{"id":"doi:10.1016/j.aej.2023.11.034","kind":"article","title":"Predicting the critical superconducting temperature using the random forest, MLP neural network, M5 model tree and multivariate linear regression","authors":["Paulino José García Nieto","Esperanza García–Gonzalo","Luis Alfonso Menéndez-García","Laura Álvarez de Prado","Antonio Bernardo-Sánchez"],"author_count":5,"year":2023,"published":"2023-11-28","venue":"Alexandria Engineering Journal","cited_by":26,"doi":"10.1016/j.aej.2023.11.034","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.aej.2023.11.034","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.aej.2023.11.034","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W4389113192","pdf_url":"https://ars.els-cdn.com/content/image/1-s2.0-S1110016823010116-ga1_lrg.jpg","abstract":null,"abstract_license":null,"license":"cc-by-nc-nd","is_open_access":true,"retracted":false,"peer_reviewed":null,"categories":["Machine Learning in Materials Science"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"superconductor-discovery","name":"Computational & AI-Driven Superconductor Discovery","domain_slug":"superconductivity"}],"cited_in_dossiers":[]}