# Extending the Capabilities of Data-Driven Reduced-Order Models to Make Predictions for Unseen Scenarios: Applied to Flow Around Buildings

> Research article (Frontiers in Physics, 2022) · cited 13× · AI/ML

**Wikidata**: [openalex:W4283802940](https://www.wikidata.org/wiki/openalex:W4283802940)  
**Source**: https://4ort.xyz/entity/extending-the-capabilities-of-data-driven-reduced-order-models-to-make-predictions-for-unseen-scenarios-applied-to-flow-
