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Conductivity Studies And Neural Networks Model: A Nanocomposite Polymer Electrolytes (PEO ̶ LiPF6 ̶ EC ̶ CNT) - Softcover
Synopsis
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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About the Author
Suriani Ibrahim specialist in polymer for fuel cell and biosensor applications. She have 15 international accepted journals in polymer nanocomposite and also in metal treatment.
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Conductivity Studies And Neural Networks Model
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LAP LAMBERT Academic Publishing Mai 2013, 2013
ISBN 10: 3659385239
ISBN 13: 9783659385230
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Taschenbuch. Condition: 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. Seller Inventory # 9783659385230
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Conductivity Studies and Neural Networks Model
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
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Conductivity Studies and Neural Networks Model
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Condition: New. Print on Demand pp. 52 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. Seller Inventory # 131786834
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Conductivity Studies and Neural Networks Model
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
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Conductivity Studies And Neural Networks Model
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Condition: 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. Seller Inventory # 5152737
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Conductivity Studies And Neural Networks Model : A Nanocomposite Polymer Electrolytes (PEO ¿ LiPF6 ¿ EC ¿ CNT)
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ISBN 13: 9783659385230
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Taschenbuch. Condition: 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. Seller Inventory # 9783659385230
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Conductivity Studies And Neural Networks Model
Published by
LAP LAMBERT Academic Publishing Mai 2013, 2013
ISBN 10: 3659385239
ISBN 13: 9783659385230
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Taschenbuch. Condition: 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 Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Seller Inventory # 9783659385230
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Conductivity Studies And Neural Networks Model | A Nanocomposite Polymer Electrolytes (PEO ¿ LiPF6 ¿ EC ¿ CNT)
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ISBN 13: 9783659385230
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Taschenbuch. Condition: Neu. Conductivity Studies And Neural Networks Model | A Nanocomposite Polymer Electrolytes (PEO ¿ LiPF6 ¿ EC ¿ CNT) | Suriani Ibrahim (u. a.) | Taschenbuch | 52 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659385230 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 105915608