新しいレーザーセットアップが超高速パルスでメタマテリアル構造をプローブする(New laser setup probes metamaterial structures with ultrafast pulses)

2023-11-15 マサチューセッツ工科大学(MIT)

＜関連情報＞

• https://news.mit.edu/2023/new-laser-setup-probes-metamaterial-structures-ultrafast-pulses-1115
• https://www.nature.com/articles/s41586-023-06652-x

レーザー誘起振動シグネチャーによるメタマテリアルの動的診断 Dynamic diagnosis of metamaterials through laser-induced vibrational signatures

Yun Kai,Somayajulu Dhulipala,Rachel Sun,Jet Lem,Washington DeLima,Thomas Pezeril & Carlos M. Portela
Nature  Published:15 November 2023
DOI:https://doi.org/10.1038/s41586-023-06652-x

Abstract

Mechanical metamaterials at the microscale exhibit exotic static properties owing to their engineered building blocks^1,2,3,4, but their dynamic properties have remained substantially less explored. Their design principles can target frequency-dependent properties^5,6,7 and resilience under high-strain-rate deformation^8,9, making them versatile materials for applications in lightweight impact resistance^10,11,12, acoustic waveguiding^7,13 or vibration damping^14,15. However, accessing dynamic properties at small scales has remained a challenge owing to low-throughput and destructive characterization^8,16,17 or lack of existing testing protocols. Here we demonstrate a high-throughput, non-contact framework that uses MHz-wave-propagation signatures within a metamaterial to non-destructively extract dynamic linear properties, omnidirectional elastic information, damping properties and defect quantification. Using rod-like tessellations of microscopic metamaterials, we report up to 94% direction-dependent and rate-dependent dynamic stiffening at strain rates approaching 10² s⁻¹, as well as damping properties three times higher than their constituent materials. We also show that frequency shifts in the vibrational response allow for characterization of invisible defects within the metamaterials and that selective probing allows for the construction of experimental elastic surfaces, which were previously only possible computationally. Our work provides a route for accelerated data-driven discovery of materials and microdevices for dynamic applications such as protective structures, medical ultrasound or vibration isolation.