{"id":"W4247403728","doi":"10.1002/ange.202007224","title":"Non‐Lithography Hydrodynamic Printing of Micro/Nanostructures on Curved Surfaces","year":2020,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Nanomaterials and Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"K. C. Wong Education Foundation; Youth Innovation Promotion Association of the Chinese Academy of Sciences; National Natural Science Foundation of China; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Microscale chemistry; Nanotechnology; Materials science; Nanostructure; Wafer; Lithography; Lattice Boltzmann methods; Template; Microfabrication; Transfer printing; Nanolithography; Microfluidics; Optoelectronics; Fabrication; Physics; Composite material","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":[0.0001556556,0.0003410552,0.0002238774,0.00023198,0.0001619967,0.0003345496,0.0004353425,0.0002780821,0.001831582],"category_scores_gemma":[0.0003091956,0.0003112618,0.0003788868,0.0001565723,0.0003547499,0.000272541,0.0004178745,0.0004591897,0.0009415304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003519201,"about_ca_system_score_gemma":0.0001855738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003604158,"about_ca_topic_score_gemma":0.0007317237,"domain_scores_codex":[0.9997416,0.0000284895,0.00001764951,0.00005899954,0.0001130858,0.00004012881],"domain_scores_gemma":[0.9997389,0.00007198692,0.00004710866,0.00009101492,0.00003400246,0.00001702574],"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":[0.00001827672,0.00001455409,0.00006077209,0.0000443845,0.000005886951,0.00008654532,0.00001684801,0.0009530929,0.9941635,0.0006974599,0.0001385908,0.003800124],"study_design_scores_gemma":[0.000005420523,0.00003110684,0.0002828106,0.000002072618,0.000002389633,0.00006652289,0.000004845862,0.00412213,0.9942179,0.0001485959,0.001110314,0.00000596307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7693378,0.001470772,0.2108119,0.0002855069,0.0002442889,0.0001517717,0.0004796681,0.002294008,0.01492432],"genre_scores_gemma":[0.8876562,0.0005363026,0.1039092,0.0001136811,0.00002368377,0.0000594881,0.0002781113,0.0002306701,0.007192675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001831582,"threshold_uncertainty_score":0.006127298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146550268367153,"score_gpt":0.2010532731758942,"score_spread":0.1895877704922226,"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."}}