{"id":"W2804590285","doi":"10.1139/cjp-2018-0126","title":"Simulation of droplet impacting a square solid obstacle in microchannel with different wettability by using high density ratio pseudopotential multiple-relaxation-time (MRT) lattice Boltzmann method (LBM)","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Physics","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lattice Boltzmann methods; Breakup; Obstacle; Microchannel; Mechanics; Reynolds number; Physics; Wetting; Weber number; Coalescence (physics); Drop (telecommunication); Thermodynamics; Turbulence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003110539,0.0002476023,0.0005087454,0.0001729311,0.0001866705,0.00005713293,0.0001386937,0.0000944716,0.00002314612],"category_scores_gemma":[0.0002613536,0.0002330173,0.00009999013,0.0003459677,0.0001212615,0.0005053561,0.00001767634,0.0002798823,0.000003012103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005359769,"about_ca_system_score_gemma":0.0002338428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002819412,"about_ca_topic_score_gemma":0.008446134,"domain_scores_codex":[0.9984162,0.0001079748,0.0006600334,0.0001772774,0.0002713798,0.0003671738],"domain_scores_gemma":[0.9978876,0.0004538563,0.000444161,0.0002063674,0.0007595681,0.0002484943],"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":[0.00005038602,0.00003572703,0.01546356,0.00006803672,0.000154432,0.000007748298,0.003177077,0.9478239,0.03219853,0.00001451918,0.00004473234,0.0009613327],"study_design_scores_gemma":[0.001301152,0.000124211,0.02160677,0.0001724059,0.0001445177,0.00001086911,0.000468595,0.93545,0.04010544,0.0003060879,0.00001678454,0.0002931918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7768623,0.0000604443,0.2226286,0.00002987242,0.0001760376,0.0001657504,0.00005375905,0.00001432669,0.00000893585],"genre_scores_gemma":[0.9960433,0.000001039766,0.003550423,0.00002127897,0.000317995,0.000001198694,0.00001298523,0.00004544756,0.000006394435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.219181,"threshold_uncertainty_score":0.9502171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716099682638788,"score_gpt":0.2602441570730037,"score_spread":0.2430831602466159,"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."}}