# Predicting the critical superconducting temperature using the random forest, MLP neural network, M5 model tree and multivariate linear regression

Article · Paulino José García Nieto, Esperanza García–Gonzalo, Luis Alfonso Menéndez-García, Laura Álvarez de Prado, Antonio Bernardo-Sánchez

- Archive id: doi:10.1016/j.aej.2023.11.034
- Published: 2023-11-28
- Venue: Alexandria Engineering Journal
- DOI: https://doi.org/10.1016/j.aej.2023.11.034
- Citations: 26
- Source URL: https://doi.org/10.1016/j.aej.2023.11.034
- PDF: https://ars.els-cdn.com/content/image/1-s2.0-S1110016823010116-ga1_lrg.jpg
- Provenance: openalex

_Abstract not reproduced: its license does not permit redistribution. See the source URL._

Topics: [Computational & AI-Driven Superconductor Discovery](https://space-kitty.com/topics/superconductor-discovery)

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