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Artificial Neural Network Modeling Of Hydrogen Uptake Based On Carbon Surface Area

Razak, N.A. and Arshad, K.A. and Rahman , A.A. and Ismail , A.F. and Sanip, S.M. Artificial Neural Network Modeling Of Hydrogen Uptake Based On Carbon Surface Area. Proceedings of Advances in Fuel Cell Research and Development in Malaysia . pp. 165-169.

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Abstract

The discovery of carbon nanotubes (CNT) by Sumiio Iijima in 1991 has attracted many researchers worldwide to study and explore thc newly found materials. CNT are considered for hydrogen storage due to their low density, high strength, and hydrogen adsorption characteristics. Rcccnt reports suggest that total surfacc area of carbon affect the hydrogen storage capacities in carbon nanotubes. An Artificial Neural Network model was created to study the relationship between the surface area of carbon and the hydrogen adsorption.

Item Type:Article
Uncontrolled Keywords:carbon nanotubes; neural network; modeling; surface area
Subjects:T Technology > TP Chemical technology
Divisions:Chemical and Natural Resources Engineering (Formerly known)
ID Code:706
Deposited By: Pn Norazana Ibrahim
Deposited On:22 Feb 2007 05:33
Last Modified:01 Jun 2010 02:47

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