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Suriani Ibrahim

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Papers by Suriani Ibrahim

Research paper thumbnail of Effects of Al 2O 3 nanofiller and EC plasticizer on the ionic conductivity enhancement of solid PEO–LiCF 3SO 3 solid polymer electrolyte

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 ...

Research paper thumbnail of Optimization of neural network for ionic conductivity of nanocomposite solid polymer electrolyte system (PEO-LiPF6-EC-CNT

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.

Research paper thumbnail of Conductivity, thermal and infrared studies on plasticized polymer electrolytes with carbon nanotubes as filler

Journal of Non-crystalline Solids

Research paper thumbnail of Effects of Al 2O 3 nanofiller and EC plasticizer on the ionic conductivity enhancement of solid PEO–LiCF 3SO 3 solid polymer electrolyte

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 ...

Research paper thumbnail of Optimization of neural network for ionic conductivity of nanocomposite solid polymer electrolyte system (PEO-LiPF6-EC-CNT

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.

Research paper thumbnail of Conductivity, thermal and infrared studies on plasticized polymer electrolytes with carbon nanotubes as filler

Journal of Non-crystalline Solids

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