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Record W2743147213 · doi:10.14447/jnmes.v14i3.103

Effects of Hydrothermal Oxidation Temperature on the Performance of Natural Graphite as an Anode for Lithium-Ion Cells

2011· article· en· W2743147213 on OpenAlexvenueno aff
Mi Lu, Yanyan Tian, Bing Huang, Zheng Xiaodong

Bibliographic record

VenueJournal of New Materials for Electrochemical Systems · 2011
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsnot available
Fundersnot available
KeywordsAnodeGraphiteLithium (medication)Faraday efficiencyElectrochemistryIonMaterials scienceX-ray photoelectron spectroscopyIntercalation (chemistry)Hydrothermal circulationAnalytical Chemistry (journal)OxygenChemical engineeringChemistryInorganic chemistryElectrodeComposite materialChromatographyPhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Natural graphite (NG) was hydrothermally oxidized at room temperature, 100 ºC and 200 ºC respectively to analyze the effects of temperature on the electrochemical performance of the NG as an anode for lithium ion cells. Charge/discharge results showed that the sample treated at 100 ºC exhibited the highest initial intercalation capacity of 340.1 mAh/g and a Coulombic efficiency of 89.9%, while the sample treated at 200 ºC showed the highest capacity retention of 96.5% after 20 charge/discharge cycles. X-ray photoelectron spectra revealed that groups containing oxygen were present on the surface of all samples, which explains why the performance of the sample treated at room temperature shows slightly improved electrochemical performance that can be further improved by increasing the oxidation temperature.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.008
GPT teacher head0.216
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2011
Admission routes1
Has abstractyes

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