SLICK: Data-driven prediction of turbulent flows
Stochastic Low-Dimensional Inflated Convolutional Koopman model (Chu & Schmidt, PRSA 2025). Code developed by Tianyi Chu.
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
Cite As
Chu, Tianyi, and Oliver T. Schmidt. “Stochastic Reduced-Order Koopman Model for Turbulent Flows.” Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 481, no. 2323, Oct. 2025, https://doi.org/10.1098/rspa.2025.0270.
General Information
- Version 1.0.1 (98.8 MB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.1 | -code credits |
||
| 1.0.0 |
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.
