Estimating Fault Friction From Seismic Signals in the Laboratory

Rouet-Leduc, Bertrand; Hulbert, Claudia; Bolton, David C.; Ren, Christopher X.; Riviere, Jacques; Marone, Chris; Guyer, Robert A.; Johnson, Paul A.

doi:10.1002/2017GL076708

Title: Estimating Fault Friction From Seismic Signals in the Laboratory

Journal Article · Mon Jan 29 00:00:00 EST 2018 · Geophysical Research Letters

DOI:https://doi.org/10.1002/2017GL076708· OSTI ID:1440476

^[1];

^[1]; Bolton, David C. ^[2]; Ren, Christopher X. ^[3]; Riviere, Jacques ^[4];

^[2]; Guyer, Robert A. ^[5];

^[1]

Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Pennsylvania State Univ., University Park, PA (United States). Dept. of Geosciences
Univ. of Cambridge (United Kingdom). Dept. of Materials Science and Metallurgy
Pennsylvania State Univ., University Park, PA (United States). Dept. of Geosciences; Grenoble Alpes Univ., Grenoble (France). Inst. of Earth Sciences (ISTerre)
Los Alamos National Laboratory, Geophysics Group, Los Alamos NM USA

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Research Organization:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: USDOE Laboratory Directed Research and Development (LDRD) Program

Grant/Contract Number:: AC52-06NA25396; 89233218CNA000001

OSTI ID:: 1440476

Alternate ID(s):: OSTI ID: 1558055

Report Number(s):: LA-UR-17-29312; LA-UR-18-29849

Journal Information:: Geophysical Research Letters, Vol. 45, Issue 3; ISSN 0094-8276

Publisher:: American Geophysical UnionCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 48 works

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Cited By (10)

Machine Learning Reveals the Seismic Signature of Eruptive Behavior at Piton de la Fournaise Volcano Ren, C. X.; Peltier, A.; Ferrazzini, V. Geophysical Research Letters, Vol. 47, Issue 3 https://doi.org/10.1029/2019gl085523	journal	February 2020
Predicting Imminence of Analog Megathrust Earthquakes With Machine Learning: Implications for Monitoring Subduction Zones Corbi, F.; Bedford, J.; Sandri, L. Geophysical Research Letters, Vol. 47, Issue 7 https://doi.org/10.1029/2019gl086615	journal	March 2020
Similarity of fast and slow earthquakes illuminated by machine learning Hulbert, Claudia; Rouet-Leduc, Bertrand; Johnson, Paul A. Nature Geoscience, Vol. 12, Issue 1 https://doi.org/10.1038/s41561-018-0272-8	journal	December 2018
Continuous chatter of the Cascadia subduction zone revealed by machine learning Rouet-Leduc, Bertrand; Hulbert, Claudia; Johnson, Paul A. Nature Geoscience, Vol. 12, Issue 1 https://doi.org/10.1038/s41561-018-0274-6	journal	December 2018
Machine learning for data-driven discovery in solid Earth geoscience Bergen, Karianne J.; Johnson, Paul A.; de Hoop, Maarten V. Science, Vol. 363, Issue 6433 https://doi.org/10.1126/science.aau0323	journal	March 2019
New Opportunities and Challenges of Geo-ICT Convergence Technology: GeoCPS and GeoAI Ryu, Dongwoo Journal of the Korean Society of Mineral and Energy Resources Engineers, Vol. 56, Issue 4 https://doi.org/10.32390/ksmer.2019.56.4.383	journal	August 2019
Predicting imminence of analog megathrust earthquakes with machine learning: Implications for monitoring subduction zones Corbi, F.; Bedford, J.; Sandri, L. Freie Universität Berlin https://doi.org/10.17169/refubium-26813	text	January 2020
Predicting Imminence of Analog Megathrust Earthquakes With Machine Learning: Implications for Monitoring Subduction Zones Corbi, F.; Bedford, J.; Sandri, L. FID GEO https://doi.org/10.23689/fidgeo-4178	text	January 2020
Machine Learning Reveals the State of Intermittent Frictional Dynamics in a Sheared Granular Fault Ren, C. X.; Dorostkar, O.; Rouet-Leduc, B. arXiv https://doi.org/10.48550/arxiv.1903.11157	text	January 2019
Machine Learning Reveals the Seismic Signature of Eruptive Behavior at Piton de la Fournaise Volcano Ren, C. X.; Peltier, A.; Ferrazzini, V. arXiv https://doi.org/10.48550/arxiv.1909.12395	text	January 2019

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