This paper presents a semi-analytical method of suppressing acoustic scattering using
reinforcement learning (RL) algorithms. We give a RL agent control over design parameters …

We derive a formula for the gradients of the total scattering cross-section (TSCS) with
respect to positions of a set of cylindrical scatterers. The analytic form enhances modeling …

A gradient-based optimization (GBO) method is presented for acoustic lens design and
sound localization. GBO uses a semi-analytical optimization combined with the principle of …

Metamaterials are engineered composites that can achieved electromagnetic and
mechanical properties that do not exist in natural materials by rearranging their structures …

Metamaterials are engineered composites that can exhibit acoustic, electromagnetic, elasto-
dynamic and mechanical properties that are not found in natural materials. Due to the …

This thesis aims to contribute to the development of a novel approach and efficient method
for the inverse design of acoustic metamaterial lenses using machine learning, specifically …

This paper presents a parameter optimisation strategy for phononic structures. The phononic
structures here are assumed consisting of multiple scatterers. The rotation angles of each …

A gradient-based optimization (GBO) method is presented for acoustic lens design and
sound localization. GBO uses a semi-analytical optimization combined with the principle of …