SEM2DPACK - A spectral element method for 2D wave propagation and fracture dynamics, with emphasis on computational seismology and earthquake source dynamics.
The results of this review provide insights into the potential of machine learning techniques for wave propagation modeling and their impact on computational seismology.
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
Implementation of the modified Energy Flux Model (Korn, 1990) and depth-dependent Energy Flux Model (Korn, 1997), together with the Bayesian inference algorithm from González-Álvarez et al. (2021).
Automated temporal causality linter for seismic ML pipelines. Catch data leakage before it ruins your earthquake forecasting model.
Material related to my master's thesis work about seismic waveform modeling of the Ionian basin region. Any external input is appreciated and encouraged.
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