Presented is a data-driven machine learning framework for modeling traveling wave spatiotemporal dynamics. The presented based on the steadily propagating ansatz, u(x,t)=U(?=x?ct+a). For known evolution equations, this coordinate transformation reduces governing partial differential equations to set of coupled ordinary (ODEs) in ?. Although waves are readily observed many physical systems, unde...