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Record W4392704920 · doi:10.1002/anie.202401974

Steric‐hindrance Effect Tuned Ion Solvation Enabling High Performance Aqueous Zinc Ion Batteries

2024· article· en· W4392704920 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAngewandte Chemie International Edition · 2024
Typearticle
Languageen
FieldEngineering
TopicAdvanced battery technologies research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSteric effectsSolvationAqueous solutionIonChemistryZincInorganic chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Despite many additives have been reported for aqueous zinc ion batteries, steric‐hindrance effect of additives and its correlation with Zn 2+ solvation structure have been rarely reported. Herein, large‐sized sucrose biomolecule is selected as a paradigm additive, and steric‐hindrance electrolytes (STEs) are developed to investigate the steric‐hindrance effect for solvation structure regulation. Sucrose molecules do not participate in Zn 2+ solvation shell, but significantly homogenize the distribution of solvated Zn 2+ and enlarge Zn 2+ solvation shell with weakened Zn 2+ −H 2 O interaction due to the steric‐hindrance effect. More importantly, STEs afford the water‐shielding electric double layer and in situ construct the organic and inorganic hybrid solid electrolyte interface, which effectively boost Zn anode reversibility. Remarkably, Zn//NVO battery presents high capacity of 3.9 mAh ⋅ cm −2 with long cycling stability for over 650 cycles at lean electrolyte of 4.5 μL ⋅ mg −1 and low N/P ratio of 1.5, and the stable operation at wide temperature (−20 °C~+40 °C).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.891

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.254
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it