A Physics-informed and data-driven deep learning approach for wave propagation and its scattering characteristics-Reference-Cited by-同舟云学术

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A Physics-informed and data-driven deep learning approach for wave propagation and its scattering characteristics

Published:2022-04-09 Issue: Volume: Page:
ISSN:0177-0667
Container-title:Engineering with Computers
language:en
Short-container-title:Engineering with Computers

Author:

Lee Soo Young,Park Choon-Su,Park Keonhyeok,Lee Hyung Jin,Lee Seungchul^ORCID

Funder

Ministry of Trade, Industry and Energy

Korea Research Institute of Standards and Science

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,General Engineering,Modeling and Simulation,Software

Link

https://link.springer.com/content/pdf/10.1007/s00366-022-01640-7.pdf

Reference33 articles.

1. Kaina N, Lemoult F, Fink M, Lerosey G (2015) Negative refractive index and acoustic superlens from multiple scattering in single negative metamaterials. Nature 525(7567):77–81

2. Cai X, Wang L, Zhao Z, Zhao A, Zhang X, Wu T, Chen H (2016) The mechanical and acoustic properties of two-dimensional pentamode metamaterials with different structural parameters. Appl Phys Lett 109(13):131904

3. Cummer SA, Christensen J, Alù A (2016) Controlling sound with acoustic metamaterials. Nat Rev Mater 1(3):1–13

4. Bertolotti J, Van Putten EG, Blum C, Lagendijk A, Vos WL, Mosk AP (2012) Non-invasive imaging through opaque scattering layers. Nature 491(7423):232–234

5. Yeh H, Mehra R, Ren Z, Antani L, Manocha D, Lin M (2013) Wave-ray coupling for interactive sound propagation in large complex scenes. ACM Trans Graph 32(6):1–11

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