Project acronym ATOP
Project Atomically-engineered nonlinear photonics with two-dimensional layered material superlattices
Researcher (PI) zhipei SUN
Host Institution (HI) AALTO KORKEAKOULUSAATIO SR
Call Details Advanced Grant (AdG), PE8, ERC-2018-ADG
Summary The project aims at introducing a paradigm shift in the development of nonlinear photonics with atomically-engineered two-dimensional (2D) van der Waals superlattices (2DSs). Monolayer 2D materials have large optical nonlinear susceptibilities, a few orders of magnitude larger than typical traditional bulk materials. However, nonlinear frequency conversion efficiency of monolayer 2D materials is typically weak mainly due to their extremely short interaction length (~atomic scale) and relatively large absorption coefficient (e.g.,>5×10^7 m^-1 in the visible range for graphene and MoS2 after thickness normalization). In this context, I will construct atomically-engineered heterojunctions based 2DSs to significantly enhance the nonlinear optical responses of 2D materials by coherently increasing light-matter interaction length and efficiently creating fundamentally new physical properties (e.g., reducing optical loss and increasing nonlinear susceptibilities).
The concrete project objectives are to theoretically calculate, experimentally fabricate and study optical nonlinearities of 2DSs for next-generation nonlinear photonics at the nanoscale. More specifically, I will use 2DSs as new building blocks to develop three of the most disruptive nonlinear photonic devices: (1) on-chip optical parametric generation sources; (2) broadband Terahertz sources; (3) high-purity photon-pair emitters. These devices will lead to a breakthrough technology to enable highly-integrated, high-efficient and wideband lab-on-chip photonic systems with unprecedented performance in system size, power consumption, flexibility and reliability, ideally fitting numerous growing and emerging applications, e.g. metrology, portable sensing/imaging, and quantum-communications. Based on my proven track record and my pioneering work on 2D materials based photonics and optoelectronics, I believe I will accomplish this ambitious frontier research program with a strong interdisciplinary nature.
Summary
The project aims at introducing a paradigm shift in the development of nonlinear photonics with atomically-engineered two-dimensional (2D) van der Waals superlattices (2DSs). Monolayer 2D materials have large optical nonlinear susceptibilities, a few orders of magnitude larger than typical traditional bulk materials. However, nonlinear frequency conversion efficiency of monolayer 2D materials is typically weak mainly due to their extremely short interaction length (~atomic scale) and relatively large absorption coefficient (e.g.,>5×10^7 m^-1 in the visible range for graphene and MoS2 after thickness normalization). In this context, I will construct atomically-engineered heterojunctions based 2DSs to significantly enhance the nonlinear optical responses of 2D materials by coherently increasing light-matter interaction length and efficiently creating fundamentally new physical properties (e.g., reducing optical loss and increasing nonlinear susceptibilities).
The concrete project objectives are to theoretically calculate, experimentally fabricate and study optical nonlinearities of 2DSs for next-generation nonlinear photonics at the nanoscale. More specifically, I will use 2DSs as new building blocks to develop three of the most disruptive nonlinear photonic devices: (1) on-chip optical parametric generation sources; (2) broadband Terahertz sources; (3) high-purity photon-pair emitters. These devices will lead to a breakthrough technology to enable highly-integrated, high-efficient and wideband lab-on-chip photonic systems with unprecedented performance in system size, power consumption, flexibility and reliability, ideally fitting numerous growing and emerging applications, e.g. metrology, portable sensing/imaging, and quantum-communications. Based on my proven track record and my pioneering work on 2D materials based photonics and optoelectronics, I believe I will accomplish this ambitious frontier research program with a strong interdisciplinary nature.
Max ERC Funding
2 442 448 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym Bio-Plan
Project Bio-Inspired Microfluidics Platform for Biomechanical Analysis
Researcher (PI) Jacob Marinus Jan DEN TOONDER
Host Institution (HI) TECHNISCHE UNIVERSITEIT EINDHOVEN
Call Details Advanced Grant (AdG), PE8, ERC-2018-ADG
Summary Biomechanical interactions between cells and their environment are essential in almost any biological process, from embryonic development to organ function to diseases. Hence, biomechanical interactions are crucial for health and disease. Examples are hydrodynamic interactions through fluid flow, and forces acting directly on cells. Existing methods to analyze and understand these interactions are limited however, since they do not offer the required combination of precisely controlled flow and accurate applying and sensing of forces. Also, they often lack a physiological environment. A breakthrough in biomechanical analysis is therefore highly needed. We will realize a novel microfluidic platform for biomechanical analysis with unprecedented possibilities of controlling fluid flow and applying and sensing time-dependent forces at subcellular scales in controlled environments. The platform will be uniquely based on bio-inspired magnetic artificial cilia, rather than on conventional microfluidic valves and pumps. Cilia are microscopic hairs ubiquitously present in nature, acting both as actuators and sensors, essential for swimming of microorganisms, transport of dirt out of our airways, and sensing of sound, i.e. they exactly fulfill functions needed in biomechanical analysis. We will develop novel materials and fabrication methods to realize microscopic polymeric artificial cilia, and integrate these in microfluidic devices. Magnetic actuation and optical readout systems complete the platform. We will apply the novel platform to address three fundamental and unresolved biomechanical questions: 1. How do hydrodynamic interactions with actuated cilia steer cellular and particle transport? 2. How do local and dynamic mechanical forces on cells fundamentally influence their motility and differentiation? 3. How do hydrodynamic interactions between cilia steer embryonic development? This unique platform will enable to address many other future biomechanical questions.
Summary
Biomechanical interactions between cells and their environment are essential in almost any biological process, from embryonic development to organ function to diseases. Hence, biomechanical interactions are crucial for health and disease. Examples are hydrodynamic interactions through fluid flow, and forces acting directly on cells. Existing methods to analyze and understand these interactions are limited however, since they do not offer the required combination of precisely controlled flow and accurate applying and sensing of forces. Also, they often lack a physiological environment. A breakthrough in biomechanical analysis is therefore highly needed. We will realize a novel microfluidic platform for biomechanical analysis with unprecedented possibilities of controlling fluid flow and applying and sensing time-dependent forces at subcellular scales in controlled environments. The platform will be uniquely based on bio-inspired magnetic artificial cilia, rather than on conventional microfluidic valves and pumps. Cilia are microscopic hairs ubiquitously present in nature, acting both as actuators and sensors, essential for swimming of microorganisms, transport of dirt out of our airways, and sensing of sound, i.e. they exactly fulfill functions needed in biomechanical analysis. We will develop novel materials and fabrication methods to realize microscopic polymeric artificial cilia, and integrate these in microfluidic devices. Magnetic actuation and optical readout systems complete the platform. We will apply the novel platform to address three fundamental and unresolved biomechanical questions: 1. How do hydrodynamic interactions with actuated cilia steer cellular and particle transport? 2. How do local and dynamic mechanical forces on cells fundamentally influence their motility and differentiation? 3. How do hydrodynamic interactions between cilia steer embryonic development? This unique platform will enable to address many other future biomechanical questions.
Max ERC Funding
3 083 625 €
Duration
Start date: 2019-10-01, End date: 2024-09-30
Project acronym C0PEP0D
Project Life and death of a virtual copepod in turbulence
Researcher (PI) Christophe ELOY
Host Institution (HI) ECOLE CENTRALE DE MARSEILLE EGIM
Call Details Advanced Grant (AdG), PE8, ERC-2018-ADG
Summary Life is tough for planktonic copepods, constantly washed by turbulent flows. Yet, these millimetric crustaceans dominate the oceans in numbers. What have made them so successful? Copepod antennae are covered with hydrodynamic and chemical sensing hairs that allow copepods to detect preys, predators and mates, although they are blind. How do copepods process this sensing information? How do they extract a meaningful signal from turbulence noise? Today, we do not know.
C0PEP0D hypothesises that reinforcement learning tools can decipher how copepod process hydrodynamic and chemical sensing. Copepods face a problem similar to speech recognition or object detection, two common applications of reinforcement learning. However, copepods only have 1000 neurons, much less than in most artificial neural networks. To approach the simple brain of copepods, we will use Darwinian evolution together with reinforcement learning, with the goal of finding minimal neural networks able to learn.
If we are to build a learning virtual copepod, challenging problems are ahead: we need fast methods to simulate turbulence and animal-flow interactions, new models of hydrodynamic signalling at finite Reynolds number, innovative reinforcement learning algorithms that embrace evolution and experiments with real copepods in turbulence. With these theoretical, numerical and experimental tools, we will address three questions:
Q1: Mating. How do male copepods follow the pheromone trail left by females?
Q2: Finding. How do copepods use hydrodynamic signals to ‘see’?
Q3: Feeding. What are the best feeding strategies in turbulent flow?
C0PEP0D will decipher how copepods process sensing information, but not only that. Because evolution is explicitly considered, it will offer a new perspective on marine ecology and evolution that could inspire artificial sensors. The evolutionary approach of reinforcement learning also offers a promising tool to tackle complex problems in biology and engineering.
Summary
Life is tough for planktonic copepods, constantly washed by turbulent flows. Yet, these millimetric crustaceans dominate the oceans in numbers. What have made them so successful? Copepod antennae are covered with hydrodynamic and chemical sensing hairs that allow copepods to detect preys, predators and mates, although they are blind. How do copepods process this sensing information? How do they extract a meaningful signal from turbulence noise? Today, we do not know.
C0PEP0D hypothesises that reinforcement learning tools can decipher how copepod process hydrodynamic and chemical sensing. Copepods face a problem similar to speech recognition or object detection, two common applications of reinforcement learning. However, copepods only have 1000 neurons, much less than in most artificial neural networks. To approach the simple brain of copepods, we will use Darwinian evolution together with reinforcement learning, with the goal of finding minimal neural networks able to learn.
If we are to build a learning virtual copepod, challenging problems are ahead: we need fast methods to simulate turbulence and animal-flow interactions, new models of hydrodynamic signalling at finite Reynolds number, innovative reinforcement learning algorithms that embrace evolution and experiments with real copepods in turbulence. With these theoretical, numerical and experimental tools, we will address three questions:
Q1: Mating. How do male copepods follow the pheromone trail left by females?
Q2: Finding. How do copepods use hydrodynamic signals to ‘see’?
Q3: Feeding. What are the best feeding strategies in turbulent flow?
C0PEP0D will decipher how copepods process sensing information, but not only that. Because evolution is explicitly considered, it will offer a new perspective on marine ecology and evolution that could inspire artificial sensors. The evolutionary approach of reinforcement learning also offers a promising tool to tackle complex problems in biology and engineering.
Max ERC Funding
2 215 794 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym CIF
Project Complex Interfacial Flows: From the Nano- to the Macro-Scale
Researcher (PI) Serafim Kalliadasis
Host Institution (HI) IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
Call Details Advanced Grant (AdG), PE8, ERC-2009-AdG
Summary A wide variety of natural phenomena and technological applications involve flow, transport and chemical reactions taking place on or near fluid-solid or fluid-fluid interfaces. From gravity currents under water and lava flows to heat and mass transport processes in engineering applications and to the rapidly developing field of microfluidics. Both equilibrium properties of a fluid and transportcoefficients are modified in the vicinity of interfaces. The effect of these changes is crucial in the behavior of ultra-thin fluidfilms and fluid motion in microchannels of micro-electromechanical systems, but is essential as well in macroscopic phenomena involving interfacial singularities, such as thin-film rupture and motion of three-phase contact lines associated e.g. with droplet spreading. Interface boundaries are mesoscopic structures. While material properties vary smoothly at macroscopic distances from an interface, gradients in the normal direction of conserved parameters, such as density, are steep with strong variations as the molecular scale in the neighborhood of the interface is approached. This brings about a contradiction between the need in macroscopic description and a necessity to take into consideration microscopic factors that come to influence the fluid motion and transport on incommensurately larger scales. The aim of the proposed research is to develop a class of novel continuous models bridging the gap between molecular dynamics and conventional hydrodynamics and applicable at mesoscopic distances from gas-liquid and fluid-solid interfaces. A combination of analytical techniques, numerical modeling and computer-aided multiscale analysis will be employed. The results of the proposed work will greatly contribute to the fundamental understanding of mesoscopic non-equilibrium phenomena in the vicinity of interfaces and to the development of novel computational methods combining the advantages of molecular and continuous models.
Summary
A wide variety of natural phenomena and technological applications involve flow, transport and chemical reactions taking place on or near fluid-solid or fluid-fluid interfaces. From gravity currents under water and lava flows to heat and mass transport processes in engineering applications and to the rapidly developing field of microfluidics. Both equilibrium properties of a fluid and transportcoefficients are modified in the vicinity of interfaces. The effect of these changes is crucial in the behavior of ultra-thin fluidfilms and fluid motion in microchannels of micro-electromechanical systems, but is essential as well in macroscopic phenomena involving interfacial singularities, such as thin-film rupture and motion of three-phase contact lines associated e.g. with droplet spreading. Interface boundaries are mesoscopic structures. While material properties vary smoothly at macroscopic distances from an interface, gradients in the normal direction of conserved parameters, such as density, are steep with strong variations as the molecular scale in the neighborhood of the interface is approached. This brings about a contradiction between the need in macroscopic description and a necessity to take into consideration microscopic factors that come to influence the fluid motion and transport on incommensurately larger scales. The aim of the proposed research is to develop a class of novel continuous models bridging the gap between molecular dynamics and conventional hydrodynamics and applicable at mesoscopic distances from gas-liquid and fluid-solid interfaces. A combination of analytical techniques, numerical modeling and computer-aided multiscale analysis will be employed. The results of the proposed work will greatly contribute to the fundamental understanding of mesoscopic non-equilibrium phenomena in the vicinity of interfaces and to the development of novel computational methods combining the advantages of molecular and continuous models.
Max ERC Funding
1 273 788 €
Duration
Start date: 2010-04-01, End date: 2016-03-31
Project acronym DALDECS
Project Development and Application of Laser Diagnostic Techniques for Combustion Studies
Researcher (PI) Lars Eric Marcus Aldén
Host Institution (HI) LUNDS UNIVERSITET
Call Details Advanced Grant (AdG), PE8, ERC-2009-AdG
Summary This project is directed towards development of new laser diagnostic techniques and a deepened physical understanding of more established techniques, aiming at new insights in phenomena related to combustion processes. These non-intrusive techniques with high resolution in space and time, will be used for measurements of key parameters, species concentrations and temperatures. The techniques to be used are; Non-linear optical techniques, mainly Polarization spectroscopy, PS. PS will mainly be developed for sensitive detection with high spatial resolution of "new" species in the IR region, e.g. individual hydrocarbons, toxic species as well as alkali metal compounds. Multiplex measurements of these species and temperature will be developed as well as 2D visualization. Quantitative measurements with high precision and accuracy; Laser induced fluorescence and Rayleigh/Raman scattering will be developed for quantitative measurements of species concentration and 2D temperatures. Also a new technique will be developed for single ended experiments based on picosecond LIDAR. Advanced imaging techniques; New high speed (10-100 kHz) visualization techniques as well as 3D and even 4D visualization will be developed. In order to properly visualize dense sprays we will develop Ballistic Imaging as well as a new technique based on structured illumination of the area of interest for suppression of multiple scattering which normally cause blurring effects. All techniques developed above will be used for key studies of phenomena related to various combustion phenomena; turbulent combustion, multiphase conversion processes, e.g. spray combustion and gasification/pyrolysis of solid bio fuels. The techniques will also be applied for development and physical understanding of how combustion could be influenced by plasma/electrical assistance. Finally, the techniques will be prepared for applications in industrial combustion apparatus, e.g. furnaces, gasturbines and IC engines
Summary
This project is directed towards development of new laser diagnostic techniques and a deepened physical understanding of more established techniques, aiming at new insights in phenomena related to combustion processes. These non-intrusive techniques with high resolution in space and time, will be used for measurements of key parameters, species concentrations and temperatures. The techniques to be used are; Non-linear optical techniques, mainly Polarization spectroscopy, PS. PS will mainly be developed for sensitive detection with high spatial resolution of "new" species in the IR region, e.g. individual hydrocarbons, toxic species as well as alkali metal compounds. Multiplex measurements of these species and temperature will be developed as well as 2D visualization. Quantitative measurements with high precision and accuracy; Laser induced fluorescence and Rayleigh/Raman scattering will be developed for quantitative measurements of species concentration and 2D temperatures. Also a new technique will be developed for single ended experiments based on picosecond LIDAR. Advanced imaging techniques; New high speed (10-100 kHz) visualization techniques as well as 3D and even 4D visualization will be developed. In order to properly visualize dense sprays we will develop Ballistic Imaging as well as a new technique based on structured illumination of the area of interest for suppression of multiple scattering which normally cause blurring effects. All techniques developed above will be used for key studies of phenomena related to various combustion phenomena; turbulent combustion, multiphase conversion processes, e.g. spray combustion and gasification/pyrolysis of solid bio fuels. The techniques will also be applied for development and physical understanding of how combustion could be influenced by plasma/electrical assistance. Finally, the techniques will be prepared for applications in industrial combustion apparatus, e.g. furnaces, gasturbines and IC engines
Max ERC Funding
2 466 000 €
Duration
Start date: 2010-02-01, End date: 2015-01-31
Project acronym ElectroThermo
Project New Paradigm in Electrolyte Thermodynamics
Researcher (PI) Georgios KONTOGEORGIS
Host Institution (HI) DANMARKS TEKNISKE UNIVERSITET
Call Details Advanced Grant (AdG), PE8, ERC-2018-ADG
Summary The project’s overall target is to arrive at a fundamental understanding of electrolyte thermodynamics and thus enable the engineering of a new generation of useful, physically sound models for electrolyte solutions. These models should be general and applicable to a very wide range of conditions so that they can be potentially used for a wide range of applications.
Electrolyte solutions are present almost anywhere and find numerous applications in physical sciences including chemistry, geology, material science, medicine, biochemistry and physiology as well as in many engineering fields especially chemical & biochemical, electrical and petroleum engineering. In all these applications the thermodynamics plays a crucial role over wide ranges of temperature, pressure and composition. As the subject is important, a relatively large body of knowledge has been accumulated with lots of data and models. However, disappointingly the state-of-the art thermodynamic models used today in engineering practice are semi-empirical and require numerous experimental data. They lack generality and have not enhanced our understanding of electrolyte thermodynamics. Going beyond the current state of the art, we will create the scientific foundation for studying, at their extremes, both “primitive” and “non-primitive” approaches for electrolyte solutions and identify strengths and limitations. The project is based on the PI’s many years of experience in thermodynamics. The ambition is to make new advances to clarify major questions and misunderstandings in electrolyte thermodynamics, some remaining for over 100 years, which currently prevent real progress from being made, and create a new paradigm which will ultimately pave the way for the development of new engineering models for electrolyte solutions. This is a risky, ambitious and crucial task, but a successful completion will have significant benefits in many industrial sectors as well as in environmental studies and biotechnology.
Summary
The project’s overall target is to arrive at a fundamental understanding of electrolyte thermodynamics and thus enable the engineering of a new generation of useful, physically sound models for electrolyte solutions. These models should be general and applicable to a very wide range of conditions so that they can be potentially used for a wide range of applications.
Electrolyte solutions are present almost anywhere and find numerous applications in physical sciences including chemistry, geology, material science, medicine, biochemistry and physiology as well as in many engineering fields especially chemical & biochemical, electrical and petroleum engineering. In all these applications the thermodynamics plays a crucial role over wide ranges of temperature, pressure and composition. As the subject is important, a relatively large body of knowledge has been accumulated with lots of data and models. However, disappointingly the state-of-the art thermodynamic models used today in engineering practice are semi-empirical and require numerous experimental data. They lack generality and have not enhanced our understanding of electrolyte thermodynamics. Going beyond the current state of the art, we will create the scientific foundation for studying, at their extremes, both “primitive” and “non-primitive” approaches for electrolyte solutions and identify strengths and limitations. The project is based on the PI’s many years of experience in thermodynamics. The ambition is to make new advances to clarify major questions and misunderstandings in electrolyte thermodynamics, some remaining for over 100 years, which currently prevent real progress from being made, and create a new paradigm which will ultimately pave the way for the development of new engineering models for electrolyte solutions. This is a risky, ambitious and crucial task, but a successful completion will have significant benefits in many industrial sectors as well as in environmental studies and biotechnology.
Max ERC Funding
2 500 000 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym GREENEST
Project Gas turbine combustion with Reduced EmissioNs Employing extreme STeam injection
Researcher (PI) Christian Oliver Rudolf Martin Paschereit
Host Institution (HI) TECHNISCHE UNIVERSITAT BERLIN
Call Details Advanced Grant (AdG), PE8, ERC-2009-AdG
Summary Global energy consumption is continuously increasing, leading to an increased world wide demand for new power generation installations in the near future. In order to protect the earth s climate, energy conversion efficiency and the use of sustainable resources have to be improved significantly to reduce the emission of the greenhouse gas CO2. To maintain our high standard of living and to enhance it for developing countries, the improved technologies have to be cost-neutral. Gas turbines play today a major role in energy generation. In the future, gas turbines will become even more important, when old coal-fired steam cycle power plants are replaced by integrated gasification plants. However, current gas turbine technology experiences a flattening technology curve and further increase in total efficiency at low NOx emissions is only achieved in incremental small steps. Additionally, current technology is not prepared to operate on hydrogen-rich fuels from biological resources or coal gasification. A new approach was developed that promises a significant improvement in efficiency and emissions and provides the ability to burn hydrogen-rich fuels. For operation on carbon-containing fuels, it enables CO2 capture at low cost. The concept is based on a high pressure air-steam gas turbine cycle using extremely high amounts of steam. The goal of the proposed project is to investigate the fundamentals of ultra wet combustion to develop the technology for a prototype combustor which is capable of burning natural gas, hydrogen and fuels from coal or biowaste gasification at low NOx emissions. Research will include the combustion process, the aerodynamic design, acoustics and control, combining the main disciplines of the Chair of Experimental Fluid Dynamics.
Summary
Global energy consumption is continuously increasing, leading to an increased world wide demand for new power generation installations in the near future. In order to protect the earth s climate, energy conversion efficiency and the use of sustainable resources have to be improved significantly to reduce the emission of the greenhouse gas CO2. To maintain our high standard of living and to enhance it for developing countries, the improved technologies have to be cost-neutral. Gas turbines play today a major role in energy generation. In the future, gas turbines will become even more important, when old coal-fired steam cycle power plants are replaced by integrated gasification plants. However, current gas turbine technology experiences a flattening technology curve and further increase in total efficiency at low NOx emissions is only achieved in incremental small steps. Additionally, current technology is not prepared to operate on hydrogen-rich fuels from biological resources or coal gasification. A new approach was developed that promises a significant improvement in efficiency and emissions and provides the ability to burn hydrogen-rich fuels. For operation on carbon-containing fuels, it enables CO2 capture at low cost. The concept is based on a high pressure air-steam gas turbine cycle using extremely high amounts of steam. The goal of the proposed project is to investigate the fundamentals of ultra wet combustion to develop the technology for a prototype combustor which is capable of burning natural gas, hydrogen and fuels from coal or biowaste gasification at low NOx emissions. Research will include the combustion process, the aerodynamic design, acoustics and control, combining the main disciplines of the Chair of Experimental Fluid Dynamics.
Max ERC Funding
3 137 648 €
Duration
Start date: 2010-07-01, End date: 2016-06-30
Project acronym HELD
Project Hetero-structures for Efficient Luminescent Devices
Researcher (PI) Hendrik Jan BOLINK
Host Institution (HI) UNIVERSITAT DE VALENCIA
Call Details Advanced Grant (AdG), PE8, ERC-2018-ADG
Summary We propose to engineer stable-highly luminescent heterostructures based on defect tolerant benign perovskites and their integration into efficient planar/thin film optoelectronic devices. Primary targeted devices are: blue and white planar electroluminescent devices, high efficiency solar cells and electrically pumped lasers.
We will use processing methods that are compatible with large area industrial processes, in particular focusing on vapour deposition using thermal sublimation of the perovskite precursors. The boundaries of this simple, scalable and economic coating method will be determined using an advanced real time in-situ optical monitoring system based on hyperspectral imaging. This tool will unveil the limits and processing conditions for the preparation of uniform and very thin (< 10 nm) crystalline thin-film semiconductors.
We will also attempt to replace the toxic lead in today’s most studied perovskite materials, by less toxic materials such as tin and silver/bismuth mixtures. Here vacuum based processing is beneficial in view of the limited air-stability and solubility of their pre-cursor salts.
Accurate vapour deposition methods will allow the fabrication of perovskites in multiple layered heterostructures (MLH) that passivate the perovskite crystal boundaries. This will increase their thermal and structural stability and above all their photoluminescence efficiency. With the sophisticated processing control, multiple quantum wells (MQWs) will be engineered. MQWs are promising for light-emitting devices, in particular for lasers.
The impact of the project is large on various fields ranging from processes, materials and device engineering, physics, and energy. High efficiency, planar LEDs and solar cells, can shift the energy landscape and strongly help to meet the worlds CO2 reduction targets. The demonstration of electrically pumped lasing in easily processed thin film semiconductors will generate so far un-available fields of science.
Summary
We propose to engineer stable-highly luminescent heterostructures based on defect tolerant benign perovskites and their integration into efficient planar/thin film optoelectronic devices. Primary targeted devices are: blue and white planar electroluminescent devices, high efficiency solar cells and electrically pumped lasers.
We will use processing methods that are compatible with large area industrial processes, in particular focusing on vapour deposition using thermal sublimation of the perovskite precursors. The boundaries of this simple, scalable and economic coating method will be determined using an advanced real time in-situ optical monitoring system based on hyperspectral imaging. This tool will unveil the limits and processing conditions for the preparation of uniform and very thin (< 10 nm) crystalline thin-film semiconductors.
We will also attempt to replace the toxic lead in today’s most studied perovskite materials, by less toxic materials such as tin and silver/bismuth mixtures. Here vacuum based processing is beneficial in view of the limited air-stability and solubility of their pre-cursor salts.
Accurate vapour deposition methods will allow the fabrication of perovskites in multiple layered heterostructures (MLH) that passivate the perovskite crystal boundaries. This will increase their thermal and structural stability and above all their photoluminescence efficiency. With the sophisticated processing control, multiple quantum wells (MQWs) will be engineered. MQWs are promising for light-emitting devices, in particular for lasers.
The impact of the project is large on various fields ranging from processes, materials and device engineering, physics, and energy. High efficiency, planar LEDs and solar cells, can shift the energy landscape and strongly help to meet the worlds CO2 reduction targets. The demonstration of electrically pumped lasing in easily processed thin film semiconductors will generate so far un-available fields of science.
Max ERC Funding
2 499 175 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym HIGHWAVE
Project Breaking of highly energetic waves
Researcher (PI) Frederic DIAS
Host Institution (HI) UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
Call Details Advanced Grant (AdG), PE8, ERC-2018-ADG
Summary HIGHWAVE is an interdisciplinary project at the frontiers of coastal/ocean engineering, earth system science, statistics and fluid mechanics that will explore fundamental open questions in wave breaking. Why do waves break, how do they dissipate energy and why is this important? A central element of the work builds on recent international developments in the field of wave breaking and wave run-up led by the PI that have provided the first universal criterion for predicting the onset of breaking of water waves in uniform water depths from deep to intermediate. This work has also shown that the run-up of nonlinear waves impinging on a vertical wall can exceed up to 12 times the far-field amplitude of the incoming waves. These results have now opened up the possibility for more accurate operational wave models. They have practical and economic benefits in determining structural loads on ships and coastal/offshore infrastructure, evaluating seabed response to extreme waves, and optimizing operational strategies for maritime and marine renewable energy enterprises. This is a tremendous advance comparable to the introduction of wave prediction during World War II, and the PI aims to be at the forefront of this research effort to take research in wave breaking into fundamentally new directions. The objectives of the project are: (i) to develop an innovative approach to include accurate wave breaking physics into coupled sea state and ocean weather forecasting models; (ii) to obtain improved criteria for the design of ships and coastal/offshore infrastructure; (iii) to quantify erosion by powerful breaking waves, and (iv) to develop new concepts in wave measurement with improved characterization of wave breaking using real-time instrumentation. This highly interdisciplinary project will involve an ambitious and unconventional combination of computational simulation/theory, laboratory experiments, and field measurements of sea waves, closely informed by application needs.
Summary
HIGHWAVE is an interdisciplinary project at the frontiers of coastal/ocean engineering, earth system science, statistics and fluid mechanics that will explore fundamental open questions in wave breaking. Why do waves break, how do they dissipate energy and why is this important? A central element of the work builds on recent international developments in the field of wave breaking and wave run-up led by the PI that have provided the first universal criterion for predicting the onset of breaking of water waves in uniform water depths from deep to intermediate. This work has also shown that the run-up of nonlinear waves impinging on a vertical wall can exceed up to 12 times the far-field amplitude of the incoming waves. These results have now opened up the possibility for more accurate operational wave models. They have practical and economic benefits in determining structural loads on ships and coastal/offshore infrastructure, evaluating seabed response to extreme waves, and optimizing operational strategies for maritime and marine renewable energy enterprises. This is a tremendous advance comparable to the introduction of wave prediction during World War II, and the PI aims to be at the forefront of this research effort to take research in wave breaking into fundamentally new directions. The objectives of the project are: (i) to develop an innovative approach to include accurate wave breaking physics into coupled sea state and ocean weather forecasting models; (ii) to obtain improved criteria for the design of ships and coastal/offshore infrastructure; (iii) to quantify erosion by powerful breaking waves, and (iv) to develop new concepts in wave measurement with improved characterization of wave breaking using real-time instrumentation. This highly interdisciplinary project will involve an ambitious and unconventional combination of computational simulation/theory, laboratory experiments, and field measurements of sea waves, closely informed by application needs.
Max ERC Funding
2 499 946 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym INSYSBIO
Project Industrial Systems Biology of Yeast and A. oryzae
Researcher (PI) Jens Nielsen
Host Institution (HI) CHALMERS TEKNISKA HOEGSKOLA AB
Call Details Advanced Grant (AdG), PE8, ERC-2009-AdG
Summary Metabolic engineering is the development of new cell factories or improving existing ones, and it is the enabling science that allows for sustainable production of fuels and chemicals through biotechnology. With the development in genomics and functional genomics, it has become interesting to evaluate how advanced high-throughput experimental techniques (transcriptome, proteome, metabolome and fluxome) can be applied for improving the process of metabolic engineering. These techniques have mainly found applications in life sciences and studies of human health, and it is necessary to develop novel bioinformatics techniques and modelling concepts before they can provide physiological information that can be used to guide metabolic engineering strategies. In particular it is challenging how these techniques can be used to advance the use of mathematical modelling for description of the operation of complex metabolic networks. The availability of robust mathematical models will allow a wider use of mathematical models to drive metabolic engineering, in analogy with other fields of engineering where mathematical modelling is central in the design phase. In this project the advancement of novel concepts, models and technologies for enhancing metabolic engineering will be done in connection with the development of novel cell factories for high-level production of different classes of products. The chemicals considered will involve both commodity type chemicals like 3-hydroxypropionic acid and malic acid, that can be used for sustainable production of polymers, an industrial enzyme and pharmaceutical proteins like human insulin.
Summary
Metabolic engineering is the development of new cell factories or improving existing ones, and it is the enabling science that allows for sustainable production of fuels and chemicals through biotechnology. With the development in genomics and functional genomics, it has become interesting to evaluate how advanced high-throughput experimental techniques (transcriptome, proteome, metabolome and fluxome) can be applied for improving the process of metabolic engineering. These techniques have mainly found applications in life sciences and studies of human health, and it is necessary to develop novel bioinformatics techniques and modelling concepts before they can provide physiological information that can be used to guide metabolic engineering strategies. In particular it is challenging how these techniques can be used to advance the use of mathematical modelling for description of the operation of complex metabolic networks. The availability of robust mathematical models will allow a wider use of mathematical models to drive metabolic engineering, in analogy with other fields of engineering where mathematical modelling is central in the design phase. In this project the advancement of novel concepts, models and technologies for enhancing metabolic engineering will be done in connection with the development of novel cell factories for high-level production of different classes of products. The chemicals considered will involve both commodity type chemicals like 3-hydroxypropionic acid and malic acid, that can be used for sustainable production of polymers, an industrial enzyme and pharmaceutical proteins like human insulin.
Max ERC Funding
2 499 590 €
Duration
Start date: 2010-01-01, End date: 2014-12-31