Solubility of gaseous hydrocarbons in ionic liquids using equations of state and machine learning approaches

Ionic liquids (ILs) have emerged as suitable options for gas storage applications over the past decade. Consequently, accurate prediction of gas solubility in ILs is crucial for their application in the industry. In this study, four intelligent techniques including Extreme Learning Machine (ELM), De...

Descripción completa

Detalles Bibliográficos
Autores principales: Nakhaei-Kohani, Reza, Atashrouz, Saeid, Hadavimoghaddam, Fahimeh, Bostani, Ali, Hemmati-Sarapardeh, Abdolhossein, Mohaddespour, Ahmad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395420/
https://www.ncbi.nlm.nih.gov/pubmed/35995904
http://dx.doi.org/10.1038/s41598-022-17983-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395420/
https://www.ncbi.nlm.nih.gov/pubmed/35995904
http://dx.doi.org/10.1038/s41598-022-17983-6

Ejemplares similares