A deep learning approach based on a data-driven tool for classification and prediction of thermoelastic wave’s band structures for phononic crystals-Reference-Cited by-同舟云学术

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A deep learning approach based on a data-driven tool for classification and prediction of thermoelastic wave’s band structures for phononic crystals

Published:2021-11-22 Issue: Volume: Page:1-14
ISSN:1537-6494
Container-title:Mechanics of Advanced Materials and Structures
language:en
Short-container-title:Mechanics of Advanced Materials and Structures

Author:

Javadi Shirin¹,Maghami Ali¹^ORCID,Hosseini Seyed Mahmoud¹^ORCID

Affiliation:

1. Industrial Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science,General Mathematics,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15376494.2021.1983088

Reference47 articles.

1. Micro-/Nanostructured Mechanical Metamaterials

2. Acoustic band structure of periodic elastic composites

3. Manipulation of the guided wave propagation in multilayered phononic plates by introducing interface delaminations

4. Acoustic flatbands in phononic crystal defect lattices

5. Elastic wave propagation, scattering and localization in layered phononic crystals with arrays of strip-like cracks

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