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upcoming areas off the beaten paths. Our three main areas of research are machine learning, distributed systems, and theory of networks. Within these three areas, we are currently working on several projects
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initiation and growth. Through a combination of theory, simulations, and experiments, we aim to build predictive models of fracture and provide a foundation for designing soft materials with enhanced
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for estimating spatially explicit FES demand and supply by applying, a.o., concepts from economic valuation theory. The framework will allow us to assess the role of socio-economic heterogeneity as compared
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to analyze crystallographic data and model electronic structures in complex materials. The work involves creating code for processing diffuse scattering data, performing density functional theory (DFT