Intelligent modeling of hydrogen sulfide solubility in various types of single and multicomponent solvents
Abstract This study aims to study the solubility of acid gas, i.e., hydrogen sulfide (H2S) in different solvents. Three intelligent approaches, including Multilayer Perceptron (MLP), Gaussian Process Regression (GPR) and Radial Basis Function (RBF) were used to construct reliable models based on an...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-03-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-30777-8 |