{"id":"W4389383227","doi":"","title":"Topology Optimization of Magnetic Actuator based on Reluctance Network Modeling and Adjoint Variable Method","year":2023,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Magnetic reluctance; Topology optimization; Actuator; Topology (electrical circuits); Variable (mathematics); Control theory (sociology); Computer science; Network topology; Control engineering; Finite element method; Mathematics; Engineering; Mechanical engineering; Control (management); Mathematical analysis; Electrical engineering; Magnet; 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":[0.0003849124,0.0005934058,0.0008536124,0.0003890492,0.0002822942,0.0006680096,0.0005972409,0.0008632495,0.002245001],"category_scores_gemma":[0.0008387883,0.0003134251,0.0005341053,0.0002724085,0.0004214068,0.000766567,0.0004613911,0.0005396686,0.0002852997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003377498,"about_ca_system_score_gemma":0.0004762091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001569352,"about_ca_topic_score_gemma":0.001372179,"domain_scores_codex":[0.9998355,0.00007252614,0.000004662221,0.00003238362,0.00004267408,0.00001219761],"domain_scores_gemma":[0.9997341,0.0001432098,0.00004111764,0.00001732466,0.00004958027,0.00001469158],"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":[0.0000252156,0.00001705973,0.0001287085,0.00005134465,0.000010009,0.00003109666,0.0000203369,0.9830765,0.003216699,0.004884298,0.0002672566,0.008271517],"study_design_scores_gemma":[0.000002036025,0.000009023188,0.00003407924,0.0000017249,0.000001518463,0.000006117739,0.000003987158,0.9985404,0.0002109179,0.0009765451,0.0002119148,0.000001782487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03279136,0.000281211,0.9578727,0.0002128896,0.00005952911,0.00003611002,0.00004484854,0.0001952951,0.008505975],"genre_scores_gemma":[0.8946158,0.0003735718,0.09779444,0.00005184071,0.00004828829,0.0001576864,0.0001328656,0.0001260259,0.006699541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002245001,"threshold_uncertainty_score":0.007510304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0083073290547678,"score_gpt":0.208986787523284,"score_spread":0.2006794584685162,"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."}}