Artificial neural network and response surface methodology modeling in ionic conductivity predictions of phthaloylchitosan-based gel polymer electrolyte

Artificial neural network and response surface methodology modeling in ionic conductivity predictions of phthaloylchitosan-based gel polymer electrolyte

A gel polymer electrolyte system based on phthaloylchitosan was prepared. The effects of process variables, such as lithium iodide, caesium iodide, and 1-butyl-3-methylimidazolium iodide were investigated using a distance-based ternary mixture experimental design. A comparative approach was made bet...

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Bibliographic Details
Main Authors: Azzahari, A.D., Yusuf, S.N.F., Selvanathan, V., Yahya, R.
Format: Article
Published: MDPI 2016
Subjects:
Q Science (General)
QD Chemistry
Online Access:http://eprints.um.edu.my/18421/
https://doi.org/10.3390/polym8020022
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Institution: Universiti Malaya

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http://eprints.um.edu.my/18421/
https://doi.org/10.3390/polym8020022

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