Calibrating DFT Formation Enthalpy Calculations by Multifidelity Machine Learning
The application of machine learning to predict materials properties measured by experiments are valuable yet difficult due to the limited amount of experimental data. In this work, we use a multifidelity random forest model to learn the experimental formation enthalpy of materials with prediction ac...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Chemical Society
2024
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| Online Access: | https://hdl.handle.net/1721.1/154287 |