{"id":"W4402689117","doi":"10.2514/6.2024-3615","title":"Mesh Optimization for Improved Computational Fluid Dynamics Numerical Stability and Convergence Rate","year":2024,"lang":"en","type":"article","venue":"","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Convergence (economics); Stability (learning theory); Computer science; Rate of convergence; Computational fluid dynamics; Mathematical optimization; Mathematics; Mechanics; Physics; Telecommunications","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":[0.0008284458,0.0004374257,0.0005077447,0.0005608235,0.0004766454,0.0008338773,0.0006146192,0.0005168883,0.002776656],"category_scores_gemma":[0.002580042,0.0002114653,0.0004586667,0.0004323907,0.0003675235,0.0005755882,0.0008765394,0.0007390575,0.0007008133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003408015,"about_ca_system_score_gemma":0.0007050961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009100413,"about_ca_topic_score_gemma":0.001290953,"domain_scores_codex":[0.9995795,0.00008223327,0.00002354756,0.00004149046,0.0002324872,0.00004068428],"domain_scores_gemma":[0.9993184,0.0002977217,0.00005770893,0.0001311594,0.000175514,0.00001960267],"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":[0.0002069981,0.0002090686,0.003581889,0.0002821041,0.00005636333,0.0001816769,0.0002896328,0.5958199,0.1587866,0.05877521,0.003981137,0.1778294],"study_design_scores_gemma":[0.000009260312,0.00003920732,0.0003333007,0.000009940333,0.000007881425,0.00004476378,0.00001642185,0.9634821,0.02924101,0.002381623,0.004422864,0.00001168283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03528081,0.0001586548,0.9555538,0.0001737981,0.0001052086,0.00007024602,0.00007388087,0.0008474431,0.007736122],"genre_scores_gemma":[0.4546429,0.0002297903,0.5397206,0.00008788846,0.00002959405,0.0002798056,0.0001817241,0.0005165031,0.004311325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002776656,"threshold_uncertainty_score":0.009288847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445382438095173,"score_gpt":0.2510998369579049,"score_spread":0.2366460125769532,"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."}}