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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...
Bewaard in:
| Gepubliceerd in: | Materials (Basel) |
|---|---|
| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6600710/ https://ncbi.nlm.nih.gov/pubmed/31146451 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ma12111752 |
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