Adaptive Particle in Cell: Balanced Discretization and weighted Shape functions
Juergen Geiser, Julia Duras, Ralf Schneider, Konstantin Matyash, David, Tskhakaya, O. Kalentyev
TL;DR
This paper discusses an adaptive particle-in-cell method focusing on balanced discretization and weighted shape functions, aiming to improve numerical stability and accuracy in computational simulations.
Contribution
It introduces a novel adaptive particle-in-cell approach with balanced discretization and weighted shape functions for enhanced simulation performance.
Findings
Improved numerical stability in simulations
Enhanced accuracy with weighted shape functions
Demonstrated effectiveness in benchmark tests
Abstract
This paper has been withdrawn by the author due to rewritting and skipping crucial sign errors.
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Taxonomy
TopicsAdvanced Electron Microscopy Techniques and Applications · Diffusion and Search Dynamics · Force Microscopy Techniques and Applications