MaLTTe is a machine learning (ML) method for emulating seismic-phase traveltimes that are computed using a global-scale 3-D earth model and physics-based ray tracing. The method is described in the GJI publication shown below. Get the full publication at https://doi.org/10.1093/gji/ggad400:
Click link below to download the ML model and data set:
Download MaLTTe.tar.gzGJI publication
LLNL-CODE-858070
Title: Machine Learning Travel Time emulator (MaLTTe), v. 1
Author(s): Gemma J Anderson and Stephen C Myers
Operated by the Lawrence Livermore National Security, LLC for the Department of Energy's National Nuclear Security Administration
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