Characterization of elastic topological states using dynamic mode decomposition

Elastic topological states have been receiving increased attention in numerous scientific and engineering fields due to their defect-immune nature, resulting applications of vibration control information processing. Here, we present the data-driven discovery elastic using dynamic mode decomposition (DMD). The DMD spectrum modes are retrieved from propagation relevant along boundary, where nature is learned by DMD. Applications such as classification synthesis wave can be achieved underlying characteristics We demonstrate between traditional metamaterials modes. Moreover, model enabled realizes state given interface. Our approach characterizing pave way towards phenomena material physics more broadly lattice systems.