Acoustic emissions document stress changes over many seismic cycles in stick‐slip experiments

By T. Goebel, Danijel Schorlemmer, Thorsten W. Becker, G. Dresen, C. Sammis. 2013

273 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Geophysics

View Paper: https://www.semanticscholar.org/paper/3d8a4dcf2439074265cdaeda5a675c929ce6d43a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. P. Johnson
2. Kipton Barros
3. Nicholas Lubbers

In Geophysics

1. P. Johnson

Citations in the corpus

• Machine Learning Predicts Laboratory Earthquakes (2017, methodology): “These advances have led to exciting discoveries of previously uniden-tified slip processes that include slow slip (Melbourne & Webb, 2003), low frequency earthquakes and Earth tremor (Brown et al., 2009; Obara, 2002; Shelly et al., 2007) that occur deep in faults.”
• Evolution of b-value during the seismic cycle: Insights from laboratory experiments on simulated faults (2018, background): “Our results complement the observations from previous laboratory studies (Scholz, 1968b; Lei, 2003; Lei et al., 2003; Thompson et al., 2005; Michlmayr et al., 2012; Goebel et al., 2013; Johnson et al., 2013; Kwiatek et al., 2014) as well as field studies (Schorlemmer et al.”