential. Aside from the basic implications this would represent a substantial progress in regenerative medicine by providing a rational framework for using small molecules to control cell trans-determination and reprogramming.
Here we propose a combined experimental and modelling approach to assemble a predictive model of mesoderm stem cell differentiation. Different cell states are identified by a vector in the differentiation hyperspace, the coordinates of the vector being the activation levels of a large number of nodes of a logic model linking the cell signalling network to the transcription regulatory network.
The premise of this proposal is that differentiation is equivalent to rewiring the cell regulatory network as a consequence of induced perturbation of the gene expression program. This process can be rationally controlled by perturbing specific nodes of the signalling network that in turn control transcription factor activation. We will develop this novel strategy using the mesoangioblast ex vivo differentiation system. Mesoangioblasts are one of the many different types of mesoderm stem/progenitor cells that exhibit myogenic potential. Ex vivo, they readily differentiate into striated muscle. However, under appropriate conditions they can also differentiate, into smooth muscle and adipocytes, albeit less efficiently. We will start by assembling, training and optimizing different predictive models for the undifferentiated mesoangioblast. Next by a combination of experiments and modelling approaches we will learn how, by perturbing the signalling models with different inhibitors and activators we can rewire the cell networks to induce trans-determination or reprogramming.
Max ERC Funding
2 639 804 €
Duration
Start date: 2013-04-01, End date: 2018-09-30
Project acronym ECONOMICHISTORY
Project Contracts, Institutions, and Markets in Historical Perspective
Researcher (PI) Maristella Botticini
Host Institution (HI) UNIVERSITA COMMERCIALE LUIGI BOCCONI
Country Italy
Call Details Advanced Grant (AdG), SH1, ERC-2011-ADG_20110406
Summary A growing number of scholars are studying the interactions between cultural values, social and religious norms, institutions, and economic outcomes. The rise of markets, as well as the development of contracts that enable mutually beneficial transactions among agents, are one of the central themes in the literature on long-term economic growth.
This project contributes to both strands of literature by studying the invention and development of marine insurance contracts in medieval Italy and their subsequent spread all over Europe. It brings the economic approach to previously unexplored historical data housed in archives in Florence, Genoa, Pisa, Palermo, Prato, and Venice.
The interest in the historical origin and development of marine insurance contracts is twofold. First, marine contracts are the “parents” of all the other insurance contracts (e.g., fire, life, health, etc) that were developed in subsequent centuries to cope with risk. Second, their invention, as well as other innovations in business practices in the Middle Ages, contributed to the growth of international trade in subsequent centuries.
The key novelty of the project stems from combining contract theory with information from thousands of insurance contracts between 1300 and 1550 to explain why marine insurance developed in medieval Italy and then Europe, to study the empirical determinants of insurance contracts in medieval Italy, and to analyze how medieval merchants coped with adverse selection and moral hazard problems.
Most scholars agree that marine insurance was unknown to the ancient world. Italian merchants developed the first insurance contracts and other innovations in business practices during and in the aftermath of the Commercial Revolution that swept Europe from roughly 1275 to about 1325. Marine insurance contracts may have developed as a spin-off of earlier contracts which shifted the risk from one party to another (e.g., sea loan, insurance loan). Alternatively, in the early or mid-fourteenth century, sedentary merchants that provided the capital to travelling merchants invented a new type of contract, when they discovered that the existing contract forms had shortcomings in transferring and dividing sea risk.
A sample of the questions that this project will address includes:
- Why did insurance contracts and a marine insurance market first develop in medieval times and not earlier despite merchants had to deal with the risks associated with maritime trade since antiquity?
- What were the empirical determinants of contract form (e.g., insurance premium) in the medieval insurance market?
- How did medieval merchants compute insurance premia without having the formal notion of probability that was developed only in the mid-seventeenth century?
- How did medieval merchants cope with the typical problems that plague insurance markets, i.e., adverse selection and moral hazard?
Summary
A growing number of scholars are studying the interactions between cultural values, social and religious norms, institutions, and economic outcomes. The rise of markets, as well as the development of contracts that enable mutually beneficial transactions among agents, are one of the central themes in the literature on long-term economic growth.
This project contributes to both strands of literature by studying the invention and development of marine insurance contracts in medieval Italy and their subsequent spread all over Europe. It brings the economic approach to previously unexplored historical data housed in archives in Florence, Genoa, Pisa, Palermo, Prato, and Venice.
The interest in the historical origin and development of marine insurance contracts is twofold. First, marine contracts are the “parents” of all the other insurance contracts (e.g., fire, life, health, etc) that were developed in subsequent centuries to cope with risk. Second, their invention, as well as other innovations in business practices in the Middle Ages, contributed to the growth of international trade in subsequent centuries.
The key novelty of the project stems from combining contract theory with information from thousands of insurance contracts between 1300 and 1550 to explain why marine insurance developed in medieval Italy and then Europe, to study the empirical determinants of insurance contracts in medieval Italy, and to analyze how medieval merchants coped with adverse selection and moral hazard problems.
Most scholars agree that marine insurance was unknown to the ancient world. Italian merchants developed the first insurance contracts and other innovations in business practices during and in the aftermath of the Commercial Revolution that swept Europe from roughly 1275 to about 1325. Marine insurance contracts may have developed as a spin-off of earlier contracts which shifted the risk from one party to another (e.g., sea loan, insurance loan). Alternatively, in the early or mid-fourteenth century, sedentary merchants that provided the capital to travelling merchants invented a new type of contract, when they discovered that the existing contract forms had shortcomings in transferring and dividing sea risk.
A sample of the questions that this project will address includes:
- Why did insurance contracts and a marine insurance market first develop in medieval times and not earlier despite merchants had to deal with the risks associated with maritime trade since antiquity?
- What were the empirical determinants of contract form (e.g., insurance premium) in the medieval insurance market?
- How did medieval merchants compute insurance premia without having the formal notion of probability that was developed only in the mid-seventeenth century?
- How did medieval merchants cope with the typical problems that plague insurance markets, i.e., adverse selection and moral hazard?
Max ERC Funding
1 113 900 €
Duration
Start date: 2012-07-01, End date: 2018-06-30
Project acronym ENLIGHT
Project The interplay between quantum coherence and environment in the photosynthetic electronic energy transfer and light-harvesting: a quantum chemical picture
Researcher (PI) Benedetta Mennucci
Host Institution (HI) UNIVERSITA DI PISA
Country Italy
Call Details Starting Grant (StG), PE4, ERC-2011-StG_20101014
Summary Photon energy absorption and electronic energy transfer (EET) represents the first fundamental step in both natural and artificial light-harvesting systems. The most striking example is photosynthesis, in which plants, algae and bacteria are able to transfer the absorbed light to the reaction centers in proteins with almost 100% quantum efficiency. Recent two-dimensional spectroscopic measurements suggest that the role of the environment (a protein or a given embedding supramolecular architecture) is fundamental in determining both the dynamics and the efficiency of the process. What is still missing in order to fully understand and characterize EET is a new theoretical and computational approach which can reproduce the microscopic dynamics of the process based on an accurate description of the playing actors, i.e. the transferring pigments and the environment. Such an approach is a formidable challenge due to the large network of interactions which couples all the parts and makes the dynamics of the process a complex competition of random fluctuations and coherences. Only a strategy based upon an integration of computational models with different length and time scales can achieve the required completeness of the description. This project aims at achieving such an integration by developing completely new theoretical and computational tools based on the merging of quantum mechanical methods, polarizable force fields and dielectric continuum models. Such a strategy in which the fundamental effects of polarization between the pigments and the environment will be accounted for in a dynamically coupled way will allow to simulate the full dynamic process of light harvesting and energy transfer in complex multichromophoric supramolecular systems.
Summary
Photon energy absorption and electronic energy transfer (EET) represents the first fundamental step in both natural and artificial light-harvesting systems. The most striking example is photosynthesis, in which plants, algae and bacteria are able to transfer the absorbed light to the reaction centers in proteins with almost 100% quantum efficiency. Recent two-dimensional spectroscopic measurements suggest that the role of the environment (a protein or a given embedding supramolecular architecture) is fundamental in determining both the dynamics and the efficiency of the process. What is still missing in order to fully understand and characterize EET is a new theoretical and computational approach which can reproduce the microscopic dynamics of the process based on an accurate description of the playing actors, i.e. the transferring pigments and the environment. Such an approach is a formidable challenge due to the large network of interactions which couples all the parts and makes the dynamics of the process a complex competition of random fluctuations and coherences. Only a strategy based upon an integration of computational models with different length and time scales can achieve the required completeness of the description. This project aims at achieving such an integration by developing completely new theoretical and computational tools based on the merging of quantum mechanical methods, polarizable force fields and dielectric continuum models. Such a strategy in which the fundamental effects of polarization between the pigments and the environment will be accounted for in a dynamically coupled way will allow to simulate the full dynamic process of light harvesting and energy transfer in complex multichromophoric supramolecular systems.
Max ERC Funding
1 300 000 €
Duration
Start date: 2011-09-01, End date: 2016-08-31
Project acronym ENSURE
Project Exploring the New Science and engineering unveiled by Ultraintense ultrashort Radiation interaction with mattEr
Researcher (PI) Matteo Passoni
Host Institution (HI) POLITECNICO DI MILANO
Country Italy
Call Details Consolidator Grant (CoG), PE8, ERC-2014-CoG
Summary With the ENSURE project I aim at attaining ground-breaking results in the field of superintense laser-driven ion acceleration, proposing a multidisciplinary research program in which theoretical, numerical and experimental research will be coherently developed in a team integrating in an unprecedented way advanced expertise from materials engineering and nanotechnology, laser-plasma physics, computational science. The aim will be to bring this topic from the realm of fundamental basic science into a subject having realistic engineering applications.
The discovery in 2000 of brilliant, multi-MeV, collimated ion sources from targets irradiated by intense laser pulses stimulated great interest worldwide, due to the ultra-compact spatial scale of the accelerator and ion beam properties. The laser-target system provides unique appealing features to fundamental physics which can be studied in a small lab. At the same time, laser-ion beams could have future potential in many technological areas. This is boosting the development of new labs and facilities all over Europe, but to support these efforts, crucial challenges need to be faced to make these applications a reality.
The goals of ENSURE are: i) design and production of nanoengineered targets, with properties tailored to achieve optimized ion acceleration regimes. This will be pursued exploiting advanced techniques of material science & nanotechnology ii) design of laser-ion beams for novel, key applications in nuclear and materials engineering iii) realization of engineering-oriented ion acceleration experiments, in advanced facilities iv) synergic development of all the required theoretical support for i,ii,iii).
The results of the project can determine a unique impact in the research on laser-driven ion acceleration in Europe, providing new directions to support the attainment, in the next future, of concrete applications of great societal relevance, in medical, energy and materials areas.
Summary
With the ENSURE project I aim at attaining ground-breaking results in the field of superintense laser-driven ion acceleration, proposing a multidisciplinary research program in which theoretical, numerical and experimental research will be coherently developed in a team integrating in an unprecedented way advanced expertise from materials engineering and nanotechnology, laser-plasma physics, computational science. The aim will be to bring this topic from the realm of fundamental basic science into a subject having realistic engineering applications.
The discovery in 2000 of brilliant, multi-MeV, collimated ion sources from targets irradiated by intense laser pulses stimulated great interest worldwide, due to the ultra-compact spatial scale of the accelerator and ion beam properties. The laser-target system provides unique appealing features to fundamental physics which can be studied in a small lab. At the same time, laser-ion beams could have future potential in many technological areas. This is boosting the development of new labs and facilities all over Europe, but to support these efforts, crucial challenges need to be faced to make these applications a reality.
The goals of ENSURE are: i) design and production of nanoengineered targets, with properties tailored to achieve optimized ion acceleration regimes. This will be pursued exploiting advanced techniques of material science & nanotechnology ii) design of laser-ion beams for novel, key applications in nuclear and materials engineering iii) realization of engineering-oriented ion acceleration experiments, in advanced facilities iv) synergic development of all the required theoretical support for i,ii,iii).
The results of the project can determine a unique impact in the research on laser-driven ion acceleration in Europe, providing new directions to support the attainment, in the next future, of concrete applications of great societal relevance, in medical, energy and materials areas.
Max ERC Funding
1 887 500 €
Duration
Start date: 2015-09-01, End date: 2020-08-31
Project acronym ESEMO
Project Estimation of General Equilibrium Labor Market Search Models
Researcher (PI) Claudio Michelacci
Host Institution (HI) Istituto Einaudi per l'Economia e la Finanza
Country Italy
Call Details Advanced Grant (AdG), SH1, ERC-2011-ADG_20110406
Summary "My proposal deals with the estimation of Dynamic Stochastic General Equilibrium models with important heterogeneity at the level of firms and households and frictions in the labor market. In the estimation I will exploit mixed frequency data (monthly, quarterly and annual) available in different countries. I will also efficiently take care of possible missing values in the data. This might require developing new estimation techniques. The contribution of the project will be in dealing with important empirically relevant questions. I will address issues that lie at the boundaries between labour economics, business cycle analysis, monetary economics, finance, and growth. In particular I will answer the following questions:
1. How are business cycle costs distributed across different individuals? How costly is involuntary unemployment?
2. Which view best characterizes the process of technology adoption at business cycle frequencies? In particular does Schumpeterian creative destruction play a role in characterizing the adoption of new technologies over the business cycle?
3. What are the welfare costs of the search inefficiencies present in the process of worker reallocation over the business cycle?
4. What are the sources of business cycle fluctuations? And in particular are technology shocks an important driving force?
5. What are the contribution of the job separation rate and the importance of the intensive margin relative to the extensive margin in characterizing aggregate labor market fluctuations?
6. What are the main differences in the cyclical properties of the labor market across the OECD? And which institutions explain these differences?
7. What are the effects of financial sector shocks? And why has the Beveridge curve shifted during the last world wide recession?
8. How policy should respond to the large variation in unemployment risk that individual workers face over their life cycle?"
Summary
"My proposal deals with the estimation of Dynamic Stochastic General Equilibrium models with important heterogeneity at the level of firms and households and frictions in the labor market. In the estimation I will exploit mixed frequency data (monthly, quarterly and annual) available in different countries. I will also efficiently take care of possible missing values in the data. This might require developing new estimation techniques. The contribution of the project will be in dealing with important empirically relevant questions. I will address issues that lie at the boundaries between labour economics, business cycle analysis, monetary economics, finance, and growth. In particular I will answer the following questions:
1. How are business cycle costs distributed across different individuals? How costly is involuntary unemployment?
2. Which view best characterizes the process of technology adoption at business cycle frequencies? In particular does Schumpeterian creative destruction play a role in characterizing the adoption of new technologies over the business cycle?
3. What are the welfare costs of the search inefficiencies present in the process of worker reallocation over the business cycle?
4. What are the sources of business cycle fluctuations? And in particular are technology shocks an important driving force?
5. What are the contribution of the job separation rate and the importance of the intensive margin relative to the extensive margin in characterizing aggregate labor market fluctuations?
6. What are the main differences in the cyclical properties of the labor market across the OECD? And which institutions explain these differences?
7. What are the effects of financial sector shocks? And why has the Beveridge curve shifted during the last world wide recession?
8. How policy should respond to the large variation in unemployment risk that individual workers face over their life cycle?"
Max ERC Funding
1 659 169 €
Duration
Start date: 2012-03-01, End date: 2017-02-28