Enabling large-scale viscoelastic calculations via neural network acceleration

Geophysical Research Letters

Volumn 44, Issue 6, 2017, Pages 2662-2669

  DeVries, Phoebe M R ^a   Thompson, T Ben ^a   Meade, Brendan J ^a  

^a HARVARD UNIVERSITY   (United States)

Author keywords

artificial neural networks; viscoelastic earthquake cycle models

Indexed keywords

DEEP NEURAL NETWORKS; GEOPHYSICS; LEARNING SYSTEMS; NEURAL NETWORKS; VISCOELASTICITY;

COMPUTATIONAL COSTS; COMPUTATIONALLY EFFICIENT; EARTHQUAKE CYCLES; LARGE EARTHQUAKES; MACHINE LEARNING APPROACHES; SPATIAL AND TEMPORAL RESOLUTIONS; SPATIAL AND TEMPORAL SCALE; TIME-DEPENDENT DEFORMATION;

EARTHQUAKES;

ACCELERATION; ARTIFICIAL NEURAL NETWORK; DEFORMATION; EARTHQUAKE PREDICTION; EARTHQUAKE RECURRENCE; FAULT; GEOMETRY; MODEL TEST; RHEOLOGY; TRAINING; VISCOELASTICITY;

EID: 85016549448     PISSN: 00948276     EISSN: 19448007     Source Type: Journal    
DOI: 10.1002/2017GL072716     Document Type: Article

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