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Record W3133819880 · doi:10.1039/d1ma00065a

An ultra-lithiophilic oxidation layer in a Ni-foam-based anode for lithium metal batteries

2021· article· en· W3133819880 on OpenAlexaff
Yusong Choi, Tae–Young Ahn, Eun Hye Lee, Tae-Uk Hur, Sang-Hyeon Ha, Jae-In Lee, Tae-Ryong Park, Chi Hun Choi, Ji-Youn Kim, Jang‐Hyeon Cho

Bibliographic record

VenueMaterials Advances · 2021
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsKootenay Association for Science & Technology
FundersDefense Acquisition Program Administration
KeywordsOxidizing agentMaterials scienceWettingNon-blocking I/OAnodeLayer (electronics)MetalChemical engineeringLithium metalLithium (medication)Electrical conductorMetal foamComposite materialMetallurgyElectrodeChemistryCatalysis

Abstract

fetched live from OpenAlex

An ultra lithiophilic and highly electrical conductive NiO layer was epitaxially grown on the Ni-foam surface by oxidation in air. Oxidizing the Ni-foam in air remarkably increases the wettability of molten Li on the Ni surface.

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 score0.009
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 communication0.0000.001
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 head0.017
GPT teacher head0.273
Teacher spread0.256 · 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

Citations10
Published2021
Admission routes1
Has abstractyes

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