{"id":"W2429477146","doi":"10.1088/0965-0393/24/5/055015","title":"Atomistic simulations of material damping in amorphous silicon nanoresonators","year":2016,"lang":"en","type":"article","venue":"Modelling and Simulation in Materials Science and Engineering","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Materials science; Amorphous solid; Silicon; Amorphous silicon; Molecular dynamics; Condensed matter physics; Engineering physics; Composite material; Crystallography; Crystalline silicon; Optoelectronics; Physics; Quantum mechanics","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":[0.0003183954,0.0003086987,0.0004654238,0.0004363548,0.0006149811,0.0004956928,0.0006241865,0.0007505428,0.001216137],"category_scores_gemma":[0.001314457,0.0003600578,0.0003573447,0.0003286638,0.000815345,0.0004260969,0.0004424801,0.0004865315,0.00009214385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103804,"about_ca_system_score_gemma":0.0009074273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01616501,"about_ca_topic_score_gemma":0.008961342,"domain_scores_codex":[0.9998941,0.00002351199,0.000005301579,0.00001561094,0.00002939411,0.00003200434],"domain_scores_gemma":[0.9995356,0.000256948,0.00005347873,0.00003419923,0.00005506351,0.00006472111],"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":[0.00008035513,0.00006195947,0.002016188,0.00002218893,0.00001796964,0.0000829315,0.00007877958,0.9904327,0.004656155,0.001660638,0.0001093093,0.0007807413],"study_design_scores_gemma":[0.00001756551,0.00001840186,0.0004709955,0.000002096994,0.000002657661,0.000003492181,0.00001662203,0.9987307,0.00044312,0.0002214023,0.00006899174,0.000003831224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934604,0.00006125038,0.003723238,0.0001352507,0.000009252833,0.00001644321,0.000115383,0.00005007131,0.002428675],"genre_scores_gemma":[0.9969421,0.00004513898,0.002414535,0.00002584705,0.000003195155,0.00003053083,0.00008466795,0.00001753798,0.0004363805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01616501,"threshold_uncertainty_score":0.03214186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325638983856065,"score_gpt":0.2333291297581192,"score_spread":0.2200727399195586,"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."}}