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Record W2781030256 · doi:10.14447/jnmes.v19i3.306

Synthesis of Na2MnFe(CN)6 and its Application as Cathode Material for Aqueous Rechargeable Sodium-ion Battery

2016· article· en· W2781030256 on OpenAlexvenueno aff
Jianzhi Sun, Dong Yan, Chunyan Kong

Bibliographic record

VenueJournal of New Materials for Electrochemical Systems · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvanced battery technologies research
Canadian institutionsnot available
Fundersnot available
KeywordsPrussian blueAqueous solutionCathodeElectrochemistryBattery (electricity)SodiumInorganic chemistryIonPotassium-ion batteryMaterials sciencePrecipitationChemistryChemical engineeringElectrodeLithium vanadium phosphate batteryMetallurgyOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

Prussian Blue type Na2MnFe(CN)6 was prepared by direct precipitation method and a subsequent drying procedure as a cath-ode material for aqueous rechargeable sodium-ion batteries. XRD patterns showed that Na2MnFe(CN)6 has a typical Prussian Blue struc-ture with space group Fm3m. Na2MnFe(CN)6 presents good electrochemical behaviors at 10 mAg-1 discharge current density with specific capacity 73.1 mAhg-1 after 30 cycles. The results show that Na2MnFe(CN)6 could be a potential cathode material for aqueous Sodium-ion battery.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.060
Threshold uncertainty score0.557

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.000
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 head0.016
GPT teacher head0.265
Teacher spread0.249 · 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

Citations10
Published2016
Admission routes1
Has abstractyes

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