{"id":"W2580626847","doi":"10.1109/epeps.2016.7835451","title":"A passivity approach to FDTD stability with application to interconnect modeling","year":2016,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Finite-difference time-domain method; Passivity; Interconnection; Stability (learning theory); Computer science; Grid; Finite difference method; Electronic engineering; Simple (philosophy); Signal integrity; Mathematics; Engineering; Telecommunications; Electrical engineering; Physics; Mathematical analysis; Optics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001900418,0.0000985361,0.0001221864,0.00004527438,0.00001901951,0.00001180827,0.00008744401,0.00003126021,0.00007751626],"category_scores_gemma":[0.00006625923,0.00005921903,0.00002010018,0.0002440655,0.000006694691,0.00005347557,0.00001893382,0.00004345297,0.00004535705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007150663,"about_ca_system_score_gemma":0.0000049529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001740177,"about_ca_topic_score_gemma":0.000009915914,"domain_scores_codex":[0.9993424,0.00003419516,0.0001322161,0.000215644,0.00009696085,0.0001785767],"domain_scores_gemma":[0.9994931,0.00009637676,0.000006483132,0.0002126813,0.00004149992,0.0001498419],"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":[0.00007015208,0.00007214382,0.0004322123,0.00003065803,0.00001826196,8.286491e-8,0.0002946661,0.1872208,0.1960555,0.001701118,0.00008855857,0.6140159],"study_design_scores_gemma":[0.0002236799,0.0001584719,0.0006410589,0.00001136594,0.000005363606,0.000001130205,0.00003175814,0.9783645,0.01913769,0.0004119346,0.000812841,0.0002002256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2259567,0.000004655791,0.7640122,0.0002333273,0.00001262271,0.0002687272,8.851e-7,0.0002420558,0.009268834],"genre_scores_gemma":[0.8374708,7.797177e-7,0.1621859,0.0001356942,0.00002072029,0.0001147646,4.262526e-7,0.0000147072,0.00005620723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7911437,"threshold_uncertainty_score":0.2414882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01946713645442183,"score_gpt":0.248593313450269,"score_spread":0.2291261769958472,"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."}}