{"id":"W2998242779","doi":"10.2514/6.2020-2263","title":"Topology Optimization of Heat Sinks for High Efficiency Electronics Employing Simplified Convection Model","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Heat sink; Forced convection; Thermal conduction; Heat transfer; Convection; Mechanical engineering; Topology optimization; Electronics; Electronic component; Natural convection; Heat transfer coefficient; Electronics cooling; Thermal resistance; Computer science; Topology (electrical circuits); Mechanics; Materials science; Engineering; Thermodynamics; Physics; Electrical engineering; Finite element method","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":[0.0003532648,0.0005783695,0.0005550687,0.0004546118,0.0001980705,0.0006141051,0.0004571521,0.0005505843,0.001847902],"category_scores_gemma":[0.0006420381,0.0003272559,0.0006532597,0.0002272602,0.000382176,0.0003650243,0.0003318783,0.0003309014,0.0002793872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005074798,"about_ca_system_score_gemma":0.0007121307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00120721,"about_ca_topic_score_gemma":0.001412693,"domain_scores_codex":[0.9998783,0.00003323546,0.000004421285,0.00001562523,0.0000523764,0.00001604641],"domain_scores_gemma":[0.9998317,0.00008190458,0.00002994367,0.00001696173,0.00003101184,0.000008537845],"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":[0.00001254726,0.0000102625,0.0001299385,0.00004238417,0.000006132788,0.00002161644,0.000008513598,0.9909267,0.004830529,0.001491497,0.00008867763,0.002431152],"study_design_scores_gemma":[0.000005441679,0.00002699303,0.0000935944,0.000002960763,0.000004306435,0.00000819921,0.000003796351,0.9977328,0.001277517,0.000419786,0.0004225602,0.000002174853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2499411,0.0006509515,0.7266746,0.0002079781,0.00005526466,0.0001715716,0.0002470875,0.0005324468,0.02151913],"genre_scores_gemma":[0.9044237,0.0003579508,0.09013191,0.00002923007,0.00001172804,0.0002660151,0.0001859764,0.0001057289,0.00448768],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001847902,"threshold_uncertainty_score":0.006181836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008879376161513694,"score_gpt":0.2166155311153403,"score_spread":0.2077361549538266,"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."}}