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Prediction of the Critical Temperature of Superconductors Based on Two-Layer Feature Selection and the Optuna-Stacking Ensemble Learning Model
[Image: see text] The study of superconductors’ critical temperature (T(c)) has been a matter of interest. A method combining a two-layer feature selection (TL) and Optuna-Stacking ensemble learning model is proposed in the study for predicting T(c) from physicochemical components. Since most machin...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878623/ https://www.ncbi.nlm.nih.gov/pubmed/36713747 http://dx.doi.org/10.1021/acsomega.2c06324 |