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Record W2158411350 · doi:10.1002/aenm.201200825

Na<sub>4‐α</sub>M<sub>2+α/2</sub>(P<sub>2</sub>O<sub>7</sub>)<sub>2</sub> (2/3 ≤ α ≤ 7/8, M = Fe, Fe<sub>0.5</sub>Mn<sub>0.5</sub>, Mn): A Promising Sodium Ion Cathode for Na‐ion Batteries

2013· article· en· W2158411350 on OpenAlexaff
Kwang‐Ho Ha, Seung Hee Woo, Duckgyun Mok, Nam‐Soon Choi, Yuwon Park, Seung M. Oh, Youngshol Kim, Jeongsoo Kim, Junesoo Lee, Linda F. Nazar, Kyu Tae Lee

Bibliographic record

VenueAdvanced Energy Materials · 2013
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMaterials scienceStoichiometryPhase (matter)IonAnalytical Chemistry (journal)ManganeseKineticsCrystallographyCathodePhysical chemistryChemistryMetallurgyPhysics

Abstract

fetched live from OpenAlex

Abstract A new polyanion‐based compound, Na 3.12 M 2.44 (P 2 O 7 ) 2 (M = Fe, Fe 0.5 Mn 0.5 , Mn) is synthesized and examined as a cathode for Na ion batteries. Off‐stoichiometric synthesis induces the formation of a Na‐rich phase, Na 3.32 Fe 2.34 (P 2 O 7 ) 2 ‐ a member of the solid solution series Na 4‐α Fe 2+α/2 (P 2 O 7 ) 2 (2/3 ≤ α ≤ 7/8) ‐ which delivers a reversible capacity of about 85 mA h g −1 at ca. 3 V vs. Na/Na + and exhibits very stable cycle performance. Above all, it shows fast kinetics for Na ions, delivering an almost constant 72% reversible capacity at rates between C/10 and 10C without the necessity for nanosizing or carbon coating. We attribute this to the spacious channel size along the a ‐axis, along with a single phase transformation upon de/sodiation.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
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 score0.057
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0080.009
Meta-epidemiology (broad)0.0080.002
Bibliometrics0.0030.003
Science and technology studies0.0030.002
Scholarly communication0.0030.009
Open science0.0040.003
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0000.002

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 head0.010
GPT teacher head0.223
Teacher spread0.213 · 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; both teacher heads agree on what is shown here.

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

Citations182
Published2013
Admission routes1
Has abstractyes

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