{"id":"W2080165611","doi":"10.1063/1.4766203","title":"Temperature dependent elastic constants and ultimate strength of graphene and graphyne","year":2012,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Graphene research and applications","field":"Materials Science","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada); Wilfrid Laurier University","funders":"National Natural Science Foundation of China","keywords":"Graphyne; Graphene; Materials science; Ultimate tensile strength; Thermal expansion; Elastic modulus; Modulus; Composite material; Work (physics); Temperature coefficient; Lattice constant; Negative thermal expansion; Condensed matter physics; Thermodynamics; Nanotechnology; Physics; Diffraction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003344685,0.00007357576,0.0001578076,0.00002093896,0.00004817925,0.00001673064,0.0001372517,0.00002747592,0.00001062085],"category_scores_gemma":[0.00004054858,0.00004297356,0.00003510634,0.0001173882,0.0003114006,0.0001380799,0.00005103517,0.0001540129,9.98048e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004718488,"about_ca_system_score_gemma":0.00001899901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002864238,"about_ca_topic_score_gemma":1.455533e-7,"domain_scores_codex":[0.9992986,0.00004322091,0.0001926244,0.00004928371,0.0002423822,0.0001738277],"domain_scores_gemma":[0.9992839,0.0002068376,0.0001611722,0.0001023171,0.0001023946,0.0001434183],"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":[0.0000453733,0.00008304078,0.0007359331,0.00002129661,0.00001543799,2.147846e-7,0.0001316966,0.000001448488,0.9958054,0.002724558,0.00008850256,0.0003471053],"study_design_scores_gemma":[0.0003019658,0.00003609809,0.001398418,0.00003180956,0.00004411071,0.00003698123,0.00009036913,0.000009095759,0.9811373,0.01685785,0.000007094833,0.00004892746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985532,0.0009877925,0.0002262713,0.00007908459,0.00002641174,0.00005152904,0.00002334229,0.00000321086,0.00004913196],"genre_scores_gemma":[0.9991473,0.0002816207,0.0004641761,0.00001501223,0.00008396344,9.383267e-7,6.484786e-7,0.00000489566,0.000001433634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01466811,"threshold_uncertainty_score":0.1752411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01263971337059086,"score_gpt":0.2621625434997953,"score_spread":0.2495228301292045,"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."}}