Intelligent chemometric modelling of Al2O3 supported mixed metal oxide catalysts for oxidative dehydrogenation of n-butane using simple features-Reference-Cited by-同舟云学术

Intelligent chemometric modelling of Al₂O₃ supported mixed metal oxide catalysts for oxidative dehydrogenation of n-butane using simple features

Published:2024 Issue:8 Volume:9 Page:2226-2239
ISSN:2058-9883
Container-title:Reaction Chemistry & Engineering
language:en
Short-container-title:React. Chem. Eng.

Author:

Lawal Ridhwan¹^ORCID,Alasiri Hassan¹²^ORCID,Aitani Abdullah²^ORCID,Abdulraheem Abdulazeez³,Tanimu Gazali²^ORCID

Affiliation:

1. Department of Chemical Engineering, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia

2. Interdisciplinary Research Center for Refining and Advanced Chemicals, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia

3. Department of Petroleum Engineering, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia

Abstract

Workflow of the step by step procedure in developing supervised machine learning models for predicting the performance of oxidative dehydrogenation catalysts using simple features.

Funder

King Fahd University of Petroleum and Minerals

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/RE/D4RE00118D

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