Artificial Neural Network and Response Surface Methodology Modeling in Ionic Conductivity Predictions of Phthaloylchitosan-Based Gel Polymer Electrolyte-Reference-Cited by-同舟云学术

Artificial Neural Network and Response Surface Methodology Modeling in Ionic Conductivity Predictions of Phthaloylchitosan-Based Gel Polymer Electrolyte

Published:2016-01-29 Issue:2 Volume:8 Page:22
ISSN:2073-4360
Container-title:Polymers
language:en
Short-container-title:Polymers

Author:

Azzahari Ahmad,Yusuf Siti,Selvanathan Vidhya,Yahya Rosiyah^ORCID

Funder

University of Malaya

Publisher

MDPI AG

Subject

Polymers and Plastics,General Chemistry

Link

http://www.mdpi.com/2073-4360/8/2/22/pdf

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3. Natural polymer-based electrolytes for electrochemical devices: a review

4. Water Soluble Polymers as Proton Exchange Membranes for Fuel Cells

5. Hierarchical nanostructure CuO with peach kernel-like morphology as anode material for lithium-ion batteries

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