MétaCan
Menu
Back to cohort
Record W2002400383 · doi:10.1002/cjoc.201400551

An Approach towards Synthesis of Nanoarchitectured LiNi<sub>1/3</sub>Co<sub>1/3</sub>Mn<sub>1/3</sub>O<sub>2</sub> Cathode Material for Lithium Ion Batteries

2015· article· en· W2002400383 on OpenAlex
Weibo Hua, Yan-Jie Wang, Yanjun Zhong, Guoping Wang, Benhe Zhong, Baizeng Fang, Xiaodong Guo, Shi‐Xuan Liao, Haijiang Wang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChinese Journal of Chemistry · 2015
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsBC Innovation CouncilUniversity of British Columbia
Fundersnot available
KeywordsCoprecipitationChemistryElectrochemistryCathodeLithium (medication)Battery (electricity)IonCarbonateLithium-ion batteryElectrolyteChemical engineeringInorganic chemistryElectrodePhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract To explore advanced cathode materials for lithium ion batteries (LIBs), a nanoarchitectured LiNi 1/3 Co 1/3 Mn 1/3 O 2 (LNCM) material is developed using a modified carbonate coprecipitation method in combination with a vacuum distillation‐crystallisation process. Compared with the LNCM materials produced by a traditional carbonate coprecipitation method, the prepared LNCM material synthesized through this modified method reveals a better hexagonal layered structure, smaller particle sizes ( ca. 110.5 nm), and higher specific surface areas. Because of its unique structural characteristics, the as‐prepared LNCM material demonstrates excellent electrochemical properties including high rate capability and good cycleability when it is utilized as a cathode in the lithium ion battery (LIB).

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
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 score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0010.001
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 head0.014
GPT teacher head0.251
Teacher spread0.238 · 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