ERC FUNDED PROJECTS

Carbon dioxide capture and storage is a technology to mitigate climate change by removing CO2 from flue gas streams or the atmosphere and storing it in geological formations. While CO2 removal from natural gas by amine scrubbing is implemented on the large scale, the cost of such process is currently prohibitively expensive. Inexpensive alkali earth metal oxides (MgO and CaO) feature high theoretical CO2 uptakes, but suffer from poor cyclic stability and slow kinetics. Yet, the key objective of recent research on alkali earth metal oxide based CO2 sorbents has been the processing of inexpensive, naturally occurring CO2 sorbents, notably limestone and dolomite, to stabilize their modest CO2 uptake and to establish re-activation methods through engineering approaches. While this research demonstrated a landmark Megawatt (MW) scale viability of the process, our fundamental understanding of the underlying CO2 capture, regeneration and deactivation pathways did not improve. The latter knowledge is, however, vital for the rational design of improved, yet practical CaO and MgO sorbents. Hence this proposal is concerned with obtaining an understanding of the underlying mechanisms that control the ability of an alkali metal oxide to capture a large quantity of CO2 with a high rate, to regenerate and to operate with high cyclic stability. Achieving these aims relies on the ability to fabricate model structures and to characterize in great detail their surface chemistry, morphology, chemical composition and changes therein under reactive conditions. This makes the development of operando and in situ characterization tools an essential prerequisite. Advances in these areas shall allow achieving the overall goal of this project, viz. to formulate a roadmap to fabricate improved CO2 sorbents through their precisely engineered structure, composition and morphology.

1 994 900 €

Start date: 2019-06-01, End date: 2024-05-31

Since the invention of the spinning frame, automation has been one of the drivers of economic growth. Yet, workers, economist or the general public have been concerned that automation may destroy jobs or create inequality. This concern is particularly prevalent today with the sustained rise in economic inequality and fast technological progress in IT, robotics or self-driving cars. The empirical literature has showed the impact of automation on income distribution. Yet, the level of wages itself should also affect the incentives to undertake automation innovations. Understanding this feedback is key to assess the long-term effect of policies. My project aims to provide the first quantitative account of the two-way relationship between automation and the income distribution. It is articulated around three parts. First, I will use patent data to study empirically the causal effect of wages on automation innovations. To do so, I will build firm-level variation in the wages of the customers of innovating firms by exploiting variations in firms’ exposure to international markets. Second, I will study empirically the causal effect of automation innovations on wages. There, I will focus on local labour market and use the patent data to build exogenous variations in local knowledge. Third, I will calibrate an endogenous growth model with firm dynamics and automation using Danish firm-level data. The model will replicate stylized facts on the labour share distribution across firms. It will be used to compute the contribution of automation to economic growth or the decline of the labour share. Moreover, as a whole, the project will use two different methods (regression analysis and calibrated model) and two different types of data, to answer questions of crucial policy importance such as: Taking into account the response of automation, what are the long-term effects on wages of an increase in the minimum wage, a reduction in labour costs, or a robot tax?

1 295 890 €

Start date: 2018-11-01, End date: 2023-10-31

Given the increasing scarcity of suitable land for development, soil strengthening technologies have emerged in the past decade and go hand-in-hand with the implementation of the majority of foundation solutions. The goal is to alter the soil structure and its mechanical properties for ultimately securing the integrity of structures. The BIOGEOS project puts the focus on bio-mediated soil improvement, which falls within the broader framework of multi-physical processes in geo-mechanics. The goal of the project is to engineer a novel, natural material under controlled processes, for ultimately providing solutions to real problems in the geo-engineering and geo-energy fields by advancing knowledge around complex multi-physical phenomena in porous media. The bio-cemented geo-material, which is produced by carefully integrating the metabolic activity of native soil bacteria, is produced through the bio-mineralization of calcite bonds, which act as natural cementation for endowing the subsurface with real cohesion and increased resistance. A principal characteristic of the project is its multi-scale approach through advanced experimentation to identify the main physical mechanisms involved in the formation of the bio-mineralized bonds and their behaviour under mechanical loading. The development of such a bio-mediated technology will lead to innovative applications in a series of engineering problems such as the restoration of weak foundations, seismic retrofitting, erosion protection, and the enhancement of heat transfer in thermo-active geo-structures. The project foresees to adopt multiple loading conditions for its laboratory characterization and ultimately pass to the large experimental scale. BIOGEOS further aims to provide new knowledge around the way we perceive materials in relation with their micro-structure by implementing state-of-the-art inspection of the material’s structure in 3D space and subsequent prediction of their behaviour through numerical tools.

2 497 115 €

Start date: 2018-11-01, End date: 2023-10-31

The overall goal of this project is to understand the molecular mechanisms that lead to the generation of potent and broadly neutralizing antibodies against medically relevant pathogens, and to identify the factors that limit their production in response to infection or vaccination with current vaccines. We will use high-throughput cellular screens to isolate from immune donors clonally related antibodies to different sites of influenza hemagglutinin, which will be fully characterized and sequenced in order to reconstruct their developmental pathways. Using this approach, we will ask fundamental questions with regards to the role of somatic mutations in affinity maturation and intraclonal diversification, which in some cases may lead to the generation of autoantibodies. We will combine crystallography and long time-scale molecular dynamics simulation to understand how mutations can increase affinity and broaden antibody specificity. By mapping the B and T cell response to all sites and conformations of influenza hemagglutinin, we will uncover the factors, such as insufficient T cell help or the instability of the pre-fusion hemagglutinin, that may limit the generation of broadly neutralizing antibodies. We will also perform a broad analysis of the antibody response to erythrocytes infected by P. falciparum to identify conserved epitopes on the parasite and to unravel the role of an enigmatic V gene that appears to be involved in response to blood-stage parasites. The hypotheses tested are strongly supported by preliminary observations from our own laboratory. While these studies will contribute to our understanding of B cell biology, the results obtained will also have translational implications for the development of potent and broad-spectrum antibodies, for the definition of correlates of protection, and for improving vaccine design.

1 867 500 €

Start date: 2015-10-01, End date: 2020-09-30