Nearly all model-reduction techniques project the governing equations onto a linear subspace of the original state space. Such …

Uncertainty-quantification tasks in computational physics are often “many query” in nature, as they require repeated evaluations of a …

Physics-based modeling and simulation has become indispensable across many applications in engineering and science, ranging from …

We propose a novel framework for projecting dynamical systems onto nonlinear trial manifolds using minimum-residual formulations at the …

Physics-based modeling and simulation has become indispensable across many applications in engineering and science, ranging from …

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