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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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-01-01
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Series: | Results in Chemistry |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2211715625000220 |
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