Determination of bandgap of period 3, 4, and 5 transition metal dopants on zinc oxide using an artificial neural network based approach

• Main Authors: Saeed, Muhammad Haris, Abed Mohammed, Mazin, Kosar, Naveen, Hassan, Sadaf-ul, Nadeem, Sohail, Abd Ghani, Mohd Khanapi, Abdulkareem, Karrar Hameed
• Format: Article
• Language: English
• Published: Elsevier B.V. 2023
• Online Access: http://eprints.utem.edu.my/id/eprint/27752/1/0071712022024234733.pdf; http://eprints.utem.edu.my/id/eprint/27752/; https://www.sciencedirect.com/science/article/pii/S0169743923002332; https://doi.org/10.1016/j.chemolab.2023.104983
• Institution: Universiti Teknikal Malaysia Melaka

Artificial intelligence (AI) and machine learning (ML) have rapidly emerged as valuable tools for chemical research, offering new ways to analyze and understand complex chemical systems. This research article investigates the use of adaptive neuro-fuzzy inference system (ANFIS) and multi-layer perce...