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...

Cur síos iomlán

Sonraí bibleagrafaíochta
Príomhchruthaitheoirí: Bader Huwaimel, Jowaher Alanazi, Muteb Alanazi, Tareq Nafea Alharby, Farhan Alshammari
Formáid: Alt
Teanga:English
Foilsithe / Cruthaithe: Nature Portfolio 2024-12-01
Sraith:Scientific Reports
Ábhair:
Ionic liquids
Machine learning
Viscosity, Glowworm Swarm optimization
Rochtain ar líne:https://doi.org/10.1038/s41598-024-82989-1

Ar líne

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

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