Deep learning-driven Mie scattering prediction method for radially varying spherical particles-Reference-Cited by-同舟云学术

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Deep learning-driven Mie scattering prediction method for radially varying spherical particles

Published:2024-10 Issue: Volume:177 Page:111170
ISSN:0030-3992
Container-title:Optics & Laser Technology
language:en
Short-container-title:Optics & Laser Technology

Author:

Wang Guoyan^ORCID,Li Zhongxiang^ORCID,Hu Chun,Yang Guanyu,Yang Xiaojun,Liu Bei

Publisher

Elsevier BV

Reference62 articles.

1. Scattering of aerosol by a high-order Bessel vortex beam for multimedia information transmission in atmosphere;Qu;Multimedia Tools Appl.,2020

2. Research on microphysical properties of a variety of nonspherical aerosol particles;Liu;Int. Arch. Photogr. Remote Sens. Spat. Inf. Sci.,2019

3. Light absorption and scattering by aggregates: Application to black carbon and snow grains;Liou;J. Quant. Spectrosc. Radiat. Transfer,2011

4. Nonsphericity of aerosol particles and their contribution to radiative forcing;von Hoyningen-Huene;J. Quant. Spectrosc. Radiat. Transfer,1997

5. Accurate measurement of the optical properties of single aerosol particles using cavity ring-down spectroscopy;Cotterell;J. Phys. Chem. A,2022

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