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  1. Spontaneous Rupture via Fault Friction

    07 Feb 2021 | Contributor(s): Brad Aagaard, Matthew Knepley, Charles Williams

    Crustal Deformation Modeling Tutorial: Spontaneous Rupture via Fault Friction. June 28, 2013.Brad Aagaard, Matthew Knepley, Charles Williams.

  2. Spontaneous Rupture via Fault Friction

    08 Feb 2021 | Contributor(s): Brad Aagaard, Matthew Knepley, Charles Williams

    Crustal Deformation Modeling Tutorial: Spontaneous Rupture via Fault Friction. Brad Aagaard, Matthew Knepley, Charles Williams. June 24, 2014. 

  3. SSC May 2008 Meeting Presentations

    07 Feb 2021 | Contributor(s): Staff

    Presentations from the SSC Meeting held at CIG on May 29-30, 2008.

  4. Subduction Benchmarks

    09 Jan 2021 | Contributor(s): Scott King, Claire Currie, Richard Katz, Marc Spiegelman., Peter van Keken

    A benchmark for the modeling of subduction zone thermal structure. August 18-19, 2006. Scott King, Peter van Keken, Claire Currie, Richard Katz, Marc Spiegelman. 

  5. The Path to Petascale Computing in Geodynamics

    29 Jan 2021 | Contributor(s): Staff

    The Path to Petascale Computing in Geodynamics. A report by the Science Steering Committee.Computational Infrastructure for Geodynamics (CIG). December 5, 2006.

  6. Two phase theory of compaction and damage

    09 Jan 2021 | Contributor(s): David Bercovici, Yanick Ricard

    Two phase theory of compaction and damage. August 18-19, 2006. David Bercovici, Yanick Ricard. 

  7. Using multi-cycle earthquake simulations to understand crustal dynamics

    24 Jan 2021 | Contributor(s): Brad Aagaard

    Using multi-cycle earthquake simulations to understand crustal dynamics. October 16-18, 2006. Brad Aagaard. 

  8. Virtual Quake

    26 Oct 2021 | Software: Download | Contributor(s): John M. Wilson, Kasey W. Schultz, Eric M. Heiein, Michael K. Sacks, John B. Rundle

    Virtual Quake (formerly Virtual California) is a boundary element code that performs simulations of fault systems based on stress interactions between fault elements to understand long term statistical behavior.