Abd. Razak, Norhuda and Arshad, Khairil Anuar and Abd. Rahman, Ali and M. Sanip, Suhaila and Ismail, Ahmad Fauzi (2004) Artificial neural network modelling for the prediction of carbon surface area. In: The XXI Regional Conference on Solid State Science & Technology 2004, 12-13 October 2004, Hyatt Regency Kinabalu, Sabah, Malaysia.
Carbon nanotubes are considered for hydrogen storage due to their low density, high strength, and hydrogen adsorption characteristics. Recent reports suggest that total surface area of carbon nanotubes affect the hydrogen storage capacities in carbon nanotubes. An Artificial Neural Network model has been created for the prediction of the surface area of carbon. The model is used to study the influence of the different type of carbon on the hydrogen storage properties of carbon nanotubes.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||Artificial neural network modelling, carbon nanotubes, carbon surface area|
|Subjects:||T Technology > T Technology (General)|
|Divisions:||Chemical and Natural Resources Engineering (Formerly known)|
|Deposited By:||Norhani Jusoh|
|Deposited On:||26 Aug 2008 10:58|
|Last Modified:||01 Jun 2010 15:38|
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