Work

Sparse grid techniques for particle-in-cell schemes

Year: 2016
Type: article
Abstract: We propose the use of sparse grids to accelerate particle-in-cell (PIC) schemes. By using the so-called ‘combination technique’ from the sparse grids literature, we are able to dramatically increase the size of the spatial cells in multi-dimensional PIC schemes while paying only a slight penalty in grid-based error. The resulting increase in cell size allows us to reduce the statistical noise in the simulation without increasing total particle number. We present initial proof-of-principle results from test cases in two and three dimensions that demonstrate the new scheme’s efficiency, both in terms of computation time and memory usage.
Institution: New York University
Language: English
Open Access status: bronze
OpenAlex ID: W2489593148
FWCI: 0.66
Cites: 57
Cited by: 46
Related to: 10