Chunlin Gong

Manifold Learning with Implicit Physics Embedding for Reduced-Order Flowfield Modeling

Nonlinear manifold-learning (ML)-based reduced-order models (ROMs) can substantially improve the quality of nonlinear flowfield modeling. However, insufficient physical information often distorts the dimensionality-reduction process, reducing the robustness and accuracy of flowfi...