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Record W2775750747 · doi:10.1149/2.1011714jes

Exploring Interactions between Electrodes in Li[Ni<sub>x</sub>Mn<sub>y</sub>Co<sub>1-xy</sub>]O<sub>2</sub>/Graphite Cells through Electrode/Electrolyte Interfaces Analysis

2017· article· en· W2775750747 on OpenAlexaff
Lénaïc Madec, L. D. Ellis

Bibliographic record

VenueJournal of The Electrochemical Society · 2017
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsDalhousie University
Fundersnot available
KeywordsElectrodeElectrolyteGraphiteDissolutionPassivationFaraday efficiencyMaterials scienceReversible hydrogen electrodeAnalytical Chemistry (journal)ChemistryChemical engineeringInorganic chemistryReference electrodeLayer (electronics)NanotechnologyComposite material

Abstract

fetched live from OpenAlex

Interactions occurring between positive and negative electrodes during constant current-constant voltage cycling in Li[Ni x Mn y Co 1-xy ]O 2 /graphite pouch cells at various upper cutoff voltages was investigated. Below 4.3 V, good capacity retention, high/stable coulombic efficiency (CE) and low gas production were observed. At 4.5 V, however, extensive capacity loss, dramatic/unstable CE and large gas generation were observed due to extensive electrolyte degradation at the NMC electrodes. XPS experiments highlighted that solvents (-CO containing species) and salt (mostly LiF) degradation products including gas and NMC dissolution products are produced at the NMC electrodes then migrate to the graphite electrodes surface where they are either reduced or simply deposited. Although these phenomena were greatly accelerated at high voltage, the dominant failure mechanism was the formation of a Li-ion insulator/electron conductor surface layer (maybe rock salt) due to irreversible structural change of the NMC particles surface. At low voltage, the failure mechanism was explained by accumulation of SEI at the graphite electrode surface that hinder the ionic transport through the electrode porosity. Overall, both failure mechanisms are driven by oxidative parasitic reactions at the positive electrode and interaction with the negative electrode. Passivation of the positive electrode appears therefore crucial to promote long lifetime of Li-ion cells.

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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.027
GPT teacher head0.265
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

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

Citations26
Published2017
Admission routes1
Has abstractyes

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