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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 36, Number 1(1) (2024)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 17-23
S&M3494 Research Paper of Special Issue https://doi.org/10.18494/SAM4506 Published: January 24, 2024 Machine Learning Techniques Applied to Development of Flexible Electronic Antireflective Film [PDF] Shih-Hung Lin, Yuan-Ting Wang, and Yao-Chin Wang (Received May 6, 2023; Accepted October 25, 2023) Keywords: flexible substrates, antireflection, index matching, machine learning
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.
Corresponding author: Yao-Chin Wang  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Shih-Hung Lin, Yuan-Ting Wang, and Yao-Chin Wang, Machine Learning Techniques Applied to Development of Flexible Electronic Antireflective Film, Sens. Mater., Vol. 36, No. 1, 2024, p. 17-23. |
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