{"id":"W4405935254","doi":"10.1109/tmtt.2024.3521389","title":"Physics-Informed Deep Operator Network for 3-D Time-Domain Electromagnetic Modeling","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Operator (biology); Physics; Time domain; Computer science","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":[0.0003667236,0.0005724307,0.000288393,0.0002864501,0.0002250459,0.0005114468,0.001065504,0.000752305,0.002369457],"category_scores_gemma":[0.001064918,0.0003271842,0.0005015633,0.0002923546,0.0005342779,0.0009637107,0.0008911947,0.001220945,0.0004675896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006142184,"about_ca_system_score_gemma":0.0007957921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002662955,"about_ca_topic_score_gemma":0.004284543,"domain_scores_codex":[0.9998636,0.00003314805,0.000004600999,0.00001866181,0.00006822951,0.00001175877],"domain_scores_gemma":[0.9997403,0.0001316798,0.00002684679,0.00003631761,0.00004624928,0.0000186865],"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":[0.0000190754,0.00001832737,0.0002248119,0.00004365469,0.00001744354,0.00005375307,0.00003974237,0.9547457,0.004661766,0.01954903,0.001116335,0.01951036],"study_design_scores_gemma":[9.583399e-7,0.000003407124,0.00001243891,0.000001486964,8.614237e-7,0.0000082084,0.000001934111,0.9965551,0.0003542629,0.002535402,0.0005246027,0.000001322143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004460957,0.00008021486,0.9926096,0.0001128545,0.00001895238,0.0000130354,0.00004801575,0.0003511263,0.002305234],"genre_scores_gemma":[0.4691969,0.0004969459,0.5202663,0.0003537758,0.00006291326,0.000227506,0.0004292818,0.0004039705,0.008562435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002662955,"threshold_uncertainty_score":0.007926643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008993035237946702,"score_gpt":0.2469685292903939,"score_spread":0.2379754940524472,"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."}}