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math.NA2025
Enforcing boundary conditions for physics-informed neural operators
Niklas Göschel, Sebastian Götschel, Daniel Ruprecht
Machine-learning based methods like physics-informed neural networks and physics-informed neural operators are becoming increasingly adept at solving even complex systems of partia…
math.NA2025
Fast-wave slow-wave spectral deferred correction methods applied to the compressible Euler equations
Alex Brown, Joscha Fregin, Thomas Bendall +3
This paper investigates the application of a fast-wave slow-wave spectral deferred correction time-stepping method (FWSW-SDC) to the compressible Euler equations. The resulting mod…