{"id":"W4386813284","doi":"10.1016/j.cpc.2023.108936","title":"Global energy-preserving local mesh-refined S-FDTD schemes for two dimensional Maxwell's equations in Drude metamaterials","year":2023,"lang":"en","type":"article","venue":"Computer Physics Communications","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Finite-difference time-domain method; Polygon mesh; Metamaterial; Maxwell's equations; Computer science; Energy (signal processing); Drude model; Electromagnetic field solver; Computational science; Applied mathematics; Topology (electrical circuits); Mathematics; Physics; Electromagnetic field; Mathematical analysis; Optics; Inhomogeneous electromagnetic wave equation; Quantum mechanics","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":[0.0005395789,0.0003654872,0.0004808627,0.0003532545,0.000252925,0.0005470104,0.0009881345,0.0005298541,0.001414057],"category_scores_gemma":[0.001016246,0.0002043406,0.0004378907,0.0003977303,0.0006382296,0.0008181063,0.000986121,0.0006997419,0.0003579638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004188073,"about_ca_system_score_gemma":0.0004287018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001952497,"about_ca_topic_score_gemma":0.003229987,"domain_scores_codex":[0.9998847,0.00004695289,0.000007180148,0.000009806194,0.00003867812,0.00001274418],"domain_scores_gemma":[0.9996648,0.0001209486,0.00003000364,0.00008413621,0.00008075921,0.00001935596],"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":[0.0004416412,0.0001368663,0.001435532,0.0002536626,0.00006810288,0.0001975761,0.0005088745,0.6474811,0.03894091,0.1879336,0.002822542,0.1197795],"study_design_scores_gemma":[0.00001310254,0.00002283753,0.00008729933,0.000007170292,0.000004702787,0.00001968249,0.0000178363,0.9906199,0.002002498,0.006311811,0.0008859527,0.00000716287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05617797,0.000316373,0.9374518,0.0001609827,0.00005336255,0.0000268984,0.00006758679,0.0002170441,0.005528014],"genre_scores_gemma":[0.5988664,0.0003720285,0.3912271,0.0001353009,0.00003493316,0.00008709448,0.0001681828,0.0002979627,0.0088111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001952497,"threshold_uncertainty_score":0.004730523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04805300058347337,"score_gpt":0.3311250119841346,"score_spread":0.2830720114006613,"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."}}