Neural networks and structural geology

Scatterplot graph, in blues and purples, from paper referenced in link

Graduate student Hanna Elston, Professor Michele Cooke, and co-authors published research in Geophysical Research Letters that uses a Convolutional Neural Network to analyze surface-trace patterns of experimental models of strike-slip faults. The network can accurately predict crustal deformation away from the fault.