Project acronym 1stProposal
Project An alternative development of analytic number theory and applications
Researcher (PI) ANDREW Granville
Host Institution (HI) UNIVERSITY COLLEGE LONDON
Country United Kingdom
Call Details Advanced Grant (AdG), PE1, ERC-2014-ADG
Summary The traditional (Riemann) approach to analytic number theory uses the zeros of zeta functions. This requires the associated multiplicative function, say f(n), to have special enough properties that the associated Dirichlet series may be analytically continued. In this proposal we continue to develop an approach which requires less of the multiplicative function, linking the original question with the mean value of f. Such techniques have been around for a long time but have generally been regarded as “ad hoc”. In this project we aim to show that one can develop a coherent approach to the whole subject, not only reproving all of the old results, but also many new ones that appear inaccessible to traditional methods.
Our first goal is to complete a monograph yielding a reworking of all the classical theory using these new methods and then to push forward in new directions. The most important is to extend these techniques to GL(n) L-functions, which we hope will now be feasible having found the correct framework in which to proceed. Since we rarely know how to analytically continue such L-functions this could be of great benefit to the subject.
We are developing the large sieve so that it can be used for individual moduli, and will determine a strong form of that. Also a new method to give asymptotics for mean values, when they are not too small.
We wish to incorporate techniques of analytic number theory into our theory, for example recent advances on mean values of Dirichlet polynomials. Also the recent breakthroughs on the sieve suggest strong links that need further exploration.
Additive combinatorics yields important results in many areas. There are strong analogies between its results, and those for multiplicative functions, especially in large value spectrum theory, and its applications. We hope to develop these further.
Much of this is joint work with K Soundararajan of Stanford University.
Summary
The traditional (Riemann) approach to analytic number theory uses the zeros of zeta functions. This requires the associated multiplicative function, say f(n), to have special enough properties that the associated Dirichlet series may be analytically continued. In this proposal we continue to develop an approach which requires less of the multiplicative function, linking the original question with the mean value of f. Such techniques have been around for a long time but have generally been regarded as “ad hoc”. In this project we aim to show that one can develop a coherent approach to the whole subject, not only reproving all of the old results, but also many new ones that appear inaccessible to traditional methods.
Our first goal is to complete a monograph yielding a reworking of all the classical theory using these new methods and then to push forward in new directions. The most important is to extend these techniques to GL(n) L-functions, which we hope will now be feasible having found the correct framework in which to proceed. Since we rarely know how to analytically continue such L-functions this could be of great benefit to the subject.
We are developing the large sieve so that it can be used for individual moduli, and will determine a strong form of that. Also a new method to give asymptotics for mean values, when they are not too small.
We wish to incorporate techniques of analytic number theory into our theory, for example recent advances on mean values of Dirichlet polynomials. Also the recent breakthroughs on the sieve suggest strong links that need further exploration.
Additive combinatorics yields important results in many areas. There are strong analogies between its results, and those for multiplicative functions, especially in large value spectrum theory, and its applications. We hope to develop these further.
Much of this is joint work with K Soundararajan of Stanford University.
Max ERC Funding
2 011 742 €
Duration
Start date: 2015-08-01, End date: 2020-07-31
Project acronym 2-NanoSi
Project Ratiometric FRET Based Nanosensors for Trypsin Related Human Recessive Diseases
Researcher (PI) Emilio Jose Palomares Gil
Host Institution (HI) FUNDACIO PRIVADA INSTITUT CATALA D'INVESTIGACIO QUIMICA
Country Spain
Call Details Proof of Concept (PoC), PC1, ERC-2014-PoC
Summary The project aims to create a demo system for cost effective, non-invasive device for rapid detection of cystic fibrosis in
humans.
The detection of human recessive diseases has been dominated by the use of fluorescent biomarkers, based on organic
dyes, helping researchers to study and analyse gene expression, cell cycle, and enzymatic activity. Among several
proteolytic enzymes, trypsin has attracted much attention, as it is a target in the study of various important human recessive
diseases including, for example, cystic fibrosis (CF).
We present herein two colour encoded silica nanospheres (2nanoSi) for the fluorescence quantitative ratiometric
determination of cystic in humans. Current detection technologies for cystic fibrosis diagnosis are slow, costly and suffer
from false positives. The 2nanoSi proved to be a fast (minutes), a single-step and with two times higher sensitivity than the
state-of-the-art biomarkers based sensors for cystic fibrosis, allowing the quantification of trypsin concentrations in a wide
range (25-350 μg/L). Moreover, our approach can be used from the 4th day of life when the trypsin concentration is already
the same as in adults. Furthermore, as trypsin is directly related to the development of cystic fibrosis (CF), different human
phenotypes, i.e. normal (160-340 μg/L), CF homozygotic (0-90 μg/L), and CF heterozygotic (91-349 μg/L), respectively, can
be determined using our 2nanoSi nanospheres. We anticipate the 2nanoSi system to be a starting point for non-invasive,
easy-to-use and cost effective ratiometric fluorescence biomarker for recessive genetic diseases alike human cystic fibrosis.
Summary
The project aims to create a demo system for cost effective, non-invasive device for rapid detection of cystic fibrosis in
humans.
The detection of human recessive diseases has been dominated by the use of fluorescent biomarkers, based on organic
dyes, helping researchers to study and analyse gene expression, cell cycle, and enzymatic activity. Among several
proteolytic enzymes, trypsin has attracted much attention, as it is a target in the study of various important human recessive
diseases including, for example, cystic fibrosis (CF).
We present herein two colour encoded silica nanospheres (2nanoSi) for the fluorescence quantitative ratiometric
determination of cystic in humans. Current detection technologies for cystic fibrosis diagnosis are slow, costly and suffer
from false positives. The 2nanoSi proved to be a fast (minutes), a single-step and with two times higher sensitivity than the
state-of-the-art biomarkers based sensors for cystic fibrosis, allowing the quantification of trypsin concentrations in a wide
range (25-350 μg/L). Moreover, our approach can be used from the 4th day of life when the trypsin concentration is already
the same as in adults. Furthermore, as trypsin is directly related to the development of cystic fibrosis (CF), different human
phenotypes, i.e. normal (160-340 μg/L), CF homozygotic (0-90 μg/L), and CF heterozygotic (91-349 μg/L), respectively, can
be determined using our 2nanoSi nanospheres. We anticipate the 2nanoSi system to be a starting point for non-invasive,
easy-to-use and cost effective ratiometric fluorescence biomarker for recessive genetic diseases alike human cystic fibrosis.
Max ERC Funding
150 000 €
Duration
Start date: 2015-04-01, End date: 2016-09-30
Project acronym 20SComplexity
Project An integrative approach to uncover the multilevel regulation of 20S proteasome degradation
Researcher (PI) Michal Sharon
Host Institution (HI) WEIZMANN INSTITUTE OF SCIENCE
Country Israel
Call Details Starting Grant (StG), LS1, ERC-2014-STG
Summary For many years, the ubiquitin-26S proteasome degradation pathway was considered the primary route for proteasomal degradation. However, it is now becoming clear that proteins can also be targeted for degradation by a ubiquitin-independent mechanism mediated by the core 20S proteasome itself. Although initially believed to be limited to rare exceptions, degradation by the 20S proteasome is now understood to have a wide range of substrates, many of which are key regulatory proteins. Despite its importance, little is known about the mechanisms that control 20S proteasomal degradation, unlike the extensive knowledge acquired over the years concerning degradation by the 26S proteasome. Our overall aim is to reveal the multiple regulatory levels that coordinate the 20S proteasome degradation route.
To achieve this goal we will carry out a comprehensive research program characterizing three distinct levels of 20S proteasome regulation:
Intra-molecular regulation- Revealing the intrinsic molecular switch that activates the latent 20S proteasome.
Inter-molecular regulation- Identifying novel proteins that bind the 20S proteasome to regulate its activity and characterizing their mechanism of function.
Cellular regulatory networks- Unraveling the cellular cues and multiple pathways that influence 20S proteasome activity using a novel systematic and unbiased screening approach.
Our experimental strategy involves the combination of biochemical approaches with native mass spectrometry, cross-linking and fluorescence measurements, complemented by cell biology analyses and high-throughput screening. Such a multidisciplinary approach, integrating in vitro and in vivo findings, will likely provide the much needed knowledge on the 20S proteasome degradation route. When completed, we anticipate that this work will be part of a new paradigm – no longer perceiving the 20S proteasome mediated degradation as a simple and passive event but rather a tightly regulated and coordinated process.
Summary
For many years, the ubiquitin-26S proteasome degradation pathway was considered the primary route for proteasomal degradation. However, it is now becoming clear that proteins can also be targeted for degradation by a ubiquitin-independent mechanism mediated by the core 20S proteasome itself. Although initially believed to be limited to rare exceptions, degradation by the 20S proteasome is now understood to have a wide range of substrates, many of which are key regulatory proteins. Despite its importance, little is known about the mechanisms that control 20S proteasomal degradation, unlike the extensive knowledge acquired over the years concerning degradation by the 26S proteasome. Our overall aim is to reveal the multiple regulatory levels that coordinate the 20S proteasome degradation route.
To achieve this goal we will carry out a comprehensive research program characterizing three distinct levels of 20S proteasome regulation:
Intra-molecular regulation- Revealing the intrinsic molecular switch that activates the latent 20S proteasome.
Inter-molecular regulation- Identifying novel proteins that bind the 20S proteasome to regulate its activity and characterizing their mechanism of function.
Cellular regulatory networks- Unraveling the cellular cues and multiple pathways that influence 20S proteasome activity using a novel systematic and unbiased screening approach.
Our experimental strategy involves the combination of biochemical approaches with native mass spectrometry, cross-linking and fluorescence measurements, complemented by cell biology analyses and high-throughput screening. Such a multidisciplinary approach, integrating in vitro and in vivo findings, will likely provide the much needed knowledge on the 20S proteasome degradation route. When completed, we anticipate that this work will be part of a new paradigm – no longer perceiving the 20S proteasome mediated degradation as a simple and passive event but rather a tightly regulated and coordinated process.
Max ERC Funding
1 500 000 €
Duration
Start date: 2015-04-01, End date: 2020-03-31
Project acronym 2D-Ink
Project Ink-Jet printed supercapacitors based on 2D nanomaterials.
Researcher (PI) Valeria Nicolosi
Host Institution (HI) THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD, OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
Country Ireland
Call Details Proof of Concept (PoC), PC1, ERC-2014-PoC
Summary This proposal will determine the technical-economic viability of scaling-up ultra-thin, ink-jet printed films based on liquid-phase exfoliated single atomic layers of a range of nanomaterials. The PI has developed methods to produce in liquid nanosheets of a range of layered materials such as graphene, transition metal oxides, etc. These 2D-materials have immediate and far-reaching potential in several high-impact technological applications such as microelectronics, composites and energy harvesting and storage. 2DNanoCaps (ERC ref: 278516) has demonstrated that lab-scale ultra-thin graphene-based supercapacitor electrodes result in unusually high-power and extremely long device life-time (100% capacitance retention for 5000 charge-discharge cycles at the high power scan rate of 10,000 mV/s). This performance is an order of magnitude better than similar systems produced with conventional methods which cause materials restacking and aggregation. A following ERC PoC grant (2D-USD, Project-Number 620189) is currently focussed on up-scaling the production of thin-films deposition methods based on ultrasonic spray for the production of large-area electrodes for supercapacitors applications. In this proposal we want to explore the new concept of manufacturing conductive, robust, thin, easily assembled electrode and solid electrolytes to realize highly-flexible and all-solid-state supercapacitors by ink-jet printing. This opportunity is particularly relevant to the electronics and portable-device industry and offers the possibility to solve flammability issues, maintaining light weight, flexibility, transparency and portability. In order to do so it will be imperative to develop ink-jet printing methods and techniques. We believe our combination of unique materials and cost-effective, robust and production-scalable process of ultra- thin ink-jet printing will enable us to compete for significant global market opportunities in the energy-storage space.
Summary
This proposal will determine the technical-economic viability of scaling-up ultra-thin, ink-jet printed films based on liquid-phase exfoliated single atomic layers of a range of nanomaterials. The PI has developed methods to produce in liquid nanosheets of a range of layered materials such as graphene, transition metal oxides, etc. These 2D-materials have immediate and far-reaching potential in several high-impact technological applications such as microelectronics, composites and energy harvesting and storage. 2DNanoCaps (ERC ref: 278516) has demonstrated that lab-scale ultra-thin graphene-based supercapacitor electrodes result in unusually high-power and extremely long device life-time (100% capacitance retention for 5000 charge-discharge cycles at the high power scan rate of 10,000 mV/s). This performance is an order of magnitude better than similar systems produced with conventional methods which cause materials restacking and aggregation. A following ERC PoC grant (2D-USD, Project-Number 620189) is currently focussed on up-scaling the production of thin-films deposition methods based on ultrasonic spray for the production of large-area electrodes for supercapacitors applications. In this proposal we want to explore the new concept of manufacturing conductive, robust, thin, easily assembled electrode and solid electrolytes to realize highly-flexible and all-solid-state supercapacitors by ink-jet printing. This opportunity is particularly relevant to the electronics and portable-device industry and offers the possibility to solve flammability issues, maintaining light weight, flexibility, transparency and portability. In order to do so it will be imperative to develop ink-jet printing methods and techniques. We believe our combination of unique materials and cost-effective, robust and production-scalable process of ultra- thin ink-jet printing will enable us to compete for significant global market opportunities in the energy-storage space.
Max ERC Funding
149 774 €
Duration
Start date: 2015-04-01, End date: 2016-09-30
Project acronym 2LIVEr
Project IL-2 gene therapy for chronic hepatitis B virus infection
Researcher (PI) Matteo IANNACONE
Host Institution (HI) OSPEDALE SAN RAFFAELE SRL
Country Italy
Call Details Proof of Concept (PoC), ERC-2020-PoC
Summary Hepatitis B virus (HBV) infections remain a major public health issue worldwide. Over 350 -400 million people are chronically infected by HBV, and about 1 million people die each year from the complications of this infection (cirrhosis and hepatocellular carcinoma) with a consequent hefty economic impact on national health systems. This led the World Health Organization to recognise HBV infection as a key priority and adopt the global health sector strategy to eliminate viral hepatitis, with a target of reducing new infections by 90% and mortality by 65% by 2030.
The risk of developing a chronic infection in healthy adults is due to a weaker, dysfunctional and narrowly focused CD8+ T cell response. Since the mechanisms underlying HBV persistence are not fully elucidated, current treatments (antiviral drugs and Interferon) aim to reduce the development of liver disease, while a definitive treatment for curing this infection is not yet available on the market.
Within the ERC Consolidator Grant 725038 “FATE”, we recently characterized the mechanisms behind the ineffective CD8+ T cell response towards HBV, demonstrating the potential efficacy of interleukin-2 (IL-2) – a cytokine – to reactivate it, thus achieving antiviral activity. This discovery, jointly with our proprietary third-generation, self-inactivating lentiviral vectors (LVs) that allow selective hepatocellular expression of IL-2, pave the way to single-dose gene therapy-based approach, a potential functional cure against chronic hepatitis B.
2LIVEr project intends to optimize and further validate our novel therapeutic approach from both a technical and commercial standpoint, moving from TRL3 to TRL4, thus fastening the roadmap towards the market.
Summary
Hepatitis B virus (HBV) infections remain a major public health issue worldwide. Over 350 -400 million people are chronically infected by HBV, and about 1 million people die each year from the complications of this infection (cirrhosis and hepatocellular carcinoma) with a consequent hefty economic impact on national health systems. This led the World Health Organization to recognise HBV infection as a key priority and adopt the global health sector strategy to eliminate viral hepatitis, with a target of reducing new infections by 90% and mortality by 65% by 2030.
The risk of developing a chronic infection in healthy adults is due to a weaker, dysfunctional and narrowly focused CD8+ T cell response. Since the mechanisms underlying HBV persistence are not fully elucidated, current treatments (antiviral drugs and Interferon) aim to reduce the development of liver disease, while a definitive treatment for curing this infection is not yet available on the market.
Within the ERC Consolidator Grant 725038 “FATE”, we recently characterized the mechanisms behind the ineffective CD8+ T cell response towards HBV, demonstrating the potential efficacy of interleukin-2 (IL-2) – a cytokine – to reactivate it, thus achieving antiviral activity. This discovery, jointly with our proprietary third-generation, self-inactivating lentiviral vectors (LVs) that allow selective hepatocellular expression of IL-2, pave the way to single-dose gene therapy-based approach, a potential functional cure against chronic hepatitis B.
2LIVEr project intends to optimize and further validate our novel therapeutic approach from both a technical and commercial standpoint, moving from TRL3 to TRL4, thus fastening the roadmap towards the market.
Max ERC Funding
150 000 €
Duration
Start date: 2020-07-01, End date: 2021-12-31
Project acronym 3D Reloaded
Project 3D Reloaded: Novel Algorithms for 3D Shape Inference and Analysis
Researcher (PI) Daniel Cremers
Host Institution (HI) TECHNISCHE UNIVERSITAET MUENCHEN
Country Germany
Call Details Consolidator Grant (CoG), PE6, ERC-2014-CoG
Summary Despite their amazing success, we believe that computer vision algorithms have only scratched the surface of what can be done in terms of modeling and understanding our world from images. We believe that novel image analysis techniques will be a major enabler and driving force behind next-generation technologies, enhancing everyday life and opening up radically new possibilities. And we believe that the key to achieving this is to develop algorithms for reconstructing and analyzing the 3D structure of our world.
In this project, we will focus on three lines of research:
A) We will develop algorithms for 3D reconstruction from standard color cameras and from RGB-D cameras. In particular, we will promote real-time-capable direct and dense methods. In contrast to the classical two-stage approach of sparse feature-point based motion estimation and subsequent dense reconstruction, these methods optimally exploit all color information to jointly estimate dense geometry and camera motion.
B) We will develop algorithms for 3D shape analysis, including rigid and non-rigid matching, decomposition and interpretation of 3D shapes. We will focus on algorithms which are optimal or near-optimal. One of the major computational challenges lies in generalizing existing 2D shape analysis techniques to shapes in 3D and 4D (temporal evolutions of 3D shape).
C) We will develop shape priors for 3D reconstruction. These can be learned from sample shapes or acquired during the reconstruction process. For example, when reconstructing a larger office algorithms may exploit the geometric self-similarity of the scene, storing a model of a chair and its multiple instances only once rather than multiple times.
Advancing the state of the art in geometric reconstruction and geometric analysis will have a profound impact well beyond computer vision. We strongly believe that we have the necessary competence to pursue this project. Preliminary results have been well received by the community.
Summary
Despite their amazing success, we believe that computer vision algorithms have only scratched the surface of what can be done in terms of modeling and understanding our world from images. We believe that novel image analysis techniques will be a major enabler and driving force behind next-generation technologies, enhancing everyday life and opening up radically new possibilities. And we believe that the key to achieving this is to develop algorithms for reconstructing and analyzing the 3D structure of our world.
In this project, we will focus on three lines of research:
A) We will develop algorithms for 3D reconstruction from standard color cameras and from RGB-D cameras. In particular, we will promote real-time-capable direct and dense methods. In contrast to the classical two-stage approach of sparse feature-point based motion estimation and subsequent dense reconstruction, these methods optimally exploit all color information to jointly estimate dense geometry and camera motion.
B) We will develop algorithms for 3D shape analysis, including rigid and non-rigid matching, decomposition and interpretation of 3D shapes. We will focus on algorithms which are optimal or near-optimal. One of the major computational challenges lies in generalizing existing 2D shape analysis techniques to shapes in 3D and 4D (temporal evolutions of 3D shape).
C) We will develop shape priors for 3D reconstruction. These can be learned from sample shapes or acquired during the reconstruction process. For example, when reconstructing a larger office algorithms may exploit the geometric self-similarity of the scene, storing a model of a chair and its multiple instances only once rather than multiple times.
Advancing the state of the art in geometric reconstruction and geometric analysis will have a profound impact well beyond computer vision. We strongly believe that we have the necessary competence to pursue this project. Preliminary results have been well received by the community.
Max ERC Funding
2 000 000 €
Duration
Start date: 2015-09-01, End date: 2020-08-31
Project acronym 3D-JOINT
Project 3D Bioprinting of JOINT Replacements
Researcher (PI) Johannes Jos Malda
Host Institution (HI) UNIVERSITAIR MEDISCH CENTRUM UTRECHT
Country Netherlands
Call Details Consolidator Grant (CoG), LS7, ERC-2014-CoG
Summary The world has a significant medical challenge in repairing injured or diseased joints. Joint degeneration and its related pain is a major socio-economic burden that will increase over the next decade and is currently addressed by implanting a metal prosthesis. For the long term, the ideal solution to joint injury is to successfully regenerate rather than replace the damaged cartilage with synthetic implants. Recent advances in key technologies are now bringing this “holy grail” within reach; regenerative approaches, based on cell therapy, are already clinically available albeit only for smaller focal cartilage defects.
One of these key technologies is three-dimensional (3D) bio-printing, which provides a greatly controlled placement and organization of living constructs through the layer-by-layer deposition of materials and cells. These tissue constructs can be applied as tissue models for research and screening. However, the lack of biomechanical properties of these tissue constructs has hampered their application to the regeneration of damaged, degenerated or diseased tissue.
Having established a cartilage-focussed research laboratory in the University Medical Center Utrecht, I have addressed this biomechanical limitation of hydrogels through the use of hydrogel composites. Specifically, I have pioneered a 3D bio-printing technology that combines accurately printed small diameter thermoplast filaments with cell invasive hydrogels to form strong fibre-reinforced constructs. This, in combination with bioreactor technology, is the key to the generation of larger, complex tissue constructs with cartilage-like biomechanical resilience. With 3D-JOINT I will use my in-depth bio-printing and bioreactor knowledge and experience to develop a multi-phasic 3D-printed biological replacement of the joint.
Summary
The world has a significant medical challenge in repairing injured or diseased joints. Joint degeneration and its related pain is a major socio-economic burden that will increase over the next decade and is currently addressed by implanting a metal prosthesis. For the long term, the ideal solution to joint injury is to successfully regenerate rather than replace the damaged cartilage with synthetic implants. Recent advances in key technologies are now bringing this “holy grail” within reach; regenerative approaches, based on cell therapy, are already clinically available albeit only for smaller focal cartilage defects.
One of these key technologies is three-dimensional (3D) bio-printing, which provides a greatly controlled placement and organization of living constructs through the layer-by-layer deposition of materials and cells. These tissue constructs can be applied as tissue models for research and screening. However, the lack of biomechanical properties of these tissue constructs has hampered their application to the regeneration of damaged, degenerated or diseased tissue.
Having established a cartilage-focussed research laboratory in the University Medical Center Utrecht, I have addressed this biomechanical limitation of hydrogels through the use of hydrogel composites. Specifically, I have pioneered a 3D bio-printing technology that combines accurately printed small diameter thermoplast filaments with cell invasive hydrogels to form strong fibre-reinforced constructs. This, in combination with bioreactor technology, is the key to the generation of larger, complex tissue constructs with cartilage-like biomechanical resilience. With 3D-JOINT I will use my in-depth bio-printing and bioreactor knowledge and experience to develop a multi-phasic 3D-printed biological replacement of the joint.
Max ERC Funding
1 998 871 €
Duration
Start date: 2015-07-01, End date: 2020-06-30
Project acronym 3DALIGN
Project Enhancing the performance of 3D-printed organic thermoelectrics by electric field-assisted molecular alignment
Researcher (PI) Francisco Molina-Lopez
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Country Belgium
Call Details Starting Grant (StG), PE7, ERC-2020-STG
Summary Thermoelectrics (TEs) are important because they can convert heat directly into electrical energy and enable efficient heating/cooling. However, their popularization has been hindered by 1) their low efficiency (especially at room temperature), 2) the use of rare/toxic materials, and 3) the difficulty to process those materials. In 3DALIGN, I target a 3-in-1 solution to these challenges by using for the first time electric-field-assisted molecular alignment of 3D-printed TE polymers. High electrical/low thermal conductivity is required for efficient TEs, but both conductivities go hand in hand in traditional inorganic TE materials. This paradigm can shift for polymers, which possess complicated molecular structure. Despite their relatively low electrical conductivity, conducting polymers are appealing for TEs due to their much lower thermal conductivity than inorganic TE materials. Existing studies of organic TEs have focused on finding new materials, but no attention has been paid to molecular ordering, a known strategy to improve performance in organic transistors. I have recently developed a versatile method to induce molecular alignment in solution-processed polymers by using externally applied electric fields. In 3DALIGN, I propose to use this new method to boost the electrical conductivity of polymer TEs while inducing minimal alteration in their thermal conductivity. The high-risk of this goal is mitigated by other advantages of using polymer TEs: polymers are less toxic and more abundant than inorganic TE materials; and they are easy to 3D print, enabling a simple fabrication route for large-area through-plane TE structures that will lead to novel applications. In conclusion, this project will shed light in the relationship between molecular ordering and transport properties of organic electronic materials. If successful, it will also introduce a breakthrough in the performance and feasibility of TEs.
Summary
Thermoelectrics (TEs) are important because they can convert heat directly into electrical energy and enable efficient heating/cooling. However, their popularization has been hindered by 1) their low efficiency (especially at room temperature), 2) the use of rare/toxic materials, and 3) the difficulty to process those materials. In 3DALIGN, I target a 3-in-1 solution to these challenges by using for the first time electric-field-assisted molecular alignment of 3D-printed TE polymers. High electrical/low thermal conductivity is required for efficient TEs, but both conductivities go hand in hand in traditional inorganic TE materials. This paradigm can shift for polymers, which possess complicated molecular structure. Despite their relatively low electrical conductivity, conducting polymers are appealing for TEs due to their much lower thermal conductivity than inorganic TE materials. Existing studies of organic TEs have focused on finding new materials, but no attention has been paid to molecular ordering, a known strategy to improve performance in organic transistors. I have recently developed a versatile method to induce molecular alignment in solution-processed polymers by using externally applied electric fields. In 3DALIGN, I propose to use this new method to boost the electrical conductivity of polymer TEs while inducing minimal alteration in their thermal conductivity. The high-risk of this goal is mitigated by other advantages of using polymer TEs: polymers are less toxic and more abundant than inorganic TE materials; and they are easy to 3D print, enabling a simple fabrication route for large-area through-plane TE structures that will lead to novel applications. In conclusion, this project will shed light in the relationship between molecular ordering and transport properties of organic electronic materials. If successful, it will also introduce a breakthrough in the performance and feasibility of TEs.
Max ERC Funding
1 710 853 €
Duration
Start date: 2021-02-01, End date: 2026-01-31
Project acronym 3DSPIN
Project 3-Dimensional Maps of the Spinning Nucleon
Researcher (PI) Alessandro Bacchetta
Host Institution (HI) UNIVERSITA DEGLI STUDI DI PAVIA
Country Italy
Call Details Consolidator Grant (CoG), PE2, ERC-2014-CoG
Summary How does the inside of the proton look like? What generates its spin?
3DSPIN will deliver essential information to answer these questions at the frontier of subnuclear physics.
At present, we have detailed maps of the distribution of quarks and gluons in the nucleon in 1D (as a function of their momentum in a single direction). We also know that quark spins account for only about 1/3 of the spin of the nucleon.
3DSPIN will lead the way into a new stage of nucleon mapping, explore the distribution of quarks in full 3D momentum space and obtain unprecedented information on orbital angular momentum.
Goals
1. extract from experimental data the 3D distribution of quarks (in momentum space), as described by Transverse-Momentum Distributions (TMDs);
2. obtain from TMDs information on quark Orbital Angular Momentum (OAM).
Methodology
3DSPIN will implement state-of-the-art fitting procedures to analyze relevant experimental data and extract quark TMDs, similarly to global fits of standard parton distribution functions. Information about quark angular momentum will be obtained through assumptions based on theoretical considerations. The next five years represent an ideal time window to accomplish our goals, thanks to the wealth of expected data from deep-inelastic scattering experiments (COMPASS, Jefferson Lab), hadronic colliders (Fermilab, BNL, LHC), and electron-positron colliders (BELLE, BABAR). The PI has a strong reputation in this field. The group will operate in partnership with the Italian National Institute of Nuclear Physics and in close interaction with leading experts and experimental collaborations worldwide.
Impact
Mapping the 3D structure of chemical compounds has revolutionized chemistry. Similarly, mapping the 3D structure of the nucleon will have a deep impact on our understanding of the fundamental constituents of matter. We will open new perspectives on the dynamics of quarks and gluons and sharpen our view of high-energy processes involving nucleons.
Summary
How does the inside of the proton look like? What generates its spin?
3DSPIN will deliver essential information to answer these questions at the frontier of subnuclear physics.
At present, we have detailed maps of the distribution of quarks and gluons in the nucleon in 1D (as a function of their momentum in a single direction). We also know that quark spins account for only about 1/3 of the spin of the nucleon.
3DSPIN will lead the way into a new stage of nucleon mapping, explore the distribution of quarks in full 3D momentum space and obtain unprecedented information on orbital angular momentum.
Goals
1. extract from experimental data the 3D distribution of quarks (in momentum space), as described by Transverse-Momentum Distributions (TMDs);
2. obtain from TMDs information on quark Orbital Angular Momentum (OAM).
Methodology
3DSPIN will implement state-of-the-art fitting procedures to analyze relevant experimental data and extract quark TMDs, similarly to global fits of standard parton distribution functions. Information about quark angular momentum will be obtained through assumptions based on theoretical considerations. The next five years represent an ideal time window to accomplish our goals, thanks to the wealth of expected data from deep-inelastic scattering experiments (COMPASS, Jefferson Lab), hadronic colliders (Fermilab, BNL, LHC), and electron-positron colliders (BELLE, BABAR). The PI has a strong reputation in this field. The group will operate in partnership with the Italian National Institute of Nuclear Physics and in close interaction with leading experts and experimental collaborations worldwide.
Impact
Mapping the 3D structure of chemical compounds has revolutionized chemistry. Similarly, mapping the 3D structure of the nucleon will have a deep impact on our understanding of the fundamental constituents of matter. We will open new perspectives on the dynamics of quarks and gluons and sharpen our view of high-energy processes involving nucleons.
Max ERC Funding
1 509 000 €
Duration
Start date: 2015-07-01, End date: 2020-12-31
Project acronym 3DX-FLASH
Project Probing MHz processes in 3D with X-ray microscopy
Researcher (PI) Pablo Villanueva Perez
Host Institution (HI) LUNDS UNIVERSITET
Country Sweden
Call Details Starting Grant (StG), PE4, ERC-2020-STG
Summary I aim to develop an X-ray imaging technique capable of filming processes in 3D, with a temporal resolution several orders of magnitude faster than up-to-date 3D X-ray imaging techniques.
The unique penetration power of X-rays allows us to study systems in their native environment. This property has led to the development of X-ray microtomography (µCT). µCT acquires 3D information, which determines the functionality and mechanical properties of nature, by rotating a sample with respect to the X-ray source. µCT is a crucial tool for several scientific disciplines such as physics, biology, and chemistry.
Over the last decade, µCT has become a technique capable of not only recording 3D information but also filming dynamical processes. Several breakthroughs have made this possible: i) intense X-ray sources (synchrotron light sources), ii) efficient and fast X-ray detectors, and iii) fast 3D reconstruction algorithms. Despite all of these developments, the acquisition protocols remain unchanged, i.e., the sample is only rotated faster. This fast rotation introduces forces which may alter the studied dynamics and ultimately limit the achievable temporal resolution.
My project is to establish an X-ray microscope that avoids the sample rotation, obtaining 3D information from a single X-ray flash by splitting it into nine-angularly resolved beams which illuminate the sample simultaneously. This approach, when implemented at intense X-ray sources such as synchrotron light sources and X-ray free-electron lasers, will allow the filming of natural processes with micrometer to nanometer resolution and resolve dynamics from microseconds to femtoseconds. To demonstrate its capabilities, I will study fundamental processes in cellulose fibers, a renewable biomaterial, which can replace fossil-based materials, such as plastics. This technique will open up the possibility to film dynamics in 3D to answer questions coming from industry and natural sciences at rates not accessible today.
Summary
I aim to develop an X-ray imaging technique capable of filming processes in 3D, with a temporal resolution several orders of magnitude faster than up-to-date 3D X-ray imaging techniques.
The unique penetration power of X-rays allows us to study systems in their native environment. This property has led to the development of X-ray microtomography (µCT). µCT acquires 3D information, which determines the functionality and mechanical properties of nature, by rotating a sample with respect to the X-ray source. µCT is a crucial tool for several scientific disciplines such as physics, biology, and chemistry.
Over the last decade, µCT has become a technique capable of not only recording 3D information but also filming dynamical processes. Several breakthroughs have made this possible: i) intense X-ray sources (synchrotron light sources), ii) efficient and fast X-ray detectors, and iii) fast 3D reconstruction algorithms. Despite all of these developments, the acquisition protocols remain unchanged, i.e., the sample is only rotated faster. This fast rotation introduces forces which may alter the studied dynamics and ultimately limit the achievable temporal resolution.
My project is to establish an X-ray microscope that avoids the sample rotation, obtaining 3D information from a single X-ray flash by splitting it into nine-angularly resolved beams which illuminate the sample simultaneously. This approach, when implemented at intense X-ray sources such as synchrotron light sources and X-ray free-electron lasers, will allow the filming of natural processes with micrometer to nanometer resolution and resolve dynamics from microseconds to femtoseconds. To demonstrate its capabilities, I will study fundamental processes in cellulose fibers, a renewable biomaterial, which can replace fossil-based materials, such as plastics. This technique will open up the possibility to film dynamics in 3D to answer questions coming from industry and natural sciences at rates not accessible today.
Max ERC Funding
1 999 213 €
Duration
Start date: 2021-03-01, End date: 2026-02-28