Modeling of H(2)S solubility in ionic liquids: comparison of white-box machine learning, deep learning and ensemble learning approaches

In the context of gas processing and carbon sequestration, an adequate understanding of the solubility of acid gases in ionic liquids (ILs) under various thermodynamic circumstances is crucial. A poisonous, combustible, and acidic gas that can cause environmental damage is hydrogen sulfide (H(2)S)....

Descripción completa

Detalles Bibliográficos
Autores principales: Mousavi, Seyed-Pezhman, Nakhaei-Kohani, Reza, Atashrouz, Saeid, Hadavimoghaddam, Fahimeh, Abedi, Ali, Hemmati-Sarapardeh, Abdolhossein, Mohaddespour, Ahmad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10188518/
https://www.ncbi.nlm.nih.gov/pubmed/37193679
http://dx.doi.org/10.1038/s41598-023-34193-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10188518/
https://www.ncbi.nlm.nih.gov/pubmed/37193679
http://dx.doi.org/10.1038/s41598-023-34193-w

Ejemplares similares