Intelligent on-demand design of phononic metamaterials

Intelligent on-demand design of phononic metamaterials

With the growing interest in the field of artificial materials, more advanced and sophisticated functionalities are required from phononic crystals and acoustic metamaterials. This implies a high computational effort and cost, and still the efficiency of the designs may be not sufficient. With the h...

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Bibliographic Details
Main Authors: Jin Yabin, He Liangshu, Wen Zhihui, Mortazavi Bohayra, Guo Hongwei, Torrent Daniel, Djafari-Rouhani Bahram, Rabczuk Timon, Zhuang Xiaoying, Li Yan
Format: Article
Language:English
Published: De Gruyter 2022-01-01
Series:Nanophotonics
Subjects:
2d materials
hierarchical structure
inverse design
machine learning
metamaterials
phononic crystals
Online Access:https://doi.org/10.1515/nanoph-2021-0639

Internet

https://doi.org/10.1515/nanoph-2021-0639

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