{"id":"W3182221871","doi":"10.1109/lawp.2021.3095469","title":"Arbitrary Wave Transformations with Huygens' Metasurfaces through Surface-Wave Optimization","year":2021,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wavefront; Optics; Physics; Aperture (computer memory); Lossless compression; Bandwidth (computing); Plane wave; Electromagnetic radiation; Surface wave; Power (physics); Surface (topology); Plane (geometry); Computer science; Acoustics; Geometry; Mathematics; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002877595,0.0002415613,0.0003413837,0.00004043208,0.0004172488,0.0001312451,0.0001978574,0.0001006789,0.002294978],"category_scores_gemma":[0.00001912657,0.0002259725,0.0001015334,0.0007380549,0.0001488378,0.0009515571,0.00005947442,0.0001082886,0.0001951166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005401072,"about_ca_system_score_gemma":0.0001716637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005663574,"about_ca_topic_score_gemma":0.00005282201,"domain_scores_codex":[0.9984096,0.0002032082,0.0002855118,0.0006036028,0.0001393985,0.0003587101],"domain_scores_gemma":[0.9987393,0.00008126099,0.0001778622,0.0005892449,0.0002783899,0.0001339676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004832482,0.0001163321,0.00006180911,0.00003446614,0.00005936335,0.00008199517,0.0003584129,0.6982088,0.2683626,0.03252383,0.0001312649,0.00001271272],"study_design_scores_gemma":[0.001431532,0.000103928,0.0002073741,0.00005119904,0.0005286752,0.00007641347,0.001709701,0.1494941,0.8369026,0.003395592,0.005359277,0.0007396438],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.720458,0.0001449638,0.2735844,0.0001470584,0.0001458213,0.0002401409,0.0001228942,0.000127497,0.005029251],"genre_scores_gemma":[0.9150085,0.0004831169,0.08307725,0.0001375561,0.00002100687,0.000002279228,0.0001193235,0.00002648483,0.001124451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5685399,"threshold_uncertainty_score":0.9986171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09158689332999102,"score_gpt":0.1846240978543064,"score_spread":0.0930372045243154,"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."}}