{"id":"W4366829142","doi":"10.1002/aelm.202201227","title":"Impedance Spectroscopy on Hafnium Oxide‐Based Memristive Devices","year":2023,"lang":"en","type":"article","venue":"Advanced Electronic Materials","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Deutsche Forschungsgemeinschaft; Alexander von Humboldt-Stiftung","keywords":"Neuromorphic engineering; Dielectric spectroscopy; X-ray photoelectron spectroscopy; Materials science; Memristor; Electrical impedance; Optoelectronics; Oxide; Resistive random-access memory; Spectroscopy; Hafnium; Electrode; Nanotechnology; Electronic engineering; Electrical engineering; Computer science; Nuclear magnetic resonance; Chemistry; Artificial neural network; Physics; Physical chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002026783,0.0003275621,0.0003670834,0.0001253622,0.0001456192,0.00004071618,0.0002362942,0.00007357221,0.0001044876],"category_scores_gemma":[0.00004651138,0.000326077,0.00005313449,0.0003998993,0.00003108726,0.0001971423,0.00003190832,0.0002234673,0.0004885127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000206593,"about_ca_system_score_gemma":0.00003783163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002267278,"about_ca_topic_score_gemma":0.000007965858,"domain_scores_codex":[0.9980451,0.00004826331,0.0003299358,0.0003896765,0.0001830215,0.001004021],"domain_scores_gemma":[0.9992949,0.0001844151,0.00008297426,0.0003302342,0.00002891971,0.00007852407],"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":[0.00009492871,0.000007418495,0.00000392883,0.00007601393,0.00001678807,0.00001415127,0.00001728323,0.1012024,0.8963798,0.001093047,0.0001937838,0.0009004252],"study_design_scores_gemma":[0.0004571548,0.0001744918,0.0002374089,0.00007272745,0.00001061372,0.00000387034,0.00001786464,0.001441482,0.9901622,0.001665985,0.005405421,0.0003507816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932413,0.0002325701,0.003017146,0.00007238942,0.0006365263,0.0003129315,0.00002855459,0.001868514,0.0005900334],"genre_scores_gemma":[0.9984699,0.000186098,0.0005497467,0.0002190506,0.0001796447,0.00007522062,0.00005954138,0.0000872991,0.0001735062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09976096,"threshold_uncertainty_score":0.9999191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009413087511633108,"score_gpt":0.2602090469236949,"score_spread":0.2507959594120618,"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."}}