{"id":"W2785959540","doi":"10.1109/tie.2018.2801843","title":"Real-Time FEM Computation of Nonlinear Magnetodynamics of Moving Structures on FPGA for HIL Emulation","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Texas at Austin","keywords":"Finite element method; Emulation; Nonlinear system; Computation; Computer science; Real-time simulation; Field-programmable gate array; Stiffness matrix; Engineering; Simulation; Computer hardware; Algorithm; Structural engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001179478,0.0003250331,0.0002022912,0.00017986,0.0001709429,0.0002527028,0.0003697319,0.000235725,0.004616616],"category_scores_gemma":[0.0003865908,0.000148072,0.0001621167,0.0001190232,0.0001772107,0.0002937762,0.0002272641,0.0002522007,0.0004857439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002170368,"about_ca_system_score_gemma":0.0003223492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001025693,"about_ca_topic_score_gemma":0.001548502,"domain_scores_codex":[0.9999483,0.00001098827,0.000002320919,0.000005858677,0.00002535337,0.000007268989],"domain_scores_gemma":[0.9998822,0.00005432636,0.00000987057,0.00002212773,0.00002489525,0.000006540532],"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":[0.0001820259,0.00005610688,0.00134124,0.0001747693,0.00002527901,0.0002574149,0.0001561333,0.8122045,0.05667583,0.01507196,0.003290225,0.1105645],"study_design_scores_gemma":[0.00001081466,0.00002508955,0.0001720241,0.000005217757,0.000002636442,0.00002722069,0.00001466934,0.9890668,0.007856852,0.0007831653,0.002031696,0.00000369051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07439345,0.00008593717,0.9130639,0.00008802657,0.00004450698,0.00003918759,0.00009902615,0.003304782,0.008881098],"genre_scores_gemma":[0.7524434,0.00009032816,0.2435451,0.00003510159,0.00000923461,0.00008852718,0.000141059,0.0001746286,0.003472543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004616616,"threshold_uncertainty_score":0.0154441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01648035583366747,"score_gpt":0.2491774980596246,"score_spread":0.2326971422259571,"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."}}