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. Correlating experimental, ab initio and multi-scale simulation as well as machine learning techniques is central to our mission: Development and application of advanced simulation techniques to explore and
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nanofibrous layers, including composite multilayer membranes. Currently, there are 1) no readily available nanofiber quality models for multilayer membranes, and 2) no robust and scalable methods for model
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, including animal surgery, simulations, and theoretical investigations; analyze data; and disseminate research findings. Participate and observe clinical activities, including clinical visits, rounds, meetings
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computational model to capture the complex transport of gases, liquids, and charges in these porous structures, including the complex interfaces between them. Insights from the model will directly guide the
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PhD student to establish recipes to provide post-plasma catalysis with different C2Hy distributions and different enthalpy content for optimization of post-plasma catalysis into C2H4. PhD candidate in
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behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design a public transport network that includes both traditional fixed lines and flexible on-demand services, while