{"id":"W4309632099","doi":"10.1016/j.cma.2022.115736","title":"PGD reduced-order modeling for structural dynamics applications","year":2022,"lang":"en","type":"article","venue":"Computer Methods in Applied Mechanics and Engineering","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Solver; Applied mathematics; Lagrangian; Mathematics; Galerkin method; Hamiltonian (control theory); Hamiltonian mechanics; Mathematical optimization; Finite element method; Physics","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":[0.0003165154,0.000525536,0.0006524956,0.0003765986,0.0002333952,0.0007230207,0.0007666916,0.0007831827,0.002649776],"category_scores_gemma":[0.0006217094,0.0003796668,0.0006860106,0.0003176438,0.0005592534,0.0006378973,0.000827415,0.000903805,0.0008564452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003641559,"about_ca_system_score_gemma":0.0006520362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001902279,"about_ca_topic_score_gemma":0.002076146,"domain_scores_codex":[0.9998387,0.00004661362,0.000008326979,0.00001996956,0.00007349603,0.00001284786],"domain_scores_gemma":[0.9998364,0.00004597271,0.00002451359,0.0000431362,0.00003705697,0.0000128487],"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":[0.0000203439,0.00002386298,0.0003564103,0.0001046754,0.00002378418,0.00007045395,0.00005760982,0.8955367,0.006432091,0.07088678,0.001051731,0.02543564],"study_design_scores_gemma":[0.00000156677,0.000006064278,0.00003329867,0.0000038221,0.000002089628,0.000008109656,0.000003199169,0.9909932,0.000314231,0.006339253,0.002293315,0.000001897119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003693334,0.0001331138,0.9934609,0.00008811653,0.00004110978,0.00001696453,0.000061286,0.0001676536,0.002337511],"genre_scores_gemma":[0.3817865,0.001055933,0.6053928,0.0001990186,0.00009780792,0.0002893915,0.0004961495,0.0003452489,0.0103372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002649776,"threshold_uncertainty_score":0.008864403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956003649656394,"score_gpt":0.2948552944271846,"score_spread":0.2752952579306207,"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."}}