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Record W2306890932 · doi:10.1149/ma2014-02/1/18

Two and Three Electrode Electrochemical Cells for Ambient and High Temperature Battery Materials Research

2014· article· en· W2306890932 on OpenAlexaff
Kalani Periyapperuma, Tuan T. Tran, S. Trussler, Douglas S.M. Iaboni, M. N. Obrovac

Bibliographic record

VenueECS Meeting Abstracts · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Technologies Research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsGasketElectrolyteElectrodeMaterials scienceSeparator (oil production)Composite materialElastomerElectrochemical cellBattery (electricity)ElectrochemistryChemistry

Abstract

fetched live from OpenAlex

Introduction Coin cells and Swagelok cells are typically used for two and three electrode electrochemical testing of metal ion battery materials. Commercial three electrode laboratory cells are also available, but are typically expensive and often use elastomeric seals, which react with electrolyte and are not compatible with high temperatures. The use of traditional 2325 coin cell hardware at high temperature applications is limited by the 60°C softening temperature of the cell gasket. At 60°C, the pressure generated by highly volatile solvents can cause the cell to rupture. This is especially troublesome for Mg battery research where volatile solvents are generally used and high temperatures are needed for better intercalation kinetics. Two and three electrode Swagelok cells are more difficult to prepare than standard coin cells. They typically use PTFE ferrules, and care must be taken as PTFE is reactive with electrolyte at low potentials. Here we describe cell hardware based on Conflat vacuum fittings. Typically Conflat vacuum fittings use copper or Viton gaskets. These can either cause a short circuit between two Conflat fittings or react with electrolyte. We have found gasket materials made from stable polymers form effective insulating, electrolyte resistant and high temperature seals in laboratory test cells. Experimental Conflat cells were constructed using standard 2.125" Conflat blank and bored flanges. HDPE or PTFE gaskets were punched from 0.125" sheets using a circular die press. Two electrode cells used the same inner cell stack as a two electrode coin cell (spring, spacer, electrodes, separator). Three electrode cells included a Li or Mg ring reference electrode. 2325 coin cell hardware was used for comparative testing. Results and Discussion Figure 1 shows the cycling performance of a LiFePO 4 (LFP) vs Li two electrode Conflat cell using 1M LiTFSI in PC at 30 o C. It shows no capacity fade and identical performance as coin cells. Figure 2 shows the cycling of a two electrode Li 4 Ti 5 O 12 (LTO)/Li Conflat cell tested at high temperatures. No capacity fade was detected below 110 o C. As the temperature is increased, reactions with the electrolyte caused the capacity to fade due to increased impedance from electrolyte decomposition reactions. Figure 3 shows the cycling performance of a Mo 6 S 8 /Mg/Mg three electrode Conflat cell containing a highly volatile tetrahydrofuran (THF) based electrolyte at 60°C. We have found that three electrode cells using such volatile electrolytes at this temperature are extremely unreliable and difficult to make using coin cell hardware. The conflat cell, on the other hand cycled reversibly, during which time the voltages of the Mg counter and Mo 6 S 8 working electrode were accurately measured without electrolyte polarization using the third electrode. Conflat cells are excellent low cost cell hardware that use readily available parts. They are simple to assemble can be made into two and three electrode cell configurations and particularly useful for high temperature studies. We consider Conflat cells an excellent alternative to coin and Swagelok cell hardware especially in Mg battery research where the electrolyte is volatile and moderately high temperatures are used. Three electrode measurements at high temperature of Li and Mg battery materials and further details regarding Conflat cell design will be discussed.

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.813

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 science0.0000.000
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 head0.016
GPT teacher head0.278
Teacher spread0.262 · 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.

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".

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Citations1
Published2014
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