Machine Learning Models for Melting Point Prediction of Ionic Liquids: CatBoost Approach
Using ionic liquids as phase changing materials is of particular interest in the context of heat storage. As a consequence, predicting accurately the melting point of ionic liquids is of capital importance as it is one of the most important thermophysical properties in this context. In this work we...
| Main Authors: | , , |
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| Format: | Article |
| Language: | deu |
| Published: |
Swiss Chemical Society
2023-09-01
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| Series: | CHIMIA |
| Subjects: | |
| Online Access: | https://www.chimia.ch/chimia/article/view/7047 |