Suriani Ibrahim - Academia.edu (original) (raw)
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Papers by Suriani Ibrahim
Solid State Ionics, 2011
... solid polymer electrolyte. Mohd Rafie Johan a , Oon Hooi Shy a , Suriani Ibrahim low asterisk... more ... solid polymer electrolyte. Mohd Rafie Johan a , Oon Hooi Shy a , Suriani Ibrahim low asterisk , a , E-mail The Corresponding Author , E-mail The Corresponding Author , Siti Mariah Mohd Yassin a and Tay Yin Hui a. a Advanced ...
Communications in Nonlinear Science and Numerical Simulation, 2012
In this study, the ionic conductivity of a nanocomposite polymer electrolyte system (PEO-LiPF 6-E... more In this study, the ionic conductivity of a nanocomposite polymer electrolyte system (PEO-LiPF 6-EC-CNT), which has been produced using solution cast technique, is obtained using artificial neural networks approach. Several results have been recorded from experiments in preparation for the training and testing of the network. In the experiments, polyethylene oxide (PEO), lithium hexafluorophosphate (LiPF 6), ethylene carbonate (EC) and carbon nanotubes (CNT) are mixed at various ratios to obtain the highest ionic conductivity. The effects of chemical composition and temperature on the ionic conductivity of the polymer electrolyte system are investigated. Electrical tests reveal that the ionic conductivity of the polymer electrolyte system varies with different chemical compositions and temperatures. In neural networks training, different chemical compositions and temperatures are used as inputs and the ionic conductivities of the resultant polymer electrolytes are used as outputs. The experimental data is used to check the system's accuracy following the training process. The neural network is found to be successful for the prediction of ionic conductivity of nanocomposite polymer electrolyte system.
Journal of Non-crystalline Solids
Solid State Ionics, 2011
... solid polymer electrolyte. Mohd Rafie Johan a , Oon Hooi Shy a , Suriani Ibrahim low asterisk... more ... solid polymer electrolyte. Mohd Rafie Johan a , Oon Hooi Shy a , Suriani Ibrahim low asterisk , a , E-mail The Corresponding Author , E-mail The Corresponding Author , Siti Mariah Mohd Yassin a and Tay Yin Hui a. a Advanced ...
Communications in Nonlinear Science and Numerical Simulation, 2012
In this study, the ionic conductivity of a nanocomposite polymer electrolyte system (PEO-LiPF 6-E... more In this study, the ionic conductivity of a nanocomposite polymer electrolyte system (PEO-LiPF 6-EC-CNT), which has been produced using solution cast technique, is obtained using artificial neural networks approach. Several results have been recorded from experiments in preparation for the training and testing of the network. In the experiments, polyethylene oxide (PEO), lithium hexafluorophosphate (LiPF 6), ethylene carbonate (EC) and carbon nanotubes (CNT) are mixed at various ratios to obtain the highest ionic conductivity. The effects of chemical composition and temperature on the ionic conductivity of the polymer electrolyte system are investigated. Electrical tests reveal that the ionic conductivity of the polymer electrolyte system varies with different chemical compositions and temperatures. In neural networks training, different chemical compositions and temperatures are used as inputs and the ionic conductivities of the resultant polymer electrolytes are used as outputs. The experimental data is used to check the system's accuracy following the training process. The neural network is found to be successful for the prediction of ionic conductivity of nanocomposite polymer electrolyte system.
Journal of Non-crystalline Solids