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Color Simulation of Multilayered Thin Films Using Python.

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Bibliographic Details
Title:	Color Simulation of Multilayered Thin Films Using Python.
Authors:	Lee, Dongik, Lee, Seunghun
Source:	Applied Sciences (2076-3417); May2025, Vol. 15 Issue 9, p4814, 15p
Subject Terms:	MULTILAYERED thin films, RADIOFREQUENCY sputtering, ZINC oxide films, SUBSTRATES (Materials science), THIN films
Abstract:	Physical insight into a material can be first gained by its color, as the reflectance spectrum of an object reflects its microstructure and complex refractive indices. Here, we present a comprehensive overview of electrodynamics and optics related to reflectance spectra and color. We provide an open-source Python code for simulating reflectance spectra and extracting color values. The validity and applicability of the code are demonstrated through a comparative analysis with both the literature and experimental data. For SnO2 and ZnO thin films deposited on SiO2/Si substrates using rf sputtering, the Python code and simulation predict color variations with the film thickness and effectively capture their angular dependence. This code will help in understanding and making use of color-related phenomena. It can be further used and developed for various purposes, particularly machine learning, which requires extensive spectral and color data for model training. [ABSTRACT FROM AUTHOR]
	Copyright of Applied Sciences (2076-3417) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database:	Complementary Index

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