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Record W2005410620 · doi:10.1039/c4cp01436g

Electronic structure variation of the surface and bulk of a LiNi<sub>0.5</sub>Mn<sub>1.5</sub>O<sub>4</sub>cathode as a function of state of charge: X-ray absorption spectroscopic study

2014· article· en· W2005410620 on OpenAlexaff
Jigang Zhou, Da Hong, Jian Wang, Yongfeng Hu, Xiaohua Xie, Haitao Fang

Bibliographic record

VenuePhysical Chemistry Chemical Physics · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsCanadian Light Source (Canada)
Fundersnot available
KeywordsCathodeCharge (physics)Materials scienceElectronic structureSurface (topology)State (computer science)Variation (astronomy)Chemical physicsAtomic physicsCondensed matter physicsCrystallographyEngineering physicsChemistryPhysical chemistryPhysicsComputer scienceGeometryMathematicsQuantum mechanics

Abstract

fetched live from OpenAlex

The electronic structure at the Ni, Mn and O sites and their evolution upon the electrochemical lithiation of Li(1-x)Ni0.5Mn1.5O4 (LNMO) in a lithium ion battery has been explored using comprehensive X-ray absorption near edge structure spectroscopy (XANES) at the Ni and Mn L3,2- and O K-edges, with both surface-sensitive and bulk-sensitive detection. It has confirmed that Ni reduction from Ni(4+) to Ni(2+) plays the leading role in charge compensation when the lithiation voltage is above 4.5 V. Our study also unveils the participation of oxygen in the charge compensation. Furthermore, the enhanced difference in the electronic structures of the surface and bulk in electrochemically cycled samples, and the different surface electronic structures of the fully discharged LNMO and the pristine one, highlight the importance of electrochemical activation. These findings are critical for a better understanding of the electrochemical reaction of LNMO and the influence of structural modifications to the surface region upon its performance, and will assist further efforts to improve this high-voltage cathode material for its application in lithium ion batteries.

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 score0.010
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 head0.005
GPT teacher head0.214
Teacher spread0.209 · 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

Citations48
Published2014
Admission routes1
Has abstractyes

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