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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