MétaCan
Menu
Back to cohort
Record W2763896080 · doi:10.1002/aenm.201701729

A 4 V Na<sup>+</sup> Intercalation Material in a New Na‐Ion Cathode Family

2017· article· en· W2763896080 on OpenAlexafffund
Se Young Kim, Dipan Kundu, Linda F. Nazar

Bibliographic record

VenueAdvanced Energy Materials · 2017
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of CanadaBASF
KeywordsMaterials scienceElectrochemistryCathodeX-ray photoelectron spectroscopyIntercalation (chemistry)ElectrolyteGrapheneChemical engineeringNanotechnologyInorganic chemistryElectrodePhysical chemistryChemistry

Abstract

fetched live from OpenAlex

Abstract Large‐scale electrochemical energy storage is a critical factor in the development of renewable energy sources to enable their intermittent power to become dispatchable. In this context, Na‐ion batteries are seen as promising alternatives to Li‐ion batteries, but their advancement requires the discovery of new materials, their electrochemical properties, and a better understanding of structure–property relationships that underpin the electrochemistry. This study presents a new class of Na + insertion materials for Na‐ion batteries. By virtue of its moderately inductive polyanionic framework, the air and moisture stable selenite Na 2 Co 2 (SeO 3 ) 3 displays a highly suitable redox potential of ≈ 4 V versus Na/Na + based on the Co 2+ /Co 3+ couple, rendering it compatible with conventional liquid organic electrolytes. A microwave hydrothermal synthesis route is developed for the rapid synthesis of nanostructured Na 2 Co 2 (SeO 3 ) 3 and its conductive graphene oxide composite. The electrochemistry and structural evolution of Na 2 Co 2 (SeO 3 ) 3 determined on cycling the cathode in a Na battery was investigated by operando X‐ray diffraction, X‐ray photoelectron spectroscopy, and temperature dependent magnetic susceptibility measurements. These studies reveal good structural and electrochemical reversibility.

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 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 score0.048
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.258
Teacher spread0.242 · 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.

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

Citations22
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueAdvanced Energy MaterialsSame topicAdvancements in Battery MaterialsFrench-language works237,207