{"id":"W4407368875","doi":"10.1063/5.0251597","title":"A neural network approach to improve Reynolds-averaged Navier–Stokes modeling of bluff body wakes","year":2025,"lang":"en","type":"article","venue":"AIP Advances","topic":"Fluid Dynamics and Vibration Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bluff; Reynolds number; Reynolds-averaged Navier–Stokes equations; Mechanics; Computational fluid dynamics; Navier–Stokes equations; Wake; Physics; Reynolds decomposition; Artificial neural network; Computer science; Statistical physics; Turbulence; Reynolds equation; 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":[0.0003513643,0.0004324041,0.0002068835,0.0002755976,0.0001969954,0.0002708301,0.0004915836,0.0003851986,0.0005405356],"category_scores_gemma":[0.0008407407,0.000193106,0.0002478108,0.0001736859,0.0002319428,0.0004813764,0.0002947362,0.0004761295,0.0001432824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003332784,"about_ca_system_score_gemma":0.0004545773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007551435,"about_ca_topic_score_gemma":0.007548013,"domain_scores_codex":[0.9999136,0.00002313942,0.000005464323,0.00001926368,0.000027059,0.0000114991],"domain_scores_gemma":[0.999816,0.00007757037,0.00002343478,0.00001446923,0.00006089666,0.000007561222],"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":[0.00001887202,0.00002625795,0.000735547,0.0000122884,0.0000116282,0.00002702234,0.00001345515,0.9648238,0.003492752,0.0009812753,0.0001648346,0.02969222],"study_design_scores_gemma":[3.593003e-7,0.00000322752,0.00003699623,3.918694e-7,4.439759e-7,9.260395e-7,4.207699e-7,0.9996667,0.0001995935,0.00005621934,0.00003411391,5.328149e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1226278,0.0002462494,0.8727691,0.0001854537,0.00006794403,0.00003607568,0.00004956968,0.0007058532,0.003311997],"genre_scores_gemma":[0.8600117,0.0001329207,0.1372326,0.00006287684,0.00003159566,0.0000559107,0.00007997015,0.00004384461,0.00234853],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007551435,"threshold_uncertainty_score":0.01501495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005349000221119475,"score_gpt":0.2221589184667363,"score_spread":0.2168099182456169,"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."}}