Predicting the critical superconducting temperature using the random forest, MLP neural network, M5 model tree and multivariate linear regression
Paulino José García Nieto, Esperanza García–Gonzalo, Luis Alfonso Menéndez-García, Laura Álvarez de Prado, Antonio Bernardo-Sánchez
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Record
- Archive ID
- doi:10.1016/j.aej.2023.11.034
- Published
- Nov 28, 2023
- Venue
- Alexandria Engineering Journal
- DOI
- 10.1016/j.aej.2023.11.034
- Categories
- Machine Learning in Materials Science
- License
- cc-by-nc-nd
- Provenance
- openalex