Pages that link to "Item:Q2672189"
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The following pages link to Operator inference and physics-informed learning of low-dimensional models for incompressible flows (Q2672189):
Displaying 8 items.
- A physics-informed learning approach to Bernoulli-type free boundary problems (Q2107176) (← links)
- Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference (Q2678552) (← links)
- Bayesian operator inference for data-driven reduced-order modeling (Q2679294) (← links)
- Learned turbulence modelling with differentiable fluid solvers: physics-based loss functions and optimisation horizons (Q5038552) (← links)
- Port-Hamiltonian Dynamic Mode Decomposition (Q6116390) (← links)
- Operator inference with roll outs for learning reduced models from scarce and low-quality data (Q6135185) (← links)
- Adjacency-based, non-intrusive model reduction for vortex-induced vibrations (Q6566973) (← links)
- Approximation bounds for model reduction on polynomially mapped manifolds (Q6658207) (← links)
