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Jupiter's polar regions using computer simulations. The core of the project consists of coupling a photochemical model (developed and used in numerous planetary applications) with an electron transport model
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sputtering). A coupled approach, involving experiments and Multiphysics numerical simulation will be implemented. A thorough investigation of the relationships between deposition conditions (temperatures
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support for process development from laboratory to pilot to demonstration scale Working with a wide range of simulation tools such as CFD, numerial optimisation and artificial intelligence Topic-independent
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models of structural disorder based on the periodic average structure, crystal chemistry, and complementary information Generation of a dataset to train ML models Simulation of the corresponding
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workflows for descriptor based microstructure reconstruction to identify material parameters for crystal plasticity simulations from experimental data through inverse analysis to establish structure–property
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of oxygenates from CO and/or CO2, and mechanistic studies including operando spectroscopy and possibly numerical simulations (microkinetics, DFT). The objective is to discover new eco-efficient catalytic phases
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receptors (GPCRs) using molecular dynamics simulations. The project will involve the application of standard and enhanced sampling techniques (including coarse-grained simulations) to: Characterize GPCR
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emulator of sea ice dynamics, trained using high-fidelity numerical simulations, (ii) variational data assimilation methods, and (iii) a simplified representation of physical processes in the atmospheric
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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
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fluorescence methods, e.g., spectroscopy and microscopy Computational simulation of the molecular interactions within the liposomal membrane in cooperation with expert teams Summarizing your results in