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Record W2979750358 · doi:10.1002/cssc.201902093

Bilayered Potassium Vanadate K<sub>0.5</sub>V<sub>2</sub>O<sub>5</sub> as Superior Cathode Material for Na‐Ion Batteries

2019· article· en· W2979750358 on OpenAlexfundno aff
Rita Baddour‐Hadjean, Le Thanh Nguyen Huynh, Dauren Batyrbekuly, S. Bach, Jean‐Pierre Pereira‐Ramos

Bibliographic record

VenueChemSusChem · 2019
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsnot available
FundersCampus FranceMinistry of Education and Science of the Republic of KazakhstanAgence Universitaire de la Francophonie
KeywordsVanadatePotassiumCathodeMaterials scienceInorganic chemistryIonVanadiumChemistryPhysical chemistryMetallurgy

Abstract

fetched live from OpenAlex

Abstract A bilayered potassium vanadate K 0.5 V 2 O 5 (KVO) is synthesized by a fast and facile synthesis route and evaluated as a positive electrode material for Na‐ion batteries. Half the potassium ions can be topotactically extracted from KVO through the first charge, allowing 1.14 Na + ions to be reversibly inserted. A good rate capability is also highlighted, with 160 mAh g −1 at C/10, 94 mAh g −1 at C/2, 73 mAh g −1 at 2C and excellent cycling stability with 152 mAh g −1 still available after 50 cycles at C/10. Ex situ X‐ray diffraction reveals weak and reversible structural changes resulting in soft breathing of the KVO host lattice upon Na extraction–insertion cycles (Δ V / V ≈3 %). A high structure stability upon cycling is also achieved, at both the long‐range order and atomic scale probed by Raman spectroscopy. This remarkable behavior is ascribed to the large interlayer spacing of KVO (≈9.5 Å) stabilized by pillar K ions, which is able to accommodate Na ions without any critical change to the structure. Kinetics measurements reveal a good Na diffusivity that is hardly affected upon discharge. This study opens an avenue for further exploration of potassium vanadates and other bronzes in the field of Na‐ion batteries.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
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)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.011
GPT teacher head0.222
Teacher spread0.211 · 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

Citations35
Published2019
Admission routes1
Has abstractyes

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