{"id":"W4284884682","doi":"10.1063/5.0097963","title":"Increasing the mobility and power-electronics figure of merit of AlGaN with atomically thin AlN/GaN digital-alloy superlattices","year":2022,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Office of Science; Basic Energy Sciences; National Energy Research Scientific Computing Center; U.S. Department of Energy","keywords":"Figure of merit; Materials science; Superlattice; Electron mobility; Condensed matter physics; Optoelectronics; Thin film; Band gap; Dielectric; Doping; Wide-bandgap semiconductor; Semiconductor; Nanotechnology; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009400192,0.0002374729,0.0001411725,0.0001370661,0.0002062096,0.0002771605,0.000316512,0.0001966145,0.0006716563],"category_scores_gemma":[0.000157996,0.0001551271,0.0001768227,0.00009434927,0.0002200467,0.0002602155,0.0001482215,0.000181094,0.0001100005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004564168,"about_ca_system_score_gemma":0.0002639312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00165481,"about_ca_topic_score_gemma":0.002904202,"domain_scores_codex":[0.9999547,0.000004563685,0.000001650746,0.000006388266,0.00002385991,0.000008842676],"domain_scores_gemma":[0.9999541,0.00001277541,0.00001247435,0.000006049346,0.000008765409,0.000005704794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006650404,0.00004682491,0.002399259,0.00009969823,0.00002934821,0.0001839006,0.00004668491,0.03250126,0.9571543,0.004632224,0.000121664,0.002718244],"study_design_scores_gemma":[0.00004131318,0.000235657,0.005103584,0.00001498229,0.00003508311,0.0002246048,0.000112111,0.4970099,0.4942106,0.001768967,0.00121674,0.00002662494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949511,0.0001189606,0.003131666,0.00004728092,0.000008979974,0.000004674298,0.00003249688,0.00002347201,0.001681269],"genre_scores_gemma":[0.995789,0.00009962181,0.003662599,0.00001130131,0.000002002776,0.000008530826,0.00003012086,0.000006020611,0.0003908171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00165481,"threshold_uncertainty_score":0.003311574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006054445836217817,"score_gpt":0.1971920158775259,"score_spread":0.1911375700413081,"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."}}