[HTML][HTML] Big data, machine learning, and digital twin assisted additive manufacturing: A review

L Jin, X Zhai, K Wang, K Zhang, D Wu, A Nazir, J Jiang… - Materials & Design, 2024 - Elsevier
Additive manufacturing (AM) has undergone significant development over the past decades,
resulting in vast amounts of data that carry valuable information. Numerous research studies …

Data‐Driven Design for Metamaterials and Multiscale Systems: A Review

D Lee, W Chen, L Wang, YC Chan… - Advanced …, 2024 - Wiley Online Library
Metamaterials are artificial materials designed to exhibit effective material parameters that
go beyond those found in nature. Composed of unit cells with rich designability that are …

Unifying the design space and optimizing linear and nonlinear truss metamaterials by generative modeling

L Zheng, K Karapiperis, S Kumar… - Nature …, 2023 - nature.com
The rise of machine learning has fueled the discovery of new materials and, especially,
metamaterials—truss lattices being their most prominent class. While their tailorable …

Intelligent on-demand design of phononic metamaterials

Y Jin, L He, Z Wen, B Mortazavi, H Guo, D Torrent… - …, 2022 - degruyter.com
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 …

From photonic crystals to seismic metamaterials: A review via phononic crystals and acoustic metamaterials

Muhammad, CW Lim - Archives of Computational Methods in Engineering, 2022 - Springer
The advancement in electromagnetic metamaterials, which commenced three decades ago,
experienced a rapid transformation into acoustic and elastic systems in the forms of …

Machine learning and deep learning in phononic crystals and metamaterials–A review

J Kennedy, CW Lim - Materials Today Communications, 2022 - Elsevier
Abstract Machine learning (ML), as a component of artificial intelligence, encourages
structural design exploration which leads to new technological advancements. By …

[HTML][HTML] Inverse design of phononic meta-structured materials

HW Dong, C Shen, Z Liu, SD Zhao, Z Ren, CX Liu… - Materials Today, 2024 - Elsevier
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 …

Deep learning for the design of phononic crystals and elastic metamaterials

CX Liu, GL Yu - Journal of Computational Design and …, 2023 - academic.oup.com
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 …

Recent Advancements in Design Optimization of Lattice‐Structured Materials

A Almesmari, AN Alagha, MM Naji… - Advanced …, 2023 - Wiley Online Library
Metamaterials, also known as lattice‐structured materials, imitate the multifunctionality of
natural architects as tailoring their physical properties is associated with manipulating their …

Deep learning approach for designing acoustic absorbing metasurfaces with high degrees of freedom

K Donda, Y Zhu, A Merkel, S Wan, B Assouar - Extreme Mechanics Letters, 2022 - Elsevier
The advent of the acoustic metasurfaces offered an unprecedented expansion of our ability
to manipulate and structure sound waves for many exotic functionalities. However, the …