{"id":"doi:10.1063/5.0290299","kind":"article","title":"Predicting the critical temperature of superconductors and materials classification with a balanced dataset without prior knowledge","authors":["P. A. H. Nawoda","Gayan Prasad Hettiarachchi","M. D.T. Attygalle"],"author_count":3,"year":2026,"published":"2026-01-13","venue":"Journal of Applied Physics","cited_by":2,"doi":"10.1063/5.0290299","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1063/5.0290299","archive_url":"https://space-kitty.com/papers/doi:10.1063/5.0290299","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W7123752784","pdf_url":null,"abstract":null,"abstract_license":null,"license":"cc-by-nc","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":[]}