{"id":"W4394847269","doi":"10.1017/jfm.2024.270","title":"Characterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs","year":2024,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Division of Mathematical Sciences; Army Research Office; Basic Energy Sciences; Natural Sciences and Engineering Research Council of Canada; Clemson University; Alliance de recherche numérique du Canada; Mitacs; Western University; Office of Science; Army Research Laboratory; Canada Research Chairs; Brown University; U.S. Department of Energy; U.S. Department of Defense; National Science Foundation","keywords":"Ode; Dissipative particle dynamics; Wetting; Surface tension; RADIUS; Parametric statistics; Mechanics; Materials science; Dissipative system; Particle (ecology); Contact angle; Ordinary differential equation; Statistical physics; Viscosity; Computer science; Thermodynamics; Physics; Differential equation; Applied mathematics; Mathematical analysis; Mathematics; Geology","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":[0.000334599,0.0002493637,0.0002776868,0.0003326354,0.000173537,0.0003545036,0.0004369748,0.0004074686,0.0003119246],"category_scores_gemma":[0.001228675,0.0001522275,0.0003287312,0.0002026151,0.0004911328,0.0005884394,0.0003838053,0.0003863607,0.00003764047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003542769,"about_ca_system_score_gemma":0.0003149312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001913359,"about_ca_topic_score_gemma":0.001076996,"domain_scores_codex":[0.9999098,0.00001551832,0.000006633584,0.00002130746,0.0000347506,0.00001194185],"domain_scores_gemma":[0.9996154,0.0002213874,0.00007062227,0.00003656878,0.00003258328,0.00002339085],"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":[0.00006029606,0.00004135785,0.004423806,0.00006316816,0.00002535272,0.0001521712,0.00007693531,0.9548057,0.0278311,0.006782829,0.00007345995,0.005663762],"study_design_scores_gemma":[7.8297e-7,0.000003720062,0.0001404117,5.64571e-7,4.540022e-7,0.000003768955,0.000001777536,0.9983113,0.00127688,0.0002430786,0.00001591532,0.000001464305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8136986,0.0001383388,0.1839412,0.0001367584,0.00001759025,0.00004511743,0.0001217436,0.0001607291,0.001739862],"genre_scores_gemma":[0.9862354,0.00005299284,0.01339497,0.00001065756,0.000002858663,0.00002127425,0.00004889324,0.000009387905,0.0002236664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001913359,"threshold_uncertainty_score":0.003804445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02326093745430311,"score_gpt":0.2864506132224435,"score_spread":0.2631896757681404,"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."}}