{"id":"W4362677890","doi":"10.1016/j.commatsci.2023.112161","title":"Tensile strain as an efficient way to tune transport properties of Graphdiyne/Borophene hetero-bilayers; a first principle investigation","year":2023,"lang":"en","type":"article","venue":"Computational Materials Science","topic":"Graphene research and applications","field":"Materials Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Government of Ontario; University of Toronto; Canada Foundation for Innovation; Ontario Research Foundation","keywords":"Borophene; Tensile strain; Materials science; Strain (injury); Ultimate tensile strength; Condensed matter physics; Nanotechnology; Composite material; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000146564,0.0002565809,0.0001994422,0.00009467309,0.0002664443,0.0005273198,0.0003582248,0.0002983138,0.001220741],"category_scores_gemma":[0.0001547299,0.0001588736,0.0000790829,0.000134908,0.0003280619,0.0003556425,0.0002559808,0.0004552918,0.0001542574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000300423,"about_ca_system_score_gemma":0.0001690717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005095818,"about_ca_topic_score_gemma":0.001160239,"domain_scores_codex":[0.9999416,0.000005348853,0.000002008061,0.00001113779,0.00002565186,0.00001421005],"domain_scores_gemma":[0.9999433,0.00002043251,0.00001133704,0.000009265206,0.000006959825,0.000008827475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001211441,0.00005556669,0.0002300603,0.00008699211,0.000009343922,0.00008755676,0.00004688418,0.001210114,0.9912914,0.004726125,0.0003242214,0.001810722],"study_design_scores_gemma":[0.00005375358,0.000180367,0.001465546,0.00001586533,0.00001227316,0.00007882178,0.00008662404,0.04983502,0.9456406,0.0007858,0.001822468,0.00002274931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928104,0.000255381,0.003124539,0.0003450851,0.00003678109,0.0000140046,0.00009975004,0.00006930892,0.003244721],"genre_scores_gemma":[0.9976366,0.0002752984,0.001274521,0.00002945444,0.000005082312,0.00001003116,0.00003562852,0.00002152788,0.0007118783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001220741,"threshold_uncertainty_score":0.004083753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04418047058768471,"score_gpt":0.2992570762840218,"score_spread":0.2550766056963371,"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."}}