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Record W3139906499 · doi:10.1002/adfm.202011151

High‐Performance Quasi‐Solid‐State Na‐Air Battery via Gel Cathode by Confining Moisture

2021· article· en· W3139906499 on OpenAlexafffund
Shilei Chang, Minjie Hou, Bowen Xu, Feng Liang, Xuechao Qiu, Yaochun Yao, Tao Qu, Wenhui Ma, Bing Yang, Yongnian Dai, Kunfeng Chen, Dongfeng Xue, Huaping Zhao, Xiaoting Lin, Fanny Poon, Yong Lei, Xueliang Sun

Bibliographic record

VenueAdvanced Functional Materials · 2021
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsWestern University
FundersNational Key Research and Development Program of ChinaNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsMaterials scienceCathodeBattery (electricity)ElectrolyteAqueous solutionChemical engineeringPower densityMoistureIonic conductivityEnergy densityEnergy storageComposite materialElectrodeEngineering physicsPower (physics)ChemistryThermodynamicsOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

Abstract Rechargeable Na‐air batteries are the subject of great interest because of their high theoretical specific energy density, lower cost, and lower charge potential compared with Li‐air batteries. However, high purity O 2 as a working environment is required to achieve high‐performance Na‐air batteries, which obstructs their application as a high‐energy‐density battery. Although aqueous Na‐air batteries can operate in ambient air, long cycle and high safety remain challenges for aqueous Na‐air batteries because the aqueous electrolyte is volatile. Here, a quasi‐solid‐state Na‐air battery is reported by utilizing a gel cathode, which is composed of single‐walled carbon nanotubes and room‐temperature ionic liquids, achieving high safety and long cycling life of 125 cycles (528 h) at a current density of 0.1 mA cm −2 , which is surprisingly better than that of quasi‐solid‐state NaO 2 batteries. In situ XRD characterizations reveal that water in ambient air is gradually deposited on the surface of the gel cathode to form a water layer, which facilitates the generation of soluble discharge product of NaOH thermodynamically with high conductivity. This work shall be critical to develop and promote the practical application of Na‐air batteries, opening a new way to the design of solid‐state metal‐air 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)0.000
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 score0.043
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.007
GPT teacher head0.198
Teacher spread0.191 · 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

Citations42
Published2021
Admission routes2
Has abstractyes

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