Deep learning of aftershock patterns following large earthquakes

2018/08/21 by Phoebe M. R. DeVries, Fernanda Viégas, Martin Wattenberg +1 · 1 citation
Earth and Planetary Sciences · #Aftershock #Earthquake Detection and Analysis #Geological and Geochemical Analysis #Geology #Seismology #earthquake and tectonic studies

paper · doi:10.1038/s41586-018-0438-y

openalex publication_date 2018/08/21 · crossref created 2018/08/21 · crossref issued 2018/08/29 · crossref published 2018/08/29 · crossref published-online 2018/08/29 · crossref published-print 2018/08/30 · crossref deposited 2025/07/06 · openalex created_date 2025/10/10 · crossref indexed 2026/07/08 · openalex updated_date 2026/07/23

Citations

• Spatial and temporal distribution of slip for the 1992 Landers, California, earthquake
• A fault model of the 1995 Kobe earthquake derived from the GPS data on the Akashi Kaikyo Bridge and other datasets
• Complex rupture during the 12 January 2010 Haiti earthquake
• Source Description of the 1999 Hector Mine, California, Earthquake, Part II: Complexity of Slip History
• Time and Space Distribution of Coseismic Slip of the 2011 Tohoku Earthquake as Inferred from Tsunami Waveform Data
• Inversion of strong ground motion and teleseismic waveform data for the fault rupture history of the 1979 Imperial Valley, California, earthquake
• Gradient-based learning applied to document recognition

Cited by

• Earthquake prediction [wikipedia]