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

Exceptional points are complex branching singularities of non-Hermitian bands that have
lately attracted considerable interest, particularly in non-Hermitian photonics. In this article …

Acoustic metamaterials are growing in popularity for sound applications including noise
control. Despite this, there remain significant challenges associated with the fabrication of …

Application of machine learning on the design of acoustic metamaterials and phonon crystals:
A review Page 1 Smart Materials and Structures ACCEPTED MANUSCRIPT Application of …

Impedance-matched acoustic materials were developed to improve ultrasound penetration
through the aberration layer. The traditional ultrasound layer matching material is called a …

Brain imaging technology is widely used in the diagnosis of brain diseases. Computed
tomography and magnetic resonance imaging are the most common imaging modalities …

The low transmission efficiency of ultrasonic waves in waveguides of a high acoustic
impedance (referred to as dense materials), due to the impedance mismatch between the …

Objective: The objective of this work is to investigate the map** relationship between
transcranial ultrasound image quality and transcranial acoustic metamaterial parameters …

An industrially relevant challenge for acoustic meta-material (AMM) research is to
incorporate frequency tuneability, with the aim of creating adjustable acoustic sensors and …

Functional ultrasound imaging enables sensitive, high-resolution imaging of neural activity
in freely behaving animals and human patients. However, the skull acts as an aberrating …