receiver-conditioned-learning

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Normando1945 / Neural-Surrogate-for-Surface-Seismogram-

PyTorch implementation of a receiver query neural surrogate for surface seismogram emulation in heterogeneous 2D acoustic media. Includes Fourier encoded receiver coordinates, balanced sampling, a masked pseudo physics informed trace loss, and evaluation tools

pytorch fourier-features finite-difference-method computational-seismology physics-informed-machine-learning neural-surrogates seismic-wave-propagation receiver-conditioned-learning acoustic-wave-equation

Updated Aug 6, 2026
Python

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