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Record W2529188289 · doi:10.1149/07518.0065ecst

Development Strategy and Comparison of a Novel Flow Field Design for Redox Flow Battery

2017· article· en· W2529188289 on OpenAlexafffund
Daouda Fofana, Edward P.L. Roberts

Bibliographic record

VenueECS Transactions · 2017
Typearticle
Languageen
FieldEngineering
TopicAdvanced battery technologies research
Canadian institutionsUniversity of Calgary
FundersAlberta Innovates
KeywordsFlow batteryFlow (mathematics)MechanicsVolumetric flow rateCharge conservationPorosityRedoxParametric statisticsElectrodeMaterials scienceFlow conditionsConservation of massComputer scienceBattery (electricity)SimulationProcess engineeringEngineeringThermodynamicsChemistryMathematicsCharge (physics)PhysicsComposite materialPower (physics)Metallurgy

Abstract

fetched live from OpenAlex

Novel electrode flow through design for redox flow batteries (RFBs) have being developed to provide high performance compared to the flow by design. The performance have being analyzed using mathematical model. A 2D-dimensional steady state model accounting for mass, momentum, species, electrochemical reactions and charge conservation equations have been developed. The performance of both novel flow through and flow by have been carried out and compared. Finally, a parametric study was performed to highlight the effect of different parameters such as porosity, thickness, active surface area as well as the flow rate on both models.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.085
GPT teacher head0.330
Teacher spread0.245 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2017
Admission routes2
Has abstractyes

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