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Intelligent modeling of hydrogen sulfide solubility in various types of single and multicomponent solvents
This study aims to study the solubility of acid gas, i.e., hydrogen sulfide (H(2)S) 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 extensi...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992357/ https://www.ncbi.nlm.nih.gov/pubmed/36882537 http://dx.doi.org/10.1038/s41598-023-30777-8 |