{"id":"doi:10.1515/ijmr-2021-8557","kind":"article","title":"Machine learning doped MgB2 superconductor critical temperature from topological indices","authors":["Yun Zhang","Xiaojie Xu"],"author_count":2,"year":2022,"published":"2022-05-26","venue":"International Journal of Materials Research (formerly Zeitschrift fuer Metallkunde)","cited_by":18,"doi":"10.1515/ijmr-2021-8557","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1515/ijmr-2021-8557","archive_url":"https://space-kitty.com/papers/doi:10.1515/ijmr-2021-8557","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W4281553204","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":[]}