{"id":"W2000729796","doi":"10.1109/jmems.2015.2411747","title":"Methods for Atomistic Simulations of Linear and Nonlinear Damping in Nanomechanical Resonators","year":2015,"lang":"en","type":"article","venue":"Journal of Microelectromechanical Systems","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Compute Canada","keywords":"Nonlinear system; Statistical physics; Quartic function; Resonator; Harmonics; Physics; Dissipation; Thermostat; Dissipation factor; Vibration; Harmonic; Mechanics; Control theory (sociology); Classical mechanics; Acoustics; Computer science; Mathematics; Quantum mechanics; Voltage; Thermodynamics","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":[0.002566897,0.0008183858,0.001141097,0.0009421522,0.001399765,0.0007751413,0.002390848,0.001940766,0.003995332],"category_scores_gemma":[0.005344024,0.0007913358,0.00108851,0.0009363666,0.0008715239,0.000881395,0.001251889,0.002185242,0.0007019597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001566076,"about_ca_system_score_gemma":0.001938929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008541318,"about_ca_topic_score_gemma":0.009448126,"domain_scores_codex":[0.999503,0.0002206242,0.00003134691,0.00003047122,0.0001707802,0.00004384715],"domain_scores_gemma":[0.9976805,0.001528656,0.0001410074,0.0002650503,0.0002665306,0.0001181499],"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":[0.00006212234,0.00008210824,0.0006500239,0.0001265988,0.0000639725,0.00007424783,0.0001435613,0.9397863,0.003047455,0.04743828,0.001101044,0.007424274],"study_design_scores_gemma":[0.00001631196,0.000006201622,0.00004690514,0.000004895987,0.000002102967,0.000003412785,0.000005123123,0.9953922,0.0001937626,0.003676336,0.0006472184,0.000005487478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04922474,0.0005122046,0.9390842,0.0005677256,0.000166,0.0003681115,0.0005592052,0.001823728,0.007694109],"genre_scores_gemma":[0.2356712,0.0006237797,0.7534148,0.0002258549,0.00009346203,0.003754135,0.0006645533,0.001580563,0.003971746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008541318,"threshold_uncertainty_score":0.01698321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0370277005329518,"score_gpt":0.3608746069601244,"score_spread":0.3238469064271726,"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."}}