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 …

Abstract Machine learning opens up a new avenue for advancing the development of
phononic crystals and elastic metamaterials. Numerous learning models have been …

This paper presents an isogeometric shape optimization methodology to widen the band
gap of periodic composite plates by smoothly optimizing its thickness profile. To save the …

Due to its remarkable energy absorption properties, porous metals have widespread
applications in engineering. However, the high randomness of pore morphology greatly …

In this study, successful joints were fabricated on 4-mm-thick aluminum alloy 5052 sheets by
using friction stir spot welding (FSSW) method. This research thoroughly investigated the …

This paper introduces a novel machine learning-based optimization strategy for multi-
functional acoustic black hole (ABH) metaplates. The primary objective is to achieve a multi …

In this work, a method for inverse design of two-dimensional honeycomb pentamode
metastructures (HPM) based on the Conditional Variational Auto-Encoder (CVAE) is …

In the past three decades, biomedical engineering has emerged as a significant and rapidly
growing field across various disciplines. From an engineering perspective, biomaterials …

The existing researches on controlling the longitudinal waves through periodic rods with
frequency bands mainly focus on the analysis of band structures together with their …

Current research on the inverse design of phononic crystals, which aim to retrieve optimal
structures according to given band gaps, is limited to controlling elastic waves at the macro …