Machine Learning Techniques Applied to Development of Flexible Electronic Antireflective Film

In this study, we aim to optimize the process for developing antireflective and refractive-index-matching films on flexible substrates. The development of these films is crucial in light of the increasing demand in the market for flexible electronics, which are poised to be the next emerging technol...

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Bibliographic Details
Published inSensors and materials Vol. 36; no. 1; p. 17
Main Authors Lin, Shih-Hung, Wang, Yuan-Ting, Wang, Yao-Chin
Format Journal Article
LanguageEnglish
Published Tokyo MYU Scientific Publishing Division 01.01.2024
Subjects
Antireflection coatings
Flat panel displays
Flexible components
Machine learning
New technology
Physical vapor deposition
Substrates
Thin films
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Summary:In this study, we aim to optimize the process for developing antireflective and refractive-index-matching films on flexible substrates. The development of these films is crucial in light of the increasing demand in the market for flexible electronics, which are poised to be the next emerging technology and application after semiconductors and flat panel displays. Our research involves the production of these films by physical vapor deposition and sputtering techniques, which can also be applied to various optical thin films. The effectiveness of our coating process has been verified and refined on the basis of feedback. The results of this study are applicable to related industrial technologies and will contribute to improving industry competitiveness.
ISSN:0914-4935
2435-0869
DOI:10.18494/SAM4506