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. |
|---|---|
| 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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