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Extending the Capabilities of Data-Driven Reduced-Order Models to Make Predictions for Unseen Scenarios: Applied to Flow Around Buildings (2022)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.3389/fphy.2022.910381

Publication URI: http://dx.doi.org/10.3389/fphy.2022.910381

Type: Journal Article/Review

Parent Publication: Frontiers in Physics