Article Versions Notes

Alhussan AA, Gaafar MS, Alharbi M, Marzouk SY, Alharbi S, ElRashidy H, Mabrouk MS, AlEisa HN, Samee NA. Prediction of the Judd–Ofelt Parameters of Dy³⁺-Doped Lead Borosilicate Using Artificial Neural Network. Electronics. 2022; 11(7):1045. https://doi.org/10.3390/electronics11071045

Alhussan, Amel A., Mohamed S. Gaafar, Mafawez Alharbi, Samir Y. Marzouk, Sayer Alharbi, Hussain ElRashidy, Mai S. Mabrouk, Hussah N. AlEisa, and Nagwan Abdel Samee. 2022. "Prediction of the Judd–Ofelt Parameters of Dy³⁺-Doped Lead Borosilicate Using Artificial Neural Network" Electronics 11, no. 7: 1045. https://doi.org/10.3390/electronics11071045

Alhussan, A. A., Gaafar, M. S., Alharbi, M., Marzouk, S. Y., Alharbi, S., ElRashidy, H., Mabrouk, M. S., AlEisa, H. N., & Samee, N. A. (2022). Prediction of the Judd–Ofelt Parameters of Dy³⁺-Doped Lead Borosilicate Using Artificial Neural Network. Electronics, 11(7), 1045. https://doi.org/10.3390/electronics11071045