Deep learning for laboratory earthquake prediction and autoregressive forecasting of fault zone stress

Predicting Off‐Fault Deformation From Experimental Strike‐Slip Fault Images Using Convolutional Neural Networks

(2022) L. Chaipornkaew et al.   GEOPHYSICAL RESEARCH LETTERS

Global growth of earthquake early warning

(2022) Richard M. Allen et al.   SCIENCE

Laboratory earthquake forecasting: A machine learning competition

(2021) Paul A. Johnson et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Deep Learning Can Predict Laboratory Quakes From Active Source Seismic Data

(2021) Parisa Shokouhi et al.   GEOPHYSICAL RESEARCH LETTERS

Machine learning and earthquake forecasting—next steps

(2021) Gregory C. Beroza et al.   Nature Communications

Predicting fault slip via transfer learning

(2021) Kun Wang et al.   Nature Communications

Frequency‐Magnitude Statistics of Laboratory Foreshocks Vary With Shear Velocity, Fault Slip Rate, and Shear Stress

(2021) David C. Bolton et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

The mixology of precursory strain partitioning approaching brittle failure in rocks

(2020) J McBeck et al.   GEOPHYSICAL JOURNAL INTERNATIONAL

Earthquake Early Warning ShakeAlert 2.0: Public Rollout

(2020) Monica D. Kohler et al.   SEISMOLOGICAL RESEARCH LETTERS

New Opportunities to Study Earthquake Precursors

(2020) Matthew E. Pritchard et al.   SEISMOLOGICAL RESEARCH LETTERS

Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking

(2020) S. Mostafa Mousavi et al.   Nature Communications

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

(2020) David C. Bolton et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

The Spatiotemporal Evolution of Granular Microslip Precursors to Laboratory Earthquakes

(2020) Daniel T. Trugman et al.   GEOPHYSICAL RESEARCH LETTERS

Bifurcations at the Stability Transition of Earthquake Faulting

(2020) Deepa Mele Veedu et al.   GEOPHYSICAL RESEARCH LETTERS

An exponential build-up in seismic energy suggests a months-long nucleation of slow slip in Cascadia

(2020) Claudia Hulbert et al.   Nature Communications

Competition between preslip and deviatoric stress modulates precursors for laboratory earthquakes

(2020) Srisharan Shreedharan et al.   EARTH AND PLANETARY SCIENCE LETTERS

Machine Learning can predict the timing and size of analog earthquakes

(2019) F. Corbi et al.   GEOPHYSICAL RESEARCH LETTERS

Pairwise Association of Seismic Arrivals with Convolutional Neural Networks

(2019) Ian W. McBrearty et al.   SEISMOLOGICAL RESEARCH LETTERS

Characterizing Acoustic Signals and Searching for Precursors during the Laboratory Seismic Cycle Using Unsupervised Machine Learning

(2019) David C. Bolton et al.   SEISMOLOGICAL RESEARCH LETTERS

Can Precursory Moment Release Scale With Earthquake Magnitude? A View From the Laboratory

(2019) Mateo Acosta et al.   GEOPHYSICAL RESEARCH LETTERS

Evolution of b -value during the seismic cycle: Insights from laboratory experiments on simulated faults

(2018) J. Rivière et al.   EARTH AND PLANETARY SCIENCE LETTERS

Estimating Fault Friction From Seismic Signals in the Laboratory

(2018) Bertrand Rouet-Leduc et al.   GEOPHYSICAL RESEARCH LETTERS

Earthquake Catalog-Based Machine Learning Identification of Laboratory Fault States and the Effects of Magnitude of Completeness

(2018) Nicholas Lubbers et al.   GEOPHYSICAL RESEARCH LETTERS

Similarity of fast and slow earthquakes illuminated by machine learning

(2018) Claudia Hulbert et al.   Nature Geoscience

Machine Learning in Seismology: Turning Data into Insights

(2018) Qingkai Kong et al.   SEISMOLOGICAL RESEARCH LETTERS

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

What allows seismic events to grow big?: Insights from b-value and fault roughness analysis in laboratory stick-slip experiments

(2017) Thomas H.W. Goebel et al.   GEOLOGY

Machine Learning Predicts Laboratory Earthquakes

(2017) Bertrand Rouet-Leduc et al.   GEOPHYSICAL RESEARCH LETTERS

Slip heterogeneity and directivity of the ML 6.0, 2016, Amatrice earthquake estimated with rapid finite-fault inversion

(2016) E. Tinti et al.   GEOPHYSICAL RESEARCH LETTERS

Precursory changes in seismic velocity for the spectrum of earthquake failure modes

(2016) M. M. Scuderi et al.   Nature Geoscience

Laboratory observations of slow earthquakes and the spectrum of tectonic fault slip modes

(2016) J. R. Leeman et al.   Nature Communications

On the stress dependence of the earthquake b value

(2015) Christopher H. Scholz   GEOPHYSICAL RESEARCH LETTERS

Precursors to the shear failure of rock discontinuities

(2014) Ahmadreza Hedayat et al.   GEOPHYSICAL RESEARCH LETTERS

Seismic moment tensor andbvalue variations over successive seismic cycles in laboratory stick-slip experiments

(2014) Grzegorz Kwiatek et al.   GEOPHYSICAL RESEARCH LETTERS

Strong Ground Motion Prediction Using Virtual Earthquakes

(2014) M. A. Denolle et al.   SCIENCE

Preslip and cascade processes initiating laboratory stick slip

(2014) Gregory C. McLaskey et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

Characterization of nucleation during laboratory earthquakes

(2013) S. Latour et al.   GEOPHYSICAL RESEARCH LETTERS

Monitoring frictional strength with acoustic wave transmission

(2008) Kohei Nagata et al.   GEOPHYSICAL RESEARCH LETTERS