Prediction of Surface Roughness as a Function of Temperature for SiO<sub>2</sub> Thin-Film in PECVD Process
An analytical model to predict the surface roughness for the plasma-enhanced chemical vapor deposition (PECVD) process over a large range of temperature values is still nonexistent. By using an existing prediction model, the surface roughness can directly be calculated instead of repeating the exper...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-02-01
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Series: | Micromachines |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-666X/13/2/314 |