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Record W3046024510 · doi:10.1039/d0ta05372d

Facile <i>ex situ</i> formation of a LiF–polymer composite layer as an artificial SEI layer on Li metal by simple roll-press processing for carbonate electrolyte-based Li metal batteries

2020· article· en· W3046024510 on OpenAlexaff
Seho Sun, Seungcheol Myung, Gaeun Kim, Dongsoo Lee, Hyunsu Son, Min‐Chul Jang, Eunkyung Park, Byoungkuk Son, Yeon‐Gil Jung, Ungyu Paik, Taeseup Song

Bibliographic record

VenueJournal of Materials Chemistry A · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsFuture Earth
FundersKorea Institute of Energy Technology Evaluation and Planning
KeywordsFluoropolymerMaterials scienceLayer (electronics)MetalPolymerElectrolyteLithium fluorideComposite numberLithium (medication)Lithium metalChemical engineeringNanotechnologyComposite materialElectrodeMetallurgyInorganic chemistryChemistryEngineering

Abstract

fetched live from OpenAlex

A facile and scalable process for the formation of artificial SEI layer is proposed by roll-press Li metal and fluoropolymer. The layer, composed of lithium fluoride and polymers, plays Li protection for highly stable lithium metal 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 score0.004
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 head0.020
GPT teacher head0.242
Teacher spread0.222 · 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

Citations105
Published2020
Admission routes1
Has abstractyes

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