Razak, N.A. and Arshad, K.A. and Rahman , A.A. and Ismail , A.F. and Sanip, S.M. (2004) 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 |
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| Uncontrolled Keywords: | carbon nanotubes; neural network; modeling; surface area |
| Subjects: | T Technology > TP Chemical technology |
| Divisions: | Chemical and Natural Resources Engineering |
| ID Code: | 706 |
| Deposited By: | Pn Norazana Ibrahim |
| Deposited On: | 22 Feb 2007 05:33 |
| Last Modified: | 06 Sep 2017 06:39 |
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