Pages that link to "Item:Q2222790"
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The following pages link to A bi-fidelity method for the multiscale Boltzmann equation with random parameters (Q2222790):
Displaying 9 items.
- Bifidelity data-assisted neural networks in nonintrusive reduced-order modeling (Q1996002) (← links)
- Bi-fidelity stochastic collocation methods for epidemic transport models with uncertainties (Q2087001) (← links)
- Monte Carlo stochastic Galerkin methods for the Boltzmann equation with uncertainties: space-homogeneous case (Q2123857) (← links)
- Learning nonlocal constitutive models with neural networks (Q2237430) (← links)
- A bi-fidelity stochastic collocation method for transport equations with diffusive scaling and multi-dimensional random inputs (Q2671327) (← links)
- Uncertainty Quantification for the BGK Model of the Boltzmann Equation Using Multilevel Variance Reduced Monte Carlo Methods (Q4995118) (← links)
- Boltzmann–Gibbs Random Fields with Mesh-free Precision Operators Based on Smoothed Particle Hydrodynamics (Q5047940) (← links)
- Error estimates of a bi-fidelity method for a multi-phase Navier-Stokes-Vlasov-Fokker-Planck system with random inputs (Q6586968) (← links)
- A study of multiscale kinetic models with uncertainties (Q6613480) (← links)
