{"id":"W2595262179","doi":"10.1063/1.4985055","title":"Thermal memristor and neuromorphic networks for manipulating heat flow","year":2017,"lang":"en","type":"article","venue":"AIP Advances","topic":"Thermal Radiation and Cooling Technologies","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Neuromorphic engineering; Memristor; Resistor; Capacitor; Inductor; Thermal; Materials science; Electronics; Electrical element; Electrical engineering; Thermal state; Solid-state; Voltage; Electronic engineering; Computer science; Engineering; Physics; Engineering physics; Artificial neural network; Artificial intelligence","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":[0.0001006242,0.0001935831,0.0001173092,0.0001686294,0.000161779,0.0003458041,0.0003252792,0.0003604751,0.002725123],"category_scores_gemma":[0.0002483217,0.00008920546,0.0001373863,0.0001612074,0.0004744632,0.0006942367,0.0002677303,0.0004469244,0.0004458767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002296457,"about_ca_system_score_gemma":0.0001173735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001093509,"about_ca_topic_score_gemma":0.0002316464,"domain_scores_codex":[0.9999385,0.00001122769,0.000002755192,0.00001589876,0.00002353228,0.000008209026],"domain_scores_gemma":[0.9999574,0.00001253763,0.00001059051,0.00000697196,0.000006993157,0.00000539376],"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":[0.0001338412,0.00008876534,0.0003471563,0.0003424411,0.00002997741,0.0003572845,0.0001341697,0.009513826,0.7426645,0.1526043,0.002572475,0.09121116],"study_design_scores_gemma":[0.00005200275,0.0003056017,0.001324231,0.00009064884,0.00004256152,0.0009047796,0.00009645976,0.1107663,0.7485484,0.05728957,0.08053043,0.0000489534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5206656,0.02634495,0.3270959,0.004077791,0.001611383,0.0001425111,0.0002797538,0.001532958,0.1182491],"genre_scores_gemma":[0.931793,0.003440096,0.04437316,0.0004276374,0.0001675831,0.00006567645,0.00005553503,0.00005603463,0.01962122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002725123,"threshold_uncertainty_score":0.009116471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02261680769120217,"score_gpt":0.2380978351191818,"score_spread":0.2154810274279796,"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."}}