A computational approach for prediction of viscosity of chemical compounds based on molecular structures

The research paper explores the feasibility of predicting the viscosity of a diverse chemical compound by using molecular structures at 25 °C through supervised machine learning methods. In this paper, Random Forest, Gradient Boosting and CatBoost supervised algorithms were implemented. The dataset...

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Bibliographic Details
Main Authors: Sneha Das, Ram Kishore Roy, Tulshi Bezboruah
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Results in Chemistry
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2211715625000220
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