{"id":"W3000928754","doi":"10.1016/j.spmi.2020.106420","title":"Atomistic simulations of vibration and damping in three-dimensional graphene honeycomb nanomechanical resonators","year":2020,"lang":"en","type":"article","venue":"Superlattices and Microstructures","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Aerostatic Science Foundation; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; McGill University","keywords":"Vibration; Excitation; Resonator; Cantilever; Materials science; Amplitude; Nonlinear system; Softening; Zigzag; Graphene; Magnetic damping; Physics; Acoustics; Optics; Nanotechnology; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005135611,0.0004594292,0.0009361535,0.0007432197,0.001579614,0.001126327,0.002046876,0.002776001,0.006562092],"category_scores_gemma":[0.002777523,0.0008055166,0.0008217809,0.0007501098,0.002010999,0.0009025391,0.0008340318,0.001495967,0.0003679191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001958584,"about_ca_system_score_gemma":0.001650075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02982827,"about_ca_topic_score_gemma":0.02488927,"domain_scores_codex":[0.9997032,0.0000733864,0.000009379932,0.00002708121,0.00008038319,0.0001064557],"domain_scores_gemma":[0.9982835,0.001088734,0.0001014962,0.000124468,0.000166072,0.0002357108],"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":[0.0001168246,0.0001582999,0.001668293,0.00005006434,0.00005021333,0.0001919494,0.0001092615,0.987857,0.001330347,0.006811052,0.0006969996,0.0009596265],"study_design_scores_gemma":[0.00004354996,0.00002167409,0.0004258338,0.000004225145,0.000004567761,0.000006986132,0.00004096071,0.9982854,0.0001507327,0.0008897322,0.0001183598,0.000008010091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699824,0.0001495294,0.007619177,0.0008924283,0.0001017879,0.00004857477,0.0004092214,0.0001825983,0.02061434],"genre_scores_gemma":[0.9942521,0.00004777411,0.003673447,0.0001528091,0.00002244241,0.00006497303,0.0001915369,0.00005740279,0.001537593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02982827,"threshold_uncertainty_score":0.0593093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0128727659594421,"score_gpt":0.2387330137249091,"score_spread":0.225860247765467,"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."}}