{"id":"W3201719585","doi":"10.1177/14644207211045821","title":"Molecular dynamics simulation of plastic deformation in polyethylene under uniaxial and biaxial tension","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and Applications","topic":"High-Velocity Impact and Material Behavior","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Materials science; Strain rate; Composite material; Strain hardening exponent; Deformation (meteorology); Molecular dynamics; Ultimate tensile strength; Hardening (computing); Tension (geology); Softening; Yield (engineering); Strain (injury); Stress (linguistics); Chemistry; 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":[0.0002844621,0.0004735384,0.0006803148,0.0003976378,0.000608427,0.0006700353,0.0007020817,0.001059333,0.001562821],"category_scores_gemma":[0.001066363,0.0003767876,0.0005883751,0.000546477,0.0006010194,0.0006874069,0.0003807333,0.0007130706,0.0001517279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008224745,"about_ca_system_score_gemma":0.001087719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01219435,"about_ca_topic_score_gemma":0.00834931,"domain_scores_codex":[0.9998841,0.00002346422,0.000005746734,0.00001717881,0.00003161819,0.00003786152],"domain_scores_gemma":[0.9996302,0.0001765985,0.00004863011,0.0000216064,0.00006746351,0.00005546201],"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":[0.0001675288,0.0001619242,0.003124362,0.0000697975,0.00004775407,0.0001467765,0.0001061803,0.9833401,0.008256966,0.002094847,0.0001959318,0.002287782],"study_design_scores_gemma":[0.00003211674,0.00005433048,0.0009206507,0.000003828054,0.000006761477,0.00001104903,0.00001994033,0.9975579,0.001028262,0.0001716051,0.0001864953,0.000006958548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893726,0.0001391521,0.006235881,0.0001793476,0.00002036007,0.00004048289,0.0003046026,0.00008264143,0.003624924],"genre_scores_gemma":[0.9906394,0.0002252178,0.006956136,0.00005551855,0.000007545565,0.0001153688,0.0005672264,0.00003232351,0.001401227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01219435,"threshold_uncertainty_score":0.02424669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01761365383049956,"score_gpt":0.2492654407859093,"score_spread":0.2316517869554097,"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."}}