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.
Automated temporal causality linter for seismic ML pipelines. Catch data leakage before it ruins your earthquake forecasting model.
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).
Material related to my master's thesis work about seismic waveform modeling of the Ionian basin region. Any external input is appreciated and encouraged.
🔍 Prevent future leakage in time-series forecasting with seismic-linter, ensuring accurate model performance through static analysis for temporal causality.
Add a description, image, and links to the computational-seismology topic page so that developers can more easily learn about it.
To associate your repository with the computational-seismology topic, visit your repo's landing page and select "manage topics."