{"title":"利用偏最小二乘回归对薄膜材料在多个激光波长上的光传输进行比较分析","authors":"Ahmed Abdelhady A. Khalil , Omnia Hamdy","doi":"10.1016/j.optmat.2025.117566","DOIUrl":null,"url":null,"abstract":"<div><div>Thin-film composites have significance in optoelectronics, photonics, and sensing technologies because of their unique optical properties. This work examines the light transmission behavior of six thin-film materials: Cu, ZnO, Ni, MoS<sub>2</sub>, MoS<sub>2</sub>–SiC, and ITO/MoS<sub>2</sub> under continuous wave (CW) laser irradiation at wavelengths of 405, 532, 670, 830, and 980 nm. The experimental results were analyzed using Partial Least Squares Regression (PLSR) to derive material-specific optical fingerprints and multivariate spectral responses. The PLSR model achieved a root mean squared error (RMSE) of 3305.17 and identified more than 95 % of the variance with five latent components. MoS<sub>2</sub> had the highest transmission at 405 nm, followed by Ni at 532 and 980 nm, and ZnO at 830 nm. Cu continuously had the lowest transmission. These findings provide important insights into the wavelength-dependent behavior of thin films and can help guide material selection and optimization for application in transparent electrodes, optical coatings, photodetectors, and laser-based systems.</div></div>","PeriodicalId":19564,"journal":{"name":"Optical Materials","volume":"169 ","pages":"Article 117566"},"PeriodicalIF":4.2000,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparative analysis of light transmission in thin-film materials across multiple laser wavelengths using partial least squares regression\",\"authors\":\"Ahmed Abdelhady A. Khalil , Omnia Hamdy\",\"doi\":\"10.1016/j.optmat.2025.117566\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Thin-film composites have significance in optoelectronics, photonics, and sensing technologies because of their unique optical properties. This work examines the light transmission behavior of six thin-film materials: Cu, ZnO, Ni, MoS<sub>2</sub>, MoS<sub>2</sub>–SiC, and ITO/MoS<sub>2</sub> under continuous wave (CW) laser irradiation at wavelengths of 405, 532, 670, 830, and 980 nm. The experimental results were analyzed using Partial Least Squares Regression (PLSR) to derive material-specific optical fingerprints and multivariate spectral responses. The PLSR model achieved a root mean squared error (RMSE) of 3305.17 and identified more than 95 % of the variance with five latent components. MoS<sub>2</sub> had the highest transmission at 405 nm, followed by Ni at 532 and 980 nm, and ZnO at 830 nm. Cu continuously had the lowest transmission. These findings provide important insights into the wavelength-dependent behavior of thin films and can help guide material selection and optimization for application in transparent electrodes, optical coatings, photodetectors, and laser-based systems.</div></div>\",\"PeriodicalId\":19564,\"journal\":{\"name\":\"Optical Materials\",\"volume\":\"169 \",\"pages\":\"Article 117566\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2025-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optical Materials\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0925346725009267\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Materials","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0925346725009267","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
Comparative analysis of light transmission in thin-film materials across multiple laser wavelengths using partial least squares regression
Thin-film composites have significance in optoelectronics, photonics, and sensing technologies because of their unique optical properties. This work examines the light transmission behavior of six thin-film materials: Cu, ZnO, Ni, MoS2, MoS2–SiC, and ITO/MoS2 under continuous wave (CW) laser irradiation at wavelengths of 405, 532, 670, 830, and 980 nm. The experimental results were analyzed using Partial Least Squares Regression (PLSR) to derive material-specific optical fingerprints and multivariate spectral responses. The PLSR model achieved a root mean squared error (RMSE) of 3305.17 and identified more than 95 % of the variance with five latent components. MoS2 had the highest transmission at 405 nm, followed by Ni at 532 and 980 nm, and ZnO at 830 nm. Cu continuously had the lowest transmission. These findings provide important insights into the wavelength-dependent behavior of thin films and can help guide material selection and optimization for application in transparent electrodes, optical coatings, photodetectors, and laser-based systems.
期刊介绍:
Optical Materials has an open access mirror journal Optical Materials: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review.
The purpose of Optical Materials is to provide a means of communication and technology transfer between researchers who are interested in materials for potential device applications. The journal publishes original papers and review articles on the design, synthesis, characterisation and applications of optical materials.
OPTICAL MATERIALS focuses on:
• Optical Properties of Material Systems;
• The Materials Aspects of Optical Phenomena;
• The Materials Aspects of Devices and Applications.
Authors can submit separate research elements describing their data to Data in Brief and methods to Methods X.