Development of novel computational models based on artificial intelligence technique to predict the viscosity of ionic liquids-water mixtures

Development of novel computational models based on artificial intelligence technique to predict the viscosity of ionic liquids-water mixtures

This paper delves into the practical application of K-Nearest Neighbors (KNN), Kernel Ridge Regression (KRR), and Lasso Regression for the prediction of viscosity of ionic liquids in a dataset characterized by categorical variables (Cation, Anion) and numeric variables (T(K), xIL(mol%)). Indeed, mol...

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Bibliographic Details
Main Authors: Longyi Ran, Zheng Wang, Bing Yang, Alireza Amiri-Margavi, Najim Alshahrani
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Case Studies in Thermal Engineering
Subjects:
Machine learning
Ionic liquids
Viscosity
Kernel ridge regression
K-nearest neighbors
Lasso regression
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X24001072

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