Deep Learning and Machine Learning Based Highly Accurate Prediction of Reflection for Multi Layers Anti-Reflection Coatings

Author:

OKTAY Semih1,DURU İremnur1,BAKIR Halit1,TABARU Timuçin Emre1

Affiliation:

1. Sivas University of Science and Technology

Abstract

Abstract

Optical filters are specialized structures designed to selectively transmit specific regions of the optical spectrum while blocking others. These filters achieve their desired properties using a variety of materials and methods. This work focuses on designing and optimizing multilayer optical filters utilizing Machine Learning (ML) and Deep Learning (DL) techniques. A dataset is created from Finite Difference Time Domain (FDTD) simulations of Germanium (Ge) substrates coated with alumina (Al2O3) or silica (SiO2). The dataset consists of bands 3–5, typical for medium-wave infrared (MWIR) and long-wave infrared (LWIR) bands, and includes reflectance values for wavelengths varying between 3 µm and 12 µm. Six ML algorithms and a DL model, including artificial neural networks (ANN) and convolutional neural networks (CNN), are evaluated to determine the most effective approach for predicting reflectance properties. Bayesian optimization is used to fine-tune the hyperparameters of the DL model, achieving optimum performance. The results show that ML models, particularly decision tree, random forest, and bagging methods, outperform the DL model in predicting reflectance values and provide a valuable reference for designing and fabricating optical thin-film filters.

Publisher

Springer Science and Business Media LLC

Reference49 articles.

1. Macleod, H.A., Macleod, H.A.: Thin-film optical filters, CRC press, (2010)

2. Design of multilayer optical thin-films based on light scattering properties and using deep neural networks;Fouchier M;Opt. Express,2021

3. Begou, T., Krol, H., Stojcevski, D., Lemarchand, F., Lequime, M., Grezes-Besset, C., Lumeau, J.: Complex optical interference filter with stress compensation, in: Optical Systems Design 2015: Advances in Optical Thin Films V, SPIE, : pp. 152–161. (2015)

4. Modern computational methods for optical thin film systems;Dobrowolski JA;Thin Solid Films,1976

5. Broadband antireflection film with moth-eye-like structure for flexible display applications;Tan G;Optica,2017

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3