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Modeling the Physical Properties of Gamma Alumina Catalyst Carrier Based on an Artificial Neural Network
Porous γ-alumina is widely used as a catalyst carrier due to its chemical properties. These properties are strongly correlated with the physical properties of the material, such as porosity, density, shrinkage, and surface area. This study presents a technique that is less time consuming than other...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6600710/ https://www.ncbi.nlm.nih.gov/pubmed/31146451 http://dx.doi.org/10.3390/ma12111752 |