An inverse design paradigm of multi-functional elastic metasurface via data-driven machine learning

An inverse design paradigm of multi-functional elastic metasurface via data-driven machine learning

Elastic metasurfaces have become one of the most promising platforms for manipulating mechanical wavefronts with the striking feature of ultra-thin geometry. The conventional design of mechanical metasurfaces significantly relies on numerical, trial-and-error methods to identify structural parameter...

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Bibliographic Details
Main Authors: Zhou, Weijian, Wang, Shuoyuan, Wu, Qian, Xu, Xianchen, Huang, Xinjing, Huang, Guoliang, Liu, Yang, Fan, Zheng
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Mechanical engineering
Acoustic Metasurface
Inverse Design
Online Access:https://hdl.handle.net/10356/169420

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