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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Những tác giả chính: Bader Huwaimel, Jowaher Alanazi, Muteb Alanazi, Tareq Nafea Alharby, Farhan Alshammari
Định dạng: Bài viết
Ngôn ngữ:English
Được phát hành: Nature Portfolio 2024-12-01
Loạt:Scientific Reports
Những chủ đề:
Ionic liquids
Machine learning
Viscosity, Glowworm Swarm optimization
Truy cập trực tuyến:https://doi.org/10.1038/s41598-024-82989-1

Internet

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

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