Modeling optical gap of cupric oxide nanomaterial semiconductor using hybrid intelligent method
Author:
Affiliation:
1. Computer Information System Department, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
Publisher
Informa UK Limited
Subject
General Engineering,General Chemical Engineering,General Computer Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/23311916.2023.2283287
Reference72 articles.
1. Modeling Superconducting Critical Temperature of 122-Iron-Based Pnictide Intermetallic Superconductor Using a Hybrid Intelligent Computational Method
2. Facile synthesis and characterization of undoped, Mn doped and Nd co-doped CuO nanoparticles for optoelectronic and magnetic applications
3. Engineering the Energy Gap of Cupric Oxide Nanomaterial Using Extreme Learning Machine and Stepwise Regression Algorithms
4. Tailoring of nanostructures: Al doped CuO synthesized by composite-hydroxide-mediated approach
5. Towards a definition of inorganic nanoparticles from an environmental, health and safety perspective
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