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: reduced-order models (ROMs) and input-output models derived from high-fidelity Computational Fluid Dynamics (CFD) models; data-based models determined from training/calibration data by system/parameter
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diagrams generated by such models, can be used to explore equilibrium assemblages with respect to the proportion and composition of mineral, melt and fluid phases across a range of geologically-relevant
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to the proportion and composition of mineral, melt and fluid phases across a range of geologically-relevant pressure, temperature and composition. With constraints on the partitioning of trace elements among
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have experience with experimental work? Are you challenged by building (parts of) an experimental setups? Knowledge on fluid mechanics, physical transport phenomena and/or phase changes are considered
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collaboration with DENS solutions company. Femto-Cryo will use 3D printed fluid force microscopy (FluidFM) cantilevers from TU Delft, and CryoSilico cryo-EM sample supports from DENS solutions to develop a novel
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Computational Fluid Dynamics (CFD) models; data-based models determined from training/calibration data by system/parameter identification and machine learning. The key challenge is striking a balance between, on
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and Innovatie (TKI) project in a public-private partnership (PPP) scheme in collaboration with DENS solutions company. Femto-Cryo will use 3D printed fluid force microscopy (FluidFM) cantilevers from TU
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fluids, such as in serum and plasma in order to determine their stability upon administration and characterize the layer of molecules adsorbed on their surface (the biomolecule corona