Hydrodesulfurization of Dibenzothiophene: A Machine Learning Approach

Hydrodesulfurization of Dibenzothiophene: A Machine Learning Approach

Abstract The hydrodesulfurization (HDS) process is widely used in the industry to eliminate sulfur compounds from fuels. However, removing dibenzothiophene (DBT) and its derivatives is a challenge. Here, the key aspects that affect the efficiency of catalysts in the HDS of DBT were investigated usin...

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Bibliographic Details
Main Authors: Dr. Guadalupe Castro, Dr. Julián Cruz‐Borbolla, Dr. Marcelo Galván, Dr. Alfredo Guevara‐García, Dr. Joel Ireta, Dr. Myrna H. Matus, Dr. Amilcar Meneses‐Viveros, Dr. Luis Ignacio Perea‐Ramírez, Miriam Pescador‐Rojas
Format: Article
Language:English
Published: Wiley-VCH 2024-09-01
Series:ChemistryOpen
Subjects:
Hydrodesulfurization
Computational chemistry
Lasso regression
Heterogeneous catalysis
Selectivity HYD/DDS
Online Access:https://doi.org/10.1002/open.202400062

Internet

https://doi.org/10.1002/open.202400062

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