Conductivity Studies and Neural Networks Model: a Nanocomposite Polymer Electrolytes (Peo   Lipf6  Ec  Cnt) - Mohd Rafie Johan - Grāmatas - LAP LAMBERT Academic Publishing - 9783659385230 - 2013. gada 31. maijs
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Conductivity Studies and Neural Networks Model: a Nanocomposite Polymer Electrolytes (Peo Lipf6 Ec Cnt)

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In the experiment, polyethylene oxide (PEO), lithium hexafluorophosphate (LiPF6), ethylene carbonate (EC) and carbon nanotube (CNT) were mixed ad various ratios. . The conductivity increases from 10-10 to 10-5 Scm-1 upon the addition of salt. The incorporation of EC and ?CNTs to the salted polymer enhances the conductivity significantly to 10-4 and 10-3 Scm-1. In neural network training, different chemical composition and real impedance were used as inputs and imaginary impedance in the produced polymer electrolytes was used as outputs. After training process, the test data were used to check system accuracy. As a result, the neural network was found successful for the prediction of imaginary impedance of nanocomposite polymer electrolyte system.

Mediji Grāmatas     Paperback Book   (Grāmata ar mīksto vāku un līmēto muguru)
Izlaists 2013. gada 31. maijs
ISBN13 9783659385230
Izdevēji LAP LAMBERT Academic Publishing
Lapas 52
Izmēri 150 × 3 × 225 mm   ·   96 g
Valoda Vācu