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of computational solid-state materials research! As a PhD student in the Condensed Matter and Materials Theory division , you will have the opportunity to explore surface and device physics, using density functional
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, for example via equilibrium and non-equilibrium Green's functions, density functional theory, and tensor network methods. Experience in topological magnetic systems and nonlinear optical phenomena is considered
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(CFD) and density functional theory (DFT) forms a powerful in silico approach to understanding CVD at the atomic level, while kinetic Monte Carlo methods can be used to study the development of different
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to cover all aspects of the CVD process. For instance, a combination of computational fluid dynamics (CFD) and density functional theory (DFT) forms a powerful in silico approach to understanding CVD