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Record W4388493833 · doi:10.1149/1945-7111/ad0a75

Investigating the Electro-Kinetics and Long-Term Solubility of Vanadium Electrolyte in the Presence of Inorganic Additives

2023· article· en· W4388493833 on OpenAlexafffund
Oanh Hoang Nguyen, Prathap Iyapazham Vaigunda Suba, Shoaib Muhammad, Venkataraman Thangadurai

Bibliographic record

VenueJournal of The Electrochemical Society · 2023
Typearticle
Languageen
FieldEngineering
TopicAdvanced battery technologies research
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsVanadiumElectrolyteElectrochemistrySolubilityInorganic chemistryConductivityChemistryIonic conductivityRedoxFlow batteryMaterials scienceChemical engineeringElectrodePhysical chemistry

Abstract

fetched live from OpenAlex

With the ever-growing energy storage demands for electrical grids, vanadium redox flow batteries (VRFB), a stellar candidate, need continuous cost, cyclability, and energy density improvement. The VRFB tend to lose vanadium from electrolyte solutions due to the precipitation of V 2 O 5 during charging, resulting in a significant loss of energy density. We monitored the solubility and electrochemical characteristics of vanadium electrolyte solutions with V 2 O 5 as the starting material in the presence of different additives, namely HCl and MSA (methanesulfonic acid), for over three months. On average, the ionic conductivity of solutions with additives was 50 mS higher than that of without additives. Additives also improved the electrochemical performance and lowered charge transfer resistance. UV/Vis and Raman spectroscopy were utilized, and a reaction mechanism responsible for improved conductivity and kinetics was proposed.

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 score0.035
Threshold uncertainty score0.542

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.255
Teacher spread0.243 · 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".

Quick stats

Citations5
Published2023
Admission routes2
Has abstractyes

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