{"id":"W2750336372","doi":"10.1021/acsnano.7b04653","title":"Discovery of Enhanced Magnetoelectric Coupling through Electric Field Control of Two-Magnon Scattering within Distorted Nanostructures","year":2017,"lang":"en","type":"article","venue":"ACS Nano","topic":"Multiferroics and related materials","field":"Materials Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Condensed matter physics; Spintronics; Electric field; Magnon; Multiferroics; Ferromagnetic resonance; Scattering; Materials science; Spin pumping; Physics; Ferromagnetism; Magnetic field; Magnetization; Spin polarization; Spin Hall effect; Ferroelectricity; Optoelectronics; Optics; Dielectric","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":[0.00006931993,0.0001419689,0.0001132009,0.00005951513,0.000121234,0.0002236382,0.0001726185,0.000161693,0.0005454222],"category_scores_gemma":[0.0001346167,0.00009647777,0.00006242833,0.00004161987,0.0002712361,0.0002469057,0.0001897996,0.0002047207,0.00008367778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001308561,"about_ca_system_score_gemma":0.0000727622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001386755,"about_ca_topic_score_gemma":0.0003058661,"domain_scores_codex":[0.9999634,0.000005113782,0.000002126186,0.000008196229,0.00001191787,0.000009213467],"domain_scores_gemma":[0.9999269,0.00002183484,0.00001925891,0.000009310298,0.00001120982,0.00001136636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001946847,0.000006388598,0.0001079156,0.00002855527,0.00000172824,0.00003068561,0.00002380158,0.0001220445,0.997808,0.0008396464,0.00002082779,0.0009908122],"study_design_scores_gemma":[0.000009960504,0.00007457488,0.0009008797,0.000002615492,0.000003357776,0.00009316536,0.00003375957,0.003941767,0.9936754,0.0002778835,0.0009810332,0.000005584758],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929304,0.0003354724,0.004493824,0.0000863934,0.00002087031,0.000007243454,0.00001852297,0.00003567652,0.002071494],"genre_scores_gemma":[0.9978254,0.0001205945,0.001702907,0.00001163087,0.000003878431,0.000003312589,0.000009233978,0.000005126358,0.0003178591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005454222,"threshold_uncertainty_score":0.001824558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052562499639876,"score_gpt":0.2646381377903971,"score_spread":0.2541125127939984,"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."}}