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Record W2238290971 · doi:10.1149/06917.0121ecst

Three Dimensional, High Resolution MPL Generation for Thermal and Mass Transport Modeling of PEM Fuel Cells

2015· article· en· W2238290971 on OpenAlexaff
Rupak Banerjee, Aimy Bazylak

Bibliographic record

VenueECS Transactions · 2015
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMicroporous materialThermal conductivityThermal conductionMaterials scienceThermal diffusivityParticle (ecology)RADIUSDiffusionPorosityMass transferHeat transfer coefficientWork (physics)Resolution (logic)Heat transferAnalytical Chemistry (journal)ThermodynamicsChemistryComposite materialPhysics

Abstract

fetched live from OpenAlex

A stochastically generated microporous layer (MPL) model has been numerically simulated for studying their thermal and mass transport properties. In this work, the MPLs have been generated with a particle diameter of 50 nm and a filling radius of 15 nm. The resulting structure has a bulk porosity of 0.6, a PTFE content of 31 wt. %, and has been generated at a resolution of 2.5 nm/voxel. The high resolution structure allows the particle to particle contact region to be studied, which is critically important for heat transfer studies. Both the thermal conductivity and effective diffusion coefficient were calculated. Thermal conductivity has been calculated to 17.6 W/m-K using an iterative form of the Fourier heat conduction equation. The effective diffusion coefficient of oxygen has been found to be 7.6 mm2/s using OpenPNM, which is an open source pore network modeling platform.

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: Empirical · Consensus signal: none
Teacher disagreement score0.571
Threshold uncertainty score0.355

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 head0.029
GPT teacher head0.206
Teacher spread0.176 · 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
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

Citations4
Published2015
Admission routes1
Has abstractyes

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