镜面反射
透射率
光学
薄膜
材料科学
散射
光散射
人工神经网络
限制
光电子学
计算机科学
纳米技术
人工智能
物理
工程类
机械工程
作者
Marin Fouchier,Myriam Zerrad,Michel Lequime,Claude Amra
出处
期刊:Optics Express
[The Optical Society]
日期:2021-09-09
卷期号:29 (20): 32627-32627
被引量:11
摘要
Despite limiting the performance of multilayer optical thin-films, light scattering properties are not as yet controllable by current design methods. These methods usually consider only specular properties: transmittance and reflectance. Among other techniques, design of thin-film components assisted by deep neural networks have seen growing interest over the last few years. This paper presents an implementation of a deep neural network model for light scattering design and proposes an optimization process for complex multilayer thin-film components to comply with expectations on both specular and scattering spectral responses.
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