relation: https://khub.utp.edu.my/scholars/16616/
title: A new approach to understanding the interaction effect of salt and plasticizer on solid polymer electrolytes using statistical model and artificial intelligence algorithm
creator: Adam, A.A.
creator: Soleimani, H.
creator: Shukur, M.F.B.A.
creator: Dennis, J.O.
creator: Abdulkadir, B.A.
creator: Hassan, Y.M.
creator: Yusuf, J.Y.
creator: Shamsuri, N.A.B.
description: Nowadays, solid polymer electrolytes (SPEs) based on natural biopolymeric macromolecules such as cellulose and its derivatives have demonstrated great potential over their synthetic counterparts due to their natural abundance, low cost of production, biocompatibility, and biodegradability. However, the low ionic conductivity of these polymers has been a serious challenge and needs to be optimized to meet demands for practical applications. Herein, the response surface methodology (RSM) and artificial neural network (ANN) were employed to predict and optimize the performance of pectin/methylcellulose (PC/MC) based SPE complexed with potassium phosphate (K3PO4) and glycerol. RSM analysis of variance (ANOVA) revealed that the interactive behaviour of both K3PO4 and glycerol, particularly at higher potassium salt content has an enormous influence on ionic conductivity and potential window of the SPE. After numerical optimization, an optimum interaction (�3 � 10�4 Scm�1, 4.19 V) was achieved at 60 wt. and 41.37 wt. of K3PO4 and glycerol respectively. © 2022
publisher: Elsevier B.V.
date: 2022
type: Article
type: PeerReviewed
identifier:   Adam, A.A. and Soleimani, H. and Shukur, M.F.B.A. and Dennis, J.O. and Abdulkadir, B.A. and Hassan, Y.M. and Yusuf, J.Y. and Shamsuri, N.A.B.  (2022) A new approach to understanding the interaction effect of salt and plasticizer on solid polymer electrolytes using statistical model and artificial intelligence algorithm.  Journal of Non-Crystalline Solids, 587.   ISSN 00223093     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128886026&doi=10.1016%2fj.jnoncrysol.2022.121597&partnerID=40&md5=14bdccb0084168baee1db614d57b943e
relation: 10.1016/j.jnoncrysol.2022.121597
identifier: 10.1016/j.jnoncrysol.2022.121597