Acoustic Energy Release During the Laboratory Seismic Cycle: Insights on Laboratory Earthquake Precursors and Prediction

Machine learning can predict the timing and magnitude of laboratory earthquakes using statistics of acoustic emissions. The evolution of acoustic energy is critical for lab earthquake prediction; however, the connections between acoustic energy and fault zone processes leading to failure are poorly...

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Detalles Bibliográficos
Autores principales: Bolton, David C., Shreedharan, Srisharan, Rivière, Jacques, Marone, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7685124/
https://www.ncbi.nlm.nih.gov/pubmed/33282618
http://dx.doi.org/10.1029/2019JB018975

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7685124/
https://www.ncbi.nlm.nih.gov/pubmed/33282618
http://dx.doi.org/10.1029/2019JB018975

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