Review of additive manufactured metallic metamaterials: Design, fabrication, property and application

X Wu, H Yan, Y Zhou, P Zhang, Q Lu, H Shi - Optics & Laser Technology, 2025 - Elsevier
Metamaterials are artificial materials with extraordinary physical properties that natural
materials do not possess. The continuous development of additive manufacturing (AM) …

Machine learning in biomaterials, biomechanics/mechanobiology, and biofabrication: State of the art and perspective

C Wu, Y Xu, J Fang, Q Li - Archives of Computational Methods in …, 2024 - Springer
In the past three decades, biomedical engineering has emerged as a significant and rapidly
growing field across various disciplines. From an engineering perspective, biomaterials …

Machine learning-based optimal design of an acoustic black hole metaplate for enhanced bandgap and load-bearing capacity

S Han, N Ma, Q Han, C Li - Mechanical Systems and Signal Processing, 2024 - Elsevier
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 …

[HTML][HTML] Deep reinforcement learning for the design of mechanical metamaterials with tunable deformation and hysteretic characteristics

NK Brown, A Deshpande, A Garland, SA Pradeep… - Materials & Design, 2023 - Elsevier
Mechanical metamaterials are regularly implemented in engineering applications due to
their unique properties derived from their structural geometry and material composition. This …

[HTML][HTML] Unsupervised multimodal fusion of in-process sensor data for advanced manufacturing process monitoring

M McKinney, A Garland, D Cillessen… - Journal of Manufacturing …, 2025 - Elsevier
Effective monitoring of manufacturing processes is crucial for maintaining product quality
and operational efficiency. Modern manufacturing environments often generate vast …

Beyond the limits of parametric design: Latent space exploration strategy enabling ultra-broadband acoustic metamaterials

MW Cho, SH Hwang, JY Jang, S Hwang, KJ Cha… - … Applications of Artificial …, 2024 - Elsevier
A ventilated acoustic resonator (VAR), a type of acoustic metamaterial (AM) has emerged as
a promising solution for mitigating urban noise pollution and traffic noise which …

[HTML][HTML] Autonomous design of noise-mitigating structures using deep reinforcement learning

SB Gebrekidan, S Marburg - The Journal of the Acoustical Society of …, 2024 - pubs.aip.org
This paper explores the application of deep reinforcement learning for autonomously
designing noise-mitigating structures. Specifically, deep Q-and double deep Q-networks are …

An enhanced deep reinforcement learning approach for efficient, effective, and equitable disaster relief distribution

M Ahmad, M Tayyab, MS Habib - Engineering Applications of Artificial …, 2025 - Elsevier
Efficient disaster response, especially within the critical initial 72 h, is crucial for saving lives.
However, allocating relief goods effectively to affected areas remains a complex challenge …

Modeling and design of architected structures and metamaterials assisted with artificial intelligence

A Mora, G Herrera-Ramos… - Materials Research …, 2024 - iopscience.iop.org
Architected structures and metamaterials have attracted the attention of scientists and
engineers due to the contrast in behavior compared to the base material they are made …

[HTML][HTML] Productive automation of calibration processes for crystal plasticity model parameters via reinforcement learning

J Lee, B Tasdemir, S Das, M Martin, D Knowles… - Materials & Design, 2024 - Elsevier
Abstract Crystal Plasticity Finite Element (CPFE), which merges crystal plasticity principles
with finite element analysis, can simulate the anisotropic grain-level mechanical behaviour …