{"id":"W2753334750","doi":"10.4028/www.scientific.net/kem.754.165","title":"Fracture Mechanics Analysis of Size-Dependent Piezoelectric Solids under a Thermal Load","year":2017,"lang":"en","type":"article","venue":"Key engineering materials","topic":"Nonlocal and gradient elasticity in micro/nano structures","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Agentúra na Podporu Výskumu a Vývoja","keywords":"Finite element method; Piezoelectricity; Boundary value problem; Materials science; Thermal conduction; Mechanics; Infinitesimal strain theory; Constitutive equation; Tensor (intrinsic definition); Fracture (geology); Displacement (psychology); Temperature gradient; Stress (linguistics); Thermal; Mathematical analysis; Physics; Geometry; Mathematics; Composite material; Thermodynamics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000245077,0.000192705,0.0002871715,0.0003367473,0.0003292789,0.0003727157,0.0004181688,0.0009154101,0.001146411],"category_scores_gemma":[0.0005425756,0.0002027222,0.0003042006,0.0001845907,0.0006796514,0.000347667,0.0003218269,0.0003400554,0.0001124739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002881805,"about_ca_system_score_gemma":0.0004118167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001518875,"about_ca_topic_score_gemma":0.001334308,"domain_scores_codex":[0.9999,0.00001432992,0.000003762905,0.000018168,0.00005095891,0.00001272183],"domain_scores_gemma":[0.9998005,0.0001093933,0.00003011525,0.00001697293,0.00003010333,0.00001284258],"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":[0.00008607416,0.00008302653,0.002591577,0.000125362,0.00003239527,0.0005183105,0.0001998311,0.7994262,0.15688,0.02193988,0.0003537167,0.01776364],"study_design_scores_gemma":[0.00000587293,0.00002837415,0.001859684,0.000005442129,0.000003053177,0.0001031819,0.00003305737,0.9902353,0.00486475,0.002617883,0.0002328579,0.00001063263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8439187,0.0004537461,0.1502219,0.0002931725,0.00003171496,0.00003202121,0.0001133535,0.00007785701,0.004857534],"genre_scores_gemma":[0.9885241,0.0001348377,0.009395663,0.00001575996,0.000008314482,0.00002515833,0.00003783086,0.00001648159,0.001841743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001518875,"threshold_uncertainty_score":0.003835082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006966914377876473,"score_gpt":0.2213129928766647,"score_spread":0.2143460784987883,"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."}}