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Record W4378376889 · doi:10.1149/1945-7111/acd91e

Hydrothermal Synthesis of Special Cubic Form MnO<sub>2</sub> and MnCO<sub>3</sub> Composite Material for Zinc Ion Battery and its Electrochemical Performance Test

2023· article· en· W4378376889 on OpenAlexaff
Ling Li, Jiyao Zhou, Xinbin Pei, Yanwei Zhang

Bibliographic record

VenueJournal of The Electrochemical Society · 2023
Typearticle
Languageen
FieldEngineering
TopicAdvanced battery technologies research
Canadian institutionsInternational Development Research Centre
Fundersnot available
KeywordsX-ray photoelectron spectroscopyHydrothermal circulationMaterials scienceManganeseCalcinationElectrochemistryHydrothermal synthesisRaman spectroscopyValence (chemistry)MineralogyAnalytical Chemistry (journal)Chemical engineeringMetallurgyElectrodeChemistryPhysical chemistry

Abstract

fetched live from OpenAlex

In this paper, the aqueous zinc ion battery cathode material composed of manganese dioxide and manganese carbonate were synthesized by hydrothermal method. By optimizing the temperature and time in both hydrothermal and calcination process, the optimal synthesis conditions were discovered. Then, in order to survey and analysis the characteristics of the material, XRD, SEM, EDS and XPS tests were conducted. It can be seen from XRD test that the main crystal structure is MnO 2 and MnCO 3 , and no other obvious impurity peaks are found. In the SEM test, it can be seen that the main shape of the material is regular cube, and there is triangular pyramidal bulge on the surface of the cube, which can increase the surface area of the material. As can be seen from EDS and element distribution diagram, Mn, O and C elements are evenly distributed. The XPS test shows that the valence states of the synthesized materials are consistent with those of MnO 2 and MnCO 3 . According to the infrared test and Raman test, the characteristic peak vibration of the synthesized material is also consistent with those of MnO 2 and MnCO 3 , indicating that the composite of MnO 2 and MnCO 3 with high electrochemical stability has been synthesized by hydrothermal method.

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.

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)0.000
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 score0.009
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.007
GPT teacher head0.215
Teacher spread0.208 · 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".

Quick stats

Citations3
Published2023
Admission routes1
Has abstractyes

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