A Fourier neural operator trained on Boussinesq-compressible simulation pairs corrects Boussinesq predictions for natural convection, achieving SSIM near unity and MSE reductions of one to three orders of magnitude.
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A finite element method with divergence reconstruction for generalized Navier-Stokes equations valid for p > 2d/(d+2), with a priori error estimates for velocity and pressure.
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A Neural Surrogate Approach for Simulating Natural Convection Problems
A Fourier neural operator trained on Boussinesq-compressible simulation pairs corrects Boussinesq predictions for natural convection, achieving SSIM near unity and MSE reductions of one to three orders of magnitude.
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Finite element discretization of the steady, generalized Navier-Stokes equations for small shear stress exponents
A finite element method with divergence reconstruction for generalized Navier-Stokes equations valid for p > 2d/(d+2), with a priori error estimates for velocity and pressure.