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Record W4313387104 · doi:10.1002/eom2.12317

Vertical aligned solid‐state electrolyte templated by nanostructured “upright” cellulose film layers for advanced cell performance

2022· article· en· W4313387104 on OpenAlexaff
Hao Zhang, Xingye An, Yiluo Yang, Yinying Long, Shuangxi Nie, Liqin Liu, Guihua Yang, Zhongjian Tian, Haibing Cao, Zhengbai Cheng, Hongbin Liu, Yonghao Ni

Bibliographic record

VenueEcoMat · 2022
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsUniversity of New Brunswick
FundersChina Postdoctoral Science FoundationNational Natural Science Foundation of ChinaParkinson's Disease Foundation
KeywordsMaterials scienceElectrolytePorosityCelluloseComposite materialCeramicChemical engineeringAnodeNanotechnologyElectrode

Abstract

fetched live from OpenAlex

Abstract In this work, an “upright” cellulose layered template, which can be precisely controlled by the fiber orientation and thickness of anisotropic cellulose film, was first developed to prepare vertically aligned Li 7 La 3 Zr 2 O 12 (LLZO) ceramic membrane with low tortuosity and uniform porosity. The flexible composite solid‐state electrolytes (CSEs) were synthesized by incorporating poly(ethylene oxide) (PEO) polymer into LLZO architecture, and exhibited distinguished mechanical strength, elevated ionic conductivity (2.1 × 10 −4 S cm −1 ) and excellent interface compatibility with lithium anodes. The assembled LiFePO 4 /lithium full cells assembled with as‐obtained CSEs can reach large discharge capacities of 172.3 mAh g −1 with coulombic efficiencies of above 99% and capacity retention of 93.1% even after 200 cycles. These results clearly demonstrate that the sophisticated design of vertical aligned cellulose layered template with fine‐scale size and exquisite architecture is a promising and practical approach in fabricating flexible LLZO@PEO‐LiTFSI CSEs with high‐safety and high‐performance. image

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), Insufficient payload (model declined to judge)
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 score0.016
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.004
GPT teacher head0.202
Teacher spread0.198 · 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

Citations30
Published2022
Admission routes1
Has abstractyes

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