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Record W3024078178 · doi:10.1149/ma2020-01143mtgabs

The Crystallinity Effect of Manganese Dioxide for Durability of Rechargeable Zn-Air Battery

2020· article· en· W3024078178 on OpenAlexaff
Xiaoying Zheng, Alonso Moreno Zuria, Juan Carlos Abrego Martinez, N. Mohammadi, Mohamed Mohamedi

Bibliographic record

VenueECS Meeting Abstracts · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvanced battery technologies research
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsCrystallinityBattery (electricity)ManganeseMaterials scienceCathodeDurabilityChemical engineeringMetallurgyChemistryComposite materialPower (physics)Engineering

Abstract

fetched live from OpenAlex

Zn-air battery is of great interest in rechargeable batteries due to its low cost, environment-friendly and theoretically high energy density which is about 1086 Wh kg -1 [1]. The activity and durability of cathode are the bottleneck of the battery performance, which attribute to the sluggish kinetics of the oxygen reduction reaction (ORR) during discharging and oxygen evolution reaction (OER) during charging. Manganese dioxide (MnO 2 ), an abundant and valence-varied transitional metal oxide, has great potential as bifunctional air-cathode catalyst in Zn-air battery. Despite extensive research efforts have been devoted to MnO 2 for Zn-air battery, few disclose the relationship between crystallinity and battery durability. Herein, we present the synthesis and characterization of MnO 2 samples prepared in a simple beaker (BK) and samples synthesized via the hydrothermal method (HT). The ORR studies revealed respectively for BK-sample and HT-sample an electron number of 3.67-3.95 and 3.68-3.84 in the potential range of 0.4-0.8 V. Afterwards, the samples were evaluated for their performance in a homemade Zn-Air battery. The sample BK delivered a peak power density (42.8 mW cm -2 at an applied current density of 71.0 mA cm -2 ) on a par with the sample HT (41.6 mW cm -2 at 68.2 mA cm -2 ). Interestingly, even though both of the sample showed similar discharge and charge voltage during the initial few cycles, the as-prepared sample HT showed more stable cycling performance after long-term discharge-charge cycling, especially for the charging process. After 120 th cycle at current density of 2 mA cm -2 , the voltage gap of sample HT (1.12 V) is much lower than that of sample BK (1.32 V). The electrochemical impedance spectra (EIS) recorded before and after the cycling measurement exhibited comparable charge transfer resistance for the two as-prepared samples whereas smaller charge transfer resistance of sample HT after the cycle test. The superior cycling durability in sample HT might be ascribed to the better crystallinity of MnO 2 and less trend in collapse from the aspect of structure. References [1] Y. Li, H. Dai, Chemical Society Reviews, 43 (2014) 5257-5275.

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How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.005
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 score0.273
Threshold uncertainty score0.612

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.021
GPT teacher head0.266
Teacher spread0.245 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2020
Admission routes1
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