| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6671203 | The Journal of Supercritical Fluids | 2014 | 41 Pages |
Abstract
- An intelligent and simple-to-use approach for prediction H2S solubility in various ionic liquids has been developed.
- Accurate, precise and extensive H2S solubility in various ionic liquids data banks have been utilized.
- Statistical analysis was implemented to the outputs generated by PSO-ANN model.
Keywords
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Chemical Engineering (General)
Authors
Ali Shafiei, Mohammad Ali Ahmadi, Seyed Hayan Zaheri, Alireza Baghban, Ali Amirfakhrian, Reza Soleimani,