2001/01/24 by Paul B. Rundle, P. B. Rundle, John B. Rundle +6 · 1 citation
Computer Science · Earth and Planetary Sciences · Engineering · Physics and Astronomy · #Artificial intelligence #Artificial neural network #Computer science #Dissipation #Earthquake Detection and Analysis #Engineering #Fault (geology) #Geology #Network topology #Nonlinear system #Physics #Seismology #Seismology and Earthquake Studies #Statistical physics #Topology (electrical circuits) #cond-mat.dis-nn #cond-mat.stat-mech #earthquake and tectonic studies
paper · pdf · doi:10.1103/physrevlett.87.148501
12 pages, 4 figures
arxiv created 2001/01/24 · openalex publication_date 2001/09/14 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Earthquake faults occur in interacting networks having emergent space-time modes of behavior not displayed by isolated faults. Using simulations of the major faults in southern California, we find that the physics depends on the elastic interactions among the faults defined by network topology, as well as on the nonlinear physics of stress dissipation arising from friction on the faults. Our results have broad applications to other leaky threshold systems such as integrate-and-fire neural networks.