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future is a thorough understanding and assessment of the thermo-physical properties (e.g melting temperature, heat capacity, density, viscosity, thermal conductivity) of the molten fuel salt during reactor
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Challenge: Generating realistic bathymetric maps at a large scale using satellite images and advanced machine learning methods. Change: Incorporating physics into satellite-derived bathymetry
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bioprocesses still have. This effort includes quantifying the impact of various process routes as well as creating micro-organisms (or consortia thereof) that can deal with new feed stocks or produce more
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rotor-sails fundamental flow physics (project 1 and 2), flow control performance enhancement (project 3), and multi-rotor/ship-rotor interactions (project 4). We are a young, international and diverse
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to resolve the function of dominant community members, explore how process control parameters affects these microbial community members and evaluate their metabolic interactions. You will run bioreactors
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into account adequately in models. Therefore, we will work with traditional parameterizations for cloud microphysics, but also explore how physics-enhanced machine learning can help us to develop new ways
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cardiovascular digital twin is a physics-based computer simulation that models an individual's health and disease states to aid decision-making. These high-fidelity models are often computationally expensive
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ultrasound (https://doi.org/10.1109/TUFFC.2022.3148121 ). Optimal imaging inside and behind bone requires to take into account the 3D challenging wave physics imposed by bone tissue: wave refraction, wave
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physical elements, operated and controlled via management systems and procedures. These management systems and procedures are becoming increasingly automated. Moreover, critical infrastructures become
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wave physics: Metamaterials. These are engineered composite structures, invoking dispersive wave phenomena to gain exotic properties that go beyond what is considered possible in Nature. A key property