Machine learning–based reduced-order modeling of hydrodynamic forces using pressure mode decomposition

In this article, we introduce a machine learning–based reduced-order modeling (ML-ROM) framework through the integration of proper orthogonal decomposition (POD) and deep neural networks (DNNs), in...