{"id":"W4366146340","doi":"10.11159/icnnfc23.161","title":"Adsorption of Cations Using Graphene Oxide Loaded with Ionic Liquid: A Molecular Dynamic Simulation","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Recent Advances in Nanotechnology","topic":"Nanomaterials for catalytic reactions","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Graphene; Ionic liquid; Adsorption; Oxide; Molecular dynamics; Chemical engineering; Materials science; Ionic bonding; Ion; Nanotechnology; Chemistry; Physical chemistry; Computational chemistry; Organic chemistry; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002192894,0.0006227001,0.0009003073,0.0005669619,0.001037934,0.0008673985,0.001352672,0.002076632,0.003415477],"category_scores_gemma":[0.000712969,0.0004746488,0.001202561,0.0006999202,0.0007362489,0.0008549071,0.0006830475,0.0009644575,0.0002530883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171596,"about_ca_system_score_gemma":0.001329512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02172557,"about_ca_topic_score_gemma":0.0122066,"domain_scores_codex":[0.9998682,0.00002803326,0.000006050448,0.00002016031,0.00003263304,0.00004493677],"domain_scores_gemma":[0.9996322,0.0001825417,0.00003106589,0.00002666533,0.00007428564,0.00005320724],"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":[0.0001235799,0.000224166,0.001999668,0.000130854,0.00007367407,0.000158832,0.0000713331,0.9868503,0.003759175,0.003971126,0.0006110201,0.002026285],"study_design_scores_gemma":[0.00003022204,0.00003467261,0.0003187641,0.000006764227,0.00001023616,0.000007898768,0.0000195695,0.9982558,0.0004377281,0.0004824683,0.0003871133,0.0000087772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9446304,0.0007923968,0.02509315,0.001317315,0.0001885598,0.0001788638,0.001417727,0.000279826,0.02610179],"genre_scores_gemma":[0.9762042,0.0006226414,0.01768088,0.0002954261,0.00004937211,0.0004179794,0.001118588,0.00008245052,0.003528678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02172557,"threshold_uncertainty_score":0.04319823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074950049005914,"score_gpt":0.2790021998066386,"score_spread":0.2682526993165795,"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."}}