{"id":"W4244580239","doi":"10.1115/1.4046237","title":"Stress-Constrained Design of Functionally Graded Lattice Structures With Spline-Based Dimensionality Reduction","year":2020,"lang":"en","type":"article","venue":"Journal of Mechanical Design","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Autodesk (Canada)","funders":"Defense Advanced Research Projects Agency; Lawrence Livermore National Laboratory; U.S. Department of Energy","keywords":"Homogenization (climate); Dimensionality reduction; Stiffness; Spline (mechanical); Mathematical optimization; Lattice (music); Computer science; Curse of dimensionality; Structural engineering; Minification; Algorithm; Mathematics; Applied mathematics; Engineering; Artificial intelligence; Physics","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":[0.0005002865,0.0003792023,0.0005379638,0.0003828089,0.0001637581,0.0004921695,0.0005433995,0.0004915236,0.0009032213],"category_scores_gemma":[0.0007884954,0.0002597066,0.0003557831,0.0002154059,0.0004318243,0.000308401,0.0005190908,0.0004141104,0.0002007429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004092874,"about_ca_system_score_gemma":0.000647009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007263311,"about_ca_topic_score_gemma":0.00110286,"domain_scores_codex":[0.9997918,0.00007169208,0.000009300362,0.00001998378,0.00008706285,0.00002029339],"domain_scores_gemma":[0.9997376,0.00008647848,0.00004594121,0.00003923909,0.0000691405,0.00002175515],"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":[0.00003187578,0.00004398853,0.000316507,0.0000404869,0.0000100841,0.00003355759,0.00003222238,0.9623148,0.01541383,0.007904918,0.0001888802,0.01366884],"study_design_scores_gemma":[0.000004454495,0.00003185529,0.0000487243,0.000002660291,0.000001432886,0.000006746933,0.000005497089,0.9972612,0.001368874,0.001007805,0.000257886,0.000002870325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1459456,0.0001139621,0.8484624,0.0001050184,0.00002537957,0.00005124449,0.00004891126,0.0001965916,0.005050848],"genre_scores_gemma":[0.8193222,0.00007407967,0.1789941,0.00003052545,0.000006276531,0.00009995211,0.00005227583,0.00005054768,0.001370024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009032213,"threshold_uncertainty_score":0.003021598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03046188912713674,"score_gpt":0.2230149838877082,"score_spread":0.1925530947605715,"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."}}