کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10248178 | 49192 | 2005 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Application of artificial neural networks to high-throughput synthesis of zeolites
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
کاتالیزور
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Application of artificial neural networks to high-throughput synthesis of zeolites Application of artificial neural networks to high-throughput synthesis of zeolites](/preview/png/10248178.png)
چکیده انگلیسی
It is shown that multi-phase crystalline systems in zeolite synthesis can be modelled by using artificial neural networks (ANNs) and considering as input variables the molar compositions of the starting synthesis gel. Experimental data were obtained using high-throughput tools for synthesis of solid materials under hydrothermal conditions and following a multi-level factorial experimental design of the system TEA:SiO2:Na2O:Al2O3:H2O. The study of several neural networks resulted in a non-linear model able to predict the occurrence and crystallinity of zeolite beta and competing phases, being the predictions much better than those obtained by classical quadratic models.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Microporous and Mesoporous Materials - Volume 78, Issue 1, 4 February 2005, Pages 73-81
Journal: Microporous and Mesoporous Materials - Volume 78, Issue 1, 4 February 2005, Pages 73-81
نویسندگان
M. Moliner, J.M. Serra, A. Corma, E. Argente, S. Valero, V. Botti,