SPARTACUS is a Unified Stochastic Particle (USP) solver based on SPARTA. SPARTACUS stands for SPARTA Combined with USP. The USP method is proposed by Fei et al. to simulate multi-scale gas flows.
examples_USP contains Several benchmark cases and tutorial examples.
doc/collide.html & doc/collide_bgk_modify.html contains essential documentation about this solver.
Downloading, installing and using SPARTACUS is exactly the same as SPARTA, which is fully described within SPARTA Users Manual, unless specified in the above files and directories
SPARTACUS Papers
The following paper describes the USP method and its implementation within the SPARTACUS framework.
Feng, K., Tian, P., Zhang, J., Fei, F., Wen, D., 2022. SPARTACUS: An open-source unified stochastic particle solver for the simulation of multiscale nonequilibrium gas flows. Computer Physics Communications 108607. https://doi.org/10.1016/j.cpc.2022.108607
The following are some references on the theory and application of the USP method.
Fei, F., Zhang, J., Li, J., Liu, Z., 2020. A unified stochastic particle Bhatnagar-Gross-Krook method for multiscale gas flows. Journal of Computational Physics 400, 108972.
Fei, F., Jenny, P., 2021. A hybrid particle approach based on the unified stochastic particle Bhatnagar-Gross-Krook and DSMC methods. Journal of Computational Physics 424, 109858.
Zhang, J., John, B., Pfeiffer, M., Fei, F., Wen, D., 2019. Particle-based hybrid and multiscale methods for nonequilibrium gas flows. Adv. Aerodyn. 1, 12.
Fei, F., Hu, Y., Jenny, P., 2022. A unified stochastic particle method based on the Bhatnagar-Gross-Krook model for polyatomic gases and its combination with DSMC. Journal of Computational Physics 471, 111640.
Fei, F., Jenny, P., 2022. A high-order unified stochastic particle method based on the Bhatnagar-Gross-Krook model for multi-scale gas flows. Computer Physics Communications 274, 108303.
Zhang, J., Yao, S., Fei, F., Ghalambaz, M., Wen, D., 2020. Competition of natural convection and thermal creep in a square enclosure. Physics of Fluids 32, 102001.
SPARTA on GitHub: https://github.com/sparta/sparta
Original SPARTA README:
This is the SPARTA software package.
SPARTA stands for Stochastic PArallel Rarefied-gas Time-accurate Analyzer.
Copyright (2014) Sandia Corporation. Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation, the U.S. Government retains certain rights in this software. This software is distributed under the GNU General Public License.
SPARTA is a Direct Simulation Monte Carlo (DSMC) code designed to run efficiently on parallel computers. It was developed at Sandia National Laboratories, a US Department of Energy facility, with funding from the DOE. It is an open-source code, distributed freely under the terms of the GNU Public License (GPL).
The primary authors of the code are Steve Plimpton and Michael Gallis, who can be emailed at sjplimp@sandia.gov and magalli@sandia.gov. The SPARTA web site at http://sparta.sandia.gov has more information about the code and its uses.
The SPARTA distribution includes the following files and directories:
README this file LICENSE the GNU General Public License (GPL) bench benchmark problems data files with species/reaction params, surface files doc documentation examples simple test problems lib additional library files python Python wrapper on SPARTA as a library src source files tools pre- and post-processing tools
Point your browser at any of these files to get started:
doc/Manual.html the SPARTA manual doc/Section_intro.html hi-level introduction to SPARTA doc/Section_start.html how to build and use SPARTA doc/Developer.pdf SPARTA developer guide