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 |
Permalink -
https://openresearch.lsbu.ac.uk/item/8z486
Download files
271
total views144
total downloads12
views this month3
downloads this month
Export as
Related outputs
Deep learning analysis of plasma emissions: A potential system for monitoring methane and hydrogen in the pyrolysis processes
Salimian, A. and Grisan, E. (2024). Deep learning analysis of plasma emissions: A potential system for monitoring methane and hydrogen in the pyrolysis processes. International Journal of Hydrogen Energy. 58, pp. 1030-1043. https://doi.org/10.1016/j.ijhydene.2024.01.251Graphene-like Dispersion and Strong Optical Absorption in Two-Dimensional RP-type Sr3Ti2S7 Perovskite
Liu, H., Gao, R., Yang, J., Banthia, R.D., Yang, F., Wang, T., Upadhyaya, H. and Jain, S. (2023). Graphene-like Dispersion and Strong Optical Absorption in Two-Dimensional RP-type Sr3Ti2S7 Perovskite. Crystal Growth & Design. 23 (12), pp. 8575-8583. https://doi.org/10.1021/acs.cgd.3c00608Quantitative hydrogen and methane gas sensing via implementing AI based spectral analysis of plasma discharge
Salimian, A. (2023). Quantitative hydrogen and methane gas sensing via implementing AI based spectral analysis of plasma discharge. International Journal of Hydrogen Energy. 50 (Part A), pp. 1157-1173. https://doi.org/10.1016/j.ijhydene.2023.10.010Development of a Transparent Thermal Reflective Thin Film Coating for Accurate Separation of Food-Grade Plastics in Recycling Process via AI-Based Thermal Image Processing
Salimian, A. and Onwukwe, U. (2023). Development of a Transparent Thermal Reflective Thin Film Coating for Accurate Separation of Food-Grade Plastics in Recycling Process via AI-Based Thermal Image Processing. Coatings. 13 (8), p. 1332. https://doi.org/coatings13081332Tin Sulfide (SnS) Films Deposited by an Electric Field-Assisted Continuous Spray Pyrolysis Technique with Application as Counter Electrodes in Dye-Sensitized Solar Cells
Mohammad, T., Alam, F., Sadhanala, A., Upadhyaya, H.M. and Dutta, Viresh (2022). Tin Sulfide (SnS) Films Deposited by an Electric Field-Assisted Continuous Spray Pyrolysis Technique with Application as Counter Electrodes in Dye-Sensitized Solar Cells. ACS Omega. 7 (44), p. 39690–39696. https://doi.org/10.1021/acsomega.2c03454Implementing Supervised and Unsupervised Deep-Learning Methods to Predict Sputtering Plasma Features, a Step toward Digitizing Sputter Deposition of Thin Films
Salimian, A., Pardo Sanchez, C., Hasnath, M., Haine, E. and Upadhyaya, H. (2022). Implementing Supervised and Unsupervised Deep-Learning Methods to Predict Sputtering Plasma Features, a Step toward Digitizing Sputter Deposition of Thin Films. Coatings. 12 (7), p. 953. https://doi.org/10.3390/coatings12070953Thermal spray coatings for electromagnetic wave absorption and interference shielding: a review and future challenges
Faisal, N.H., Ahmed, R., Sellami, N., Prathuru, A., Njuguna, J., Venturi, F., Hussain, T., Nezhad, H.Y., Kumar, N., Goel, S., Upadhyaya, H., Joshi, S., Muhammad-Sukki, F., Prabhu, R., Mallick, T., Whittow, W. and Kamnis, S. (2022). Thermal spray coatings for electromagnetic wave absorption and interference shielding: a review and future challenges. Advanced Engineering Materials. https://doi.org/10.1002/adem.202200171A Bibliometric Study on Biomimetic and Bioinspired Membranes for Water Filtration
Goel, G., Hélix-Nielsen, C., Upadhyaya, H. and Goel, S. (2021). A Bibliometric Study on Biomimetic and Bioinspired Membranes for Water Filtration . npj Clean Water. 4. https://doi.org/10.1038/s41545-021-00131-4Large scale manufacturing route to metamaterial coatings using thermal spray techniques and their response to solar radiation
Faisal, N.H., Sellami, N., Venturi, F., Hussain, T., Mallick, T., Muhammad-Sukki, F., Bishop, A., Upadhyaya, H., Kumar, N. and Goel, S. (2021). Large scale manufacturing route to metamaterial coatings using thermal spray techniques and their response to solar radiation. Emergent Materials. https://doi.org/10.1007/s42247-021-00252-zAtomic scale friction studies on single crystal GaAs using AFM and molecular dynamics simulation
Fan, P., Goel, S., Luo, X. and Upadhyaya, H. (2021). Atomic scale friction studies on single crystal GaAs using AFM and molecular dynamics simulation. Nanomanufacturing and Metrology. https://doi.org/10.1007/s41871-021-00109-3Hypothesis on the Influence of the Magnetic Behaviour of Hydrogen Doped Zinc Oxide during Its Plasma Sputtering Process
Salimian, A., Hasnath, A., Aminishahsavarani, A. and Upadhyaya, H. (2021). Hypothesis on the Influence of the Magnetic Behaviour of Hydrogen Doped Zinc Oxide during Its Plasma Sputtering Process. Coatings. 11 (2), p. e222. https://doi.org/10.3390/coatings11020222Horizons of modern molecular dynamics simulation in digitalised solid freeform fabrication with advanced materials
Goel, S., Knaggs, M., Goel, G., Zhou, X. W., Upadhyaya, H.M., Thakur, V. F., Kumar, V., Bizarri, G., Tiwari, A., Murphy, A., Stukowskii, A. and Matthewsj, A. (2020). Horizons of modern molecular dynamics simulation in digitalised solid freeform fabrication with advanced materials. Materials Today Chemistry. 18, p. 100356. https://doi.org/10.1016/j.mtchem.2020.100356Phase evolution, morphological, optical and electrical properties of femtosecond pulsed laser deposited TiO2 thin films
Kumi-Barimah, E, Penhale-Jones, R, Salimian, A, Upadhyaya, H, Hasnath, A. and Jose, G (2020). Phase evolution, morphological, optical and electrical properties of femtosecond pulsed laser deposited TiO2 thin films. Scientific Reports. 10 (1). https://doi.org/10.1038/s41598-020-67367-xResilient and Agile Engineering Solutions to Address Societal Challenges like Coronavirus Pandemic
Goel, S., Hawi, S., Goel, G., Thakur, V.K., Pearce, O., Hoskins, C., Hussain, T., Agrawal, A., Upadhyaya, H., Cross, G. and Barber, A. (2020). Resilient and Agile Engineering Solutions to Address Societal Challenges like Coronavirus Pandemic. Materials Today Chemistry. https://doi.org/10.1016/j.mtchem.2020.100300Synthesis of SnSe quantum dots by successive ionic layer adsorption and reaction (SILAR) method for efficient solar cells applications
Kishore Kumar, D, Loskot, J, Kříž, J, Bennett, N, Upadhyaya, HM, Sadhu, V, Venkata Reddy, C and Reddy, KR (2020). Synthesis of SnSe quantum dots by successive ionic layer adsorption and reaction (SILAR) method for efficient solar cells applications. Solar Energy. 199, pp. 570-574. https://doi.org/10.1016/j.solener.2020.02.050Highly Conductive Zinc Oxide Based Transparent Conductive Oxide Films Prepared using RF Plasma Sputtering Under Reducing Atmosphere
Salimian, A., Upadhyaya, H., Hasnath, A., Aminishahsavarani, A., Pardo Sanchez, C., Anguilano, L., Uchechukwu O. and Sanchez, C (2020). Highly Conductive Zinc Oxide Based Transparent Conductive Oxide Films Prepared using RF Plasma Sputtering Under Reducing Atmosphere. Coatings. 10 (5), p. 472. https://doi.org/10.3390/coatings10050472Optical analysis of RF sputtering plasma through colour characterization
Salimian, A., Haghpanahan, R., Hasnath, A. and Upadhyaya, H. (2019). Optical analysis of RF sputtering plasma through colour characterization. Coatings. 9 (5), pp. 315-315. https://doi.org/10.3390/coatings9050315