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Record W2132414575 · doi:10.1149/2.0191503jes

Understanding Anomalous Behavior in Coulombic Efficiency Measurements on Li-Ion Batteries

2014· article· en· W2132414575 on OpenAlex

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

VenueJournal of The Electrochemical Society · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsDalhousie University
Fundersnot available
KeywordsFaraday efficiencyElectrolyteElectrodeIonLithium (medication)Depth of dischargeChemistryCyclingBattery (electricity)Materials scienceAnalytical Chemistry (journal)ThermodynamicsPhysicsPhysical chemistry

Abstract

fetched live from OpenAlex

When identical dry Li-ion batteries are filled with different electrolyte solutions, those with higher coulombic efficiency (CE) normally have a longer life-time, provided the batteries have the same test history (storage time and temperature, cycling protocol etc.). Accurate CE measurements can therefore be used to rapidly rank cells according to their life-time without relying on tests that are many years long. The CE of Li-ion cells normally increases with time since SEI layers thicken and parasitic reactions between electrodes and electrolyte, which cause the departure of the CE from unity, slow down. However, in some cases, the CE of Li-ion cells has been observed to be greater than unity and decrease during early charge-discharge cycling, which is unexpected. This anomalous behavior is shown here to be caused by the impact of lithium atoms stored in the negative electrode "overhang", the small portion of the negative electrode that extends past the positive electrode in commercial Li-ion cells. Storage protocols are discussed that allow CE to more rapidly stabilize with time or cycle number.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.034
Threshold uncertainty score0.416

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.037
GPT teacher head0.253
Teacher spread0.216 · 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