{"id":"W7117293648","doi":"10.2139/ssrn.5970955","title":"Random Voronoi Lattice Design and Optimization with Reinforcement Learning","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Voronoi diagram; Lattice (music); Reinforcement learning; Isotropy; Finite element method; Topology optimization; Range (aeronautics); Modularity (biology)","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":[0.00234331,0.00070694,0.001719552,0.001007308,0.0004772796,0.001543286,0.001710444,0.001869578,0.003952827],"category_scores_gemma":[0.01174324,0.001036586,0.0006764219,0.0009007195,0.00164826,0.002015606,0.002166808,0.001385188,0.0005676865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001121494,"about_ca_system_score_gemma":0.001186016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002681786,"about_ca_topic_score_gemma":0.002353458,"domain_scores_codex":[0.9987704,0.0006852951,0.00003740548,0.0001681507,0.0002564141,0.00008231517],"domain_scores_gemma":[0.9944451,0.004195994,0.0003257092,0.0002636602,0.0005450504,0.0002244173],"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":[0.00006334822,0.00003042105,0.0002333083,0.00005636979,0.00002057102,0.00002075185,0.00002035177,0.9528334,0.00043562,0.03108713,0.0007001301,0.01449863],"study_design_scores_gemma":[0.000009794175,0.00001033134,0.0000119993,0.000003152841,0.000001756888,0.000004531236,0.000002076814,0.989258,0.0000837255,0.01043976,0.0001726667,0.00000225748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006989013,0.0001997507,0.9908022,0.0001721986,0.00004096963,0.00003273206,0.00002281125,0.00006718336,0.001673154],"genre_scores_gemma":[0.5703107,0.000384806,0.4221563,0.0001710277,0.0001380029,0.0003273932,0.000134685,0.0001770982,0.006199936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003952827,"threshold_uncertainty_score":0.01322353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005363838653349129,"score_gpt":0.2069926505190835,"score_spread":0.2016288118657344,"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."}}