{"id":"W2027361961","doi":"10.1109/epeps.2012.6457889","title":"Waveform relaxation with overlapping based partitioning for fast transient simulation of package/board power distribution networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Waveform; Discretization; Relaxation (psychology); Convergence (economics); Computer science; Transient (computer programming); Power (physics); Algorithm; Iterative method; Power integrity; Partial element equivalent circuit; Node (physics); Topology (electrical circuits); Electronic engineering; Signal integrity; Equivalent circuit; Mathematics; Physics; Engineering; Electrical engineering; Telecommunications; Mathematical analysis; Acoustics","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":[0.0004605317,0.0005342344,0.0004339493,0.0002626547,0.0003612264,0.0003994994,0.0007021871,0.0005561506,0.001693137],"category_scores_gemma":[0.001498696,0.0003875192,0.000410203,0.0003733832,0.0003909086,0.0006527427,0.0005585912,0.0007779911,0.0002896451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003230805,"about_ca_system_score_gemma":0.0006517234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002769362,"about_ca_topic_score_gemma":0.002321632,"domain_scores_codex":[0.9998416,0.00006765174,0.000006426796,0.00001160411,0.00005224437,0.00002050678],"domain_scores_gemma":[0.9995776,0.0002684929,0.00004046106,0.00004073339,0.00004911609,0.00002356002],"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":[0.00005181978,0.00002744114,0.0002441896,0.00002774629,0.00001024884,0.00005140329,0.00008030156,0.9751673,0.004460481,0.00639651,0.0002828934,0.0131996],"study_design_scores_gemma":[0.000003461221,0.00000728511,0.00001367461,0.000001325546,8.330715e-7,0.000003783454,0.000003676806,0.9989665,0.0004318307,0.0003990174,0.0001673474,0.000001265212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04648711,0.0001149184,0.9492266,0.0000911745,0.00001988848,0.00005836692,0.0000359157,0.0004164732,0.003549501],"genre_scores_gemma":[0.617124,0.0002413434,0.3796695,0.00005877584,0.00002053799,0.0002893611,0.0001406162,0.0002134138,0.00224244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002769362,"threshold_uncertainty_score":0.00566411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008057157911530007,"score_gpt":0.2109894176414361,"score_spread":0.2029322597299061,"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."}}