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Landslide models are typically dynamic, spatially distributed simulations with large data requirements for parameterisation and are often computationally intensive.
Periodic structures often appear in simulations with large or even unbounded domain, such as magnetostatic/electrostatic field simulations.
We present a fully relativistic energy-conserving binary collision model for particle simulations with large density scale plasmas.
Several example applications of GridPACK are presented to demonstrate the capabilities of GridPACK and the performance of HPC simulations with large power grid networks.
In addition, MARMOT provides access to mesh and time step adaptivity, reducing the cost for performing simulations with large disparities in both spatial and temporal scales.
Utilizing a few random collocation points, the method indicates also a very good agreement compared to the sampling-based Monte Carlo simulations with large number of realizations.
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In [11], an annual time series production simulation model with large scale wind energy and solar power generation was developed based on timing sequence.
We also made simulations with larger values for viscosity and density, based on properties of an ink-based liquid used in inkjet printing.
In order to allow simulations with larger resolution, we have first reconsidered the grouping strategy as described in J. Barnes (1990, J. Comput. Phys.87, 161) (hereafter B90) and applied it with some modifications to our WDSH PT (Work and Data SHaring Parallel Tree) code (U. Becciani et al., 1996, Comput. Phys. Comm.99, 1).
(a) Black and gray lines indicate maximum tsunami heights of numerical simulations with larger- and smaller-earthquake scenarios, respectively.
However, Fujita et al. (2012) later revisited the simulations with larger amplitude SI− and concluded that SI−and SI+ are not in a mirror image relation.
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