{"id":"W4376616842","doi":"10.1007/s10825-023-02036-6","title":"Design considerations for engineering $$\\hbox {HfS}_2$$ negative capacitance FET through multilayered channel and $$\\hbox {Hf}_{1-x}{\\hbox {Zr}_{x}}\\hbox {O}_2$$/$$\\hbox {HfO}_2$$ double-gate stacks: an ab initio and NEGF study","year":2023,"lang":"en","type":"article","venue":"Journal of Computational Electronics","topic":"Ferroelectric and Negative Capacitance Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Hysteresis; Negative impedance converter; Capacitance; Quantum capacitance; Subthreshold slope; Monolayer; MOSFET; Field-effect transistor; Ferroelectricity; Optoelectronics; Condensed matter physics; Dielectric; Transistor; Nanotechnology; Physics; Voltage; Electrode; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001076113,0.0007589365,0.001053822,0.0006358138,0.0005944794,0.0003882207,0.0003196307,0.0002455209,0.00002045161],"category_scores_gemma":[0.0003854068,0.000779297,0.0001855974,0.001009593,0.0001711049,0.00184322,0.00004498515,0.001048348,0.00000873896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004684178,"about_ca_system_score_gemma":0.0004659721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001629772,"about_ca_topic_score_gemma":0.00009245337,"domain_scores_codex":[0.9958965,0.0002118408,0.001375823,0.0006233329,0.0008107966,0.001081745],"domain_scores_gemma":[0.9949815,0.002650381,0.0005502739,0.000263969,0.001200575,0.0003532576],"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":[0.0005606034,0.0002575321,0.00009099328,0.0002221936,0.0009611683,0.00008365129,0.01078996,0.9764037,0.003811006,0.004489312,0.001611186,0.0007187474],"study_design_scores_gemma":[0.008806567,0.002869929,0.002057207,0.0002599502,0.0003347776,0.0003845482,0.003458109,0.9274718,0.006581256,0.04597335,0.0005759385,0.001226588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.753932,0.004232693,0.2379467,0.0006116127,0.0006543265,0.001956007,0.0001648951,0.0004050261,0.00009674019],"genre_scores_gemma":[0.9746041,0.001318186,0.02300012,0.0002214518,0.0004310148,0.0001702747,0.00004865299,0.000164621,0.00004157958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2206721,"threshold_uncertainty_score":0.9994658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05573219962828632,"score_gpt":0.2828542324359853,"score_spread":0.227122032807699,"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."}}