{"id":"W4411264226","doi":"10.1016/j.seppur.2025.133996","title":"Multi-objective performance optimization of fuel cell grade hydrogen purification by multi-layered pressure swing adsorption systems with novel combination of adsorbents","year":2025,"lang":"en","type":"article","venue":"Separation and Purification Technology","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Science Foundation of Hubei Province; National Natural Science Foundation of China","keywords":"Pressure swing adsorption; Adsorption; Swing; Hydrogen; Chemical engineering; Hydrogen purifier; Hydrogen fuel; Vacuum swing adsorption; Chemistry; Materials science; Chromatography; Process engineering; Engineering; Organic chemistry; Mechanical engineering; Hydrogen production","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":[0.0005009465,0.0007236852,0.0007229187,0.0004038764,0.0002893683,0.0008004569,0.0005808336,0.000815959,0.0006588107],"category_scores_gemma":[0.0004374937,0.0003696125,0.0005643807,0.0003131653,0.0002459208,0.0003823697,0.0005565012,0.0004365757,0.00008575947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005769444,"about_ca_system_score_gemma":0.0006180934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003749556,"about_ca_topic_score_gemma":0.00405789,"domain_scores_codex":[0.9998409,0.00003474098,0.000009242901,0.00002508026,0.0000513771,0.00003857406],"domain_scores_gemma":[0.9998399,0.00007250876,0.00002438427,0.000006397909,0.00003825888,0.00001847011],"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":[0.0003158209,0.0003781416,0.001082491,0.0002078381,0.0001300852,0.00008721288,0.00002626567,0.9249026,0.06009274,0.0004923622,0.0001556386,0.01212886],"study_design_scores_gemma":[0.00001922852,0.0001895786,0.000471523,0.000002242311,0.00002262076,0.000006360684,0.0000113115,0.9884642,0.0106657,0.00005894186,0.0000823325,0.000006022232],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565054,0.0006482797,0.03999029,0.0001099256,0.00002263016,0.00003619132,0.00006935667,0.00007633696,0.002541743],"genre_scores_gemma":[0.9939056,0.0001158425,0.005279815,0.00001417184,0.000003533924,0.00002890946,0.00003479134,0.000006217172,0.000610984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003749556,"threshold_uncertainty_score":0.007455468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009775483114518126,"score_gpt":0.2281450423223892,"score_spread":0.218369559207871,"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."}}