{"id":"W4224076966","doi":"10.1016/j.apsusc.2022.153424","title":"Potential anodic application of 2D h-AlC for Li and Na-ions batteries","year":2022,"lang":"en","type":"article","venue":"Applied Surface Science","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Science and Engineering Research Board; Uniwersytet Warszawski; Interdyscyplinarne Centrum Modelowania Matematycznego i Komputerowego UW; Institut de Cardiologie de Montréal; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Monolayer; Anode; Materials science; Battery (electricity); Open-circuit voltage; Ion; Electrochemistry; Thermal diffusivity; Lithium (medication); Adsorption; Graphite; Density functional theory; Diffusion; Chemical engineering; Nanotechnology; Analytical Chemistry (journal); Chemistry; Physical chemistry; Voltage; Composite material; Computational chemistry; Organic chemistry; Thermodynamics; Electrode; Electrical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001346167,0.0002874651,0.0002564858,0.0002089492,0.000241725,0.0009470008,0.0005013823,0.000718788,0.003626307],"category_scores_gemma":[0.0001452217,0.0001455723,0.0002978508,0.0001925437,0.0002351986,0.0005620983,0.0004400214,0.0002869153,0.0008861417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004184886,"about_ca_system_score_gemma":0.0001728598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006295326,"about_ca_topic_score_gemma":0.001473455,"domain_scores_codex":[0.999907,0.00001061613,0.000004533078,0.00001555251,0.00003614987,0.00002617241],"domain_scores_gemma":[0.999961,0.000007587647,0.000003293242,0.000007493143,0.00001363499,0.000006919735],"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":[0.0002437014,0.00008634671,0.0003179398,0.0004421017,0.00002677063,0.0003057099,0.00006782739,0.0006177966,0.9761271,0.002873901,0.001119521,0.0177713],"study_design_scores_gemma":[0.00004099621,0.0002912613,0.0006671515,0.0000181575,0.00002682885,0.0002260946,0.0001179076,0.005061616,0.9585929,0.0007920346,0.03414558,0.00001939494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9176751,0.01627056,0.009074034,0.001391035,0.0007211803,0.0001016805,0.0006558602,0.0003927279,0.05371783],"genre_scores_gemma":[0.9777828,0.004064617,0.004574129,0.0002409231,0.00007765141,0.00003500928,0.0002220304,0.00002911461,0.01297379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003626307,"threshold_uncertainty_score":0.01213121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008536453746822296,"score_gpt":0.2361387528199411,"score_spread":0.2276022990731188,"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."}}