Prediction of nanostructure of SnO2 properties using artificial neural networks / Khadijah Mohd Suhami ... [et al.]

Tin(IV) oxide, SnO2 nanostructures such as nanorods, nanoflowers, nanosheets, nanocubes have been receiving significant interest in various fields due to their inherent properties. The types of shape and size of nanorods vary based on the applications. A fine tuning of the parameters ( e.g concentra...

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Bibliographic Details
Main Authors: Mohd Suhami, Khadijah, Inderan, Vicinisvarri, Senin, Syahrul Fithry, Lee, Hooi Ling
Format: Conference or Workshop Item
Language:English
Published: 2021
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/56910/1/56910.pdf
https://ir.uitm.edu.my/id/eprint/56910/
https://ispike2021.uitm.edu.my/
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