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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| Main Authors: | , , , |
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| Format: | Book |
| Published: |
2021.
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Internet
Link Metadata3rd Floor Main Library
| Call Number: |
A1234.567 |
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| Copy 1 | Available |