Similarity of fast and slow earthquakes illuminated by machine learning

Both fast and slow earthquakes are preceded by micro-failure events that radiate energy. According to machine learning, these events can foretell catastrophic failure in laboratory experiment earthquakes.

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Bibliographic Details
Published inNature geoscience Vol. 12; no. 1; pp. 69 - 74
Main Authors Hulbert, Claudia, Rouet-Leduc, Bertrand, Johnson, Paul A., Ren, Christopher X., Rivière, Jacques, Bolton, David C., Marone, Chris
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group 01.01.2019
Subjects
Acoustic emission
Artificial intelligence
Catastrophic events
Duration
Earthquake prediction
Earthquakes
Elastodynamics
Energy
Failure modes
Geological faults
Laboratories
Learning algorithms
Machine learning
Modes
Physics
Scaling
Scaling laws
Seismic activity
Slip
Solifluction
Tectonics
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Summary:Both fast and slow earthquakes are preceded by micro-failure events that radiate energy. According to machine learning, these events can foretell catastrophic failure in laboratory experiment earthquakes.
ISSN:1752-0894
1752-0908
DOI:10.1038/s41561-018-0272-8