{"id":"doi:10.1016/j.mtcomm.2022.104743","kind":"article","title":"Prediction of the critical temperature of superconducting materials using image regression and ensemble deep learning","authors":["AmirMasoud Taheri","Hossein Ebrahimnezhad","Mohammad Hossein Sedaaghi"],"author_count":3,"year":2022,"published":"2022-10-28","venue":"Materials Today Communications","cited_by":11,"doi":"10.1016/j.mtcomm.2022.104743","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.mtcomm.2022.104743","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.mtcomm.2022.104743","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W4307486641","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":[]}