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Calibrating DFT Formation Enthalpy Calculations by Multifidelity Machine Learning
[Image: see text] 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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9516701/ https://www.ncbi.nlm.nih.gov/pubmed/36186569 http://dx.doi.org/10.1021/jacsau.2c00235 |