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Record W4283157514 · doi:10.1002/batt.202200190

An Investigation into the Charge Storage Mechanism and Cycling Performance of Mn<sub>2</sub>O<sub>3</sub> as the Cathode Material for Zinc‐Ion Batteries

2022· article· en· W4283157514 on OpenAlex
Qingping Hou, Douglas G. Ivey

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

VenueBatteries & Supercaps · 2022
Typearticle
Languageen
FieldEngineering
TopicAdvanced battery technologies research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCalcinationMaterials scienceElectrochemistryCathodeZincZinc hydroxideHydroxideChemical engineeringPrecipitationIonDecompositionEnergy storageElectrodeInorganic chemistryMetallurgyChemistryCatalysisPhysical chemistry

Abstract

fetched live from OpenAlex

Abstract In this work, highly crystalline, nanosize Mn 2 O 3 powder is synthesized via a precipitation and calcination method for utilization as the cathode in aqueous zinc‐ion batteries (aZIBs). The resultant electrodes are characterized using electrochemical and microstructural methods to determine the mechanisms associated with charge and discharge. In addition, a few quantitative testing methods are used to investigate cycling performance stability. A specific capacity of 211 mAh g −1 is retained after 200 cycles at a current density of 500 mA g −1 with 93 % capacity retention. Also, 73 % capacity retention can be reached after 1100 cycles at 2000 mA g −1 . The energy storage mechanism associated with Mn 2 O 3 is for the first time proposed to be a chemical conversion reaction type with two steps involving the formation/decomposition of ZnMn 2 O 4 (hetaerolite) and zinc sulphate hydroxide (ZHS). Also, capacity fading is directly linked to the incomplete reversibility of the chemical conversion reaction mechanism.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.009
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.012
GPT teacher head0.232
Teacher spread0.220 · 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