{"id":"W2088291682","doi":"10.1007/s00211-007-0123-9","title":"Energy-conserved splitting FDTD methods for Maxwell’s equations","year":2007,"lang":"en","type":"article","venue":"Numerische Mathematik","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Mathematics; Divergence (linguistics); Dissipative system; Maxwell's equations; Convergence (economics); Numerical analysis; Energy (signal processing); Finite-difference time-domain method; Applied mathematics; Mathematical analysis; Conserved quantity; Space (punctuation); Scattering-matrix method; Order (exchange); Mathematical physics; Physics; Quantum mechanics; 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":[0.0003387499,0.0003385496,0.0003555376,0.0004489205,0.0003600024,0.0005234188,0.00082986,0.0006481675,0.004071658],"category_scores_gemma":[0.0009367022,0.0001982734,0.000367424,0.0005662169,0.0004542363,0.0009433361,0.0007108438,0.0007710474,0.0009149043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003127908,"about_ca_system_score_gemma":0.0004266099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008569346,"about_ca_topic_score_gemma":0.001188066,"domain_scores_codex":[0.9998616,0.00003274518,0.000007502229,0.000009971621,0.00007705615,0.00001119618],"domain_scores_gemma":[0.999738,0.00007310744,0.00001731551,0.00006057422,0.00009480668,0.000016182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001503628,0.0001135294,0.0006351906,0.0003897666,0.00004869109,0.0001867122,0.0004813925,0.1175079,0.0343111,0.5860512,0.006808595,0.2533155],"study_design_scores_gemma":[0.00003479825,0.00002234259,0.0002192948,0.00004585067,0.00001460879,0.0001505542,0.00005718007,0.8836147,0.006544818,0.09009515,0.01918335,0.00001744601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01237312,0.0009244927,0.9755231,0.0002269836,0.0001697576,0.00004045195,0.00006248135,0.0001688477,0.0105108],"genre_scores_gemma":[0.3174828,0.001755825,0.6528839,0.0002850899,0.0001193769,0.000195917,0.0002646096,0.0003989839,0.0266136],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004071658,"threshold_uncertainty_score":0.01362103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03127591187150139,"score_gpt":0.3548937820485665,"score_spread":0.3236178701770651,"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."}}