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Record W2344961981 · doi:10.1149/1.2828199

Synthesis and Electrochemical Properties of High-Density LiNi[sub 0.8]Co[sub 0.2]O[sub 2] for the Lithium-Ion-Battery Cathode

2008· article· en· W2344961981 on OpenAlexaff
Hongwei Tang, Zhihong Zhu, Zhaorong Chang, Zhong-jun Chen, Xiao Zi Yuan, Haijiang Wang

Bibliographic record

VenueElectrochemical and Solid-State Letters · 2008
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsBC Innovation Council
FundersHenan UniversityNational Natural Science Foundation of ChinaHenan Normal University
KeywordsEutectic systemMaterials scienceMolten saltElectrochemistryCathodeLithium (medication)Battery (electricity)Melting pointSalt (chemistry)Chemical engineeringLithium-ion batteryCurrent densityIonAnalytical Chemistry (journal)ElectrodeMetallurgyComposite materialThermodynamicsPhysical chemistryMicrostructureChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

powder with a tap density of has been successfully prepared by a molten-salt synthesis method using a eutectic molten salt of with a melting point of and , where the ratio of is controlled at 1.1:1. X-ray diffraction analysis has shown that this material has a well-developed layered structure. Charge-discharge tests have shown that an cathode prepared at has an initial discharge capacity as high as and excellent capacity retention in the range of at a current density of .

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 score0.014
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 communication0.0000.000
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 head0.012
GPT teacher head0.212
Teacher spread0.200 · 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

Citations8
Published2008
Admission routes1
Has abstractyes

Explore more

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