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Prediction of degree of crystallinity for the LTA zeolite using artificial neural networks Cover

Prediction of degree of crystallinity for the LTA zeolite using artificial neural networks

Materials Science-Poland
Volume 35 (2017): Issue 3 (October 2017)
By: Shahram Ghanbari and  Behzad Vaferi  
Open Access
|Oct 2017

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DOI: https://doi.org/10.1515/msp-2017-0044 | Journal eISSN: 2083-134X | Journal ISSN: 2083-1331
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Language: English
Page range: 486 - 495
Submitted on: Oct 8, 2016
|
Accepted on: Feb 24, 2017
|
Published on: Oct 31, 2017
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
LTA zeolite,
relative crystallinity,
artificial intelligence approach,
optimum topology
Related subjects:
Materials sciences,
Materials sciences, other,
Nanomaterials,
Functional and smart materials,
Materials characterization and properties

© 2017 Shahram Ghanbari, Behzad Vaferi, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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