{"id":"W7131120724","doi":"10.1109/csrswtc67757.2025.11383971","title":"Recent Advances in Acceleration Algorithms of EM Topology Optimization for Multi-Iris Waveguide Structures","year":2025,"lang":"","type":"article","venue":"","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Key Research and Development Program of China","keywords":"Topology (electrical circuits); Topology optimization; Computation; Acceleration; Matrix (chemical analysis); Variable (mathematics); Degrees of freedom (physics and chemistry); Optimal design","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":[0.0006999723,0.0008979694,0.0006520912,0.0006805651,0.0002746625,0.0006501315,0.0008711606,0.0006087515,0.004506959],"category_scores_gemma":[0.001925778,0.0004047679,0.0007055723,0.0008144132,0.0004036918,0.001053113,0.0008385425,0.001409239,0.001299864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004910314,"about_ca_system_score_gemma":0.0005275098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009064698,"about_ca_topic_score_gemma":0.001333783,"domain_scores_codex":[0.9996558,0.00009231859,0.00002090362,0.00004368813,0.0001647217,0.00002265315],"domain_scores_gemma":[0.9991615,0.0004301931,0.00006887421,0.0001244347,0.0001866568,0.00002841283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001119851,0.00008660748,0.0007513305,0.0005714977,0.00007594033,0.00008635758,0.0001745524,0.4017718,0.01976164,0.08860648,0.004607705,0.483394],"study_design_scores_gemma":[0.00001416089,0.00003503738,0.000133226,0.00002689245,0.000009406705,0.00006546544,0.00001495991,0.9696228,0.004981472,0.01087397,0.0142108,0.0000118111],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003216845,0.001029601,0.991527,0.0001148065,0.00004403349,0.00001753136,0.0000216289,0.0003985114,0.003629979],"genre_scores_gemma":[0.07611869,0.002363279,0.9171672,0.0001012699,0.00008824162,0.0001100357,0.0001793424,0.000394025,0.003477829],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004506959,"threshold_uncertainty_score":0.01507723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05135986214013804,"score_gpt":0.3665860616524873,"score_spread":0.3152261995123493,"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."}}