{"id":"W1967835363","doi":"10.1063/1.2710263","title":"Molecular dynamics methodology to investigate steady-state heterogeneous crystal growth","year":2007,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"nanoparticles nucleation surface interactions","field":"Earth and Planetary Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Supercooling; Steady state (chemistry); Crystal (programming language); Crystal growth; Thermodynamics; Growth rate; Molecular dynamics; Materials science; Crystallization; Chemical physics; Chemistry; Physical chemistry; Physics; Computer science; Computational chemistry","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":[0.000396483,0.0005100889,0.0006827049,0.0004348879,0.0004697548,0.0004221482,0.001129962,0.0007572825,0.001909786],"category_scores_gemma":[0.0007056023,0.0003737701,0.0006202748,0.0003389718,0.0004620635,0.0007266198,0.000585143,0.001122077,0.0003628843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005910545,"about_ca_system_score_gemma":0.0006340505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002127106,"about_ca_topic_score_gemma":0.00161508,"domain_scores_codex":[0.9998542,0.00003222111,0.000007435625,0.00002684852,0.00006408697,0.00001522671],"domain_scores_gemma":[0.9997535,0.0001100643,0.00002612214,0.00004856857,0.00004628139,0.00001548873],"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":[0.00006322665,0.0001629138,0.001076095,0.0002224396,0.000167941,0.0001135106,0.0001496153,0.7847058,0.07011776,0.1159079,0.0007400359,0.02657272],"study_design_scores_gemma":[0.00001244795,0.00001707042,0.0001058473,0.000004081005,0.000006716047,0.00001285399,0.00000464752,0.9921877,0.003113949,0.00272002,0.001807409,0.00000718634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04335245,0.0004340172,0.9500127,0.000134014,0.00009163363,0.0001696768,0.0001894251,0.0004867581,0.005129188],"genre_scores_gemma":[0.371516,0.001256934,0.6199712,0.0001577142,0.00006633151,0.001386568,0.0004691,0.0004276581,0.004748567],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002127106,"threshold_uncertainty_score":0.006388903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03207734996960607,"score_gpt":0.2727636105553664,"score_spread":0.2406862605857603,"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."}}