{"id":"W4413114452","doi":"10.1016/j.mseb.2025.118683","title":"N-doped HfOx-based memristors for high-density neuromorphic systems: Crystallization and conductive filament growth","year":2025,"lang":"en","type":"article","venue":"Materials Science and Engineering B","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Crystallization; Electrical conductor; Doping; Materials science; Protein filament; Memristor; Neuromorphic engineering; Nanotechnology; Optoelectronics; Chemical engineering; Composite material; Computer science; Electronic engineering; Artificial intelligence; Engineering; Artificial neural network","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":[0.000098718,0.0001356325,0.0001444713,0.00008474532,0.0002451749,0.0002758171,0.0003143894,0.0002500156,0.00063501],"category_scores_gemma":[0.0002079352,0.0001008439,0.00009841328,0.00009063828,0.0001776794,0.0004996891,0.0001946188,0.0001868613,0.0001124557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005712678,"about_ca_system_score_gemma":0.0002730286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002294969,"about_ca_topic_score_gemma":0.004388708,"domain_scores_codex":[0.9999653,0.000002464672,0.000001823267,0.000009916237,0.0000116897,0.000008884577],"domain_scores_gemma":[0.9999456,0.00001457447,0.00001535512,0.000007106275,0.000009061965,0.000008293558],"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":[0.00009955976,0.00003088735,0.000330931,0.00009831093,0.000005528516,0.00007081192,0.00005100503,0.0006624186,0.992231,0.001589548,0.000475927,0.004354011],"study_design_scores_gemma":[0.00001858492,0.00009027536,0.0009659168,0.00001695342,0.000006427924,0.00007289092,0.00003018576,0.01148745,0.9852291,0.0002475564,0.001826271,0.000008369007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861978,0.001174396,0.006353004,0.0001986833,0.00007944508,0.00003044148,0.000149405,0.0001039277,0.005712897],"genre_scores_gemma":[0.9919893,0.0004567961,0.005250468,0.00002528746,0.00001172241,0.00001976157,0.00006929792,0.00003256901,0.002144807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002294969,"threshold_uncertainty_score":0.004563212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01477157251742534,"score_gpt":0.208225610279944,"score_spread":0.1934540377625186,"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."}}