{"id":"W1981536699","doi":"10.2320/matertrans.md201225","title":"Molecular Dynamics Simulation of Sintering and Surface Premelting of Silver Nanoparticles","year":2013,"lang":"en","type":"article","venue":"MATERIALS TRANSACTIONS","topic":"nanoparticles nucleation surface interactions","field":"Earth and Planetary Sciences","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"King Abdulaziz City for Science and Technology; Çankaya Üniversitesi","keywords":"Premelting; Materials science; Molecular dynamics; Sintering; Nanoparticle; Surface (topology); Nanotechnology; Dynamics (music); Silver nanoparticle; Metallurgy; Chemical engineering; Composite material; Computational chemistry; Geometry","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":[0.0002840044,0.0005281805,0.0007846918,0.0005788413,0.001148691,0.0007913456,0.001067611,0.001280083,0.004904372],"category_scores_gemma":[0.001318237,0.0005557932,0.0005742856,0.0005163907,0.0007823119,0.0007826008,0.0004515116,0.001120965,0.0002452916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001909563,"about_ca_system_score_gemma":0.001602002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02722822,"about_ca_topic_score_gemma":0.01777947,"domain_scores_codex":[0.999863,0.00001993157,0.000004906903,0.00001728204,0.00003818555,0.00005665686],"domain_scores_gemma":[0.9993717,0.0003756972,0.00005052373,0.00003895818,0.00008163293,0.00008152899],"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":[0.0002852356,0.0002311489,0.003201499,0.00007304954,0.00005336636,0.0002292632,0.0001539094,0.9789048,0.005603825,0.007688286,0.0006281456,0.002947483],"study_design_scores_gemma":[0.00003663537,0.00003272091,0.000448849,0.000003439201,0.00000481801,0.000006867019,0.00002840376,0.997736,0.001153949,0.000347069,0.000195509,0.000005761335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868269,0.0001233084,0.003388638,0.0003307929,0.00005622318,0.00003056668,0.0002143745,0.00009471251,0.008934443],"genre_scores_gemma":[0.99644,0.00006293595,0.001596224,0.00004549512,0.000009542891,0.00003865077,0.0001617466,0.00003627935,0.001609002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02722822,"threshold_uncertainty_score":0.05413949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028853595750719,"score_gpt":0.2175426740655282,"score_spread":0.207254138108021,"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."}}