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Record W2567151047 · doi:10.1021/jacs.6b11333

Detection of Electrochemical Reaction Products from the Sodium–Oxygen Cell with Solid-State <sup>23</sup>Na NMR Spectroscopy

2016· article· en· W2567151047 on OpenAlexafffund
Zoë E. M. Reeve, Christopher J. Franko, Kristopher J. Harris, Hossein Yadegari, Xueliang Sun, Gillian R. Goward

Bibliographic record

VenueJournal of the American Chemical Society · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsWestern UniversityMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryElectrochemistryInorganic chemistrySodiumNMR spectra databaseOxygenNuclear magnetic resonance spectroscopyHalogenPeroxideElectrochemical cellElectrodeOrganic chemistrySpectral linePhysical chemistry

Abstract

fetched live from OpenAlex

23 Na MAS NMR spectra of sodium–oxygen (Na–O 2 ) cathodes reveals a combination of degradation species: newly observed sodium fluoride (NaF) and the expected sodium carbonate (Na 2 CO 3 ), as well as the desired reaction product sodium peroxide (Na 2 O 2 ). The initial reaction product, sodium superoxide (NaO 2 ), is not present in a measurable quantity in the 23 Na NMR spectra of the cycled electrodes. The reactivity of solid NaO 2 is probed further, and NaF is found to be formed through a reaction between the electrochemically generated NaO 2 and the electrode binder, polyvinylidene fluoride (PVDF). The instability of cell components in the presence of desired electrochemical reaction products is clearly problematic and bears further investigation.

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 score0.004
Threshold uncertainty score0.311

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.004
GPT teacher head0.197
Teacher spread0.193 · 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

Citations100
Published2016
Admission routes2
Has abstractyes

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