{"id":"W2075878343","doi":"10.1177/1045389x04040907","title":"A Hybrid Analytical/Numerical Model of Piezoelectric Stack Actuators Using a Macroscopic Nonlinear Theory of Ferroelectricity and a Preisach Model of Hysteresis","year":2004,"lang":"en","type":"article","venue":"Journal of Intelligent Material Systems and Structures","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Piezoelectricity; Nonlinear system; Actuator; Polarization (electrochemistry); Ferroelectricity; Hysteresis; Electric field; Vibration; Elasticity (physics); Materials science; Physics; Mechanics; Control theory (sociology); Condensed matter physics; Acoustics; Engineering; Computer science; Dielectric; Electrical engineering; Optoelectronics","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":[0.0002527977,0.0003893514,0.0004028562,0.0002956424,0.0003602761,0.0006551766,0.001107735,0.001306085,0.001444819],"category_scores_gemma":[0.0005184606,0.0003054602,0.000566574,0.0002632315,0.0007835571,0.0008924808,0.0005131351,0.0006771665,0.0003870062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004894517,"about_ca_system_score_gemma":0.0008792597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002074041,"about_ca_topic_score_gemma":0.001889554,"domain_scores_codex":[0.9998876,0.00002053851,0.000006779886,0.00001966497,0.00005459293,0.00001078372],"domain_scores_gemma":[0.9999156,0.00003303383,0.00001309034,0.0000140929,0.00001796441,0.000006117652],"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":[0.00002474698,0.00005232944,0.0002415265,0.0001149982,0.00001686835,0.0001793615,0.0001119278,0.8654253,0.03633611,0.08297624,0.0004259049,0.01409476],"study_design_scores_gemma":[0.000003423299,0.00001205188,0.00004689306,0.000003738014,0.000002800498,0.00002330898,0.000005281267,0.9933275,0.001284416,0.004276346,0.001009315,0.000004912417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02268706,0.0004107008,0.965438,0.0003571264,0.00007671807,0.00007331213,0.00006871273,0.00020464,0.01068363],"genre_scores_gemma":[0.6824944,0.001470354,0.2878402,0.0002254037,0.0001162036,0.0006266985,0.0001774381,0.0001172088,0.02693213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002074041,"threshold_uncertainty_score":0.0048334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03350836257827353,"score_gpt":0.268166858354984,"score_spread":0.2346584957767105,"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."}}