Machine Learning Reveals the State of Intermittent Frictional Dynamics in a Sheared Granular Fault

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

PhaseLink: A Deep Learning Approach to Seismic Phase Association

(2019) Zachary E Ross et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

Machine learning for data-driven discovery in solid Earth geoscience

(2019) Karianne J. Bergen et al.   SCIENCE

Grain Friction Controls Characteristics of Seismic Cycle in Faults With Granular Gouge

(2019) Omid Dorostkar et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

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

Sounds of Failure: Passive Acoustic Measurements of Excited Vibrational Modes

(2018) Theodore A. Brzinski et al.   PHYSICAL REVIEW LETTERS

Potential Energy as Metric for Understanding Stick–Slip Dynamics in Sheared Granular Fault Gouge: A Coupled CFD–DEM Study

(2018) Omid Dorostkar et al.   ROCK MECHANICS AND ROCK ENGINEERING

Cohesion-Induced Stabilization in Stick-Slip Dynamics of Weakly Wet, Sheared Granular Fault Gouge

(2018) Omid Dorostkar et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

Convolutional neural network for earthquake detection and location

(2018) Thibaut Perol et al.   Science Advances

Generalized Seismic Phase Detection with Deep Learning

(2018) Zachary E. Ross et al.   BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA

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

Continuous chatter of the Cascadia subduction zone revealed by machine learning

(2018) Bertrand Rouet-Leduc et al.   Nature Geoscience

Machine Learning in Seismology: Turning Data into Insights

(2018) Qingkai Kong et al.   SEISMOLOGICAL RESEARCH LETTERS

Machine Learning Predicts Laboratory Earthquakes

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

On the micromechanics of slip events in sheared, fluid-saturated fault gouge

(2017) Omid Dorostkar et al.   GEOPHYSICAL RESEARCH LETTERS

Intermittent Granular Dynamics at a Seismogenic Plate Boundary

(2017) Yasmine Meroz et al.   PHYSICAL REVIEW LETTERS

Universal Quake Statistics: From Compressed Nanocrystals to Earthquakes

(2015) Jonathan T. Uhl et al.   Scientific Reports

Models, algorithms and validation for opensource DEM and CFD-DEM

(2014) Christoph Kloss et al.   PROGRESS IN COMPUTATIONAL FLUID DYNAMICS

Influence of rolling friction on single spout fluidized bed simulation

(2012) Christoph Goniva et al.   Particuology

A simple analytic theory for the statistics of avalanches in sheared granular materials

(2011) Karin A. Dahmen et al.   Nature Physics

Empirical comparison of tree ensemble variable importance measures

(2010) Lidia Auret et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Force cycles and force chains

(2010) Antoinette Tordesillas et al.   PHYSICAL REVIEW E