{"id":"W4405892017","doi":"10.1039/d4ee04847d","title":"Designing a bridging solvation structure using recessive solvents for high energy density aqueous zinc-ion batteries with 88% depth of discharge zinc rechargeability","year":2024,"lang":"en","type":"article","venue":"Energy & Environmental Science","topic":"Advanced battery technologies research","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Vacuum Interconnected Nanotech Workstation, Suzhou Institute of Nano-Tech and Nano-Bionics; National Natural Science Foundation of China","keywords":"Solvation; Zinc; Bridging (networking); Aqueous solution; Materials science; Energy density; Ion; Battery (electricity); Inorganic chemistry; Chemistry; Physical chemistry; Metallurgy; Organic chemistry; Engineering physics; Computer science; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002117352,0.0002426045,0.0002201784,0.0001997744,0.0002977459,0.00007798768,0.0003814163,0.00009708332,0.00003284698],"category_scores_gemma":[0.00003590824,0.0002139426,0.00004268435,0.0004771503,0.000713672,0.0008534801,0.0002313357,0.0001678519,8.371466e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008094776,"about_ca_system_score_gemma":0.00004586787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008569628,"about_ca_topic_score_gemma":0.00007015871,"domain_scores_codex":[0.998077,0.00002854169,0.0002635965,0.0005842685,0.0005127586,0.000533799],"domain_scores_gemma":[0.9994074,0.00008556752,0.00007312966,0.0003402955,0.00001466936,0.00007889992],"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":[0.00002426049,0.00001663514,0.0009917096,0.00005019706,0.00001873655,0.00000755623,0.00009112634,0.02168676,0.9438711,0.0008737729,0.000009194527,0.03235889],"study_design_scores_gemma":[0.0001301783,0.00009421635,0.001104289,0.0001090936,0.00001268095,0.00002129742,0.0001096495,0.04482882,0.9507308,0.002495139,0.0001194091,0.000244455],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5493761,0.0001363495,0.4500519,0.0000351431,0.0001376471,0.00008834784,0.00003439056,0.0001290126,0.00001114353],"genre_scores_gemma":[0.9753289,0.00007137784,0.02439468,0.00002071479,0.00004795525,0.00003552647,0.00003634525,0.0000425226,0.0000219669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4259529,"threshold_uncertainty_score":0.8724326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212860835254432,"score_gpt":0.2381410165937999,"score_spread":0.2260124082412555,"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."}}