Conductivity Studies And Neural Networks Model: A Nanocomposite Polymer Electrolytes (PEO ̶ LiPF6 ̶ EC ̶ CNT) - Couverture souple

Ibrahim, Suriani ; Johan, Mohd Rafie

9783659385230: Conductivity Studies And Neural Networks Model: A Nanocomposite Polymer Electrolytes (PEO ̶ LiPF6 ̶ EC ̶ CNT)

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ISBN 10 : 3659385239 ISBN 13 : 9783659385230

Editeur : LAP LAMBERT Academic Publishing, 2013

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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 αCNTs 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.

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2013
Langue: anglais
ISBN 10: 3659385239
ISBN 13: 9783659385230
Reliure: Broch�
Nombre de pages: 52
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Conductivity Studies And Neural Networks Model

Suriani Ibrahim

Edit� par LAP LAMBERT Academic Publishing Mai 2013, 2013

ISBN 10 : 3659385239 ISBN 13 : 9783659385230

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 52 pp. Englisch. N� de r�f. du vendeur 9783659385230

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Conductivity Studies and Neural Networks Model

Ibrahim, Suriani; Johan, Mohd Rafie

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Conductivity Studies and Neural Networks Model

Ibrahim, Suriani; Johan, Mohd Rafie

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ISBN 10 : 3659385239 ISBN 13 : 9783659385230

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Conductivity Studies and Neural Networks Model

Ibrahim, Suriani; Johan, Mohd Rafie

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Conductivity Studies And Neural Networks Model

Suriani Ibrahim|Mohd Rafie Johan

Edit� par LAP LAMBERT Academic Publishing, 2013

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ibrahim SurianiSuriani Ibrahim specialist in polymer for fuel cell and biosensor applications. She have 15 international accepted journals in polymer nanocomposite and also in metal treatment.In the experiment, polyethylene oxide. N� de r�f. du vendeur 5152737

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Conductivity Studies And Neural Networks Model

Suriani Ibrahim

Edit� par LAP LAMBERT Academic Publishing Mai 2013, 2013

ISBN 10 : 3659385239 ISBN 13 : 9783659385230

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 52 pp. Englisch. N� de r�f. du vendeur 9783659385230

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Conductivity Studies And Neural Networks Model : A Nanocomposite Polymer Electrolytes (PEO � LiPF6 � EC � CNT)

Suriani Ibrahim

Edit� par LAP LAMBERT Academic Publishing, 2013

ISBN 10 : 3659385239 ISBN 13 : 9783659385230

Neuf Taschenbuch

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9783659385230

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