Abstract The use of reduced‐order models (ROMs) in physics‐based modeling and simulation almost always involves the linear reduced basis (RB) methods such as proper orthogonal decomposition (POD). For some nonlinear problems, RB perform poorly, failing to provide an efficient subspace for solution space. manifolds ROMs has gained traction recent years, showing increased performance certain prob...