{"id":"doi:10.1103/physreva.108.063303","kind":"article","title":"Detecting the phase transition in a strongly interacting Fermi gas by unsupervised machine learning","authors":["D. Eberz","M. Link","A. Kell","Moritz Breyer","K. Gao","Michael Köhl"],"author_count":6,"year":2023,"published":"2023-12-04","venue":"Physical Review A","cited_by":4,"doi":"10.1103/physreva.108.063303","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1103/physreva.108.063303","archive_url":"https://space-kitty.com/papers/doi:10.1103/physreva.108.063303","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W4389298753","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":false,"retracted":false,"peer_reviewed":null,"categories":["Cold Atom Physics and Bose-Einstein Condensates"],"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":[]}