{"id":"W4409445324","doi":"10.1007/s10915-025-02850-z","title":"Informed Normalized Gradient Flow Method for Parameterized Schrödinger Operators: A Case Study on Photonic Graphene","year":2025,"lang":"en","type":"article","venue":"Journal of Scientific Computing","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Carleton University","funders":"","keywords":"Parameterized complexity; Mathematics; Graphene; Flow (mathematics); Balanced flow; Schrödinger's cat; Mathematical analysis; Geometry; Quantum mechanics; Combinatorics; 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":[0.000809938,0.0003901309,0.0005238092,0.0003401392,0.0006154469,0.0008055396,0.00078624,0.001596085,0.001959956],"category_scores_gemma":[0.001777462,0.0001858665,0.0004385232,0.0004188117,0.0009107647,0.0009615893,0.0007946815,0.0008782896,0.0001558777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000871168,"about_ca_system_score_gemma":0.00119527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007416418,"about_ca_topic_score_gemma":0.00697076,"domain_scores_codex":[0.9998156,0.0001000505,0.000005411764,0.00001919559,0.0000414736,0.00001829197],"domain_scores_gemma":[0.9992332,0.0005647613,0.00002980942,0.00005191997,0.00008763606,0.00003262383],"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":[0.0001007706,0.0001304246,0.0004381929,0.00008273085,0.0000216967,0.0003034032,0.0001267147,0.8844547,0.003793913,0.08878335,0.001121598,0.02064242],"study_design_scores_gemma":[0.000005663263,0.00000998176,0.00002906186,0.000002104357,0.000001627952,0.00001550985,0.000008275122,0.9938491,0.0003325599,0.005537979,0.0002045847,0.000003551183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1671529,0.0003765561,0.8175802,0.0009397724,0.00005276267,0.0001608829,0.0001378499,0.0004501844,0.01314885],"genre_scores_gemma":[0.7850137,0.0001485792,0.2075084,0.00007468468,0.00001803798,0.0001073711,0.00009970362,0.0001194891,0.00691014],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007416418,"threshold_uncertainty_score":0.01474655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03423342604364035,"score_gpt":0.3480933730604174,"score_spread":0.3138599470167771,"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."}}