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Record W2952734446 · doi:10.14447/jnmes.v12i4.447

Preparation and Characterization of Spherical Li3V2 (PO4)3/C Cathode Material for Lithium-ion Batteries

2009· article· en· W2952734446 on OpenAlexvenueno aff
Guannan Yang, Jie Ying, Jian Gao, C. Y. Jiang, Caihua Wan

Bibliographic record

VenueJournal of New Materials for Electrochemical Systems · 2009
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsnot available
Fundersnot available
KeywordsMonoclinic crystal systemLithium (medication)Materials scienceElectrochemistryCathodeVanadiumRaw materialIonLithium vanadium phosphate batteryQuenching (fluorescence)Chemical engineeringAnalytical Chemistry (journal)Crystal structureMetallurgyCrystallographyChemistryElectrodePhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Monoclinic lithium vanadium phosphate Li3V2(PO4)3 is a very promising polyanion-type cathode material for lithium-ion batteries.In this work, we synthesized spherical Li3V2(PO4)3 powder via melting V2O5 and quenching followed by spray drying and carbothermalreduction processes, using NH4VO3, LiOH·H2O, H3PO4 and C12H22O11 as the raw materials. The structure and morphology of theLi3V2(PO4)3 powders were characterized. The electrochemical property of the spherical Li3V2(PO4)3 cathode material was characterized byelectrochemical measurements. At cut-off voltages of 3.0–4.3 V, 3.0–4.8 V and 1.5–4.8V with current density of 0.2 mA·cm-2, the cathodematerial showed initial discharge capacity of 124.7 mAh·g-1, 157.3 mAh·g-1, 270.2 mAh·g-1 and capacity retention of 98.4%, 83.1% and84.0% after 50 cycles, respectively. The charge-discharge performance tested at different current densities of 0.04 mA·cm-2, 0.08 mA·cm-2,0.2 mA·cm-2, 0.4 mA·cm-2, 0.8 mA·cm-2 and 2 mA·cm-2 also showed the good rate capability.

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)0.000
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 score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.011
GPT teacher head0.262
Teacher spread0.251 · 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
Published2009
Admission routes1
Has abstractyes

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