{"id":"doi:10.1007/s00339-025-08758-7","kind":"article","title":"Discovery of novel High-Tc superconductors via machine learning-based random forest model","authors":["Qi-Xian Wang","X. C. Yang","Ren-Gang Shi","Yiming Ren","Xiao-Bo Fan","Zhen Qin","Jun Chen"],"author_count":7,"year":2025,"published":"2025-07-10","venue":"Applied Physics A","cited_by":3,"doi":"10.1007/s00339-025-08758-7","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1007/s00339-025-08758-7","archive_url":"https://space-kitty.com/papers/doi:10.1007/s00339-025-08758-7","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W4412175674","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":false,"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":[]}