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Record W4390818996 · doi:10.1002/aenm.202470007

Thin, Highly Ionic Conductive, and Mechanically Robust Frame‐Based Solid Electrolyte Membrane for All‐Solid‐State Li Batteries (Adv. Energy Mater. 2/2024)

2024· article· en· W4390818996 on OpenAlexaff
Dohwan Kim, Hyobin Lee, Youngjoon Roh, Jongjun Lee, Jihun Song, Cyril Bubu Dzakpasu, Seok Hun Kang, Jaecheol Choi, Dong Hyeon Kim, Hoe Jin Hah, Kuk Young Cho, Young‐Gi Lee, Yong Min Lee

Bibliographic record

VenueAdvanced Energy Materials · 2024
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsNexen (Canada)
Fundersnot available
KeywordsMaterials scienceElectrolyteMembraneSolid-stateFast ion conductorIonic bondingChemical engineeringElectrical conductorIonic conductivityNanotechnologyComposite materialIonEngineering physicsElectrodeOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

Solid Electrolyte Membranes In article number 2302596, Young-Gi Lee, Yong Min Lee and co-workers present a strategy for designing thin and robust solid electrolyte (SE) membranes by simply introducing a perforated polyethylene separator as a supporting frame. The frame-based SE membranes exhibit excellent mechanical strength properties and high ionic conductance, result in high-capacity retention and stable cycling in NCM||Li cells with extreme mono-cell-level energy density.

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 score0.371
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
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 head0.010
GPT teacher head0.236
Teacher spread0.226 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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