xROM is a freely available tool for reduced-order modeling. One purpose of xROM is to derive dynamic POD models from snapshot data and Galerkin projection using the Navier-Stokes
We have used earlier versions of this tool for most of the empirical Galerkin models since 2003 and plan to continually expand xROM's capabilities (e.g.SPOD, CROM, etc.).
Semaan, R., Fernex, D., Weiner, A., & Noack, B. R. (2020). xROM: A Toolkit for Reduced-Order Modeling of Fluid Flows. In R. Semaan & B. R. Noack (Eds.), Machine Learning Tools in Fluid Mechanics (First Edition). https://doi.org/10.24355/dbbs.084-202007011404-0
The xROM package can be downloaded here: https://cloudstorage.tu-braunschweig.de/getlink/fiMrBkvkBZ3e5atJzfMpApgW/xROM-1.1.zip
Signal COrrection and Uncertainty quantification Toolbox, SCOUT, analyzes, characterizes, and corrects one-dimensional signals. Specifically, it allows to
The novelty of SCOUT lies in combining these various methods into one compact and easy-to-use toolbox, which enables students and professionals alike to analyze, characterize, and correct for signals without expert knowledge. The program is oriented towards time traces, but an easy adaptation to spatial distributions can be performed by the user. SCOUT is available in two variants:
A key motivation of having two variants is to offer maximum flexibility to adaptively and visually adjust the analysis settings using the GUI version and to enable large batch processing capabilities and own code-integration using the script-based version. The package includes both variants as well as three example scripts with their corresponding signals.
Dr. Richard Semaan
Technische Universität Braunschweig
Institute of Fluid Mechanics
Telefon: +49 531391 94258+49 531391 94258
Fax: +49 531391 94254