Generalized Forcing Method: Generation of diverse data for training linear transport PDE closure models
This archive contains the reproduction data, reduced models, plotting scripts, and precomputed figures for the paper “Generalized Forcing Method: Generation of Diverse Data for Training Linear Transport PDE Closure Models.” The archive includes five model-evaluation cases: two homogeneous parallel-flow cases, two inhomogeneous-flow cases, and one homogeneous random-flow case. The provided scripts evaluate the reduced models against the included test solutions and reproduce the RMSE convergence plots and eGFM dataset-summary plots reported in the manuscript. The release is intended for figure reproduction and model-evaluation verification. It does not include the full simulation code or the model-fitting code.
Authors
- Wenyuan Xue (ORCID: https://orcid.org/0000-0001-7398-5785)
- Ali Mani (ORCID: https://orcid.org/0000-0001-7497-9328)
Publication Details
- Journal
- Physical Review Fluids
- Published
- 2026-10-13
- DOI
- https://doi.org/10.1103/52jk-xb5y
- Primary Topic
- Model Reduction and Neural Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Office of Naval Research