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Record W1973528056 · doi:10.1149/1.3625232

Interpreting High Precision Coulometry Results on Li-ion Cells

2011· article· en· W1973528056 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of The Electrochemical Society · 2011
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Technologies Research
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCoulometryElectrolyteFaraday efficiencyGraphiteElectrodeDissolutionMaterials scienceIonAnalytical Chemistry (journal)ChemistryInorganic chemistryElectrochemistryMetallurgyPhysical chemistryChromatography

Abstract

fetched live from OpenAlex

The High Precision Charger at Dalhousie University can be used to accurately measure the Coulombic Efficiency (CE) and the charge and discharge capacity endpoint slippages per cycle (Δ d and Δ c , respectively) of Li-ion full cells and Li/electrode half cells. If the CE is not exactly 1.0000 and the endpoints slip then this must be due to parasitic reactions between the electrode materials and the electrolyte in the cell. The various parasitic currents and charges associated with: solid electrolyte interface growth; electrolyte oxidation; transition metal dissolution and positive electrode damage are considered using a Li inventory model. The mathematical relations between the parasitic currents and the measured CE, Δ d and Δ c are derived. Example data collected on both Li/graphite, Li/LiCoO 2 half cells as well as both graphite/LiCoO 2 and graphite/LiMn 2 O 4 Li-ion cells are used to illustrate how high precision coulometry results can be used to help elucidate cell degradation mechanisms.

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 score0.029
Threshold uncertainty score0.593

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 science0.0010.000
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 head0.012
GPT teacher head0.246
Teacher spread0.234 · 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