Reaching a desirable metastructure for passive vibration attenuation by using a machine learning approach DOI
Ivana Kovačić, Željko Kanović, Vladimir Rajs

и другие.

Nonlinear Dynamics, Год журнала: 2024, Номер 112(23), С. 20661 - 20676

Опубликована: Авг. 26, 2024

Язык: Английский

Design of broad quasi-zero stiffness platform metamaterials for vibration isolation DOI
Kuan Liang,

Yuhui Jing,

Xiaopeng Zhang

и другие.

International Journal of Mechanical Sciences, Год журнала: 2024, Номер 281, С. 109691 - 109691

Опубликована: Авг. 29, 2024

Язык: Английский

Процитировано

11
Design optimization of 3D printed kirigami-inspired composite metamaterials for quasi-zero stiffness using deep reinforcement learning integrated with bayesian optimization DOI

Hyunsoo Hong,

Samuel S. Kim,

Wonvin Kim

и другие.

Composite Structures, Год журнала: 2025, Номер unknown, С. 119031 - 119031

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1
Design and optimization of a mechanical metamaterial featuring dual tunability in auxeticity and bandgap modulation DOI
Jiayi Hu, Zhi Gong, Yuanlong Li

и другие.

Composite Structures, Год журнала: 2025, Номер unknown, С. 119050 - 119050

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1
Inverse design of nanophotonic devices enabled by optimization algorithms and deep learning: recent achievements and future prospects DOI Creative Commons
Junhyeong Kim,

Jae‐Yong Kim,

Jungmin Kim

и другие.

Nanophotonics, Год журнала: 2025, Номер unknown

Опубликована: Янв. 27, 2025

Abstract Nanophotonics, which explores significant light–matter interactions at the nanoscale, has facilitated advancements across numerous research fields. A key objective in this area is design of ultra-compact, high-performance nanophotonic devices to pave way for next-generation photonics. While conventional brute-force, intuition-based forward methods have produced successful solutions over past several decades, recent developments optimization and artificial intelligence offer new potential expand these capabilities. In review, we delve into latest progress inverse devices, where AI are leveraged automate enhance process. We discuss representative commonly employed design, including various meta-heuristic algorithms such as trajectory-based, evolutionary, swarm-based approaches, addition adjoint-based optimization. Furthermore, explore state-of-the-art deep learning techniques, involving discriminative models, generative reinforcement learning. also introduce categorize notable inverse-designed their respective methodologies. Additionally, summarize open-source tools commercial foundries. Finally, provide our perspectives on current challenges while offering insights future directions that could further advance rapidly evolving field.

Язык: Английский

Процитировано

0
Inverse design of a petal-shaped honeycomb with zero Poisson’s ratio and bi-directional tunable mechanical properties DOI

Ze-Yu Chang,

Hai‐Tao Liu,

Guangbin Cai

и другие.

Composite Structures, Год журнала: 2025, Номер unknown, С. 118967 - 118967

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Optimization of 3D printed truss meta-structure for structural performance and switchable vibration attenuation DOI
Samuel S. Kim,

Hyunsoo Hong,

Jae-Moon Jeong

и другие.

Composites Part A Applied Science and Manufacturing, Год журнала: 2025, Номер unknown, С. 108845 - 108845

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
High Load-Bearing Quasi-Zero Stiffness Metamaterials for Vibration Isolation DOI

Guangzhi Pan,

Xiaolei Jiao,

Chumin Lin

и другие.

International Journal of Mechanical Sciences, Год журнала: 2025, Номер unknown, С. 110225 - 110225

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Enhanced low-frequency band gap of nonlinear quasi-zero-stiffness metamaterial by lowering stiffness coupling DOI

Qida Lin,

Jiaxi Zhou, Kai Wang

и другие.

Nonlinear Dynamics, Год журнала: 2024, Номер unknown

Опубликована: Окт. 12, 2024

Язык: Английский

Процитировано

3
Monodomain Liquid‐Crystal Elastomer Lattices for Broad Strain‐Rate Mechanical Damping DOI
A. Bischoff,

Carter Bawcutt,

M. Z. Sorkin

и другие.

Advanced Engineering Materials, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 7, 2024

Designing structures that effectively dissipate energy across a broad range of mechanical loading rates, including those from compression, shock, and vibration, poses significant engineering challenge. In this study, liquid‐crystal elastomers (LCEs), which possess anisotropic properties due to the alignment their polymer backbone, are explored. As result, LCEs exhibit soft elastic response under loading, making them ideal for dissipation. Advances in additive manufacturing (AM) enable simple fabrication foamlike dissipative with complex lattice geometries. Herein, direct ink write 3D printing, an extrusion AM method, is used fabricate aligned, monodomain LCE strain‐rate damping. work, it shown these can strain quasi‐static environments, comparable traditional elastomeric lattices, provide improved damping high drop testing elasticity. Additionally, dynamic lattices enhance at structural natural frequencies high‐frequency attenuation. findings, promising method presented fabricating devices rates.

Язык: Английский

Процитировано

1
Reaching a desirable metastructure for passive vibration attenuation by using a machine learning approach DOI
Ivana Kovačić, Željko Kanović, Vladimir Rajs

и другие.

Nonlinear Dynamics, Год журнала: 2024, Номер 112(23), С. 20661 - 20676

Опубликована: Авг. 26, 2024

Язык: Английский

Процитировано

0