{"id":"W2076836320","doi":"10.1016/j.actamat.2009.05.028","title":"Deformation characteristics and stress–strain response of nanotwinned copper via molecular dynamics simulation","year":2009,"lang":"en","type":"article","venue":"Acta Materialia","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":102,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Nanocrystalline material; Deformation (meteorology); Composite material; Dislocation; Molecular dynamics; Copper; Ductility (Earth science); Crystallite; Anisotropy; Ultimate tensile strength; Stress (linguistics); Deformation mechanism; Metallurgy; Microstructure; Nanotechnology; Creep; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003319018,0.0001321876,0.0002091412,0.00004403669,0.0000578411,0.00008782074,0.0001156827,0.0001070506,0.0001521473],"category_scores_gemma":[0.00011612,0.00010868,0.00002400442,0.00004720812,0.00004920204,0.0002570243,0.00003874647,0.00003638164,0.00001149885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004382844,"about_ca_system_score_gemma":0.0000275709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000982953,"about_ca_topic_score_gemma":0.000001412699,"domain_scores_codex":[0.9990337,0.0001293192,0.0003536059,0.0001665519,0.0001428778,0.0001739568],"domain_scores_gemma":[0.9994724,0.00001828474,0.0001774073,0.0002046493,0.00007675759,0.00005053449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008113543,0.00001887983,0.00001708829,0.00004015007,0.000002715634,0.000002482446,0.0002975757,0.00001614737,0.9976087,0.0003449958,0.00001917439,0.0008208043],"study_design_scores_gemma":[0.0003079462,0.0002083645,0.005169169,0.00004177823,0.00001828486,0.000006889862,0.00003372706,0.002516744,0.9904549,0.000933571,0.0001634746,0.0001451855],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966717,0.00001117504,0.001659724,0.000200963,0.0005554139,0.0001692183,0.0006743756,0.00003969884,0.00001770359],"genre_scores_gemma":[0.998866,0.000003463072,0.0006737586,0.0001880601,0.00003510993,0.000002028385,0.0001639206,0.00001035322,0.00005730714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007153767,"threshold_uncertainty_score":0.4431842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008272873365031536,"score_gpt":0.2344302868920175,"score_spread":0.226157413526986,"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."}}