Project acronym 123STABLE
Project Towards Nanostructured Electrocatalysts with Superior Stability
Researcher (PI) Nejc HODNIK
Host Institution (HI) KEMIJSKI INSTITUT
Call Details Starting Grant (StG), PE4, ERC-2019-STG
Summary In the last decades, significant progress has been made on understanding and controlling solid/liquid electrochemical interfaces at atomic levels. As the principles guiding the activity of electrochemical reactions are quite well established (structure-activity relationships), the fundamentals of stability are still poorly understood (structure-stability relationships). 123STABLE proposes to employ (1) identical location, (2) online monitoring and (3) modeling of noble metals based nanoparticles changes with the state-of-the-art electron microscopy equipment and online dissolution and evolution analytics using electrochemical flow cell coupled to online mass spectrometers. Projects unique methodology approach with picogram sensitivity levels, in combination with sub-atomic scale microscopy insights and simulations, promises novel atomistic insights into the corrosion and reconstruction of noble metals in electrochemical environments. This unique approach is based on observations of the same nanoparticles before and after electrochemical treatment where weak and stable atomic features and events can be recognized, followed, understood and finally utilized. Upon (1) doping, (2) decoration and/or (3) other synthetic modification of nanoparticles like a change in size and shape further stabilization is envisioned. For instance, blockage of nanoparticle vulnerable defected sites like steps or kinks by more noble metal could stop or significantly slow down their degradation.
The 123STABLE project will feature platinum- and iridium-based nanostructures as a model system to introduce a unique “123” approach, as they still possess the best electrocatalytic properties for the future electrification of society through the Hydrogen economy. However, their electrochemical stability is still not sufficient. Coupled with the fact that their supply is hindered by extremely scarce, rare and uneven geological distribution, the increase in their stability is of immense importance.
Summary
In the last decades, significant progress has been made on understanding and controlling solid/liquid electrochemical interfaces at atomic levels. As the principles guiding the activity of electrochemical reactions are quite well established (structure-activity relationships), the fundamentals of stability are still poorly understood (structure-stability relationships). 123STABLE proposes to employ (1) identical location, (2) online monitoring and (3) modeling of noble metals based nanoparticles changes with the state-of-the-art electron microscopy equipment and online dissolution and evolution analytics using electrochemical flow cell coupled to online mass spectrometers. Projects unique methodology approach with picogram sensitivity levels, in combination with sub-atomic scale microscopy insights and simulations, promises novel atomistic insights into the corrosion and reconstruction of noble metals in electrochemical environments. This unique approach is based on observations of the same nanoparticles before and after electrochemical treatment where weak and stable atomic features and events can be recognized, followed, understood and finally utilized. Upon (1) doping, (2) decoration and/or (3) other synthetic modification of nanoparticles like a change in size and shape further stabilization is envisioned. For instance, blockage of nanoparticle vulnerable defected sites like steps or kinks by more noble metal could stop or significantly slow down their degradation.
The 123STABLE project will feature platinum- and iridium-based nanostructures as a model system to introduce a unique “123” approach, as they still possess the best electrocatalytic properties for the future electrification of society through the Hydrogen economy. However, their electrochemical stability is still not sufficient. Coupled with the fact that their supply is hindered by extremely scarce, rare and uneven geological distribution, the increase in their stability is of immense importance.
Max ERC Funding
1 496 750 €
Duration
Start date: 2020-01-01, End date: 2024-12-31
Project acronym 2-3-AUT
Project Surfaces, 3-manifolds and automorphism groups
Researcher (PI) Nathalie Wahl
Host Institution (HI) KOBENHAVNS UNIVERSITET
Call Details Starting Grant (StG), PE1, ERC-2009-StG
Summary The scientific goal of the proposal is to answer central questions related to diffeomorphism groups of manifolds of dimension 2 and 3, and to their deformation invariant analogs, the mapping class groups. While the classification of surfaces has been known for more than a century, their automorphism groups have yet to be fully understood. Even less is known about diffeomorphisms of 3-manifolds despite much interest, and the objects here have only been classified recently, by the breakthrough work of Perelman on the Poincar\'e and geometrization conjectures. In dimension 2, I will focus on the relationship between mapping class groups and topological conformal field theories, with applications to Hochschild homology. In dimension 3, I propose to compute the stable homology of classifying spaces of diffeomorphism groups and mapping class groups, as well as study the homotopy type of the space of diffeomorphisms. I propose moreover to establish homological stability theorems in the wider context of automorphism groups and more general families of groups. The project combines breakthrough methods from homotopy theory with methods from differential and geometric topology. The research team will consist of 3 PhD students, and 4 postdocs, which I will lead.
Summary
The scientific goal of the proposal is to answer central questions related to diffeomorphism groups of manifolds of dimension 2 and 3, and to their deformation invariant analogs, the mapping class groups. While the classification of surfaces has been known for more than a century, their automorphism groups have yet to be fully understood. Even less is known about diffeomorphisms of 3-manifolds despite much interest, and the objects here have only been classified recently, by the breakthrough work of Perelman on the Poincar\'e and geometrization conjectures. In dimension 2, I will focus on the relationship between mapping class groups and topological conformal field theories, with applications to Hochschild homology. In dimension 3, I propose to compute the stable homology of classifying spaces of diffeomorphism groups and mapping class groups, as well as study the homotopy type of the space of diffeomorphisms. I propose moreover to establish homological stability theorems in the wider context of automorphism groups and more general families of groups. The project combines breakthrough methods from homotopy theory with methods from differential and geometric topology. The research team will consist of 3 PhD students, and 4 postdocs, which I will lead.
Max ERC Funding
724 992 €
Duration
Start date: 2009-11-01, End date: 2014-10-31
Project acronym 2D4D
Project Disruptive Digitalization for Decarbonization
Researcher (PI) Elena Verdolini
Host Institution (HI) UNIVERSITA DEGLI STUDI DI BRESCIA
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 3D MAGiC
Project Three-dimensional magnetization textures: Discovery and control on the nanoscale
Researcher (PI) Rafal Dunin-Borkowski
Host Institution (HI) FORSCHUNGSZENTRUM JULICH GMBH
Call Details Synergy Grants (SyG), SyG3D, ERC-2019-SyG
Summary Over the past 150 years, many of the greatest questions in physics, spanning astronomical dimensions to quarks, have addressed how particles can emerge in continuous fields. In this highly exploratory project, we will open a window into the behavior and control of some of the least explored and most puzzling objects in nanomagnetism: three-dimensional (3D) magnetic solitons (MSs). These are spatially localized stable magnetization textures that have particle-like properties and are expected to move and interact in 3D in magnetic crystals and heterostructures in a similar manner to ordinary particles. Until now, their theoretical study has been restricted to simple models, while the experimental study of individual 3D MSs is nearly unexplored as a result of their deep-sub-micron size and a current lack of suitable characterization techniques. We bring together four complementary research groups with expertise in theoretical descriptions of magnetism, device physics and magnetic characterization with high spatial and temporal resolution. Methodological breakthroughs by the partners will enable new fundamental theoretical and experimental insights into the nucleation, stability, dynamics and transport of 3D MSs, which are predicted to be influenced strongly by their nontrivial topology. Particular attention will be paid to the manner in which 3D MSs can be controlled and manipulated dynamically. This project will open the field of 3D magnetization textures at the nanoscale to fundamental science,with a view to enabling disruptive applications. 3D MSs are foreseen to play the role of information carriers that can move freely in any spatial direction and to offer a key advance over conventional 2D magnetization textures. Results from the project will provide guidelines for their use in applications that include magnetic storage technology and neuromorphic information processing systems and enable the realization of pervasive new 3D device concepts.
Summary
Over the past 150 years, many of the greatest questions in physics, spanning astronomical dimensions to quarks, have addressed how particles can emerge in continuous fields. In this highly exploratory project, we will open a window into the behavior and control of some of the least explored and most puzzling objects in nanomagnetism: three-dimensional (3D) magnetic solitons (MSs). These are spatially localized stable magnetization textures that have particle-like properties and are expected to move and interact in 3D in magnetic crystals and heterostructures in a similar manner to ordinary particles. Until now, their theoretical study has been restricted to simple models, while the experimental study of individual 3D MSs is nearly unexplored as a result of their deep-sub-micron size and a current lack of suitable characterization techniques. We bring together four complementary research groups with expertise in theoretical descriptions of magnetism, device physics and magnetic characterization with high spatial and temporal resolution. Methodological breakthroughs by the partners will enable new fundamental theoretical and experimental insights into the nucleation, stability, dynamics and transport of 3D MSs, which are predicted to be influenced strongly by their nontrivial topology. Particular attention will be paid to the manner in which 3D MSs can be controlled and manipulated dynamically. This project will open the field of 3D magnetization textures at the nanoscale to fundamental science,with a view to enabling disruptive applications. 3D MSs are foreseen to play the role of information carriers that can move freely in any spatial direction and to offer a key advance over conventional 2D magnetization textures. Results from the project will provide guidelines for their use in applications that include magnetic storage technology and neuromorphic information processing systems and enable the realization of pervasive new 3D device concepts.
Max ERC Funding
11 880 356 €
Duration
Start date: 2020-07-01, End date: 2026-06-30
Project acronym 3D-In-Macro
Project Inequality in 3D – measurement and implications for macroeconomic theory
Researcher (PI) Andreas Fagereng
Host Institution (HI) STIFTELSEN HANDELSHOYSKOLEN BI
Call Details Starting Grant (StG), SH1, ERC-2019-STG
Summary This project will contribute toward a better understanding of inequality and its macroeconomic implications. We will study inequality and its dynamics along three dimensions: Consumption, Income and Wealth, “3D Inequality.” With novel microdata we can measure the entirety of the economy down to the single household along the 3 dimensions.
In macroeconomics, much theoretical progress has been made in understanding when distributions matter for aggregates. Newer heterogeneous agent models deliver strikingly different implications for monetary and fiscal policies than what the traditional representative agent models do, and also allow us to study the distributional implications of different policies across households. In principle, this class of models can incorporate the potentially rich interactions between inequality and the macroeconomy: on the one hand, inequality shapes macroeconomic aggregates; on the other hand, macroeconomic shocks and policies affect inequality. However, absent precise micro-level facts it is difficult to establish which of the potential mechanisms highlighted by these models are the most important in reality.
Our empirical efforts will be disciplined by these recent developments in modelling macroeconomic phenomena with microeconomic heterogeneity. Our overarching motivation is to quantify the type of micro heterogeneity that matters for macroeconomic theory and thereby inform the development of current and future macroeconomic models. The novel insights we aim to provide could lead to substantial improvements in both fiscal and monetary policy tools. Furthermore, a better understanding of the forces behind growing inequality will inform the current debate on this issue and provide important lessons to policy makers who see economic inequality as a problem in itself.
Summary
This project will contribute toward a better understanding of inequality and its macroeconomic implications. We will study inequality and its dynamics along three dimensions: Consumption, Income and Wealth, “3D Inequality.” With novel microdata we can measure the entirety of the economy down to the single household along the 3 dimensions.
In macroeconomics, much theoretical progress has been made in understanding when distributions matter for aggregates. Newer heterogeneous agent models deliver strikingly different implications for monetary and fiscal policies than what the traditional representative agent models do, and also allow us to study the distributional implications of different policies across households. In principle, this class of models can incorporate the potentially rich interactions between inequality and the macroeconomy: on the one hand, inequality shapes macroeconomic aggregates; on the other hand, macroeconomic shocks and policies affect inequality. However, absent precise micro-level facts it is difficult to establish which of the potential mechanisms highlighted by these models are the most important in reality.
Our empirical efforts will be disciplined by these recent developments in modelling macroeconomic phenomena with microeconomic heterogeneity. Our overarching motivation is to quantify the type of micro heterogeneity that matters for macroeconomic theory and thereby inform the development of current and future macroeconomic models. The novel insights we aim to provide could lead to substantial improvements in both fiscal and monetary policy tools. Furthermore, a better understanding of the forces behind growing inequality will inform the current debate on this issue and provide important lessons to policy makers who see economic inequality as a problem in itself.
Max ERC Funding
1 376 875 €
Duration
Start date: 2020-05-01, End date: 2025-04-30
Project acronym 3D-loop
Project Mechanism of homology search and the logic of homologous chromosome pairing in meiosis
Researcher (PI) Aurele PIAZZA
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Call Details Starting Grant (StG), LS2, ERC-2019-STG
Summary Homologous recombination (HR) is a conserved DNA double-strand breaks (DSB) repair pathway that uniquely uses an intact DNA molecule as a template. Genome-wide homology search is carried out by a nucleoprotein filament (NPF) assembled on the ssDNA flanking the DSB, and whose product is a “D-loop” joint molecule. Beyond accurate DSB repair, this capacity of HR to spatially associates homologous molecules is also harnessed for homolog pairing in meiosis. The goal of “3D-loop” is to tackle two long lasting conundrums: the fundamental homology search mechanism that achieves accurate and efficient identification of a single homologous donor in the vastness of the genome and nucleus, and how this mechanism is adapted for the purpose of homologs attachment in meiosis.
I overcame the main hurdle to study these core steps of HR by developing a suite of proximity ligation-based methodologies and experimental systems to physically detect joint molecules in yeast cells. It revealed elaborate regulation controlling D-loop dynamics and a novel class of joint molecules. This proposal builds upon these methodologies and findings to first address basic properties of the homology sampling process by the NPF and the role of D-loop dynamics, with the long-term goal to establish a quantitative framework of homology search in mitotic cells (WP1). Second, the meiosis-specific regulation of homology search leading to homolog pairing likely integrates chromosomal-scale information. Genome re-synthesis and engineering approaches will be deployed to (i) achieve a quantitative and dynamic cartography of the cytological and molecular events of meiosis over a large chromosomal region, (ii) probe cis-acting regulations at the chromosomal scale, and (iii) revisit the molecular paradigm for crossover formation (WP2). We expect this project to shed light on the fundamental process of homology search and its involvement in the chromosome pairing phenomenon lying at the basis of sexual reproduction.
Summary
Homologous recombination (HR) is a conserved DNA double-strand breaks (DSB) repair pathway that uniquely uses an intact DNA molecule as a template. Genome-wide homology search is carried out by a nucleoprotein filament (NPF) assembled on the ssDNA flanking the DSB, and whose product is a “D-loop” joint molecule. Beyond accurate DSB repair, this capacity of HR to spatially associates homologous molecules is also harnessed for homolog pairing in meiosis. The goal of “3D-loop” is to tackle two long lasting conundrums: the fundamental homology search mechanism that achieves accurate and efficient identification of a single homologous donor in the vastness of the genome and nucleus, and how this mechanism is adapted for the purpose of homologs attachment in meiosis.
I overcame the main hurdle to study these core steps of HR by developing a suite of proximity ligation-based methodologies and experimental systems to physically detect joint molecules in yeast cells. It revealed elaborate regulation controlling D-loop dynamics and a novel class of joint molecules. This proposal builds upon these methodologies and findings to first address basic properties of the homology sampling process by the NPF and the role of D-loop dynamics, with the long-term goal to establish a quantitative framework of homology search in mitotic cells (WP1). Second, the meiosis-specific regulation of homology search leading to homolog pairing likely integrates chromosomal-scale information. Genome re-synthesis and engineering approaches will be deployed to (i) achieve a quantitative and dynamic cartography of the cytological and molecular events of meiosis over a large chromosomal region, (ii) probe cis-acting regulations at the chromosomal scale, and (iii) revisit the molecular paradigm for crossover formation (WP2). We expect this project to shed light on the fundamental process of homology search and its involvement in the chromosome pairing phenomenon lying at the basis of sexual reproduction.
Max ERC Funding
1 499 779 €
Duration
Start date: 2020-01-01, End date: 2024-12-31
Project acronym 3D-PIV
Project Valorization trajectory of a 3D particle image velocimetry instrument
Researcher (PI) Wim DE MALSCHE
Host Institution (HI) VRIJE UNIVERSITEIT BRUSSEL
Call Details Proof of Concept (PoC), ERC-2019-PoC
Summary Actual implementation of impactful applications for microfluidic devices in a commercial setting has been surprisingly limited so far. The cause can be to a great extent attributed to the main feature of microfluidic devices: their small dimensions. While miniaturized structures are essential in generating key functionalities, they are also ideal nucleation and anchor sites for solid material present in the liquid that flows through the channels, a phenomenon called fouling. This subsequently results in a reduced or loss of functionality and eventually plugging of the entire flow system. The solution to avoiding fouling is measuring the flow in microfluidic devices in 3D, by particle image velocimetry (PIV), either when designing or using them. However, achieving 3D imaging of flows is currently an extremely difficult task due to the amount of work, high costs and lengthy timelines required. Our value proposition in the ERC Proof of Concept project ‘3D-PIV’ is a table-top device able to efficiently analyse the velocimetry of particles in 3D, offering an unprecedented level of detail of the fluid motion through micron-sized channels/inlets/outlets, opening new possibilities in microfluidics design and validation with significant impact on multiple applications. One of the killer applications we envision, and our focus in this ERC Proof of Concept project, is in the pharmaceutical and chemical industries, for the manufacturing of drugs or chemical components, to enable, adjust or improve their separation. In this project we will focus on building a strong business case for our 3D-PIV technology through prototyping, optimizing software, market analysis and business development.
Summary
Actual implementation of impactful applications for microfluidic devices in a commercial setting has been surprisingly limited so far. The cause can be to a great extent attributed to the main feature of microfluidic devices: their small dimensions. While miniaturized structures are essential in generating key functionalities, they are also ideal nucleation and anchor sites for solid material present in the liquid that flows through the channels, a phenomenon called fouling. This subsequently results in a reduced or loss of functionality and eventually plugging of the entire flow system. The solution to avoiding fouling is measuring the flow in microfluidic devices in 3D, by particle image velocimetry (PIV), either when designing or using them. However, achieving 3D imaging of flows is currently an extremely difficult task due to the amount of work, high costs and lengthy timelines required. Our value proposition in the ERC Proof of Concept project ‘3D-PIV’ is a table-top device able to efficiently analyse the velocimetry of particles in 3D, offering an unprecedented level of detail of the fluid motion through micron-sized channels/inlets/outlets, opening new possibilities in microfluidics design and validation with significant impact on multiple applications. One of the killer applications we envision, and our focus in this ERC Proof of Concept project, is in the pharmaceutical and chemical industries, for the manufacturing of drugs or chemical components, to enable, adjust or improve their separation. In this project we will focus on building a strong business case for our 3D-PIV technology through prototyping, optimizing software, market analysis and business development.
Max ERC Funding
150 000 €
Duration
Start date: 2020-01-01, End date: 2021-06-30
Project acronym 3DCanPredict
Project Predicting clinical response to anticancer drugs using 3D-bioprinted tumor models for personalized therapy
Researcher (PI) Ronit Satchi Fainaro
Host Institution (HI) TEL AVIV UNIVERSITY
Call Details Proof of Concept (PoC), ERC-2019-PoC
Summary Predicting clinical response to novel and existing anticancer drugs remains a major hurdle for successful cancer treatment. Studies indicate that the tumor ecosystem, resembling an organ-like structure, can limit the predictive power of current therapies that were evaluated solely on tumor cells. The interactions of tumor cells with their adjacent microenvironment are required to promote tumor progression and metastasis, determining drug responsiveness. Such interactions do not form in standard research techniques, where cancer cells grow on 2D plastic dishes. Hence, there is a need to develop new cancer models that better mimic the physio-pathological conditions of tumors. Here, we create 3D-bioprinted tumor models based on a library of hydrogels we developed as scaffold for different tumor types, designed according to the mechanical properties of the tissue of origin. As PoC, we bioprinted a vascularized 3D brain tumor model from brain tumor cells co-cultured with stromal cells and mixed with our hydrogels, that resemble the biophysics of the tumor and its microenvironment. Our patient-derived models consist of cells from a biopsy, constructed according to CT/MRI scans, and include functional vessels allowing for patients' serum to flow when connected to a pump. These models will facilitate reproducible, reliable and rapid results, determining which treatment suits best the specific patient's tumor. Taken together, this 3D-printed model could be the basis for potentially replacing cell and animal models. We predict that this powerful platform will be used in translational research for preclinical evaluation of new therapies and for clinical drug screening, which will save critical time, reduce toxicity and significantly decrease costs generating a major societal benefit. Our platform offers a highly attractive business case, as pharmaceutical and biotech companies heavily invest in preclinical predictive tools for novel personalized drug screening strategies.
Summary
Predicting clinical response to novel and existing anticancer drugs remains a major hurdle for successful cancer treatment. Studies indicate that the tumor ecosystem, resembling an organ-like structure, can limit the predictive power of current therapies that were evaluated solely on tumor cells. The interactions of tumor cells with their adjacent microenvironment are required to promote tumor progression and metastasis, determining drug responsiveness. Such interactions do not form in standard research techniques, where cancer cells grow on 2D plastic dishes. Hence, there is a need to develop new cancer models that better mimic the physio-pathological conditions of tumors. Here, we create 3D-bioprinted tumor models based on a library of hydrogels we developed as scaffold for different tumor types, designed according to the mechanical properties of the tissue of origin. As PoC, we bioprinted a vascularized 3D brain tumor model from brain tumor cells co-cultured with stromal cells and mixed with our hydrogels, that resemble the biophysics of the tumor and its microenvironment. Our patient-derived models consist of cells from a biopsy, constructed according to CT/MRI scans, and include functional vessels allowing for patients' serum to flow when connected to a pump. These models will facilitate reproducible, reliable and rapid results, determining which treatment suits best the specific patient's tumor. Taken together, this 3D-printed model could be the basis for potentially replacing cell and animal models. We predict that this powerful platform will be used in translational research for preclinical evaluation of new therapies and for clinical drug screening, which will save critical time, reduce toxicity and significantly decrease costs generating a major societal benefit. Our platform offers a highly attractive business case, as pharmaceutical and biotech companies heavily invest in preclinical predictive tools for novel personalized drug screening strategies.
Max ERC Funding
150 000 €
Duration
Start date: 2019-09-01, End date: 2021-02-28
Project acronym 3DPartForm
Project 3D-printing of PARTiculate FORMulations utilizing polymer microparticle-based voxels
Researcher (PI) Julian Thiele
Host Institution (HI) LEIBNIZ-INSTITUT FUR POLYMERFORSCHUNG DRESDEN EV
Call Details Starting Grant (StG), PE8, ERC-2019-STG
Summary New polymer materials are necessary to match the demand for highly integrated, multifunctional, responsive systems for sensing, information processing, soft robotics or multi-parametric implants. Both established
material design concepts based on lithography, and emerging engineering efforts based on additive manufacturing (AM) are currently not able to fully address the need for topologically complex, multifunctional
and stimuli-responsive polymer materials. This proposal aims at establishing a radically new approach for polymer material design, rethinking AM on both material and process level. Here, functionality will be already
embedded at the building block level to emerge into larger scales. The exact methodology relies on polymer microparticles as a novel material basis with arbitrary geometry, function, mechanics and responsiveness.
These microparticulate formulations will serve as predefined, voxel-like building blocks in AM yielding hierarchical assemblies with spatially defined voxel position and programmable, adaptive properties, which clearly go beyond existing functional material classes. With that, 3DPartForm will address the current lack of additive manufacturing providing multifunctional, stimuli-responsive materials, in which not only strongly different, but most importantly functional building blocks with intrinsic time axis will be processed into true 4D-polymer multimaterials. Products emerging from this approach will reach a previously unknown level of system integration, where optical transparency, electric and thermal conductivity as well as diffusivity and mechanical rigidity will become spatiotemporally tunable at single-voxel level. Coupled sensing and actuation operations will be realized by processing, transforming and manipulating single or combined input stimuli within these materials in the focus of 3DPartform, and platforms for biomimetics and cell-free biotechnology will be implemented as a long-term goal.
Summary
New polymer materials are necessary to match the demand for highly integrated, multifunctional, responsive systems for sensing, information processing, soft robotics or multi-parametric implants. Both established
material design concepts based on lithography, and emerging engineering efforts based on additive manufacturing (AM) are currently not able to fully address the need for topologically complex, multifunctional
and stimuli-responsive polymer materials. This proposal aims at establishing a radically new approach for polymer material design, rethinking AM on both material and process level. Here, functionality will be already
embedded at the building block level to emerge into larger scales. The exact methodology relies on polymer microparticles as a novel material basis with arbitrary geometry, function, mechanics and responsiveness.
These microparticulate formulations will serve as predefined, voxel-like building blocks in AM yielding hierarchical assemblies with spatially defined voxel position and programmable, adaptive properties, which clearly go beyond existing functional material classes. With that, 3DPartForm will address the current lack of additive manufacturing providing multifunctional, stimuli-responsive materials, in which not only strongly different, but most importantly functional building blocks with intrinsic time axis will be processed into true 4D-polymer multimaterials. Products emerging from this approach will reach a previously unknown level of system integration, where optical transparency, electric and thermal conductivity as well as diffusivity and mechanical rigidity will become spatiotemporally tunable at single-voxel level. Coupled sensing and actuation operations will be realized by processing, transforming and manipulating single or combined input stimuli within these materials in the focus of 3DPartform, and platforms for biomimetics and cell-free biotechnology will be implemented as a long-term goal.
Max ERC Funding
1 474 125 €
Duration
Start date: 2020-04-01, End date: 2025-03-31
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
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