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

Artificial intelligence (AI) is gaining strength, and materials science can both contribute to
and profit from it. In a simultaneous progress race, new materials, systems, and processes …

The use of high-throughput density functional theory (DFT) calculations to screen for new
materials and conduct fundamental research presents an exciting opportunity for materials …

Dielectric elastomers are active materials that undergo large deformations and change their
instantaneous moduli when they are actuated by electric fields. By virtue of these features …

In this work, a novel approach for the topology optimization of phononic crystals based on
the replacement of the computationally demanding traditional solvers for the calculation of …

Modeling of heterogeneous materials and media is a problem of fundamental importance to
a wide variety of phenomena with applications to many disciplines, ranging from condensed …

This paper presents a comprehensive review of the literature and trends on the design of
periodic microstructural composite materials including photonic crystals (PtCs), phononic …

Active tuning of frequency bandgaps has received significant attention in the recent past. To
this end, soft compressible phononic composites have indicated great promise owing to their …

Full and directional band gap acoustic metamaterials offer the promising ability of controlling
and prohibiting propagation of acoustic/elastic waves in specified frequency ranges or …

Flexible manipulation of elastic and acoustic waves through phononic meta-structured
materials (PMSMs) has attracted a lot of attention in the last three decades and shows a …