{"id":"doi:10.1021/acs.jpcc.2c01904","kind":"article","title":"Machine Learning Prediction of Superconducting Critical Temperature through the Structural Descriptor","authors":["Jingzi Zhang","Zhuoxuan Zhu","X.‐D. Xiang","Ke Zhang","Shangchao Huang","Chengquan Zhong","Hua‐Jun Qiu","Kailong Hu","Xi Lin"],"author_count":9,"year":2022,"published":"2022-05-12","venue":"The Journal of Physical Chemistry C","cited_by":55,"doi":"10.1021/acs.jpcc.2c01904","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1021/acs.jpcc.2c01904","archive_url":"https://space-kitty.com/papers/doi:10.1021/acs.jpcc.2c01904","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W4280512145","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":[]}