PREDICTING THE STABILITY OF CLAY MINERALS USING XGBOOST MACHINE LEARNING: EFFICIENCY AND ACCURACY THROUGH COMPOSITION DESCRIPTORS
Clay minerals are materials that have various benefits, particularly in their swelling properties and cation exchange capacity. These materials have diverse compositional variations, each resulting in different properties. With the advancement of Ab initio computational methods such as Density Fu...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/81557 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
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