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Showing 1 to 3 of 3 for “"Stochastic Reduced Order Model"”.
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Demonstration of Bayesian inference and Bayesian experimental design in a model film/substrate inference problem
… inference and Bayesian experiment design in a model materials science problem. We demonstrate that by observing the behavior of a film deposited on a substrate, certain features of the substrate may be inferred, with quantified uncertainty. We show that Bayesian experimental design can be used …
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Large Eddy Simulation Reduced Order Models
… filtering to develop a large eddy simulation reduced order model (LES-ROM) framework for fluid flows. Proper orthogonal decomposition is utilized to extract the dominant spatial structures of the system. Within the general LES-ROM framework, two approaches are proposed to address the …
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Stochastic multiphysics modeling of RF MEMS switches
… re-meshing during finite element electrostatic modeling. This is achieved through the development of a `map' between the deformed and un-deformed geometries. Thus only one finite element discretization on the original undeformed geometry is needed for performing electrostatic analysis on all …