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Lattice Boltzmann Methods (LBM) are used for the computational simulation of New-tonian fluid dynamics. In general, LBM-based simulations are relatively straightforward to parallelize, and this technique has been applied numerous times on general-purpose processors [16][2][31], field-programmable gate arrays (FPGAs) [21], and graphics processing units(More)
BACKGROUND Contrasting biological, chemical and hydrogeological analyses highlights the fundamental processes that shape different environments. Generating and interpreting the biological sequence data was a costly and time-consuming process in defining an environment. Here we have used pyrosequencing, a rapid and relatively inexpensive sequencing(More)
  • Martin O Saar, Michael Manga, Katharine V Cashman, Sean Fremouw
  • 2001
The formation of a continuous crystal network in magmas and lavas can provide finite yield strength, d y , and can thus cause a change from Newtonian to Bingham rheology. The rheology of crystal^melt suspensions affects geological processes, such as ascent of magma through volcanic conduits, flow of lava across the Earth's surface, melt extraction from(More)
Keywords: General purpose graphics processing units Accelerators Parallel computing Lattice Boltzmann Spectral finite element method Least-squares minimization Geofluids Seismology Magnetic force microscopy a b s t r a c t Many complex natural systems studied in the geosciences are characterized by simple local-scale interactions that result in complex(More)
We study continuum percolation of three-dimensional randomly oriented soft-core polyhedra (prisms). The prisms are biaxial or triaxial and range in aspect ratio over six orders of magnitude. Results for prisms are compared with studies for ellipsoids, rods, ellipses, and polygons and differences are explained using the concept of the average excluded(More)
Partial-bounceback lattice-Boltzmann methods employ a probabilistic meso-scale model that varies individual lattice node properties to reflect a material's local permeability. These types of models have great potential in a range of geofluid, and other science and engineering, simulations of complex fluid flow. However, there are several different possible(More)
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