{"id":"W2223873755","doi":"10.1103/physrevb.91.035132","title":"Impurity-induced magnetic moments on the graphene-lattice Hubbard model: An inhomogeneous cluster dynamical mean-field theory study","year":2015,"lang":"en","type":"article","venue":"Physical Review B","topic":"Graphene research and applications","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Université de Sherbrooke","funders":"Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Institute for Advanced Research","keywords":"Condensed matter physics; Hubbard model; Antiferromagnetism; Graphene; Mean field theory; Impurity; Physics; Magnetic impurity; Magnetic moment; Density functional theory; Spintronics; Lattice (music); Dynamical mean field theory; Spin (aerodynamics); Anderson impurity model; Cluster (spacecraft); Quantum mechanics; Ferromagnetism","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001428575,0.0002289203,0.0003609967,0.00003577328,0.0001840383,0.00009702441,0.0008059784,0.0000326968,0.00006795346],"category_scores_gemma":[0.0003722983,0.0001374107,0.0001401411,0.0003520993,0.00009128506,0.0001417952,0.0002268783,0.0002865182,0.0004944541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004126176,"about_ca_system_score_gemma":0.0000763367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003863528,"about_ca_topic_score_gemma":0.00002541289,"domain_scores_codex":[0.9970924,0.0008607082,0.0002937844,0.0004941344,0.0008118825,0.0004471135],"domain_scores_gemma":[0.9979331,0.0004412834,0.00007842256,0.001001353,0.000146545,0.0003992931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001066817,0.02465091,0.000410611,0.001055369,0.0002236902,0.00005717347,0.00598871,0.001472737,0.3224985,0.5473873,0.008819324,0.08636887],"study_design_scores_gemma":[0.001317971,0.004852053,0.000415648,0.0004529532,0.0003113596,0.00001079501,0.0005754931,0.02849194,0.01799056,0.9442952,0.0004798993,0.000806127],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941986,0.0008918178,0.0004767734,0.001659723,0.00004542188,0.001576835,0.00001227137,0.00007005314,0.001068539],"genre_scores_gemma":[0.9967594,0.000276161,0.0001148729,0.002119314,0.0001031111,0.000556309,0.000005142043,0.00002468791,0.00004103558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3969079,"threshold_uncertainty_score":0.6355372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06194676107348812,"score_gpt":0.3667689639255252,"score_spread":0.3048222028520371,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}