{"id":"W4408214682","doi":"10.1364/oe.554821","title":"Broadband, high-linearity TFLN electro-optic modulator for integrated microwave photonics using reconfigurable dual-parallel modulation","year":2025,"lang":"en","type":"article","venue":"Optics Express","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"National Key Research and Development Program of China; China Postdoctoral Science Foundation; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Optics; Broadband; Electro-optic modulator; Modulation (music); Linearity; Photonics; Materials science; Optical modulator; Microwave; Phase modulation; Optoelectronics; Physics; Telecommunications; Phase noise; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002389468,0.0002997286,0.0004151969,0.0001631089,0.0001791315,0.0001132421,0.0003312996,0.0002268842,0.00001494078],"category_scores_gemma":[0.00008379879,0.0003428551,0.0001060927,0.0003526505,0.00004350599,0.0002343082,0.00005057161,0.0003393347,0.00000738519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004260757,"about_ca_system_score_gemma":0.000100369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008050313,"about_ca_topic_score_gemma":0.00002077266,"domain_scores_codex":[0.9984443,0.00005062927,0.0005891914,0.0003340141,0.0001452267,0.0004366742],"domain_scores_gemma":[0.998407,0.0001656118,0.0001202261,0.0009373327,0.0002907749,0.00007902314],"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":[0.00003833714,0.00003081015,0.00001317015,0.0001361936,0.00009210742,7.006524e-7,0.0001084044,0.5712395,0.4239646,0.003638384,0.0001865681,0.0005511949],"study_design_scores_gemma":[0.0008107027,0.00001792431,0.00001841673,0.0001437853,0.00003874993,0.000005860748,0.00006088732,0.8327624,0.1571257,0.001708255,0.007030395,0.0002769156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4008746,0.0008642881,0.5943637,0.00003111822,0.0007071939,0.0009887078,0.00006363557,0.0003300498,0.001776724],"genre_scores_gemma":[0.8097455,0.00009911392,0.1889959,0.00002371282,0.00003406673,0.0001341907,0.0001216662,0.00006491924,0.0007809189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4088709,"threshold_uncertainty_score":0.9999024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0195937266083794,"score_gpt":0.2634759516407988,"score_spread":0.2438822250324194,"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."}}