Computational models based on machine learning and validation for predicting ionic liquids viscosity in mixtures

Computational models based on machine learning and validation for predicting ionic liquids viscosity in mixtures

Abstract This research article presents a thorough and all-encompassing examination of predictive models utilized in the estimation of viscosity for ionic liquid solutions. The study focuses on crucial input parameters, namely the type of cation, the type of anion, the temperature (measured in Kelvi...

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Detaylı Bibliyografya
Asıl Yazarlar: Bader Huwaimel, Jowaher Alanazi, Muteb Alanazi, Tareq Nafea Alharby, Farhan Alshammari
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: Nature Portfolio 2024-12-01
Seri Bilgileri:Scientific Reports
Konular:
Ionic liquids
Machine learning
Viscosity, Glowworm Swarm optimization
Online Erişim:https://doi.org/10.1038/s41598-024-82989-1

Internet

https://doi.org/10.1038/s41598-024-82989-1

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