A physics-informed reduced-order model that couples a neural ODE latent dynamics with a conditional neural field decoder is demonstrated on the 1D viscous Burgers equation for parameter interpolation and extrapolation.
SNS: A solution-based nonlinear subspace method for time-dependent model order reduction
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Physics-informed reduced order model with conditional neural fields
A physics-informed reduced-order model that couples a neural ODE latent dynamics with a conditional neural field decoder is demonstrated on the 1D viscous Burgers equation for parameter interpolation and extrapolation.