{"id":"W4210635621","doi":"10.1002/anie.202116560","title":"Ultrafast Metal Electrodeposition Revealed by In Situ Optical Imaging and Theoretical Modeling towards Fast‐Charging Zn Battery Chemistry","year":2022,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced battery technologies research","field":"Engineering","cited_by":243,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Argonne National Laboratory; Office of Science; Wuhan National Laboratory for Optoelectronics; China Postdoctoral Science Foundation; Huazhong University of Science and Technology; University of Chicago; Office of Energy Efficiency and Renewable Energy; Canada Excellence Research Chairs, Government of Canada; U.S. Department of Energy","keywords":"Faraday efficiency; Anode; Battery (electricity); Electrolyte; Metal; Aqueous solution; Electrochemistry; Electrode; Stripping (fiber); Zinc; Chemistry; Diffusion; Chemical engineering; Analytical Chemistry (journal); Materials science; Metallurgy; Thermodynamics; Physical chemistry; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002028267,0.0001710311,0.000154467,0.0001281138,0.00008890082,0.0000551789,0.0002383154,0.00006391692,0.0003080078],"category_scores_gemma":[0.00008381356,0.0002016995,0.00004532607,0.0001603263,0.00009508352,0.0003402707,0.0001726158,0.000655123,0.000002777144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005542471,"about_ca_system_score_gemma":0.00001502772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000400688,"about_ca_topic_score_gemma":6.950919e-7,"domain_scores_codex":[0.9986266,0.00001656183,0.0002607417,0.0003128563,0.0004560388,0.0003272348],"domain_scores_gemma":[0.9996779,0.00005936536,0.00002904652,0.0001257777,0.00005315379,0.00005473191],"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":[0.00003510201,0.00004188076,0.0001515705,0.00003256567,0.00002770115,0.000031875,0.0000565318,0.007477027,0.9887999,0.0002668774,0.0005348804,0.002544089],"study_design_scores_gemma":[0.0003802848,0.00001219077,0.00005339262,0.00002853274,0.000007140382,0.0001183082,0.0002385485,0.1402202,0.8567553,0.001859668,0.0001411685,0.0001852029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8643259,0.0002553581,0.1278351,0.001970725,0.0003484777,0.0001486891,0.0001048863,0.0003458132,0.004664999],"genre_scores_gemma":[0.9981177,0.000147557,0.0004798142,0.0001003075,0.0002103883,0.0001573813,0.0007143881,0.00003493965,0.00003746188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1337918,"threshold_uncertainty_score":0.8225066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006386568993617741,"score_gpt":0.2387414791683528,"score_spread":0.2323549101747351,"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."}}