{"id":"W4399733627","doi":"10.1016/j.jcp.2024.113195","title":"CFD stability improvement using dynamic mode decomposition of solution update vectors","year":2024,"lang":"en","type":"article","venue":"Journal of Computational Physics","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Ansys","keywords":"Dynamic mode decomposition; Stability (learning theory); Decomposition; Computational fluid dynamics; Mode (computer interface); Applied mathematics; Computer science; Mathematics; Control theory (sociology); Mechanics; Physics; Chemistry; Artificial intelligence","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":[0.0005160556,0.0007189261,0.000511996,0.0005044028,0.0003147331,0.0006127809,0.0005933489,0.0005428277,0.004106071],"category_scores_gemma":[0.002617649,0.0003482985,0.0004277478,0.0003119471,0.0002676657,0.0009152601,0.0007361556,0.001002763,0.0005906513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003283137,"about_ca_system_score_gemma":0.0007770934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003371619,"about_ca_topic_score_gemma":0.004036877,"domain_scores_codex":[0.999801,0.0000459383,0.00001281601,0.00003717757,0.00008004824,0.0000229402],"domain_scores_gemma":[0.9993755,0.0002444313,0.000049264,0.00009614052,0.0002104031,0.00002417428],"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":[0.0002808985,0.0001899127,0.001110075,0.0001131775,0.00006075487,0.00004407782,0.00009071332,0.6043727,0.03422511,0.01189059,0.003022376,0.3445996],"study_design_scores_gemma":[0.000003044445,0.00001104765,0.0000596902,0.000001989811,0.000001917187,0.00000471104,0.000002837388,0.9975259,0.001576288,0.0005426523,0.0002679727,0.000001897267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02942709,0.0001225044,0.9666466,0.0001781273,0.0001263834,0.00002687102,0.00005088149,0.0005844291,0.002837147],"genre_scores_gemma":[0.5529276,0.000154433,0.4413145,0.0001042873,0.00007081195,0.00007832854,0.0001904601,0.000357829,0.004801874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004106071,"threshold_uncertainty_score":0.01373619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804761773066472,"score_gpt":0.3307561847198692,"score_spread":0.3127085669892045,"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."}}