{"id":"W4417512546","doi":"10.36227/techrxiv.176617819.95258667/v1","title":"Toward the Fast Electromagnetic Solver with Physics-Informed Fourier Neural Operator","year":2025,"lang":"","type":"preprint","venue":"","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Artificial neural network; Robustness (evolution); Adaptability; Operator (biology); Computational electromagnetics; Electromagnetic field; Fourier transform; Scattering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0003753173,0.001331201,0.001186942,0.0001627435,0.0003292039,0.0005202994,0.001247028,0.0005406054,0.003244527],"category_scores_gemma":[0.0001796151,0.0008710667,0.0004819402,0.001216208,0.0003061038,0.000209435,0.0005320234,0.002444332,0.0001131427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003499005,"about_ca_system_score_gemma":0.0007959135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001270186,"about_ca_topic_score_gemma":0.000026969,"domain_scores_codex":[0.995186,0.0003489617,0.001083873,0.001042903,0.0008411491,0.001497064],"domain_scores_gemma":[0.996336,0.00117008,0.0001985103,0.001573671,0.0003521511,0.0003696001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007638906,0.0003570419,0.0003440233,0.001700182,0.00198394,0.00003801451,0.005986787,0.4324971,0.005437826,0.009858256,0.004944555,0.5360884],"study_design_scores_gemma":[0.001956224,0.001569748,0.001543446,0.0002478483,0.0006078656,0.00003075545,0.0002976812,0.9740841,0.007090283,0.001212214,0.009751446,0.001608382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.080934,0.002748643,0.6672724,0.009700667,0.00388232,0.006292285,0.00007388782,0.0016327,0.227463],"genre_scores_gemma":[0.7977536,0.0008011587,0.1622785,0.003697102,0.001283284,0.0007116128,0.00007381045,0.0002473491,0.03315352],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7168196,"threshold_uncertainty_score":0.9999439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02169041323440907,"score_gpt":0.2768694369415076,"score_spread":0.2551790237070986,"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."}}