Data-driven design of thermal-mechanical multifunctional metamaterials DOI
Xiaochang Xing,

Yanxiang Wang,

Jianchang Jiang

et al.

Materials Today Physics, Journal Year: 2024, Volume and Issue: unknown, P. 101603 - 101603

Published: Nov. 1, 2024

Language: Английский

Implementing the inverse design and vibration isolation applications of piezoelectric acoustic black hole beams by machine learning DOI
Wentao Wu,

Xiaobiao Shan,

Huan Zhang

et al.

Thin-Walled Structures, Journal Year: 2025, Volume and Issue: unknown, P. 113074 - 113074

Published: Feb. 1, 2025

Language: Английский

Citations

5
Generative deep learning for designing irregular metamaterials with programmable nonlinear mechanical responses DOI

Zhuoyi Wei,

Jiaxin Chen, Kai Wei

et al.

International Journal of Mechanical Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 110123 - 110123

Published: March 1, 2025

Language: Английский

Citations

2
Snap‐through instability in mechanical metamaterials DOI Creative Commons
Sen Yan, Lingling Wu, Yongzheng Wen

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 9, 2025

Abstract Snap‐through instability, a rapid transition between equilibrium states, has emerged as crucial mechanism for designing mechanical metamaterials with novel functionalities, including fast motion, energy modulation, and bistable deformation. Metamaterials snap‐through known snapping metamaterials, have enabled diverse applications, such robotics, sensing, absorption, shape reconfiguration, intelligence. Given the importance of these advancements, comprehensive review this field is highly desired. This paper provides an overview recent research on focusing their design strategies applications. Here, we summarized in several respects, beam‐based structures, shell‐based origami/kirigami designs, according to basic elements, alongside brief discussion unique deformation mechanisms. Furthermore, potential applications are presented terms energy, To conclude, perspectives challenges opportunities emerging highlighted, offering insights into future development metamaterials.

Language: Английский

Citations

1
Design strategy of curved-beam based metamaterial with unprecedented lateral deformation mode transition DOI

Jinyu Ji,

Kai Zhang, Xiaogang Guo

et al.

International Journal of Mechanical Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 110136 - 110136

Published: March 1, 2025

Language: Английский

Citations

1
Optimizing Metamaterial Inverse Design with 3D Conditional Diffusion Model and Data Augmentation DOI Creative Commons
Xiaoyang Zheng, Junichiro Shiomi, Takayuki Yamada

et al.

Advanced Materials Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

Abstract The inverse design of metamaterials is critical for advancing their practical applications. Although deep learning has transformed this process, challenges remain, particularly with insufficient data and less realistic, diverse generation 3D represented as voxels. To address these limitations, a augmentation technique developed based on topological perturbation introduced conditional diffusion model (3D‐CDM) to optimize metamaterial generation. This original dataset, comprising 200 voxel representations lattices triply periodic minimal surfaces, labeled effective physical properties computed using homogenization methods. dataset expanded 5000 entries the proposed technique. Training 3D‐CDM augmented significantly improved quality accuracy generated designs. successfully produces realistic targeted properties, including volume fraction, Young's modulus, thermal conductivity, outperforming existing voxel‐based generative models in terms fidelity diversity. can be further optimized extended broader range material microstructures.

Language: Английский

Citations

1
Embedding Physics Information into Neural Networks to Enhance the Accuracy of Star-Shaped Elastic Metamaterial Design DOI Creative Commons
Jincheng He, Tao Chen, Gen Li

et al.

Physics Letters A, Journal Year: 2025, Volume and Issue: unknown, P. 130213 - 130213

Published: Jan. 1, 2025

Language: Английский

Citations

0
Impact protection mechanism and failure prediction of modular hierarchical honeycomb system with self-locking effect DOI

Haokai Zheng,

Chunlei Li,

Yu Sun

et al.

International Journal of Impact Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105274 - 105274

Published: March 1, 2025

Language: Английский

Citations

0
Inverse design of multistable kirigami metamaterial via geometry-enabled shape programming and transforming DOI
Yanqi Yin, Yunzhou Hu, Yang Yu

et al.

Physical Review Applied, Journal Year: 2025, Volume and Issue: 23(3)

Published: March 25, 2025

Citations

0
Flexible iontronic sensing DOI
Yang Li, Ningning Bai,

Yu Chang

et al.

Chemical Society Reviews, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

The emerging flexible iontronic sensing (FITS) technology offers a novel approach to tactile perception, mimicking human skin's structure and enabling seamless integration with biological systems. This review highlights its latest advancements.

Language: Английский

Citations

0
Balanced optimization of multiple mechanical properties of homogeneous architecture hyperelastic material DOI
Le Chen, Songlin Yu, Changlin Li

et al.

Composites Part A Applied Science and Manufacturing, Journal Year: 2025, Volume and Issue: unknown, P. 108932 - 108932

Published: April 1, 2025

Language: Английский

Citations

0