Project acronym BIHSNAM
Project Bio-inspired Hierarchical Super Nanomaterials
Researcher (PI) Nicola Pugno
Host Institution (HI) UNIVERSITA DEGLI STUDI DI TRENTO
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
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 COMPASS
Project Control for Orbit Manoeuvring through Perturbations for Application to Space Systems
Researcher (PI) Camilla Colombo
Host Institution (HI) POLITECNICO DI MILANO
Call Details Starting Grant (StG), PE8, ERC-2015-STG
Summary Space benefits mankind through the services it provides to Earth. Future space activities progress thanks to space transfer and are safeguarded by space situation awareness. Natural orbit perturbations are responsible for the trajectory divergence from the nominal two-body problem, increasing the requirements for orbit control; whereas, in space situation awareness, they influence the orbit evolution of space debris that could cause hazard to operational spacecraft and near Earth objects that may intersect the Earth. However, this project proposes to leverage the dynamics of natural orbit perturbations to significantly reduce current extreme high mission cost and create new opportunities for space exploration and exploitation.
The COMPASS project will bridge over the disciplines of orbital dynamics, dynamical systems theory, optimisation and space mission design by developing novel techniques for orbit manoeuvring by “surfing” through orbit perturbations. The use of semi-analytical techniques and tools of dynamical systems theory will lay the foundation for a new understanding of the dynamics of orbit perturbations. We will develop an optimiser that progressively explores the phase space and, though spacecraft parameters and propulsion manoeuvres, governs the effect of perturbations to reach the desired orbit. It is the ambition of COMPASS to radically change the current space mission design philosophy: from counteracting disturbances, to exploiting natural and artificial perturbations.
COMPASS will benefit from the extensive international network of the PI, including the ESA, NASA, JAXA, CNES, and the UK space agency. Indeed, the proposed idea of optimal navigation through orbit perturbations will address various major engineering challenges in space situation awareness, for application to space debris evolution and mitigation, missions to asteroids for their detection, exploration and deflection, and in space transfers, for perturbation-enhanced trajectory design.
Summary
Space benefits mankind through the services it provides to Earth. Future space activities progress thanks to space transfer and are safeguarded by space situation awareness. Natural orbit perturbations are responsible for the trajectory divergence from the nominal two-body problem, increasing the requirements for orbit control; whereas, in space situation awareness, they influence the orbit evolution of space debris that could cause hazard to operational spacecraft and near Earth objects that may intersect the Earth. However, this project proposes to leverage the dynamics of natural orbit perturbations to significantly reduce current extreme high mission cost and create new opportunities for space exploration and exploitation.
The COMPASS project will bridge over the disciplines of orbital dynamics, dynamical systems theory, optimisation and space mission design by developing novel techniques for orbit manoeuvring by “surfing” through orbit perturbations. The use of semi-analytical techniques and tools of dynamical systems theory will lay the foundation for a new understanding of the dynamics of orbit perturbations. We will develop an optimiser that progressively explores the phase space and, though spacecraft parameters and propulsion manoeuvres, governs the effect of perturbations to reach the desired orbit. It is the ambition of COMPASS to radically change the current space mission design philosophy: from counteracting disturbances, to exploiting natural and artificial perturbations.
COMPASS will benefit from the extensive international network of the PI, including the ESA, NASA, JAXA, CNES, and the UK space agency. Indeed, the proposed idea of optimal navigation through orbit perturbations will address various major engineering challenges in space situation awareness, for application to space debris evolution and mitigation, missions to asteroids for their detection, exploration and deflection, and in space transfers, for perturbation-enhanced trajectory design.
Max ERC Funding
1 499 021 €
Duration
Start date: 2016-08-01, End date: 2021-07-31
Project acronym HyGate
Project Hydrophobic Gating in nanochannels: understanding single channel mechanisms for designing better nanoscale sensors
Researcher (PI) Alberto GIACOMELLO
Host Institution (HI) UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Call Details Starting Grant (StG), PE8, ERC-2018-STG
Summary Hydrophobic gating is the phenomenon by which the flux of ions or other molecules through biological ion channels or synthetic nanopores is hindered by the formation of nanoscale bubbles. Recent studies suggest that this is a generic mechanism for the inactivation of a plethora of ion channels, which are all characterized by a strongly hydrophobic interior. The conformation, compliance, and hydrophobicity of the nanochannels – in addition to external parameters such as electric potential, pressure, presence of gases – have a dramatic influence on the probability of opening and closing of the gate. This largely unexplored confined phase transition is known to cause low frequency noise in solid-state nanopores used for DNA sequencing and sensing, limiting their applicability. In biological channels, hydrophobic gating might conspire in determining the high selectivity towards a specific ions or molecules, a characteristic which is sought for in biosensors.
The objective of HyGate is to unravel the fundamental mechanisms of hydrophobic gating in model nanopores and biological ion channels and exploit their understanding in order to design biosensors with lower noise and higher selectivity. In order to achieve this ambitious goal, I will deploy the one-of-a-kind simulation and theoretical tools I developed to study vapor nucleation in extreme confinement, which comprises rare-event molecular dynamics and confined nucleation theory. These quantitative tools will be instrumental in designing better biosensors and nanodevices which avoid the formation of nanobubbles or exploit them to achieve exquisite species selectivity. The novel physical insights into the behavior of water in complex nanoconfined environments are expected to inspire radically innovative strategies for nanopore sensing and nanofluidic circuits and to promote a stepwise advancement in the fundamental understanding of hydrophobic gating mechanisms and their influence on bio-electrical cell response.
Summary
Hydrophobic gating is the phenomenon by which the flux of ions or other molecules through biological ion channels or synthetic nanopores is hindered by the formation of nanoscale bubbles. Recent studies suggest that this is a generic mechanism for the inactivation of a plethora of ion channels, which are all characterized by a strongly hydrophobic interior. The conformation, compliance, and hydrophobicity of the nanochannels – in addition to external parameters such as electric potential, pressure, presence of gases – have a dramatic influence on the probability of opening and closing of the gate. This largely unexplored confined phase transition is known to cause low frequency noise in solid-state nanopores used for DNA sequencing and sensing, limiting their applicability. In biological channels, hydrophobic gating might conspire in determining the high selectivity towards a specific ions or molecules, a characteristic which is sought for in biosensors.
The objective of HyGate is to unravel the fundamental mechanisms of hydrophobic gating in model nanopores and biological ion channels and exploit their understanding in order to design biosensors with lower noise and higher selectivity. In order to achieve this ambitious goal, I will deploy the one-of-a-kind simulation and theoretical tools I developed to study vapor nucleation in extreme confinement, which comprises rare-event molecular dynamics and confined nucleation theory. These quantitative tools will be instrumental in designing better biosensors and nanodevices which avoid the formation of nanobubbles or exploit them to achieve exquisite species selectivity. The novel physical insights into the behavior of water in complex nanoconfined environments are expected to inspire radically innovative strategies for nanopore sensing and nanofluidic circuits and to promote a stepwise advancement in the fundamental understanding of hydrophobic gating mechanisms and their influence on bio-electrical cell response.
Max ERC Funding
1 496 250 €
Duration
Start date: 2019-02-01, End date: 2024-01-31
Project acronym IDEal reSCUE
Project Integrated DEsign and control of Sustainable CommUnities during Emergencies
Researcher (PI) Gian Paolo Cimellaro
Host Institution (HI) POLITECNICO DI TORINO
Call Details Starting Grant (StG), PE8, ERC-2014-STG
Summary Integrated DEsign and control of Sustainable CommUnities during Emergencies
Summary
Integrated DEsign and control of Sustainable CommUnities during Emergencies
Max ERC Funding
1 271 138 €
Duration
Start date: 2015-11-01, End date: 2020-10-31
Project acronym INTERCELLMED
Project SENSING CELL-CELL INTERACTION HETEROGENEITY IN 3D TUMOR MODELS:TOWARDS PRECISION MEDICINE
Researcher (PI) Loretta DEL MERCATO
Host Institution (HI) CONSIGLIO NAZIONALE DELLE RICERCHE
Call Details Starting Grant (StG), PE8, ERC-2017-STG
Summary This project aims to investigate the role of potassium (K+), protons (H+) and oxygen (O2) gradients in the extracellular space of tumour cells grown in 3D cultures by using a combination of imaging, cell biology and in silico analyses. By embedding ratiometric fluorescent particle-based sensors within 3D scaffolds, the changes in target analyte concentrations can be monitored and used to study the interactions between tumour cells and stromal cells in 3D tumoroids/scaffolds and to monitor response of the cells to drug treatments. I first demonstrated successful fabrication of barcoded capsules for multiplex sensing of H+, K+, and Na+ ions. Next, I demonstrated the use of pH-sensing capsules as valid real time optical reporter tools to sense and monitor intracellular acidification in living cells. Thus, I can fabricate capsule sensors for investigating the role of key analytes that are involved in regulation of crucial physiological mechanisms. In addition, I successfully integrated pH-sensing capsules within 3D nanofibrous matrices and demonstrated their operation under pH switches. INTERCELLMED will engineer 3D scaffolds that do not only sense extracellular pH but are also able to sense K+ and O2 changes. To this aim, a novel set of anisotropic analyte-sensitive ratiometric capsules will be developed and applied for generating robust and flexible capsules-embedded sensing scaffolds. To validate the functions of the 3D sensing platform, cocoltures of tumour cells and stromal cells will be grown and their interaction and response to drug treatments will be studied by mapping the K+/H+/O2 gradients in and around the cell aggregates. Finally, the 3D sensing platform will be adapted for growing tumour tissue-derived cells that will be tested ex-vivo with anticancer dugs. Specific mathematical models of cellular interactions will be developed to represent the biological processes occurring within the 3D sensing platform.
Summary
This project aims to investigate the role of potassium (K+), protons (H+) and oxygen (O2) gradients in the extracellular space of tumour cells grown in 3D cultures by using a combination of imaging, cell biology and in silico analyses. By embedding ratiometric fluorescent particle-based sensors within 3D scaffolds, the changes in target analyte concentrations can be monitored and used to study the interactions between tumour cells and stromal cells in 3D tumoroids/scaffolds and to monitor response of the cells to drug treatments. I first demonstrated successful fabrication of barcoded capsules for multiplex sensing of H+, K+, and Na+ ions. Next, I demonstrated the use of pH-sensing capsules as valid real time optical reporter tools to sense and monitor intracellular acidification in living cells. Thus, I can fabricate capsule sensors for investigating the role of key analytes that are involved in regulation of crucial physiological mechanisms. In addition, I successfully integrated pH-sensing capsules within 3D nanofibrous matrices and demonstrated their operation under pH switches. INTERCELLMED will engineer 3D scaffolds that do not only sense extracellular pH but are also able to sense K+ and O2 changes. To this aim, a novel set of anisotropic analyte-sensitive ratiometric capsules will be developed and applied for generating robust and flexible capsules-embedded sensing scaffolds. To validate the functions of the 3D sensing platform, cocoltures of tumour cells and stromal cells will be grown and their interaction and response to drug treatments will be studied by mapping the K+/H+/O2 gradients in and around the cell aggregates. Finally, the 3D sensing platform will be adapted for growing tumour tissue-derived cells that will be tested ex-vivo with anticancer dugs. Specific mathematical models of cellular interactions will be developed to represent the biological processes occurring within the 3D sensing platform.
Max ERC Funding
1 050 000 €
Duration
Start date: 2018-02-01, End date: 2023-01-31
Project acronym INTHERM
Project Design, manufacturing and control of INterfaces in THERMally conductive polymer nanocomposites
Researcher (PI) Alberto Fina
Host Institution (HI) POLITECNICO DI TORINO
Call Details Starting Grant (StG), PE8, ERC-2014-STG
Summary This proposal addresses the design, manufacturing and control of interfaces in thermally conductive polymer/graphene nanocomposites.
In particular, the strong reduction of thermal resistance associated to the contacts between conductive particles in a percolating network throughout the polymer matrix is targeted, to overcome the present bottleneck for heat transfer in nanocomposites.
The project includes the investigation of novel chemical modifications of nanoparticles to behave as thermal bridges between adjacent particles, advanced characterization methods for particle/particle interfaces and controlled processing methods for the preparations of nanocomposites with superior thermal conductivity.
The results of this project will contribute to the fundamental understanding of heat transfer in complex solids, while success in mastering interfacial properties would open the way to a new generation of advanced materials coupling high thermal conductivity with low density, ease of processing, toughness and corrosion resistance.
Summary
This proposal addresses the design, manufacturing and control of interfaces in thermally conductive polymer/graphene nanocomposites.
In particular, the strong reduction of thermal resistance associated to the contacts between conductive particles in a percolating network throughout the polymer matrix is targeted, to overcome the present bottleneck for heat transfer in nanocomposites.
The project includes the investigation of novel chemical modifications of nanoparticles to behave as thermal bridges between adjacent particles, advanced characterization methods for particle/particle interfaces and controlled processing methods for the preparations of nanocomposites with superior thermal conductivity.
The results of this project will contribute to the fundamental understanding of heat transfer in complex solids, while success in mastering interfacial properties would open the way to a new generation of advanced materials coupling high thermal conductivity with low density, ease of processing, toughness and corrosion resistance.
Max ERC Funding
1 404 132 €
Duration
Start date: 2015-03-01, End date: 2020-02-29
Project acronym ISOBIO
Project Isogeometric Methods for Biomechanics
Researcher (PI) Alessandro Reali
Host Institution (HI) UNIVERSITA DEGLI STUDI DI PAVIA
Call Details Starting Grant (StG), PE8, ERC-2010-StG_20091028
Summary Computational Mechanics and the numerical analysis of the structural behavior are becoming a more and more fundamental tool for the engineering design process in many different fields. This is particularly true in Biomechanics, nowadays widely recognized as a fundamental research field, where reliable analyses of structures and fluids (and of their interactions) are often needed on complex geometries described by tools of Computational Geometry.
Isogeometric Analysis (IGA) is a recent (2005) idea proposed to bridge the gap between Computational Mechanics and Computer Aided Design (CAD). The key feature of IGA is to extend the Finite Element Method (FEM) representing geometry by functions, such as Non-Uniform Rational B-Splines (NURBS), which are used by CAD systems, and then invoking the isoparametric concept to define field variables. Thus, the computational domain exactly reproduces the CAD description of the physical domain. Moreover, numerical testing in different situations shows that IGA holds great promises, with a substantial increase in the accuracy-to-computational-effort ratio with respect to standard FEM, also thanks to the high regularity properties of the employed functions.
The fact that IGA is very accurate and with a great potential for better integrating analysis with geometry makes it particularly suitable for the simulation of Biomechanics systems, where the approximation of complicate morphologies is a key issue to go along with the reliability of the numerical results. Therefore, the objective of ISOBIO is to construct an analysis tool, based on the peculiar features of IGA, to perform simulations of complex biomechanical systems (such as arteries, stents, aortic valves, etc.) which can be successfully used for biomedical device design as well as in clinical decision process.
Summary
Computational Mechanics and the numerical analysis of the structural behavior are becoming a more and more fundamental tool for the engineering design process in many different fields. This is particularly true in Biomechanics, nowadays widely recognized as a fundamental research field, where reliable analyses of structures and fluids (and of their interactions) are often needed on complex geometries described by tools of Computational Geometry.
Isogeometric Analysis (IGA) is a recent (2005) idea proposed to bridge the gap between Computational Mechanics and Computer Aided Design (CAD). The key feature of IGA is to extend the Finite Element Method (FEM) representing geometry by functions, such as Non-Uniform Rational B-Splines (NURBS), which are used by CAD systems, and then invoking the isoparametric concept to define field variables. Thus, the computational domain exactly reproduces the CAD description of the physical domain. Moreover, numerical testing in different situations shows that IGA holds great promises, with a substantial increase in the accuracy-to-computational-effort ratio with respect to standard FEM, also thanks to the high regularity properties of the employed functions.
The fact that IGA is very accurate and with a great potential for better integrating analysis with geometry makes it particularly suitable for the simulation of Biomechanics systems, where the approximation of complicate morphologies is a key issue to go along with the reliability of the numerical results. Therefore, the objective of ISOBIO is to construct an analysis tool, based on the peculiar features of IGA, to perform simulations of complex biomechanical systems (such as arteries, stents, aortic valves, etc.) which can be successfully used for biomedical device design as well as in clinical decision process.
Max ERC Funding
1 195 200 €
Duration
Start date: 2010-11-01, End date: 2015-10-31
Project acronym LASER OPTIMAL
Project Laser Ablation: SElectivity and monitoRing for OPTImal tuMor removAL
Researcher (PI) Paola SACCOMANDI
Host Institution (HI) POLITECNICO DI MILANO
Call Details Starting Grant (StG), PE8, ERC-2017-STG
Summary Laser Ablation (LA) was extensively investigated for its benefits as minimally invasive thermal therapy for tumor. Despite the LA pros as potential alternative to surgical resection (e.g., use of small fiber optics, echo-endoscope procedures and image-guidance without artifact), the lack of tools for safe and patient-specific treatment restrained its clinical use. LASER OPTIMAL offers a renaissance to LA for the practical management of challenging tumors (e.g., pancreatic cancer): it investigates and develops integrated solutions to achieve an effective and selective LA, that thermally destroys the whole tumor mass, while spearing the normal tissue around. The excellent ambition of LASER OPTIMAL is to achieve and merge: a) biocompatible nanoparticles (BNPs) injected in the tumor, to enhance the selective absorption of laser light; b) patient-specific anatomy of tumor and its surrounding, extracted from clinical images, to retrieve the optimal laser settings; c) accurate, fast and real-time heat-transfer model to simulate laser-tissue-BNPs interaction, predict and visualize the treatment dynamics; d) real-time temperature measurement system to monitor LA effects, account for unpredictable physiological events and tune the settings (closed-loop). The design of ex vivo and in vivo animal tests allows assessing the system performances and driving the possible workflow re-design. Finally, human trials are envisaged to prove the significant impact of the LASER OPTIMAL paradigm. The collaboration of researchers, engineers and clinicians will drive the use of this innovative strategy in clinical routine. The research on the patient-specific system for the mini-invasive tumors removal, and the ground-breaking insights on clinical use of BNPs will strongly impact on EU healthcare system and society, by creating a novel product. This paradigm is also embeddable in existing system of industrial partner, extendable to other procedures, thus able to encourage a dedicated market.
Summary
Laser Ablation (LA) was extensively investigated for its benefits as minimally invasive thermal therapy for tumor. Despite the LA pros as potential alternative to surgical resection (e.g., use of small fiber optics, echo-endoscope procedures and image-guidance without artifact), the lack of tools for safe and patient-specific treatment restrained its clinical use. LASER OPTIMAL offers a renaissance to LA for the practical management of challenging tumors (e.g., pancreatic cancer): it investigates and develops integrated solutions to achieve an effective and selective LA, that thermally destroys the whole tumor mass, while spearing the normal tissue around. The excellent ambition of LASER OPTIMAL is to achieve and merge: a) biocompatible nanoparticles (BNPs) injected in the tumor, to enhance the selective absorption of laser light; b) patient-specific anatomy of tumor and its surrounding, extracted from clinical images, to retrieve the optimal laser settings; c) accurate, fast and real-time heat-transfer model to simulate laser-tissue-BNPs interaction, predict and visualize the treatment dynamics; d) real-time temperature measurement system to monitor LA effects, account for unpredictable physiological events and tune the settings (closed-loop). The design of ex vivo and in vivo animal tests allows assessing the system performances and driving the possible workflow re-design. Finally, human trials are envisaged to prove the significant impact of the LASER OPTIMAL paradigm. The collaboration of researchers, engineers and clinicians will drive the use of this innovative strategy in clinical routine. The research on the patient-specific system for the mini-invasive tumors removal, and the ground-breaking insights on clinical use of BNPs will strongly impact on EU healthcare system and society, by creating a novel product. This paradigm is also embeddable in existing system of industrial partner, extendable to other procedures, thus able to encourage a dedicated market.
Max ERC Funding
1 499 575 €
Duration
Start date: 2018-05-01, End date: 2023-04-30
Project acronym LINCE
Project Light INduced Cell control by Exogenous organic semiconductors
Researcher (PI) Maria Rosa ANTOGNAZZA
Host Institution (HI) FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA
Call Details Starting Grant (StG), PE8, ERC-2018-STG
Summary LINCE will develop light-sensitive devices based on organic semiconductors (OS) for optical regulation of living cells functions.
The possibility to control the activity of biological systems is a timeless mission for neuroscientists, since it allows both to understand specific functions and to manage dysfunctions. Optical modulation provides, respect to traditional electrical methods, unprecedented spatio-temporal resolution, lower invasiveness, and higher selectivity. However, the vast majority of animal cells does not bear specific sensitivity to light. Search for new materials capable to optically regulate cell activity is thus an extremely hot topic. OS are ideal candidates, since they are inherently sensitive to visible light and highly biocompatible, sustain both ionic and electronic conduction, can be functionalized with biomolecules and drugs. Recently, it was reported that polymer-mediated optical excitation efficiently modulates the neuronal electrical activity.
LINCE will significantly broaden the application of OS to address key, open issues of high biological relevance, in both neuroscience and regenerative medicine. In particular, it will develop new devices for: (i) regulation of astrocytes functions, active in many fundamental processes of the central nervous system and in pathological disorders; (ii) control of stem cell differentiation and tissue regeneration; (iii) control of animal behavior, to first assess device biocompatibility and efficacy in vivo. LINCE tools will be sensitive to visible and NIR light, flexible, biocompatible, and easily integrated with any standard physiology set-up. They will combine electrical, chemical and thermal stimuli, offering high spatio-temporal resolution, reversibility, specificity and yield. The combination of all these features is not achievable by current technologies. Overall, LINCE will provide neuroscientists and medical doctors with an unprecedented tool-box for in vitro and in vivo investigations.
Summary
LINCE will develop light-sensitive devices based on organic semiconductors (OS) for optical regulation of living cells functions.
The possibility to control the activity of biological systems is a timeless mission for neuroscientists, since it allows both to understand specific functions and to manage dysfunctions. Optical modulation provides, respect to traditional electrical methods, unprecedented spatio-temporal resolution, lower invasiveness, and higher selectivity. However, the vast majority of animal cells does not bear specific sensitivity to light. Search for new materials capable to optically regulate cell activity is thus an extremely hot topic. OS are ideal candidates, since they are inherently sensitive to visible light and highly biocompatible, sustain both ionic and electronic conduction, can be functionalized with biomolecules and drugs. Recently, it was reported that polymer-mediated optical excitation efficiently modulates the neuronal electrical activity.
LINCE will significantly broaden the application of OS to address key, open issues of high biological relevance, in both neuroscience and regenerative medicine. In particular, it will develop new devices for: (i) regulation of astrocytes functions, active in many fundamental processes of the central nervous system and in pathological disorders; (ii) control of stem cell differentiation and tissue regeneration; (iii) control of animal behavior, to first assess device biocompatibility and efficacy in vivo. LINCE tools will be sensitive to visible and NIR light, flexible, biocompatible, and easily integrated with any standard physiology set-up. They will combine electrical, chemical and thermal stimuli, offering high spatio-temporal resolution, reversibility, specificity and yield. The combination of all these features is not achievable by current technologies. Overall, LINCE will provide neuroscientists and medical doctors with an unprecedented tool-box for in vitro and in vivo investigations.
Max ERC Funding
1 866 250 €
Duration
Start date: 2019-03-01, End date: 2024-02-29
Project acronym MICRONEX
Project Microbioreactor platforms as in vivo-like systems to probe the role of Neuroblastoma-derived Exosomes in cancer dissemination
Researcher (PI) Elisa CIMETTA
Host Institution (HI) UNIVERSITA DEGLI STUDI DI PADOVA
Call Details Starting Grant (StG), PE8, ERC-2017-STG
Summary Engineers can actively contribute to fields thought to be out of their “comfort zones”. We can be leaders of discoveries that translate into advances in the understanding of disease and improving human health. Engineers might use different language and tools than Life Sciences Scientists but we find a common ground, as the laws of Thermodynamics, Physics, and Mathematics also apply to biological phenomena.
The development of microbioreactors (μBRs) reconstructing biologically sound niches can revolutionize medical research.
In our bodies cells reside in a complex milieu, the microenvironment (μEnv), regulating their fate and function. Most of this complexity is lacking in standard laboratory models, leading to readouts poorly predicting the in vivo situation. This is particularly felt in cancer research, as tumors are extremely heterogeneous and capable of conditioning both the local μEnv and distant organs. Neuroblastoma (NB) is the most common and difficult to cure pediatric malignant solid tumor. Secreted exosomes are means by which NBs reshape their μEnv and induce local and long-range changes in cells, regulating progression and prognosis. But the mechanisms involved are yet not completely understood. A major limitation is the difficulty to model in vitro the local in vivo dynamic μEnv.
We hypothesize that μBRs exploiting classical engineering principles will solve the limitations of existing classical culture models.
We propose to develop platforms and test their edge over classical approaches in decoding the role of exosomes and μEnv in NB. Our μBRs generate time and space-resolved concentration gradients, support fast dynamic changes and reconstruct complex interactions between cells and tissues while performing multifactorial and parallelized experiments.
We expect that our technologies will bridge the gap between in vitro techniques and in vivo biological phenomena leading to significant and novel results, shedding light on previously unexplored scenarios.
Summary
Engineers can actively contribute to fields thought to be out of their “comfort zones”. We can be leaders of discoveries that translate into advances in the understanding of disease and improving human health. Engineers might use different language and tools than Life Sciences Scientists but we find a common ground, as the laws of Thermodynamics, Physics, and Mathematics also apply to biological phenomena.
The development of microbioreactors (μBRs) reconstructing biologically sound niches can revolutionize medical research.
In our bodies cells reside in a complex milieu, the microenvironment (μEnv), regulating their fate and function. Most of this complexity is lacking in standard laboratory models, leading to readouts poorly predicting the in vivo situation. This is particularly felt in cancer research, as tumors are extremely heterogeneous and capable of conditioning both the local μEnv and distant organs. Neuroblastoma (NB) is the most common and difficult to cure pediatric malignant solid tumor. Secreted exosomes are means by which NBs reshape their μEnv and induce local and long-range changes in cells, regulating progression and prognosis. But the mechanisms involved are yet not completely understood. A major limitation is the difficulty to model in vitro the local in vivo dynamic μEnv.
We hypothesize that μBRs exploiting classical engineering principles will solve the limitations of existing classical culture models.
We propose to develop platforms and test their edge over classical approaches in decoding the role of exosomes and μEnv in NB. Our μBRs generate time and space-resolved concentration gradients, support fast dynamic changes and reconstruct complex interactions between cells and tissues while performing multifactorial and parallelized experiments.
We expect that our technologies will bridge the gap between in vitro techniques and in vivo biological phenomena leading to significant and novel results, shedding light on previously unexplored scenarios.
Max ERC Funding
1 446 250 €
Duration
Start date: 2017-12-01, End date: 2022-11-30
Project acronym MORPHOSIS
Project Morphing Locally and Globally Structures with Multiscale Intelligence by Mimicking Nature
Researcher (PI) Giulia Lanzara
Host Institution (HI) UNIVERSITA DEGLI STUDI ROMA TRE
Call Details Starting Grant (StG), PE8, ERC-2012-StG_20111012
Summary The objective of the proposed research is to engineer novel multifunctional morphing materials drawing inspiration from biological systems that are known to possess distributed sensing capabilities which in turn guide their local and global morphing. This will be achieved through the development of novel multi-scale technologies (nano- to macro) and materials that, once integrated, will allow distributed local/global sensing and morphing capabilities that can be exploited for structural as well as for eminently flexible applications. The distributed local/global morphing and sensing will be delivered by fabricating at the microscale a non-invasive, light-weight, flexible and highly expandable active network with enhanced actuation capabilities and a neurological sensor network. The networks are then expanded to the macro-scale prior being integrated in a flexible material or in an innovative multi-stable shape memory carbon-fiber composite. The sensor network has to monitor environmental and loading conditions. These data are then used to control the deformation of the active network which can deliver local (roughness changes as in dolphins skin for instance for drag reduction) or global morphing (e.g. for deformable textiles as in insect wings) in flexible materials. The multi-stable carbon-fiber composite can be used in conjunction with these two functions so as to achieve advanced morphing in structural applications (e.g., birds wings vs. aircrafts wings). The composite, with a shape memory resin as hosting matrix, due to its rigidity and sensitivity to temperature variations, can snap from one configuration to the other. The speed of the purposefully-introduced snapping-through process will be tuned with the help of the integrated active network. This research has the potential to pave the way toward the development of new multidisciplinary research fields and could revolutionarize the design and production of future structures in a variety of fields.
Summary
The objective of the proposed research is to engineer novel multifunctional morphing materials drawing inspiration from biological systems that are known to possess distributed sensing capabilities which in turn guide their local and global morphing. This will be achieved through the development of novel multi-scale technologies (nano- to macro) and materials that, once integrated, will allow distributed local/global sensing and morphing capabilities that can be exploited for structural as well as for eminently flexible applications. The distributed local/global morphing and sensing will be delivered by fabricating at the microscale a non-invasive, light-weight, flexible and highly expandable active network with enhanced actuation capabilities and a neurological sensor network. The networks are then expanded to the macro-scale prior being integrated in a flexible material or in an innovative multi-stable shape memory carbon-fiber composite. The sensor network has to monitor environmental and loading conditions. These data are then used to control the deformation of the active network which can deliver local (roughness changes as in dolphins skin for instance for drag reduction) or global morphing (e.g. for deformable textiles as in insect wings) in flexible materials. The multi-stable carbon-fiber composite can be used in conjunction with these two functions so as to achieve advanced morphing in structural applications (e.g., birds wings vs. aircrafts wings). The composite, with a shape memory resin as hosting matrix, due to its rigidity and sensitivity to temperature variations, can snap from one configuration to the other. The speed of the purposefully-introduced snapping-through process will be tuned with the help of the integrated active network. This research has the potential to pave the way toward the development of new multidisciplinary research fields and could revolutionarize the design and production of future structures in a variety of fields.
Max ERC Funding
1 664 600 €
Duration
Start date: 2013-01-01, End date: 2018-12-31
Project acronym NANO-JETS
Project Next-generation polymer nanofibers: from electrified jets to hybrid optoelectronics
Researcher (PI) Dario Pisignano
Host Institution (HI) UNIVERSITA DEL SALENTO
Call Details Starting Grant (StG), PE8, ERC-2012-StG_20111012
Summary "This project ultimately targets the application of polymer nanofibers in new, cavity-free lasers. To this aim, it wants to tackle the still unsolved problems of the process of electrospinning in terms of product control by the parameters affecting the dynamics of electrified jets. The electrospinning is based on the uniaxial elongation of polymeric jets with sufficient molecular entanglements, in presence of an intense electric field. It is a unique approach to produce nanofibers with high throughput. However, the process is still largely suboptimal, the most of nanofiber production being still carried out on an empirical basis. Though operationally simple, electrospinning is indeed complex as the behavior of electrified jets depends on many experimental variables making fully predictive approaches still missing. This project aims to elucidating and engineering the still unclear working principles of electrospinning by solutions incorporating active materials, with a tight synergy among modeling, fast-imaging characterization of electrified jets, and process engineering. Once optimized, nanofibers will offer an effective, well-controllable and cheap material for building new, cavity-free random laser systems. These architectures will enable enhanced miniaturization and portability, and enormously reduced realization costs. Electrospun nanofibers will offer a unique combination of optical properties, tuneable topography and light scattering effectiveness, thus being an exceptional bench tool to realize such new low-cost lasers, which is the second project goal. The accomplishment of these ambitious but well-defined objectives will have a groundbreaking, interdisciplinary impact, from materials science to physics of fluid jets in strong elongational conditions, from process to device engineering. The project will set-up a new, internationally-leading laboratory on polymer processing, making a decisive contribution to the establishment of scientific independence."
Summary
"This project ultimately targets the application of polymer nanofibers in new, cavity-free lasers. To this aim, it wants to tackle the still unsolved problems of the process of electrospinning in terms of product control by the parameters affecting the dynamics of electrified jets. The electrospinning is based on the uniaxial elongation of polymeric jets with sufficient molecular entanglements, in presence of an intense electric field. It is a unique approach to produce nanofibers with high throughput. However, the process is still largely suboptimal, the most of nanofiber production being still carried out on an empirical basis. Though operationally simple, electrospinning is indeed complex as the behavior of electrified jets depends on many experimental variables making fully predictive approaches still missing. This project aims to elucidating and engineering the still unclear working principles of electrospinning by solutions incorporating active materials, with a tight synergy among modeling, fast-imaging characterization of electrified jets, and process engineering. Once optimized, nanofibers will offer an effective, well-controllable and cheap material for building new, cavity-free random laser systems. These architectures will enable enhanced miniaturization and portability, and enormously reduced realization costs. Electrospun nanofibers will offer a unique combination of optical properties, tuneable topography and light scattering effectiveness, thus being an exceptional bench tool to realize such new low-cost lasers, which is the second project goal. The accomplishment of these ambitious but well-defined objectives will have a groundbreaking, interdisciplinary impact, from materials science to physics of fluid jets in strong elongational conditions, from process to device engineering. The project will set-up a new, internationally-leading laboratory on polymer processing, making a decisive contribution to the establishment of scientific independence."
Max ERC Funding
1 491 823 €
Duration
Start date: 2013-03-01, End date: 2018-02-28
Project acronym SHAPE
Project Structure-dependent microkinetic modelling of heterogeneous catalytic processes
Researcher (PI) Matteo Maestri
Host Institution (HI) POLITECNICO DI MILANO
Call Details Starting Grant (StG), PE8, ERC-2015-STG
Summary Despite the fact that the catalyst structure has been an important factor in catalysis science since the discovery of structure sensitive reactions in single crystal studies, its effect on reactivity is neglected in state-of-the-art microkinetic modelling. In reality, the catalyst is dynamic by changing its structure, shape and size in response to the different conditions in the reactor. Thus, the inclusion of such effects within the framework of microkinetic modelling, albeit extremely complex, is of outmost importance in the quest of engineering the chemical transformation at the molecular level. This proposal aims to approach this grand challenge by developing a hierarchical multiscale methodology for the structure-dependent microkinetic modelling of catalytic processes in applied catalysis. In particular this challenging objective will be achieved by acting on two main fronts:
i. development of a hierarchical multiscale methodology for the prediction of the structural changes of the catalyst material as a function of the operating conditions in the reactor and the analysis of the structure-activity relations through the development of structure-dependent microkinetic models;
ii. show the applicability of the methodology by the assessment of the structure-activity relation in the context of relevant processes in energy applications such as the short-contact-time CH4 reforming with H2O and CO2 on supported-metal catalysts.
The inherent complexity of the problem will be tackled by hierarchically combining novel methods at different levels of accuracy in a dual feed-back loop between theory and experiments. This will require interdisciplinary efforts in bridging among surface science, physical-chemistry and chemical engineering. The fundamental nature and impact of the methodology will be unprecedented and will pave the way toward the detailed analysis and design of the structure-activity relation by tuning shape and size to tailoring activity and selectivity.
Summary
Despite the fact that the catalyst structure has been an important factor in catalysis science since the discovery of structure sensitive reactions in single crystal studies, its effect on reactivity is neglected in state-of-the-art microkinetic modelling. In reality, the catalyst is dynamic by changing its structure, shape and size in response to the different conditions in the reactor. Thus, the inclusion of such effects within the framework of microkinetic modelling, albeit extremely complex, is of outmost importance in the quest of engineering the chemical transformation at the molecular level. This proposal aims to approach this grand challenge by developing a hierarchical multiscale methodology for the structure-dependent microkinetic modelling of catalytic processes in applied catalysis. In particular this challenging objective will be achieved by acting on two main fronts:
i. development of a hierarchical multiscale methodology for the prediction of the structural changes of the catalyst material as a function of the operating conditions in the reactor and the analysis of the structure-activity relations through the development of structure-dependent microkinetic models;
ii. show the applicability of the methodology by the assessment of the structure-activity relation in the context of relevant processes in energy applications such as the short-contact-time CH4 reforming with H2O and CO2 on supported-metal catalysts.
The inherent complexity of the problem will be tackled by hierarchically combining novel methods at different levels of accuracy in a dual feed-back loop between theory and experiments. This will require interdisciplinary efforts in bridging among surface science, physical-chemistry and chemical engineering. The fundamental nature and impact of the methodology will be unprecedented and will pave the way toward the detailed analysis and design of the structure-activity relation by tuning shape and size to tailoring activity and selectivity.
Max ERC Funding
1 496 250 €
Duration
Start date: 2016-05-01, End date: 2021-04-30
Project acronym SLaMM
Project Magnetic Solid Lipid Nanoparticles as a Multifunctional Platform against Glioblastoma Multiforme
Researcher (PI) Gianni CIOFANI
Host Institution (HI) FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA
Call Details Starting Grant (StG), PE8, ERC-2016-STG
Summary Central nervous system (CNS) tumors are an important cause of morbidity and mortality worldwide. Among them, glioblastoma multiforme (GBM) is the most aggressive and lethal, characterized by extensive infiltration into the brain parenchyma. Under the standard treatment protocols, GBM patients can expect a median survival of 14.6 months, while less than 5% of patients live longer than 5 years. This poor prognosis is due to several factors, including the highly aggressive and infiltrative nature of GBM, resulting in incomplete resection, and the limited delivery of therapeutics across the blood-brain-barrier (BBB).
The present project aims at addressing these therapeutic challenges by proposing a nanotechnology-based approach for the treatment of GBM, focused on the selective uptake of drug-loaded multifunctional magnetic solid lipid nanoparticles (SLNs). An external magnetic guidance will help the SLN accumulation on the cerebral endothelium, where, owing to their lipid nature, they will be allowed to enter the CNS. Here, appropriate surface ligands will drive their internalization inside cancer cells. The chemotherapeutic payload will undergo release, allowing a targeted pharmaceutical treatment that will be combined to hyperthermia upon appropriate radiofrequency application. A synergic attack against GBM will thus be performed, consisting of a chemical attack thanks to the drug, and a physical attack thanks to hyperthermia, that will dramatically enhance the possibilities of therapeutic success.
By demonstrating the effectiveness of the platform to cross the BBB and to support tumor regression, a huge impact on human healthcare is envisioned. Moreover, further outcomes of this project are expected by considering the development of nanotechnology-based, multi-functional solutions that can easily be adapted to many other high-impact diseases, in particular at the brain level, where BBB crossing poses a crucial obstacle to many therapeutic approaches.
Summary
Central nervous system (CNS) tumors are an important cause of morbidity and mortality worldwide. Among them, glioblastoma multiforme (GBM) is the most aggressive and lethal, characterized by extensive infiltration into the brain parenchyma. Under the standard treatment protocols, GBM patients can expect a median survival of 14.6 months, while less than 5% of patients live longer than 5 years. This poor prognosis is due to several factors, including the highly aggressive and infiltrative nature of GBM, resulting in incomplete resection, and the limited delivery of therapeutics across the blood-brain-barrier (BBB).
The present project aims at addressing these therapeutic challenges by proposing a nanotechnology-based approach for the treatment of GBM, focused on the selective uptake of drug-loaded multifunctional magnetic solid lipid nanoparticles (SLNs). An external magnetic guidance will help the SLN accumulation on the cerebral endothelium, where, owing to their lipid nature, they will be allowed to enter the CNS. Here, appropriate surface ligands will drive their internalization inside cancer cells. The chemotherapeutic payload will undergo release, allowing a targeted pharmaceutical treatment that will be combined to hyperthermia upon appropriate radiofrequency application. A synergic attack against GBM will thus be performed, consisting of a chemical attack thanks to the drug, and a physical attack thanks to hyperthermia, that will dramatically enhance the possibilities of therapeutic success.
By demonstrating the effectiveness of the platform to cross the BBB and to support tumor regression, a huge impact on human healthcare is envisioned. Moreover, further outcomes of this project are expected by considering the development of nanotechnology-based, multi-functional solutions that can easily be adapted to many other high-impact diseases, in particular at the brain level, where BBB crossing poses a crucial obstacle to many therapeutic approaches.
Max ERC Funding
1 499 997 €
Duration
Start date: 2017-03-01, End date: 2022-02-28
Project acronym SUPERCOOL
Project Superelastic Porous Structures for Efficient Elastocaloric Cooling
Researcher (PI) Jaka TUŠEK
Host Institution (HI) UNIVERZA V LJUBLJANI
Call Details Starting Grant (StG), PE8, ERC-2018-STG
Summary Cooling, refrigeration and air-conditioning are crucial for our modern society. In the last decade, the global demands for cooling are growing exponentially. The standard refrigeration technology, based on vapour compression, is old, inefficient and environmentally harmful. In the SUPERCOOL project we will exploit the potential of elastocaloric cooling, probably the most promising solid-state refrigeration technology, which utilizes the latent heat associated with the martensitic transformation in superelastic shape-memory alloys. We have already demonstrated a novel concept of utilizing the elastocaloric effect (eCE) by introducing a superelastic porous structure in an elastocaloric regenerative thermodynamic cycle. Our preliminary results, recently published in Nature Energy, show the tremendous potential of such a system. However, two fundamental challenges remain. First, we need to create a geometry of the superelastic porous structure (elastocaloric regenerator) to ensure sufficient fatigue life, a large eCE and rapid heat transfer. Second, we must have a driver mechanism that can effectively utilize the work released during the unloading of the elastocaloric regenerator. To succeed I am proposing a unique approach to design advanced elastocaloric regenerators with complex structures together with a driver mechanism with the force-recovery principle. We will employ a systematic characterization and bottom-up linking of all three crucial aspects of the elastocaloric regenerator, i.e., the thermo-hydraulic properties, the stability and the structural fatigue, together with a new solution for force recovery in effective drivers. Based on these theoretical, numerical and experimental results we will combine both key elements of our novel elastocaloric concept into a prototype device, which could be the first major breakthrough in cooling technologies for 100 years, providing greater efficiency and reduced levels of pollution, by applying a solid-state refrigerant.
Summary
Cooling, refrigeration and air-conditioning are crucial for our modern society. In the last decade, the global demands for cooling are growing exponentially. The standard refrigeration technology, based on vapour compression, is old, inefficient and environmentally harmful. In the SUPERCOOL project we will exploit the potential of elastocaloric cooling, probably the most promising solid-state refrigeration technology, which utilizes the latent heat associated with the martensitic transformation in superelastic shape-memory alloys. We have already demonstrated a novel concept of utilizing the elastocaloric effect (eCE) by introducing a superelastic porous structure in an elastocaloric regenerative thermodynamic cycle. Our preliminary results, recently published in Nature Energy, show the tremendous potential of such a system. However, two fundamental challenges remain. First, we need to create a geometry of the superelastic porous structure (elastocaloric regenerator) to ensure sufficient fatigue life, a large eCE and rapid heat transfer. Second, we must have a driver mechanism that can effectively utilize the work released during the unloading of the elastocaloric regenerator. To succeed I am proposing a unique approach to design advanced elastocaloric regenerators with complex structures together with a driver mechanism with the force-recovery principle. We will employ a systematic characterization and bottom-up linking of all three crucial aspects of the elastocaloric regenerator, i.e., the thermo-hydraulic properties, the stability and the structural fatigue, together with a new solution for force recovery in effective drivers. Based on these theoretical, numerical and experimental results we will combine both key elements of our novel elastocaloric concept into a prototype device, which could be the first major breakthrough in cooling technologies for 100 years, providing greater efficiency and reduced levels of pollution, by applying a solid-state refrigerant.
Max ERC Funding
1 359 375 €
Duration
Start date: 2019-01-01, End date: 2023-12-31
Project acronym USEMS
Project Uncovering the Secrets of an Earthquake: Multidisciplinary Study of Physico-Chemical Processes During the Seismic Cycle
Researcher (PI) Giulio Di Toro
Host Institution (HI) ISTITUTO NAZIONALE DI GEOFISICA E VULCANOLOGIA
Call Details Starting Grant (StG), PE8, ERC-2007-StG
Summary Southern Europe and Turkey lie within the highest seismic risk areas in the world. Understanding the physico-chemical processes controlling earthquake generation is essential in seismic hazard assessment. Destructive earthquakes nucleate at depth (10-15 km), therefore monitoring active faults at the Earth’s surface, or interpreting seismic waves, yields only limited information on earthquake mechanics. We propose to investigate earthquake processes by: 1) installing a new world class high velocity rock friction apparatus to perform experiments under deformation conditions typical of earthquakes; 2) studying fossil seismic sources now exhumed at the Earth's surface; 3) analyzing natural and experimental fault rock materials using a novel multidisciplinary approach involving state of the art techniques in microstructural analysis, mineralogy and petrology; 4) producing new theoretical earthquake models calibrated (and tightly constrained) by field observations, mechanical data from rock-friction experiments and analyses of natural and experimental fault rocks. The integration of such an original and complementary data set shall provide an unprecedented insight into the mechanics of seismic faulting. The installation of the new dedicated rock friction apparatus will allow the European Union to become a key world player competing at the top scientific level in the study of earthquake mechanics. The proposed study has additional implications for understanding other friction-controlled processes important in Earth sciences and hazard mitigation (e.g., rock landslides). Friction also has broad applications in the industry, including innovative but poorly understood production processes. Our experimental results will help to improve industrial milling techniques and investigate the mechanical-chemical transformations induced during milling. The latter is the basis of a new technique for the production of hydrocarbons and hydrogen from inorganic and organic materials.
Summary
Southern Europe and Turkey lie within the highest seismic risk areas in the world. Understanding the physico-chemical processes controlling earthquake generation is essential in seismic hazard assessment. Destructive earthquakes nucleate at depth (10-15 km), therefore monitoring active faults at the Earth’s surface, or interpreting seismic waves, yields only limited information on earthquake mechanics. We propose to investigate earthquake processes by: 1) installing a new world class high velocity rock friction apparatus to perform experiments under deformation conditions typical of earthquakes; 2) studying fossil seismic sources now exhumed at the Earth's surface; 3) analyzing natural and experimental fault rock materials using a novel multidisciplinary approach involving state of the art techniques in microstructural analysis, mineralogy and petrology; 4) producing new theoretical earthquake models calibrated (and tightly constrained) by field observations, mechanical data from rock-friction experiments and analyses of natural and experimental fault rocks. The integration of such an original and complementary data set shall provide an unprecedented insight into the mechanics of seismic faulting. The installation of the new dedicated rock friction apparatus will allow the European Union to become a key world player competing at the top scientific level in the study of earthquake mechanics. The proposed study has additional implications for understanding other friction-controlled processes important in Earth sciences and hazard mitigation (e.g., rock landslides). Friction also has broad applications in the industry, including innovative but poorly understood production processes. Our experimental results will help to improve industrial milling techniques and investigate the mechanical-chemical transformations induced during milling. The latter is the basis of a new technique for the production of hydrocarbons and hydrogen from inorganic and organic materials.
Max ERC Funding
1 992 000 €
Duration
Start date: 2008-06-01, End date: 2013-05-31