Control of acoustic waves using finite acoustic metaclusters

Abstract

In this talk, a novel method to model finite metaclusters that can steer the energy of an incident wave preferentially toward a given direction will be presented. This design is realized by solving an inverse multiple scattering problem for selecting a desired energy distribution of scattered waves. The incident wave energy can be redirected toward a desired direction using a 2D metacluster configuration with a finite number of fluid cylinders embedded in a homogeneous fluid medium. For a faster implementation of the method, we consider a small cylindrical particle limit which corresponds to low frequency scattering. The required mechanical properties of fluid scatterers are defined by T-matrix components obtained by solving a linear system of equations. A major challenge in implementing and applying our computational model to the design of metacluster devices is to ensure that the scatterers remain manufacturable using available conventional materials. These metaclusters are designed by minimizing the relative error between given and computed scattering patterns and by using advanced optimization algorithms and deep learning. Steering the incident acoustic wave energy is realized by designing simple physically implementable configurations consisting of only three or more scatterers.