Tailoring the Energy Harvesting Capacity of Zinc Selenide Semiconductor Nanomaterial through Optical Band Gap Modeling Using Genetically Optimized Intelligent Method

Tailoring the Energy Harvesting Capacity of Zinc Selenide Semiconductor Nanomaterial through Optical Band Gap Modeling Using Genetically Optimized Intelligent Method

Zinc selenide (ZnSe) nanomaterial is a binary semiconducting material with unique features, such as high chemical stability, high photosensitivity, low cost, great excitation binding energy, non-toxicity, and a tunable direct wide band gap. These characteristics contribute significantly to its wide...

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Bibliographic Details
Main Authors: Olusayo Olubosede, Mohd Amiruddin Abd Rahman, Abdullah Alqahtani, Miloud Souiyah, Mouftahou B. Latif, Wasiu Adeyemi Oke, Nahier Aldhafferi, Taoreed O. Owolabi
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Crystals
Subjects:
zinc selenide
support vector regression
lattice parameter
genetic algorithm
nano-particle size
energy band gap
Online Access:https://www.mdpi.com/2073-4352/12/1/36

Internet

https://www.mdpi.com/2073-4352/12/1/36

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