Figures, plotting scripts, and data for "A fast, low-cost, and stable memory algorithm for implementing multicomponent transport in direct numerical simulations"
Authors/Creators
- 1. Oregon State University
- 2. California Institute of Technology
Description
This dataset contains the figures, as well as the necessary plotting scripts and data to reproduce them, for the article "A fast, low-cost, and stable memory algorithm for implementing multicomponent transport in direct numerical simulations" by Aaron J. Fillo, Jason Schlup, Guillaume Beardsell, Guillaume Blanquart, and Kyle E. Niemeyer (2019). In addition, the code used to generate the eigenvalues in Table 1 is included.
The scripts were run in Matlab 2019a, though none of the versions used should be version-dependent. Furthermore, non-standard functions are included with dependencies hard-coded. We used export_fig (https://github.com/altmany/export_fig) to generate high-quality figures, and redistribute the version used here for reproducibility (export_fig was developed by Oliver J. Woodford and Yair M. Altman, and made available openly under the BSD 3-Clause License).
The code included in this dataset is released under the BSD 3-Clause License (see LICENSE.txt for details), other than the source of export_fig, as described. The figures are shared under the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).
Notes
Files
3D_turbulent_schematic.pdf
Files
(6.7 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:1c3c31dedceb311d4b28a9eae3236b9c
|
59.7 kB | Preview Download |
|
md5:aa1dc22e37a062ba7015a202d022c86d
|
4.3 MB | Preview Download |
|
md5:8739360e75ee1c80fdac44e0ba86f534
|
75.9 kB | Preview Download |
|
md5:82fc1040fdd2318022a24c074809f4ab
|
55.2 kB | Preview Download |
|
md5:ff253213856bbcff7ac5541fbd7d3273
|
83.7 MB | Preview Download |
|
md5:296aa3d5b459e14f38422c1e4ec2bc96
|
308.3 MB | Preview Download |
|
md5:5ec08b24ea4f8ee9a9a407ba09a88b54
|
6.3 GB | Preview Download |
|
md5:d5b773372106837338dbc4a9e26dacdb
|
65.8 kB | Preview Download |
|
md5:d64e92b27c2dd0adb8d25010ad680f27
|
238.4 kB | Preview Download |
|
md5:e09713d82e91d27e9048fd56566596ba
|
598.9 kB | Preview Download |
|
md5:0583a5f36be09b012b67b5fd5a465280
|
2.3 MB | Preview Download |
|
md5:3faa983f65ad04dec34538a27adfd9cb
|
508.7 kB | Preview Download |
|
md5:e8e6b8a987c2323301f62b58e9958053
|
15.6 MB | Preview Download |
|
md5:b93b1606c3cfd89d7565a0a1fef63fc3
|
1.6 kB | Preview Download |
|
md5:ec8554027caee87e40b3f0199f2d7f51
|
10.0 kB | Preview Download |
|
md5:eee22bc9c0de9e30ef49e98b66f89a04
|
1.2 kB | Preview Download |
|
md5:56d29bb4cac4ce11ddd61030d9fccb4f
|
3.5 kB | Download |
Additional details
Related works
- Is supplement to
- Preprint: https://arxiv.org/abs/1808.05463 (URL)
- Journal article: 10.1016/j.jcp.2019.109185 (DOI)