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.
Efficient space–time reduced order model for linear dynamical systems in python using less than 120 lines of code
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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.