Deep Neural Network Modeling of Multiple Oxide/Nitride Deposited Dielectric Films for 3D-NAND Flash
Author:
Affiliation:
1. Department of Electronic Engineering, Myongji University, Yongin 17058, Republic of Korea
2. Plasma Technology Research Center, NFRI, Gunsan 54004, Republic of Korea
Funder
Ministry of Trade, Industry and Energy
Korea Semiconductor Research Consortium
Publisher
The Korean Vacuum Society
Subject
Electrical and Electronic Engineering,Physical and Theoretical Chemistry,Condensed Matter Physics,Materials Science (miscellaneous)
Link
http://pdf.medrang.co.kr/ASCT/2020/029/ASCT029-06-14.pdf
Reference19 articles.
1. J. Lee, J. Jang, J. Lim, Y. G. Shin, K. Lee, and E. Jung, Proceedings of the IEEE International Electron Devices Meeting (San Francisco, CA, USA, 2016). p. 11.2.1-11.2.4.
2. In-Situ Monitoring of Multiple Oxide/Nitride Dielectric Stack PECVD Deposition Process
3. Thin film thickness measurement: A comparison of various techniques
4. K. H. Kim, J. Korean Solar Energy 39, 11 (2019).
5. Spectroscopic ellipsometry: a historical overview
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