Project acronym 2D4D
Project Disruptive Digitalization for Decarbonization
Researcher (PI) Elena Verdolini
Host Institution (HI) UNIVERSITA DEGLI STUDI DI BRESCIA
Country Italy
Call Details Starting Grant (StG), SH2, ERC-2019-STG
Summary By 2040, all major sectors of the European economy will be deeply digitalized. By then, the EU aims at reducing greenhouse gas emissions by 60% with respect to 1990 levels. Digitalization will affect decarbonization efforts because of its impacts on energy demand, employment, competitiveness, trade patterns and its distributional, behavioural and ethical implications. Yet, the policy debates around these two transformations are largely disjoint.
The aim of the 2D4D project is ensure that the digital revolution acts as an enabler – and not as a barrier – for decarbonization. The project quantifies the decarbonization implications of three disruptive digitalization technologies in hard-to-decarbonize sectors: (1) Additive Manufacturing in industry, (2) Mobility-as-a-Service in transportation, and (3) Artificial Intelligence in buildings.
The first objective of 2D4D is to generate a one-of-a-kind data collection to investigate the technical and socio-economic dynamics of these technologies, and how they may affect decarbonization narratives and scenarios. This will be achieved through several data collection methods, including desk research, surveys and expert elicitations.
The second objective of 2D4D is to include digitalization dynamics in decarbonization narratives and pathways. On the one hand, this entails enhancing decarbonization narratives (specifically, the Shared Socio-economic Pathways) to describe digitalization dynamics. On the other hand, it requires improving the representation of sector-specific digitalization dynamics in Integrated Assessment Models, one of the main tools available to generate decarbonization pathways.
The third objective of 2D4D is to identify no-regret, robust policy portfolios. These will be designed to ensure that digitalization unfolds in an inclusive, climate-beneficial way, and that decarbonization policies capitalize on digital technologies to support the energy transition.
Summary
By 2040, all major sectors of the European economy will be deeply digitalized. By then, the EU aims at reducing greenhouse gas emissions by 60% with respect to 1990 levels. Digitalization will affect decarbonization efforts because of its impacts on energy demand, employment, competitiveness, trade patterns and its distributional, behavioural and ethical implications. Yet, the policy debates around these two transformations are largely disjoint.
The aim of the 2D4D project is ensure that the digital revolution acts as an enabler – and not as a barrier – for decarbonization. The project quantifies the decarbonization implications of three disruptive digitalization technologies in hard-to-decarbonize sectors: (1) Additive Manufacturing in industry, (2) Mobility-as-a-Service in transportation, and (3) Artificial Intelligence in buildings.
The first objective of 2D4D is to generate a one-of-a-kind data collection to investigate the technical and socio-economic dynamics of these technologies, and how they may affect decarbonization narratives and scenarios. This will be achieved through several data collection methods, including desk research, surveys and expert elicitations.
The second objective of 2D4D is to include digitalization dynamics in decarbonization narratives and pathways. On the one hand, this entails enhancing decarbonization narratives (specifically, the Shared Socio-economic Pathways) to describe digitalization dynamics. On the other hand, it requires improving the representation of sector-specific digitalization dynamics in Integrated Assessment Models, one of the main tools available to generate decarbonization pathways.
The third objective of 2D4D is to identify no-regret, robust policy portfolios. These will be designed to ensure that digitalization unfolds in an inclusive, climate-beneficial way, and that decarbonization policies capitalize on digital technologies to support the energy transition.
Max ERC Funding
1 498 375 €
Duration
Start date: 2020-10-01, End date: 2025-09-30
Project acronym 2DNanoSpec
Project Nanoscale Vibrational Spectroscopy of Sensitive 2D Molecular Materials
Researcher (PI) Renato ZENOBI
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Country Switzerland
Call Details Advanced Grant (AdG), PE4, ERC-2016-ADG
Summary I propose to investigate the nanometer scale organization of delicate 2-dimensional molecular materials using nanoscale vibrational spectroscopy. 2D structures are of great scientific and technological importance, for example as novel materials (graphene, MoS2, WS2, etc.), and in the form of biological membranes and synthetic 2D-polymers. Powerful methods for their analysis and imaging with molecular selectivity and sufficient spatial resolution, however, are lacking. Tip-enhanced Raman spectroscopy (TERS) allows label-free spectroscopic identification of molecular species, with ≈10 nm spatial resolution, and with single molecule sensitivity for strong Raman scatterers. So far, however, TERS is not being carried out in liquids, which is the natural environment for membranes, and its application to poor Raman scatterers such as components of 2D polymers, lipids, or other membrane compounds (proteins, sugars) is difficult. TERS has the potential to overcome the restrictions of other optical/spectroscopic methods to study 2D materials, namely (i) insufficient spatial resolution of diffraction-limited optical methods; (ii) the need for labelling for all methods relying on fluorescence; and (iii) the inability of some methods to work in liquids. I propose to address a number of scientific questions associated with the spatial organization, and the occurrence of defects in sensitive 2D molecular materials. The success of these studies will also rely critically on technical innovations of TERS that notably address the problem of energy dissipation. This will for the first time allow its application to study of complex, delicate 2D molecular systems without photochemical damage.
Summary
I propose to investigate the nanometer scale organization of delicate 2-dimensional molecular materials using nanoscale vibrational spectroscopy. 2D structures are of great scientific and technological importance, for example as novel materials (graphene, MoS2, WS2, etc.), and in the form of biological membranes and synthetic 2D-polymers. Powerful methods for their analysis and imaging with molecular selectivity and sufficient spatial resolution, however, are lacking. Tip-enhanced Raman spectroscopy (TERS) allows label-free spectroscopic identification of molecular species, with ≈10 nm spatial resolution, and with single molecule sensitivity for strong Raman scatterers. So far, however, TERS is not being carried out in liquids, which is the natural environment for membranes, and its application to poor Raman scatterers such as components of 2D polymers, lipids, or other membrane compounds (proteins, sugars) is difficult. TERS has the potential to overcome the restrictions of other optical/spectroscopic methods to study 2D materials, namely (i) insufficient spatial resolution of diffraction-limited optical methods; (ii) the need for labelling for all methods relying on fluorescence; and (iii) the inability of some methods to work in liquids. I propose to address a number of scientific questions associated with the spatial organization, and the occurrence of defects in sensitive 2D molecular materials. The success of these studies will also rely critically on technical innovations of TERS that notably address the problem of energy dissipation. This will for the first time allow its application to study of complex, delicate 2D molecular systems without photochemical damage.
Max ERC Funding
2 311 696 €
Duration
Start date: 2017-09-01, End date: 2022-08-31
Project acronym 2LIVEr
Project IL-2 gene therapy for chronic hepatitis B virus infection
Researcher (PI) Matteo IANNACONE
Host Institution (HI) OSPEDALE SAN RAFFAELE SRL
Country Italy
Call Details Proof of Concept (PoC), ERC-2020-PoC
Summary Hepatitis B virus (HBV) infections remain a major public health issue worldwide. Over 350 -400 million people are chronically infected by HBV, and about 1 million people die each year from the complications of this infection (cirrhosis and hepatocellular carcinoma) with a consequent hefty economic impact on national health systems. This led the World Health Organization to recognise HBV infection as a key priority and adopt the global health sector strategy to eliminate viral hepatitis, with a target of reducing new infections by 90% and mortality by 65% by 2030.
The risk of developing a chronic infection in healthy adults is due to a weaker, dysfunctional and narrowly focused CD8+ T cell response. Since the mechanisms underlying HBV persistence are not fully elucidated, current treatments (antiviral drugs and Interferon) aim to reduce the development of liver disease, while a definitive treatment for curing this infection is not yet available on the market.
Within the ERC Consolidator Grant 725038 “FATE”, we recently characterized the mechanisms behind the ineffective CD8+ T cell response towards HBV, demonstrating the potential efficacy of interleukin-2 (IL-2) – a cytokine – to reactivate it, thus achieving antiviral activity. This discovery, jointly with our proprietary third-generation, self-inactivating lentiviral vectors (LVs) that allow selective hepatocellular expression of IL-2, pave the way to single-dose gene therapy-based approach, a potential functional cure against chronic hepatitis B.
2LIVEr project intends to optimize and further validate our novel therapeutic approach from both a technical and commercial standpoint, moving from TRL3 to TRL4, thus fastening the roadmap towards the market.
Summary
Hepatitis B virus (HBV) infections remain a major public health issue worldwide. Over 350 -400 million people are chronically infected by HBV, and about 1 million people die each year from the complications of this infection (cirrhosis and hepatocellular carcinoma) with a consequent hefty economic impact on national health systems. This led the World Health Organization to recognise HBV infection as a key priority and adopt the global health sector strategy to eliminate viral hepatitis, with a target of reducing new infections by 90% and mortality by 65% by 2030.
The risk of developing a chronic infection in healthy adults is due to a weaker, dysfunctional and narrowly focused CD8+ T cell response. Since the mechanisms underlying HBV persistence are not fully elucidated, current treatments (antiviral drugs and Interferon) aim to reduce the development of liver disease, while a definitive treatment for curing this infection is not yet available on the market.
Within the ERC Consolidator Grant 725038 “FATE”, we recently characterized the mechanisms behind the ineffective CD8+ T cell response towards HBV, demonstrating the potential efficacy of interleukin-2 (IL-2) – a cytokine – to reactivate it, thus achieving antiviral activity. This discovery, jointly with our proprietary third-generation, self-inactivating lentiviral vectors (LVs) that allow selective hepatocellular expression of IL-2, pave the way to single-dose gene therapy-based approach, a potential functional cure against chronic hepatitis B.
2LIVEr project intends to optimize and further validate our novel therapeutic approach from both a technical and commercial standpoint, moving from TRL3 to TRL4, thus fastening the roadmap towards the market.
Max ERC Funding
150 000 €
Duration
Start date: 2020-07-01, End date: 2021-12-31
Project acronym 2STEPPARKIN
Project A novel two-step model for neurodegeneration in Parkinson’s disease
Researcher (PI) Emi Nagoshi
Host Institution (HI) UNIVERSITE DE GENEVE
Country Switzerland
Call Details Starting Grant (StG), LS5, ERC-2012-StG_20111109
Summary Parkinson’s disease (PD) is the second most common neurodegenerative disorder primarily caused by the progressive loss of dopaminergic (DA) neurons in the substantia nigra (SN). Despite the advances in gene discovery associated with PD, the knowledge of the PD pathogenesis is largely limited to the involvement of these genes in the generic cell death pathways, and why degeneration is specific to DA neurons and why the degeneration is progressive remain enigmatic. Broad goal of our work is therefore to elucidate the mechanisms underlying specific and progressive DA neuron degeneration in PD. Our new Drosophila model of PD ⎯Fer2 gene loss-of-function mutation⎯ is unusually well suited to address these questions. Fer2 mutants exhibit specific and progressive death of brain DA neurons as well as severe locomotor defects and short life span. Strikingly, the death of DA neuron is initiated in a small cluster of Fer2-expressing DA neurons and subsequently propagates to Fer2-negative DA neurons. We therefore propose a novel two-step model of the neurodegeneration in PD: primary cell death occurs in a specific subset of dopamindegic neurons that are genetically defined, and subsequently the failure of the neuronal connectivity triggers and propagates secondary cell death to remaining DA neurons. In this research, we will test this hypothesis and investigate the underlying molecular mechanisms. This will be the first study to examine circuit-dependency in DA neuron degeneration. Our approach will use a combination of non-biased genomic techniques and candidate-based screening, in addition to the powerful Drosophila genetic toolbox. Furthermore, to test this hypothesis beyond the Drosophila model, we will establish new mouse models of PD that exhibit progressive DA neuron degeneration. Outcome of this research will likely revolutionize the understanding of PD pathogenesis and open an avenue toward the discovery of effective therapy strategies against PD.
Summary
Parkinson’s disease (PD) is the second most common neurodegenerative disorder primarily caused by the progressive loss of dopaminergic (DA) neurons in the substantia nigra (SN). Despite the advances in gene discovery associated with PD, the knowledge of the PD pathogenesis is largely limited to the involvement of these genes in the generic cell death pathways, and why degeneration is specific to DA neurons and why the degeneration is progressive remain enigmatic. Broad goal of our work is therefore to elucidate the mechanisms underlying specific and progressive DA neuron degeneration in PD. Our new Drosophila model of PD ⎯Fer2 gene loss-of-function mutation⎯ is unusually well suited to address these questions. Fer2 mutants exhibit specific and progressive death of brain DA neurons as well as severe locomotor defects and short life span. Strikingly, the death of DA neuron is initiated in a small cluster of Fer2-expressing DA neurons and subsequently propagates to Fer2-negative DA neurons. We therefore propose a novel two-step model of the neurodegeneration in PD: primary cell death occurs in a specific subset of dopamindegic neurons that are genetically defined, and subsequently the failure of the neuronal connectivity triggers and propagates secondary cell death to remaining DA neurons. In this research, we will test this hypothesis and investigate the underlying molecular mechanisms. This will be the first study to examine circuit-dependency in DA neuron degeneration. Our approach will use a combination of non-biased genomic techniques and candidate-based screening, in addition to the powerful Drosophila genetic toolbox. Furthermore, to test this hypothesis beyond the Drosophila model, we will establish new mouse models of PD that exhibit progressive DA neuron degeneration. Outcome of this research will likely revolutionize the understanding of PD pathogenesis and open an avenue toward the discovery of effective therapy strategies against PD.
Max ERC Funding
1 518 960 €
Duration
Start date: 2013-06-01, End date: 2018-05-31
Project acronym 321
Project from Cubic To Linear complexity in computational electromagnetics
Researcher (PI) Francesco Paolo ANDRIULLI
Host Institution (HI) POLITECNICO DI TORINO
Country Italy
Call Details Consolidator Grant (CoG), PE7, ERC-2016-COG
Summary Computational Electromagnetics (CEM) is the scientific field at the origin of all new modeling and simulation tools required by the constantly arising design challenges of emerging and future technologies in applied electromagnetics. As in many other technological fields, however, the trend in all emerging technologies in electromagnetic engineering is going towards miniaturized, higher density and multi-scale scenarios. Computationally speaking this translates in the steep increase of the number of degrees of freedom. Given that the design cost (the cost of a multi-right-hand side problem dominated by matrix inversion) can scale as badly as cubically with these degrees of freedom, this fact, as pointed out by many, will sensibly compromise the practical impact of CEM on future and emerging technologies.
For this reason, the CEM scientific community has been looking for years for a FFT-like paradigm shift: a dynamic fast direct solver providing a design cost that would scale only linearly with the degrees of freedom. Such a fast solver is considered today a Holy Grail of the discipline.
The Grand Challenge of 321 will be to tackle this Holy Grail in Computational Electromagnetics by investigating a dynamic Fast Direct Solver for Maxwell Problems that would run in a linear-instead-of-cubic complexity for an arbitrary number and configuration of degrees of freedom.
The failure of all previous attempts will be overcome by a game-changing transformation of the CEM classical problem that will leverage on a recent breakthrough of the PI. Starting from this, the project will investigate an entire new paradigm for impacting algorithms to achieve this grand challenge.
The impact of the FFT’s quadratic-to-linear paradigm shift shows how computational complexity reductions can be groundbreaking on applications. The cubic-to-linear paradigm shift, which the 321 project will aim for, will have such a rupturing impact on electromagnetic science and technology.
Summary
Computational Electromagnetics (CEM) is the scientific field at the origin of all new modeling and simulation tools required by the constantly arising design challenges of emerging and future technologies in applied electromagnetics. As in many other technological fields, however, the trend in all emerging technologies in electromagnetic engineering is going towards miniaturized, higher density and multi-scale scenarios. Computationally speaking this translates in the steep increase of the number of degrees of freedom. Given that the design cost (the cost of a multi-right-hand side problem dominated by matrix inversion) can scale as badly as cubically with these degrees of freedom, this fact, as pointed out by many, will sensibly compromise the practical impact of CEM on future and emerging technologies.
For this reason, the CEM scientific community has been looking for years for a FFT-like paradigm shift: a dynamic fast direct solver providing a design cost that would scale only linearly with the degrees of freedom. Such a fast solver is considered today a Holy Grail of the discipline.
The Grand Challenge of 321 will be to tackle this Holy Grail in Computational Electromagnetics by investigating a dynamic Fast Direct Solver for Maxwell Problems that would run in a linear-instead-of-cubic complexity for an arbitrary number and configuration of degrees of freedom.
The failure of all previous attempts will be overcome by a game-changing transformation of the CEM classical problem that will leverage on a recent breakthrough of the PI. Starting from this, the project will investigate an entire new paradigm for impacting algorithms to achieve this grand challenge.
The impact of the FFT’s quadratic-to-linear paradigm shift shows how computational complexity reductions can be groundbreaking on applications. The cubic-to-linear paradigm shift, which the 321 project will aim for, will have such a rupturing impact on electromagnetic science and technology.
Max ERC Funding
2 000 000 €
Duration
Start date: 2017-09-01, End date: 2023-08-31
Project acronym 3D-COUNT
Project 3D-Integrated single photon detector
Researcher (PI) Fabio SCIARRINO
Host Institution (HI) UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Country Italy
Call Details Proof of Concept (PoC), PC1, ERC-2015-PoC
Summary Photonics, in recognition of its strategic significance and pervasiveness throughout many industrial sectors, has been identified as one of the Key Enabling Technologies for Europe. Photonics in combination with quantum information science has great potential to facilitate, transform and innovate future technologies for the better. The Proof of Concept (PoC) project intends to contribute to this by developing and testing a communication platform prototype, comprised of single photon detectors, which are efficiently coupled to single mode fibers using an innovative laser written device. This enables the integration of single photon detectors on innovative glass waveguides. These glass integrated photonic circuits offer excellent specifics for on-chip quantum optics implementations in terms of scattering losses, offering flexibility of the waveguide geometry and ensuring high coupling efficiency with optical fibers.
The device developed and tested in the PoC, directly addresses a market need for an integrated and efficient on-chip communication systems. Current available systems have limitations involving high costs, complex production, and inefficient coupling of detectors to optical fibers. The proposed platform will offer 1.) a simplified production process, 2.) high optical fiber coupling efficiency 3.) improved performance levels, 4.) high cost efficiency, and 5.) compactness. Such systems can be applied in a wide range of communication and non-communication applications, such as free-space optical communication, quantum communication, quantum cryptography, DNA sequencing, single molecule detection and material analysis. Moreover, the future commercialisation of quantum computing is expected to create a vast demand for these communication systems.
In addition to the technology PoC, the project carries out IPR strategy considerations through patenting actions, determines the market potential, seeks market feedback, and plans for post-PoC commercialisation paths.
Summary
Photonics, in recognition of its strategic significance and pervasiveness throughout many industrial sectors, has been identified as one of the Key Enabling Technologies for Europe. Photonics in combination with quantum information science has great potential to facilitate, transform and innovate future technologies for the better. The Proof of Concept (PoC) project intends to contribute to this by developing and testing a communication platform prototype, comprised of single photon detectors, which are efficiently coupled to single mode fibers using an innovative laser written device. This enables the integration of single photon detectors on innovative glass waveguides. These glass integrated photonic circuits offer excellent specifics for on-chip quantum optics implementations in terms of scattering losses, offering flexibility of the waveguide geometry and ensuring high coupling efficiency with optical fibers.
The device developed and tested in the PoC, directly addresses a market need for an integrated and efficient on-chip communication systems. Current available systems have limitations involving high costs, complex production, and inefficient coupling of detectors to optical fibers. The proposed platform will offer 1.) a simplified production process, 2.) high optical fiber coupling efficiency 3.) improved performance levels, 4.) high cost efficiency, and 5.) compactness. Such systems can be applied in a wide range of communication and non-communication applications, such as free-space optical communication, quantum communication, quantum cryptography, DNA sequencing, single molecule detection and material analysis. Moreover, the future commercialisation of quantum computing is expected to create a vast demand for these communication systems.
In addition to the technology PoC, the project carries out IPR strategy considerations through patenting actions, determines the market potential, seeks market feedback, and plans for post-PoC commercialisation paths.
Max ERC Funding
150 000 €
Duration
Start date: 2016-02-01, End date: 2017-07-31
Project acronym 3D-QUEST
Project 3D-Quantum Integrated Optical Simulation
Researcher (PI) Fabio Sciarrino
Host Institution (HI) UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Country Italy
Call Details Starting Grant (StG), PE2, ERC-2012-StG_20111012
Summary "Quantum information was born from the merging of classical information and quantum physics. Its main objective consists of understanding the quantum nature of information and learning how to process it by using physical systems which operate by following quantum mechanics laws. Quantum simulation is a fundamental instrument to investigate phenomena of quantum systems dynamics, such as quantum transport, particle localizations and energy transfer, quantum-to-classical transition, and even quantum improved computation, all tasks that are hard to simulate with classical approaches. Within this framework integrated photonic circuits have a strong potential to realize quantum information processing by optical systems.
The aim of 3D-QUEST is to develop and implement quantum simulation by exploiting 3-dimensional integrated photonic circuits. 3D-QUEST is structured to demonstrate the potential of linear optics to implement a computational power beyond the one of a classical computer. Such ""hard-to-simulate"" scenario is disclosed when multiphoton-multimode platforms are realized. The 3D-QUEST research program will focus on three tasks of growing difficulty.
A-1. To simulate bosonic-fermionic dynamics with integrated optical systems acting on 2 photon entangled states.
A-2. To pave the way towards hard-to-simulate, scalable quantum linear optical circuits by investigating m-port interferometers acting on n-photon states with n>2.
A-3. To exploit 3-dimensional integrated structures for the observation of new quantum optical phenomena and for the quantum simulation of more complex scenarios.
3D-QUEST will exploit the potential of the femtosecond laser writing integrated waveguides. This technique will be adopted to realize 3-dimensional capabilities and high flexibility, bringing in this way the optical quantum simulation in to new regime."
Summary
"Quantum information was born from the merging of classical information and quantum physics. Its main objective consists of understanding the quantum nature of information and learning how to process it by using physical systems which operate by following quantum mechanics laws. Quantum simulation is a fundamental instrument to investigate phenomena of quantum systems dynamics, such as quantum transport, particle localizations and energy transfer, quantum-to-classical transition, and even quantum improved computation, all tasks that are hard to simulate with classical approaches. Within this framework integrated photonic circuits have a strong potential to realize quantum information processing by optical systems.
The aim of 3D-QUEST is to develop and implement quantum simulation by exploiting 3-dimensional integrated photonic circuits. 3D-QUEST is structured to demonstrate the potential of linear optics to implement a computational power beyond the one of a classical computer. Such ""hard-to-simulate"" scenario is disclosed when multiphoton-multimode platforms are realized. The 3D-QUEST research program will focus on three tasks of growing difficulty.
A-1. To simulate bosonic-fermionic dynamics with integrated optical systems acting on 2 photon entangled states.
A-2. To pave the way towards hard-to-simulate, scalable quantum linear optical circuits by investigating m-port interferometers acting on n-photon states with n>2.
A-3. To exploit 3-dimensional integrated structures for the observation of new quantum optical phenomena and for the quantum simulation of more complex scenarios.
3D-QUEST will exploit the potential of the femtosecond laser writing integrated waveguides. This technique will be adopted to realize 3-dimensional capabilities and high flexibility, bringing in this way the optical quantum simulation in to new regime."
Max ERC Funding
1 474 800 €
Duration
Start date: 2012-08-01, End date: 2017-07-31
Project acronym 3DPBio
Project Computational Models of Motion for Fabrication-aware Design of Bioinspired Systems
Researcher (PI) Stelian Coros
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Country Switzerland
Call Details Consolidator Grant (CoG), PE6, ERC-2019-COG
Summary "Bridging the fields of Computer Animation and Computational Fabrication, this proposal will establish the foundations for algorithmic design of physical structures that can generate lifelike movements. Driven by embedded actuators, these types of structures will enable an abundance of possibilities for a wide array of real-world technologies: animatronic characters whose organic motions will enhance their ability to awe, entertain and educate; soft robotic creatures that are both skilled and safe to be around; patient-specific prosthetics and wearable devices that match the soft touch of the human body, etc. Recent advances in additive manufacturing (AM) technologies are particularly exciting in this context, as they allow us to create designs of unparalleled geometric complexity using a constantly expanding range of materials. And if past developments are an indication, within the next decade we will be able to fabricate physical structures that approach, at least at the macro scale, the functional sophistication of their biological counterparts. However, while this unprecedented capability enables fascinating opportunities, it also leads to an explosion in the dimensionality of the space that must be explored during the design process. As AM technologies keep evolving, the gap between ""what we can produce"" and ""what we can design"" is therefore rapidly growing.
To effectively leverage the extraordinary design possibilities enabled by AM, 3DPBio will develop the computational and mathematical foundations required to study a fundamental scientific question: how are physical deformations, mechanical movements and overall functional capabilities governed by geometric shape features, material compositions and the design of compliant actuation systems? By enabling computers to reason about this question, our work will establish new ways to algorithmically create digital designs that can be turned into mechanical lifeforms at the push of a button."
Summary
"Bridging the fields of Computer Animation and Computational Fabrication, this proposal will establish the foundations for algorithmic design of physical structures that can generate lifelike movements. Driven by embedded actuators, these types of structures will enable an abundance of possibilities for a wide array of real-world technologies: animatronic characters whose organic motions will enhance their ability to awe, entertain and educate; soft robotic creatures that are both skilled and safe to be around; patient-specific prosthetics and wearable devices that match the soft touch of the human body, etc. Recent advances in additive manufacturing (AM) technologies are particularly exciting in this context, as they allow us to create designs of unparalleled geometric complexity using a constantly expanding range of materials. And if past developments are an indication, within the next decade we will be able to fabricate physical structures that approach, at least at the macro scale, the functional sophistication of their biological counterparts. However, while this unprecedented capability enables fascinating opportunities, it also leads to an explosion in the dimensionality of the space that must be explored during the design process. As AM technologies keep evolving, the gap between ""what we can produce"" and ""what we can design"" is therefore rapidly growing.
To effectively leverage the extraordinary design possibilities enabled by AM, 3DPBio will develop the computational and mathematical foundations required to study a fundamental scientific question: how are physical deformations, mechanical movements and overall functional capabilities governed by geometric shape features, material compositions and the design of compliant actuation systems? By enabling computers to reason about this question, our work will establish new ways to algorithmically create digital designs that can be turned into mechanical lifeforms at the push of a button."
Max ERC Funding
2 000 000 €
Duration
Start date: 2020-02-01, End date: 2025-01-31
Project acronym 3DSPIN
Project 3-Dimensional Maps of the Spinning Nucleon
Researcher (PI) Alessandro Bacchetta
Host Institution (HI) UNIVERSITA DEGLI STUDI DI PAVIA
Country Italy
Call Details Consolidator Grant (CoG), PE2, ERC-2014-CoG
Summary How does the inside of the proton look like? What generates its spin?
3DSPIN will deliver essential information to answer these questions at the frontier of subnuclear physics.
At present, we have detailed maps of the distribution of quarks and gluons in the nucleon in 1D (as a function of their momentum in a single direction). We also know that quark spins account for only about 1/3 of the spin of the nucleon.
3DSPIN will lead the way into a new stage of nucleon mapping, explore the distribution of quarks in full 3D momentum space and obtain unprecedented information on orbital angular momentum.
Goals
1. extract from experimental data the 3D distribution of quarks (in momentum space), as described by Transverse-Momentum Distributions (TMDs);
2. obtain from TMDs information on quark Orbital Angular Momentum (OAM).
Methodology
3DSPIN will implement state-of-the-art fitting procedures to analyze relevant experimental data and extract quark TMDs, similarly to global fits of standard parton distribution functions. Information about quark angular momentum will be obtained through assumptions based on theoretical considerations. The next five years represent an ideal time window to accomplish our goals, thanks to the wealth of expected data from deep-inelastic scattering experiments (COMPASS, Jefferson Lab), hadronic colliders (Fermilab, BNL, LHC), and electron-positron colliders (BELLE, BABAR). The PI has a strong reputation in this field. The group will operate in partnership with the Italian National Institute of Nuclear Physics and in close interaction with leading experts and experimental collaborations worldwide.
Impact
Mapping the 3D structure of chemical compounds has revolutionized chemistry. Similarly, mapping the 3D structure of the nucleon will have a deep impact on our understanding of the fundamental constituents of matter. We will open new perspectives on the dynamics of quarks and gluons and sharpen our view of high-energy processes involving nucleons.
Summary
How does the inside of the proton look like? What generates its spin?
3DSPIN will deliver essential information to answer these questions at the frontier of subnuclear physics.
At present, we have detailed maps of the distribution of quarks and gluons in the nucleon in 1D (as a function of their momentum in a single direction). We also know that quark spins account for only about 1/3 of the spin of the nucleon.
3DSPIN will lead the way into a new stage of nucleon mapping, explore the distribution of quarks in full 3D momentum space and obtain unprecedented information on orbital angular momentum.
Goals
1. extract from experimental data the 3D distribution of quarks (in momentum space), as described by Transverse-Momentum Distributions (TMDs);
2. obtain from TMDs information on quark Orbital Angular Momentum (OAM).
Methodology
3DSPIN will implement state-of-the-art fitting procedures to analyze relevant experimental data and extract quark TMDs, similarly to global fits of standard parton distribution functions. Information about quark angular momentum will be obtained through assumptions based on theoretical considerations. The next five years represent an ideal time window to accomplish our goals, thanks to the wealth of expected data from deep-inelastic scattering experiments (COMPASS, Jefferson Lab), hadronic colliders (Fermilab, BNL, LHC), and electron-positron colliders (BELLE, BABAR). The PI has a strong reputation in this field. The group will operate in partnership with the Italian National Institute of Nuclear Physics and in close interaction with leading experts and experimental collaborations worldwide.
Impact
Mapping the 3D structure of chemical compounds has revolutionized chemistry. Similarly, mapping the 3D structure of the nucleon will have a deep impact on our understanding of the fundamental constituents of matter. We will open new perspectives on the dynamics of quarks and gluons and sharpen our view of high-energy processes involving nucleons.
Max ERC Funding
1 509 000 €
Duration
Start date: 2015-07-01, End date: 2020-12-31
Project acronym 3DV
Project Sensor for 3D Vision
Researcher (PI) Alberto BROGGI
Host Institution (HI) UNIVERSITA DEGLI STUDI DI PARMA
Country Italy
Call Details Proof of Concept (PoC), PC1, ERC-2011-PoC
Summary "A low-cost sensor able to perceive 3D information would be a breakthrough for a number of applications. Automotive applications would benefit from a low-cost obstacle detector to increase road safety; agricultural vehicles would be able to sense the environment and perform precise (and even autonomous) maneuvers improving their effectiveness; efficient sensing would be a key also to future building automation: elevators doors would close just after boarding and keep open when detecting people's intention to enter, automatic doors would not open when individuals would move in their sensed area but without the intention to cross the door. Even the entertainment industry, which lately invested massively on innovative and interactive sensors, would benefit from precise 3D sensors working even outdoor or in combination with multiple identical sensors.
This proposal is aimed at preparing an engineered version of the current stereo-based system developed for vehicles within the OFAV ERC-funded Advanced Grant and currently under test in many other application domains. It is based on two microcameras and a smart software reconstructing the 3D environment; the software will be ported on a low-cost FPGA+DSP integrated into the sensor box, providing a small and light passive sensor for a variety of applications that nowadays either use other technologies (laser based) or are not able to reach the performance provided by this sensor (e.g. IR-based elevators' door control which is not working in highly illuminated sites and covers only smaller areas).
The algorithm which is now working on a PC-based platform is owned by the team working for the OFAV Project and delivers superb results in terms of accuracy. This proposal is intended to provide resources to implement this solution in hardware and produce a low-cost, small-sized, and high performance sensor to be used in a very wide range of applications."
Summary
"A low-cost sensor able to perceive 3D information would be a breakthrough for a number of applications. Automotive applications would benefit from a low-cost obstacle detector to increase road safety; agricultural vehicles would be able to sense the environment and perform precise (and even autonomous) maneuvers improving their effectiveness; efficient sensing would be a key also to future building automation: elevators doors would close just after boarding and keep open when detecting people's intention to enter, automatic doors would not open when individuals would move in their sensed area but without the intention to cross the door. Even the entertainment industry, which lately invested massively on innovative and interactive sensors, would benefit from precise 3D sensors working even outdoor or in combination with multiple identical sensors.
This proposal is aimed at preparing an engineered version of the current stereo-based system developed for vehicles within the OFAV ERC-funded Advanced Grant and currently under test in many other application domains. It is based on two microcameras and a smart software reconstructing the 3D environment; the software will be ported on a low-cost FPGA+DSP integrated into the sensor box, providing a small and light passive sensor for a variety of applications that nowadays either use other technologies (laser based) or are not able to reach the performance provided by this sensor (e.g. IR-based elevators' door control which is not working in highly illuminated sites and covers only smaller areas).
The algorithm which is now working on a PC-based platform is owned by the team working for the OFAV Project and delivers superb results in terms of accuracy. This proposal is intended to provide resources to implement this solution in hardware and produce a low-cost, small-sized, and high performance sensor to be used in a very wide range of applications."
Max ERC Funding
148 061 €
Duration
Start date: 2012-06-01, End date: 2013-10-31