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Record W2079957569 · doi:10.1149/2.023207jes

A Simple Coin Cell Design for Testing Rechargeable Zinc-Air or Alkaline Battery Systems

2012· article· en· W2079957569 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 · 2012
Typearticle
Languageen
FieldEngineering
TopicAdvanced battery technologies research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsSeparator (oil production)ElectrodeMaterials scienceMicroporous materialCurrent collectorZincNickelElectrolyteTinNanotechnologyMetallurgyChemistryComposite material

Abstract

fetched live from OpenAlex

Coin cells require small amounts of material, can have good reproducibility, are easily fabricated in large quantities and have small space requirements that allow many cells to be tested simultaneously under controlled conditions. If thin electrodes are used, concerns over bulk electrode issues can be alleviated, making coin cells an ideal research tool for testing new active materials, electrode material recipes, electrolytes and separators. This work focused on the choice of materials for the components in an alkaline Nickel-Zinc coin cell. The experiments showed that nickel should be used for all positive electrode side components, including the current collector, while tin should be used for all negative electrode side components. A non-woven separator as well as a microporous separator are both required for long cycle life. Nickel-Zinc coin cells created in this work achieved Nickel active material utilizations over 100% and cycle lives of over 300 cycles with unoptimized electrode materials. The procedures and recipes developed may be of value for researchers working on rechargeable Zn-air 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.

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)0.001
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: Methods · Consensus signal: none
Teacher disagreement score0.807
Threshold uncertainty score0.452

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.043
GPT teacher head0.277
Teacher spread0.235 · 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