An artificial intelligence optimization of NOx conversion efficiency under dual catalytic mechanism reaction based on multi-objective gray wolf algorithm
In the era of industry 4.0, artificial intelligence (AI) offers new perspectives for researching the complex sustainable chemical reactions in selective catalytic reduction (SCR). This aims to further improve the utilization and efficiency of SCR. In this study, a fuzzy gray relational analysis coup...
Saved in:
Main Authors: | Zhiqing Zhang, Zicheng He, Yuguo Wang, Feng Jiang, Weihuang Zhong, Bin Zhang, Yanshuai Ye, Zibin Yin, Dongli Tan |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-04-01
|
Series: | Fuel Processing Technology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0378382025000062 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Exhaust gas after treatment using air preheating and selective catalytic reduction by urea to reduce NOx in diesel engine
by: Mohammad Shahed H.K. Tushar, et al.
Published: (2025-02-01) -
Catalytic and engineering strategies for enhanced hydrogenation reactions: A review of heterogeneous catalysts and process optimization
by: Yihui Song, et al.
Published: (2025-03-01) -
Sewage sludge as a sustainable feedstock for biodiesel: Advances in conversion technologies and catalytic applications
by: Christopher Selvam D, et al.
Published: (2025-03-01) -
Atmospheric reductive catalytic fractionation of lignocellulose integrated with one-pot catalytic conversion of carbohydrate yielding valuable lignin monomers and platform chemicals from corn straw
by: Meng-Ying Liu, et al.
Published: (2025-01-01) -
Polymeric nanoreactors for catalytic applications
by: Abou-Fayssal, Chantal Joseph, et al.
Published: (2024-06-01)