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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 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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.651
Threshold uncertainty score0.429

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 science0.0000.000
Research integrity0.0000.000
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 head0.085
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

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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