{"id":"W4417507023","doi":"10.1021/acs.langmuir.5c04194","title":"Modeling of Methane Flow through Nanopores: Insights from Molecular Dynamics Simulations","year":2025,"lang":"en","type":"article","venue":"Langmuir","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hyperion Technologies (Canada)","funders":"Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Methane; Molecular dynamics; Knudsen number; Knudsen diffusion; Boundary value problem; Flow (mathematics); Knudsen flow; Volumetric flow rate; Flow velocity","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":[0.0002463582,0.0004262131,0.000486004,0.0005059977,0.0005536125,0.0004488291,0.0006177029,0.001000085,0.0006928387],"category_scores_gemma":[0.0008458045,0.0003111452,0.0004805723,0.0003523432,0.0005194635,0.0007207566,0.0004298222,0.0004727055,0.00008941643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008601733,"about_ca_system_score_gemma":0.001098295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01785374,"about_ca_topic_score_gemma":0.009843924,"domain_scores_codex":[0.9999216,0.00001658687,0.00000472906,0.00001140831,0.0000232098,0.00002243707],"domain_scores_gemma":[0.9997543,0.0001393188,0.00002969999,0.00001661975,0.00003169517,0.00002844585],"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":[0.00002865959,0.00004118116,0.001482436,0.00003716403,0.00001561335,0.00005672933,0.00003721969,0.9888122,0.005355093,0.002791284,0.00005705193,0.001285276],"study_design_scores_gemma":[0.000003107747,0.000004207001,0.0001628908,0.00000167423,0.000001467955,0.000001956758,0.00000501771,0.9992247,0.0003063082,0.000213519,0.00007314485,0.000002077019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9267483,0.0005761397,0.06507631,0.0004556466,0.00003376583,0.00008327782,0.0004738129,0.0002154809,0.006337131],"genre_scores_gemma":[0.9837028,0.0005995184,0.01452545,0.00004330213,0.00001163107,0.0001130286,0.0001788379,0.00004235479,0.0007831501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01785374,"threshold_uncertainty_score":0.03549963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009586351063215733,"score_gpt":0.2371623769526089,"score_spread":0.2275760258893932,"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."}}