SeismoGPT is a transformer autoregressive model achieving median normalized cross-correlation above 0.93 when forecasting synthetic three-component seismograms up to 240 s ahead from P- and S-wave context.
Introduction to the spectral element method for three-dimensional seismic wave propagation.Geophysical Journal International, 139 (3):806–822, 1999
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
SME-aware kernel and hybrid execution optimizations for SPECFEM3D on LX2 ARM processors deliver 4-6x speedup and shift the favorable (h,p) operating point to higher orders along the dispersion-based iso-accuracy frontier.
citing papers explorer
-
Data-Driven Forecasting of three-Component Seismograms Using Transformer Architectures
SeismoGPT is a transformer autoregressive model achieving median normalized cross-correlation above 0.93 when forecasting synthetic three-component seismograms up to 240 s ahead from P- and S-wave context.
-
High-Order Spectral Element Methods for Wave Propagation on ARM Multicore CPU with SME: Optimizations and Implications
SME-aware kernel and hybrid execution optimizations for SPECFEM3D on LX2 ARM processors deliver 4-6x speedup and shift the favorable (h,p) operating point to higher orders along the dispersion-based iso-accuracy frontier.