{"id":"W4378843073","doi":"10.1109/apec43580.2023.10131386","title":"An Alternative Method to Accurately Model Magnetic Components Using Ansys HFSS 3D","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"HFSS; Inductor; Parasitic extraction; Electronic engineering; Finite element method; Capacitance; Inductance; Transformer; Electronic component; Equivalent circuit; Computer science; Engineering; Electrical engineering; Physics; Microstrip antenna; Antenna (radio); Structural engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005702073,0.001054814,0.0005611369,0.0007698412,0.0004707649,0.001090516,0.001333203,0.001702821,0.01784576],"category_scores_gemma":[0.00108714,0.0007192539,0.001075077,0.0004963256,0.0002634241,0.000985058,0.0005255265,0.001219847,0.004894097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005553955,"about_ca_system_score_gemma":0.001293393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006624662,"about_ca_topic_score_gemma":0.008559152,"domain_scores_codex":[0.9995766,0.00005710339,0.00002640289,0.00003842517,0.00027034,0.00003107015],"domain_scores_gemma":[0.9995765,0.0001064342,0.00005066746,0.00007503801,0.000177248,0.00001422118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001259765,0.0002317233,0.002655602,0.001167706,0.0002052786,0.0003929287,0.0006309137,0.6662503,0.07007422,0.05143797,0.03436172,0.1724657],"study_design_scores_gemma":[0.00004328747,0.00007671127,0.0004149211,0.00006677763,0.00003789752,0.0002476596,0.00007415015,0.8594387,0.01543152,0.002768578,0.1213569,0.00004296936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006494144,0.0001841917,0.9727108,0.0001932939,0.0002067302,0.0001656765,0.0008267598,0.006974609,0.0122438],"genre_scores_gemma":[0.2138549,0.0007864689,0.7489936,0.0003474898,0.00009000745,0.00110678,0.003211697,0.002408603,0.02920051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01784576,"threshold_uncertainty_score":0.05969995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1079846742400525,"score_gpt":0.3644802308974845,"score_spread":0.2564955566574321,"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."}}