Modeling and optimization of ITO/Al/ITO multilayer films characteristics using neural network and genetic algorithm-Reference-Cited by-同舟云学术

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Modeling and optimization of ITO/Al/ITO multilayer films characteristics using neural network and genetic algorithm

Published:2012-08 Issue:10 Volume:39 Page:8885-8889
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Cho Edward Namkyu,Moon Pyung,Kim Chang Eun,Yun Ilgu

Funder

a research project of LG Display

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference15 articles.

1. Gallium-doped zinc oxide films as transparent electrodes for organic solar cell applications;Bhosle;Journal of Applied Physics,2007

2. New figure of merit for transparent conductors;Haacke;Journal of Applied Physics,1976

3. Band-gap widening in heavily Sn-doped In2O3;Hamberg;Physical Review B,1984

4. Using neural network process models to perform PECVD silicon dioxide recipe synthesis via genetic algorithms;Han;IEEE Transactions on Semiconductor Manufacturing,1997

5. Dependence of the electrical and optical behaviour of ITO-silver-ITO multilayers on the silver properties;Klöppel;Thin Solid Films,2000

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2. Surface free energy analysis of ITO/Au/ITO multilayer thin films on polycarbonate substrate by apparent contact angle measurements;Applied Surface Science;2020-11

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4. The effects of post heat treatment on ITO/AgAl/ITO/p-Si multilayer films;Journal of Physics: Conference Series;2020-05-01

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