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Marone’s research group works on earthquake science, friction, fluid flow and geomechanics. Recent work has focused on the discovery that machine learning can predict the timing and in some cases magnitude of laboratory earthquakes. Research directions include the mechanics of laboratory earthquakes and the physics of precursory changes in rock properties prior to failure. Marone’s group recently discovered how to reproduce in the laboratory the full spectrum of slip modes from aseismic and slow slip to elastodynamic rupture. A major research direction involves identifying the mechanisms that allow slow, quasi-dynamic rupture in the laboratory and investigations of the extent to which such mechanisms may also operate on tectonic faults. Other directions include laboratory experiments to investigate the roles of fault slip velocity and slip history on friction (so called rate and state effects) and their application to earthquake faults. Marone’s group is studying how machine learning and other techniques can be applied to laboratory earthquake prediction to improve forecasts of the spectrum of tectonic failure modes.
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GEOPHYSICAL JOURNAL INTERNATIONALno. 3 (2024): 1206-1215
Federico Pignalberi, Carolina Giorgetti,Corentin Noel,Chris Marone,Cristiano Collettini,Marco Maria Scuderi
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTHno. 2 (2024)
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Daniele Trappolini, Laura Laurenti, Giulio Poggiali,Elisa Tinti,Fabio Galasso, Alberto Michelini,Chris Marone
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Pengliang Yu,Ankur Mali, Thejasvi Velaga, Alex Bi,Jiayi Yu,Chris Marone,Parisa Shokouhi,Derek Elsworth
Giacomo Pozzi, Giuseppe Volpe,Roberta Ruggieri,Cristiano Collettini, Marco Scuderi,Telemaco Tesei,Chris Marone,Massimo Cocco
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Roxane Tissandier,Adriano Gualandi,Lauro Chiaraluce,Enrico Serpelloni, Mike Gottlieb, Catherine Hanagan,Chris Marone
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