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Record W3174649445 · doi:10.1002/aenm.202101004

Realizing Solid‐Phase Reaction in Li–S Batteries via Localized High‐Concentration Carbonate Electrolyte

2021· article· en· W3174649445 on OpenAlexafffund
Mengxue He, Xia Li, Xiaofei Yang, Changhong Wang, Matthew Zheng, Ruying Li, Pengjian Zuo, Geping Yin, Xueliang Sun

Bibliographic record

VenueAdvanced Energy Materials · 2021
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsConcordia UniversityWestern University
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsElectrolyteMaterials scienceCathodeCarbonatePolysulfideDiethyl carbonateChemical engineeringDissolutionLithium carbonateInorganic chemistrySulfurLithium (medication)ElectrodeIonEthylene carbonateChemistryOrganic chemistryIonic bondingPhysical chemistry

Abstract

fetched live from OpenAlex

Abstract Lithium–sulfur (Li–S) batteries have attracted significant attention because of their high theoretical energy density and low cost. However, their poor cyclability caused by the shuttle effect in ether‐based electrolytes remains a great challenge for their practical application. Herein, a novel electrolyte is proposed by combining widely used carbonate solvents diethyl carbonate/fluoroethylene carbonate and inert diluent 1,1,2,2‐tetrafluoroethyl 2,2,3,3‐tetrafluoropropyl ether for Li–S batteries based on typical mesoporous carbon/sulfur (KB/S) materials. Differing from the conventional dissolution‐precipitation mechanism, the sulfur cathodes demonstrate a solid‐phase reaction route in the developed electrolyte, which is realized with the assistance of an in situ formed compact cathode electrolyte interface (CEI) film on the cathode caused by the nucleophilic reaction between lithium polysulfides (LiPSs) and carbonate solvents. The formed CEI film can effectively block the infiltration of carbonate solvents and can completely suppress the generation of LiPSs, thus eliminating the shuttle effect. As a result, the KB/S electrode demonstrates a stable cycling performance at 2 C by maintaining a discharge capacity of 570 mAh g –1 after 600 cycles, corresponding to an average capacity decay of 0.057% per cycle. More significantly, this strategy provides a new pathway toward future development of Li–S batteries based on solid‐phase conversion.

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 score0.018
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)0.0000.000

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 head0.005
GPT teacher head0.240
Teacher spread0.235 · 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

Citations97
Published2021
Admission routes2
Has abstractyes

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