Design method and machine learning application of acoustic holographic computational metamaterials-Reference-Cited by-同舟云学术

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Design method and machine learning application of acoustic holographic computational metamaterials

Published:2021-11-23 Issue: Volume: Page:
ISSN:1674-7321
Container-title:Science China Technological Sciences
language:en
Short-container-title:Sci. China Technol. Sci.

Author:

Lv ZengYao,Li JianQing,Hou ZeWei,Ding YuanShuai,Xu WangDong,Pei YongMao

Publisher

Springer Science and Business Media LLC

Subject

General Engineering,General Materials Science

Link

https://link.springer.com/content/pdf/10.1007/s11431-021-1869-3.pdf

Reference27 articles.

1. Ilovitsh T, Ilovitsh A, Foiret J, et al. Enhanced microbubble contrast agent oscillation following 250 kHz insonation. Sci Rep, 2018, 8: 16347

2. Aubry J F, Tanter M, Pernot M, et al. Experimental demonstration of noninvasive transskull adaptive focusing based on prior computed tomography scans. J Acoust Soc Am, 2003, 113: 84–93

3. Marzo A, Drinkwater B W. Holographic acoustic tweezers. Proc Natl Acad Sci USA, 2019, 116: 84–89

4. Inoue S, Mogami S, Ichiyama T, et al. Acoustical boundary hologram for macroscopic rigid-body levitation. J Acoust Soc Am, 2019, 145: 328–337

5. Shaw A, Khokhlova V, Bobkova S, et al. Calibration of HIFU intensity fields measured using an infra-red camera. In: Advanced Metrology for Ultrasound in Medicine (AMUM 2010). Teddington, 2010

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