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Title: Estimating Fault Friction From Seismic Signals in the Laboratory

Authors:
ORCiD logo [1]; ORCiD logo [1];  [2];  [3];  [4]; ORCiD logo [2];  [5]; ORCiD logo [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Pennsylvania State Univ., University Park, PA (United States). Dept. of Geosciences
  3. Univ. of Cambridge (United Kingdom). Dept. of Materials Science and Metallurgy
  4. Pennsylvania State Univ., University Park, PA (United States). Dept. of Geosciences; Grenoble Alpes Univ., Grenoble (France). Inst. of Earth Sciences (ISTerre)
  5. Los Alamos National Laboratory, Geophysics Group, Los Alamos NM USA
Publication Date:
Research Org.:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Laboratory Directed Research and Development (LDRD) Program
OSTI Identifier:
1440476
Alternate Identifier(s):
OSTI ID: 1558055
Report Number(s):
LA-UR-17-29312; LA-UR-18-29849
Journal ID: ISSN 0094-8276
Grant/Contract Number:  
AC52-06NA25396; 89233218CNA000001
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Geophysical Research Letters
Additional Journal Information:
Journal Volume: 45; Journal Issue: 3; Journal ID: ISSN 0094-8276
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; machine learning; seismic signal identification; laboratory earthquake; fault friction; earthquake hazard; Earth Sciences

Citation Formats

Rouet-Leduc, Bertrand, Hulbert, Claudia, Bolton, David C., Ren, Christopher X., Riviere, Jacques, Marone, Chris, Guyer, Robert A., and Johnson, Paul A. Estimating Fault Friction From Seismic Signals in the Laboratory. United States: N. p., 2018. Web. doi:10.1002/2017GL076708.
Rouet-Leduc, Bertrand, Hulbert, Claudia, Bolton, David C., Ren, Christopher X., Riviere, Jacques, Marone, Chris, Guyer, Robert A., & Johnson, Paul A. Estimating Fault Friction From Seismic Signals in the Laboratory. United States. https://doi.org/10.1002/2017GL076708
Rouet-Leduc, Bertrand, Hulbert, Claudia, Bolton, David C., Ren, Christopher X., Riviere, Jacques, Marone, Chris, Guyer, Robert A., and Johnson, Paul A. 2018. "Estimating Fault Friction From Seismic Signals in the Laboratory". United States. https://doi.org/10.1002/2017GL076708. https://www.osti.gov/servlets/purl/1440476.
@article{osti_1440476,
title = {Estimating Fault Friction From Seismic Signals in the Laboratory},
author = {Rouet-Leduc, Bertrand and Hulbert, Claudia and Bolton, David C. and Ren, Christopher X. and Riviere, Jacques and Marone, Chris and Guyer, Robert A. and Johnson, Paul A.},
abstractNote = {},
doi = {10.1002/2017GL076708},
url = {https://www.osti.gov/biblio/1440476}, journal = {Geophysical Research Letters},
issn = {0094-8276},
number = 3,
volume = 45,
place = {United States},
year = {Mon Jan 29 00:00:00 EST 2018},
month = {Mon Jan 29 00:00:00 EST 2018}
}

Journal Article:
Free Publicly Available Full Text
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Citation Metrics:
Cited by: 43 works
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Works referenced in this record:

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Works referencing / citing this record:

Machine Learning Reveals the Seismic Signature of Eruptive Behavior at Piton de la Fournaise Volcano
journal, February 2020


Predicting Imminence of Analog Megathrust Earthquakes With Machine Learning: Implications for Monitoring Subduction Zones
journal, March 2020


Similarity of fast and slow earthquakes illuminated by machine learning
journal, December 2018


Continuous chatter of the Cascadia subduction zone revealed by machine learning
journal, December 2018


Machine learning for data-driven discovery in solid Earth geoscience
journal, March 2019


New Opportunities and Challenges of Geo-ICT Convergence Technology: GeoCPS and GeoAI
journal, August 2019