MétaCan
Menu
Back to cohort
Record W7008905419

Creating nano- and microstructure catalyst coated membrane interfaces for improving the performance of proton exchange membrane fuel cells

2018· dissertation· en· W7008905419 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSummit (Simon Fraser University) · 2018
Typedissertation
Languageen
FieldSocial Sciences
TopicCommunication and COVID-19 Impact
Canadian institutionsnot available
FundersCanada Research ChairsSimon Fraser UniversityWestern Economic Diversification CanadaBritish Columbia Knowledge Development FundNatural Sciences and Engineering Research Council of CanadaCMC Microsystems
KeywordsProton exchange membrane fuel cellCathodeCatalysisMicroscale chemistryMicrostructureMesoporous materialCoatingDielectric spectroscopy
DOInot available

Abstract

fetched live from OpenAlex

Proton exchange membrane fuel cells (PEMFCs) are an important low-emission energy generation system that can be utilized for automotive applications. These systems are, however, limited by the use of Pt as the cathode catalyst, where the relatively expensive cost of Pt limits the competition of PEFMCs against petroleum based systems. Due to the unique characteristics of these PEMFC systems, an optimal balance of hydration of the PEM and the catalyst layers must be maintained within the fuel cell. The current densities achievable with the system can be impacted by an inefficient mass transport of the reactants and products that result in over- or under-hydration of the system. Improvements for increasing effective utilization of Pt and optimizing transport characteristics of PEMFCs could further propel this technology into the mainstream. The work presented in this thesis demonstrates an array of approaches to control the interfaces at or within the cathode catalyst layer (CCL). Architectures at the micro- and nanoscale were sought for improving the performance of PEMFCs. These approaches included creating microscale (5 to 50 µm) patterns of the PEM to CCL interface by the direct printing of CCLs and the hot-embossing of the PEMs. Catalyst materials with tuned pore sizes (1 to 0.05 µm) were also prepared with a coating of catalytic nanoparticles (NPs) through the use of polymeric sacrificial templates. Finally, CCLs containing mesoporous (<10 nm) Pt catalysts were prepared by electrodeposition. These CCL architectures were extensively characterized by electron microscopy and electrochemical techniques. Electron microscopy and related spectroscopy techniques were utilized for determining the morphologies and elemental compositions of the structured materials. The performances of these materials were analyzed using ex situ solution-based, three-electrode electrochemical cells. Some of the prepared catalysts were further analyzed with laboratory scale [membrane electrode assemblies (MEAs) with a geometric surface area of 5 cm2] and industrial relevant scale [MEAs with a geometric surface area of 40 cm2] fuel cell test stations. The goal of this thesis is to demonstrate the preparation of these materials with commercially available materials and industrially compatible processes, which can be extended to further catalytic materials in the future for further enhancing the efficiencies of PEMFC systems.

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score0.880

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.015
GPT teacher head0.261
Teacher spread0.246 · 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