{"id":"doi:10.1016/j.physc.2022.1354031","kind":"article","title":"Predicting the superconducting transition temperature of high-Temperature layered superconductors via machine learning","authors":["Yun Zhang","Xiaojie Xu"],"author_count":2,"year":2022,"published":"2022-02-19","venue":"Physica C Superconductivity","cited_by":18,"doi":"10.1016/j.physc.2022.1354031","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.physc.2022.1354031","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.physc.2022.1354031","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W4213084135","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":[]}