Spectrally adapted PINNs integrate adaptive spectral techniques into physics-informed neural networks to efficiently solve PDEs on unbounded domains.
Stability and error analysis for a second-order fast approximation of the one-dimensional Schr¨ odinger equati on under absorbing boundary conditions
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Spectrally Adapted Physics-Informed Neural Networks for Solving Unbounded Domain Problems
Spectrally adapted PINNs integrate adaptive spectral techniques into physics-informed neural networks to efficiently solve PDEs on unbounded domains.