With the growing interest in the field of artificial materials, more advanced and sophisticated
functionalities are required from phononic crystals and acoustic metamaterials. This implies …

Abstract Machine learning (ML), as a component of artificial intelligence, encourages
structural design exploration which leads to new technological advancements. By …

The development of phononic crystals, especially their interaction with topological
insulators, allows exploration of the anomalous properties of acoustic/elastic waves for …

The computer revolution coming by way of data provides an innovative approach for the
design of phononic crystals (PnCs) and elastic metamaterials (EMs). By establishing an …

In the past two decades, the research on acoustic metamaterials has flourished, which is
also benefited from the development of additive manufacturing technology. The exotic …

With the growing interest in the field of artificial materials, more advanced and sophisticated
wave functionalities are required from phononic crystals and acoustic metamaterials. Due to …

In engineering acoustics, the propagation of elastic flexural waves in plate and shell
structures is a common transmission path of vibrations and structure-borne noises. Phononic …

A predictive design, analysis, and optimization tool that quickly and accurately captures the
frequency response of locally resonant metamaterials is presented. A reduced order model …

Metamaterials are designed by arranging artificial structural elements according to periodic
geometries to obtain advantageous and unusual properties when they are hit by waves …

Compared to the conventional metasurface design, machine learning-based methods have
recently created an inspiring platform for an inverse realization of the metasurfaces. Here …