Artificial intelligence techniques for modeling and optimization of the HDS process over a new graphene based catalyst-Reference-Cited by-同舟云学术

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Artificial intelligence techniques for modeling and optimization of the HDS process over a new graphene based catalyst

Published:2016-07-11 Issue:9 Volume:191 Page:1256-1261
ISSN:1042-6507
Container-title:Phosphorus, Sulfur, and Silicon and the Related Elements
language:en
Short-container-title:Phosphorus, Sulfur, and Silicon and the Related Elements

Author:

Hajjar Zeinab¹²,Kazemeini Mohammad¹³,Rashidi Alimorad²,Tayyebi Shokoufe²

Affiliation:

1. Institute for Nano Science & Nano Technology, Sharif University of Technology, Tehran, Iran

2. Research Institute of Petroleum Industry (RIPI), Tehran, Iran

3. Department of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran

Publisher

Informa UK Limited

Subject

Inorganic Chemistry,Organic Chemistry,Biochemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/10426507.2016.1166428

Reference17 articles.

1. Effect of cobalt promoter on Co–Mo–K/C catalysts used for mixed alcohol synthesis

2. Graphene based catalysts for deep hydrodesulfurization of naphtha and diesel fuels: A physiochemical study

3. The rise of graphene

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1. Artificial neural network and semi-empirical modeling of industrial-scale Gasoil hydrodesulfurization reactor temperature profile;Mathematics and Computers in Simulation;2023-04

2. Organosilane-functionalized graphene oxide hybrid material: Efficient adsorbent for heavy metal ions in drinking water;Phosphorus, Sulfur, and Silicon and the Related Elements;2021-12-10

3. Hierarchical Hybrid Supports and Synthesis Strategies for Hydrodesulfurization of Recalcitrance Organosulfur Compounds;Chemistry – An Asian Journal;2021-05-03

4. Transparent predictive modelling of catalytic hydrodesulfurization using an interval type-2 fuzzy logic;Journal of Cleaner Production;2019-09

5. NI-MO SUPPORTED NANOPOROUS GRAPHENE AS A NOVEL CATALYST FOR HDS AND HDN OF HEAVY NAPHTHA;Brazilian Journal of Chemical Engineering;2019-03

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