Artificial Neural Networks to Predict Sheet Resistance of Indium-Doped Zinc Oxide Thin Films Deposited via Plasma Deposition
Journal article
Salimian, A., Aminishahsavarani, A. and Upadhyaya, H. (2022). Artificial Neural Networks to Predict Sheet Resistance of Indium-Doped Zinc Oxide Thin Films Deposited via Plasma Deposition. Coatings. 12 (2), p. 225. https://doi.org/10.3390/coatings12020225
Authors | Salimian, A., Aminishahsavarani, A. and Upadhyaya, H. |
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Abstract | We implemented deep learning models to examine the accuracy of predicting a single |
Keywords | deep learning; sputtering; TCO; plasma |
Year | 2022 |
Journal | Coatings |
Journal citation | 12 (2), p. 225 |
Publisher | MDPI |
Digital Object Identifier (DOI) | https://doi.org/10.3390/coatings12020225 |
Web address (URL) | https://www.mdpi.com/2079-6412/12/2/225 |
Publication dates | |
09 Feb 2022 | |
Publication process dates | |
Accepted | 06 Feb 2022 |
Deposited | 14 Feb 2022 |
Publisher's version | License File Access Level Open |
Accepted author manuscript | License File description PDF File Access Level Controlled |
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https://openresearch.lsbu.ac.uk/item/8z486
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