Artificial intelligence in numerical modeling of silver nanoparticles prepared in montmorillonite interlayer space
Artificial neural network (ANN) models have the capacity to eliminate the need for expensive experimental investigation in various areas of manufacturing processes, including the casting methods. An understanding of the interrelationships between input variables is essential for interpreting the sen...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
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Hindawi Publishing Corporation
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/30163/ http://psasir.upm.edu.my/id/eprint/30163/1/Artificial%20intelligence%20in%20numerical%20modeling%20of%20silver%20nanoparticles%20prepared%20in%20montmorillonite%20interlayer%20space.pdf |
| _version_ | 1848846600149925888 |
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| author | Shabanzadeh, Parvaneh Senu, Norazak Shameli, Kamyar Tabar, Maryam Mohaghegh |
| author_facet | Shabanzadeh, Parvaneh Senu, Norazak Shameli, Kamyar Tabar, Maryam Mohaghegh |
| author_sort | Shabanzadeh, Parvaneh |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Artificial neural network (ANN) models have the capacity to eliminate the need for expensive experimental investigation in various areas of manufacturing processes, including the casting methods. An understanding of the interrelationships between input variables is essential for interpreting the sensitivity data and optimizing the design parameters. Silver nanoparticles (Ag-NPs) have attracted considerable attention for chemical, physical, and medical applications due to their exceptional properties. The nanocrystal silver was synthesized into an interlamellar space of montmorillonite by using the chemical reduction technique. The method has an advantage of size control which is essential in nanometals synthesis. Silver nanoparticles with nanosize and devoid of aggregation are favorable for several properties. In this investigation, the accuracy of artificial neural network training algorithm was applied in studying the effects of different parameters on the particles, including the AgNO3 concentration, reaction temperature, UV-visible wavelength, and montmorillonite (MMT) d-spacing on the prediction of size of silver nanoparticles. Analysis of the variance showed that the AgNO3 concentration and temperature were the most significant factors affecting the size of silver nanoparticles. Using the best performing artificial neural network, the optimum conditions predicted were a concentration of AgNO 3 of 1.0 (M), MMT d-spacing of 1.27 nm, reaction temperature of 27°C, and wavelength of 397.50 nm. |
| first_indexed | 2025-11-15T09:05:17Z |
| format | Article |
| id | upm-30163 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T09:05:17Z |
| publishDate | 2013 |
| publisher | Hindawi Publishing Corporation |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-301632016-02-03T01:55:41Z http://psasir.upm.edu.my/id/eprint/30163/ Artificial intelligence in numerical modeling of silver nanoparticles prepared in montmorillonite interlayer space Shabanzadeh, Parvaneh Senu, Norazak Shameli, Kamyar Tabar, Maryam Mohaghegh Artificial neural network (ANN) models have the capacity to eliminate the need for expensive experimental investigation in various areas of manufacturing processes, including the casting methods. An understanding of the interrelationships between input variables is essential for interpreting the sensitivity data and optimizing the design parameters. Silver nanoparticles (Ag-NPs) have attracted considerable attention for chemical, physical, and medical applications due to their exceptional properties. The nanocrystal silver was synthesized into an interlamellar space of montmorillonite by using the chemical reduction technique. The method has an advantage of size control which is essential in nanometals synthesis. Silver nanoparticles with nanosize and devoid of aggregation are favorable for several properties. In this investigation, the accuracy of artificial neural network training algorithm was applied in studying the effects of different parameters on the particles, including the AgNO3 concentration, reaction temperature, UV-visible wavelength, and montmorillonite (MMT) d-spacing on the prediction of size of silver nanoparticles. Analysis of the variance showed that the AgNO3 concentration and temperature were the most significant factors affecting the size of silver nanoparticles. Using the best performing artificial neural network, the optimum conditions predicted were a concentration of AgNO 3 of 1.0 (M), MMT d-spacing of 1.27 nm, reaction temperature of 27°C, and wavelength of 397.50 nm. Hindawi Publishing Corporation 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/30163/1/Artificial%20intelligence%20in%20numerical%20modeling%20of%20silver%20nanoparticles%20prepared%20in%20montmorillonite%20interlayer%20space.pdf Shabanzadeh, Parvaneh and Senu, Norazak and Shameli, Kamyar and Tabar, Maryam Mohaghegh (2013) Artificial intelligence in numerical modeling of silver nanoparticles prepared in montmorillonite interlayer space. Journal of Chemistry, 2013. art. no. 305713. pp. 1-8. ISSN 2090-9063; ESSN: 2090-9071 http://www.hindawi.com/journals/jchem/2013/305713/ 10.1155/2013/305713 English |
| spellingShingle | Shabanzadeh, Parvaneh Senu, Norazak Shameli, Kamyar Tabar, Maryam Mohaghegh Artificial intelligence in numerical modeling of silver nanoparticles prepared in montmorillonite interlayer space |
| title | Artificial intelligence in numerical modeling of silver nanoparticles prepared in montmorillonite interlayer space |
| title_full | Artificial intelligence in numerical modeling of silver nanoparticles prepared in montmorillonite interlayer space |
| title_fullStr | Artificial intelligence in numerical modeling of silver nanoparticles prepared in montmorillonite interlayer space |
| title_full_unstemmed | Artificial intelligence in numerical modeling of silver nanoparticles prepared in montmorillonite interlayer space |
| title_short | Artificial intelligence in numerical modeling of silver nanoparticles prepared in montmorillonite interlayer space |
| title_sort | artificial intelligence in numerical modeling of silver nanoparticles prepared in montmorillonite interlayer space |
| url | http://psasir.upm.edu.my/id/eprint/30163/ http://psasir.upm.edu.my/id/eprint/30163/ http://psasir.upm.edu.my/id/eprint/30163/ http://psasir.upm.edu.my/id/eprint/30163/1/Artificial%20intelligence%20in%20numerical%20modeling%20of%20silver%20nanoparticles%20prepared%20in%20montmorillonite%20interlayer%20space.pdf |