{"id":"doi:10.1007/s40843-024-3026-8","kind":"article","title":"Crystal structure graph neural networks for high-performance superconducting critical temperature prediction","authors":["Jingzi Zhang","Chengquan Zhong","Xiaoting Lu","Jiakai Liu","Kailong Hu","Xi Lin"],"author_count":6,"year":2024,"published":"2024-08-23","venue":"Science China Materials","cited_by":5,"doi":"10.1007/s40843-024-3026-8","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1007/s40843-024-3026-8","archive_url":"https://space-kitty.com/papers/doi:10.1007/s40843-024-3026-8","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W4401953692","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":[]}