Hydrogen desorption study of as-synthesized carbon nanotubes using artificial neural network
Carbon nanotubes are considered for hydrogen storage due to their low density, high strength, and hydrogen adsorption characteristics. Reports suggest that the total surface area of carbon affects the hydrogen storage capacities in carbon nanotubes. Based on the experimental data of as-synthesized c...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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2005
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| Online Access: | http://eprints.utm.my/5423/1/AliAbdulRahman2005_HydrogenDesorptionStudyOfAs-SynthesizedCarbonNanotubes.pdf |
| _version_ | 1825909735971356672 |
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| author | Abdul Rahman, Ali Arshad, Khairil Anuar Abd. Razak, Norhuda M. Sanip, Suhaila Ismail, Ahmad Fauzi |
| author_facet | Abdul Rahman, Ali Arshad, Khairil Anuar Abd. Razak, Norhuda M. Sanip, Suhaila Ismail, Ahmad Fauzi |
| author_sort | Abdul Rahman, Ali |
| collection | ePrints |
| description | Carbon nanotubes are considered for hydrogen storage due to their low density, high strength, and hydrogen adsorption characteristics. Reports suggest that the total surface area of carbon affects the hydrogen storage capacities in carbon nanotubes. Based on the experimental data of as-synthesized carbon nanotubes, an artificial neural network (ANN) model was developed to study the relationship between the surface area of carbon and the hydrogen desorption. The model was also used to study the effect of carbon and alumina content to the hydrogen desorption. A feedforward ANN was used for the prediction. The ANN was trained using the Levenberg-Marquardt training algorithm. |
| first_indexed | 2024-03-05T18:06:36Z |
| format | Conference or Workshop Item |
| id | utm.eprints-5423 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T18:06:36Z |
| publishDate | 2005 |
| record_format | dspace |
| spelling | utm.eprints-54232017-10-01T03:16:36Z http://eprints.utm.my/5423/ Hydrogen desorption study of as-synthesized carbon nanotubes using artificial neural network Abdul Rahman, Ali Arshad, Khairil Anuar Abd. Razak, Norhuda M. Sanip, Suhaila Ismail, Ahmad Fauzi T Technology (General) Carbon nanotubes are considered for hydrogen storage due to their low density, high strength, and hydrogen adsorption characteristics. Reports suggest that the total surface area of carbon affects the hydrogen storage capacities in carbon nanotubes. Based on the experimental data of as-synthesized carbon nanotubes, an artificial neural network (ANN) model was developed to study the relationship between the surface area of carbon and the hydrogen desorption. The model was also used to study the effect of carbon and alumina content to the hydrogen desorption. A feedforward ANN was used for the prediction. The ANN was trained using the Levenberg-Marquardt training algorithm. 2005 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/5423/1/AliAbdulRahman2005_HydrogenDesorptionStudyOfAs-SynthesizedCarbonNanotubes.pdf Abdul Rahman, Ali and Arshad, Khairil Anuar and Abd. Razak, Norhuda and M. Sanip, Suhaila and Ismail, Ahmad Fauzi (2005) Hydrogen desorption study of as-synthesized carbon nanotubes using artificial neural network. In: 3rd International Conference on Materials for Advanced Technologies (ICMAT 2005) and 9th International Conference On Advanced Materials (ICAM 2005), 3-8 July 2005, Singapore. https://www.tib.eu/en/search/id/TIBKAT%3A512838771/ICMAT-2005-Symposium-M-proceedings-of-the-International/ |
| spellingShingle | T Technology (General) Abdul Rahman, Ali Arshad, Khairil Anuar Abd. Razak, Norhuda M. Sanip, Suhaila Ismail, Ahmad Fauzi Hydrogen desorption study of as-synthesized carbon nanotubes using artificial neural network |
| title | Hydrogen desorption study of as-synthesized carbon nanotubes using artificial neural network
|
| title_full | Hydrogen desorption study of as-synthesized carbon nanotubes using artificial neural network
|
| title_fullStr | Hydrogen desorption study of as-synthesized carbon nanotubes using artificial neural network
|
| title_full_unstemmed | Hydrogen desorption study of as-synthesized carbon nanotubes using artificial neural network
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| title_short | Hydrogen desorption study of as-synthesized carbon nanotubes using artificial neural network
|
| title_sort | hydrogen desorption study of as synthesized carbon nanotubes using artificial neural network |
| topic | T Technology (General) |
| url | http://eprints.utm.my/5423/1/AliAbdulRahman2005_HydrogenDesorptionStudyOfAs-SynthesizedCarbonNanotubes.pdf |
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