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Record W1574892699 · doi:10.1149/1.1393945

Understanding Irreversible Capacity in Li[sub x]Ni[sub 1−y]Fe[sub y]O[sub 2] Cathode Materials

2000· article· en· W1574892699 on OpenAlexafffund
J. R. Mueller-Neuhaus, R. A. Dunlap, J. R. Dahn

Bibliographic record

VenueJournal of The Electrochemical Society · 2000
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of CanadaDalhousie University
KeywordsCathodeIntercalation (chemistry)Lithium (medication)Cyclic voltammetryElectrochemistryTransition metalMössbauer spectroscopyAnodeMaterials scienceIonAnalytical Chemistry (journal)Capacity lossChemistryInorganic chemistryCrystallographyElectrodePhysical chemistry

Abstract

fetched live from OpenAlex

A study was made of lithium‐ion cell cathode materials. Through a series of experiments including cyclic voltammetry, X‐ray diffractometry, Mössbauer spectroscopy, in situ X‐ray diffractometry, and in situ Mössbauer spectroscopy, it was determined that the phenomenon commonly referred to as "irreversible capacity" in lithium‐ion cell cathode materials is a misnomer. Cells utilizing with 0.05 ≤ y ≤ 0.10 as the cathode active material (vs. a lithium metal anode) have been reversibly cycled between 0.64 ≤ x ≤ 1.00 (100 mAh/g). The recovery of the "irreversible capacity" involved a discharge through a ∼2 V plateau during which it is believed that a surface layer of is present. Also, a new transition has been observed between two O3 phases (belonging to the space group ) during charge beginning at the start of charge and reaching completion by x ≈ 0.82 (50 mAh/g). The cause of this transition as well as the formation of the surface layer during discharge are explained in terms of the mobility of lithium ions in the intercalation host being related to the availability of monovacancy and divacancy hopping paths. © 2000 The Electrochemical Society. All rights reserved.

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)0.001
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 score0.004
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.001
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 head0.036
GPT teacher head0.231
Teacher spread0.194 · 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

Citations94
Published2000
Admission routes2
Has abstractyes

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