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Record W4412541622 · doi:10.1149/ma2025-01402123mtgabs

Optimization of the Morphology of Mesoporous Carbon Scaffolds and Pt Loading Methods for Use in PEMFC Cathodes

2025· article· en· W4412541622 on OpenAlexaboutno aff
Yuxuan Wang, Shiva Ashoori, Ravi Prakash, Viola Birss

Bibliographic record

VenueECS Meeting Abstracts · 2025
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials scienceProton exchange membrane fuel cellCathodeMesoporous materialMorphology (biology)Carbon fibersChemical engineeringComposite materialNanotechnologyFuel cellsChemistryEngineeringGeologyElectrical engineeringComposite number

Abstract

fetched live from OpenAlex

Proton exchange membrane fuel cells (PEMFCs) represent a promising technology for reaching net-zero goals and reducing fossil fuel dependence, especially in the automotive sector. However, PEMFCs still face challenges, including sluggish oxygen reduction (ORR) kinetics, durability issues, and high cost. Current PEMFCs utilize 40 wt% Pt/C with typical loadings of 0.3-0.5 mgPt/cm 2 . Along with the required proton conductor and binder (most commonly Nafion), this contributes significantly to the overall cost of the system. Additionally, the microporous nature of conventional carbon supports and the tortuosity of pathways between carbon particles can limit Pt nanoparticle (NP) utilization and add mass transport resistance. Also, surface-loaded Pt NPs are prone to agglomeration, dissolution, and poisoning by the Nafion binder, resulting in diminished stability and performance. To overcome these problems, our team initially focussed on the development of various types of ordered mesoporous carbons, including powders 1,2 . We then prepared first-time fully interconnected, mesoporous, binder-free, and self-supported carbon scaffolds (NCS) 3 . These are 100% carbon, have controllable monodisperse pores (5 to >100 nm in size), tunable thicknesses from 0.1 to >1000 µm, and area scalability up to >150 cm 2 , high porosity (~90%), ultra-low tortuosity, and high real surface areas (up to 600 m 2 /g). After loading these sheets with Pt NPs and Nafion, the ORR kinetics, measured in an MEA, were very good, but mass transport limitations at high current densities were still seen, likely due to challenges of proton, water, and oxygen transport through the pore necks, which are significantly smaller than the pore diameters. Therefore, a bimodal NCS film was designed and evaluated 4 , consisting of spheres (~1 um diameter) containing 3D interconnected, organized, and monodisperse 12 nm pores, with the spheres connected to each other by carbon nanofibers, leaving large secondary pores between them to enhance mass transport. Using ALD for Pt NP deposition, record-breaking ORR kinetics were observed, and a limiting current of 2.5 A/cm 2 was reached 4 . These results were somewhat surprising, as the Pt NPs are located inside the 12 nm pores inside the spheres, while Nafion is size-excluded from these pores due to their small 5 nm pore necks. However, the screening of Nafion from contacting Pt seems to prevent Nafion poisoning and yield better performance. However, mass transport limitations are still present, likely as the relatively large Pt-containing spheres present a long pathway for oxygen and protons to reach the Pt NPs in the absence of Nafion. To mitigate this issue, we are now preparing a range of bimodal NCS-12 scaffolds with significantly smaller spheres (200-500 nm) to decrease the diffusion length for oxygen and protons and improve accessibility to the catalytic Pt NPs. Using a hard-templating method, several different NCS12 materials have been made, with Pt NPs again loaded using ALD to achieve more control. The goal is to correlate structural differences of the bimodal carbon membrane with cathode performance in an MEA. The results indicate that the Pt ALD process does not alter the NCS-12 morphology, giving similar BET surface area, pore size and pore neck sizes before and after Pt deposition. TEM and FESEM analysis show that the Pt NP size and distribution is uniform throughout the NCS-12 thickness, ranging from 15-25 µm. Initial electrochemical testing in 0.5 M sulfuric acid solutions gave the real Pt surface area from Hupd (hydrogen underpotential deposition) and CO stripping measurements, using NCS-12 sheets with different Pt loadings. For ultra-low Pt loadings of < 2 wt%, confirmed by ICP and EDX analysis, unique CV profiles for both CO stripping and Hupd were observed, with HAADF-STEM analyses confirming that the Pt NPs are very small under these conditions. Interestingly, the ORR still exhibited a fairly impressive onset potential, suggesting that a highly active Pt state was achieved. Electrochemical performance testing is also being carried out using the ALD-Pt/NCS12 sheets at the cathode of an MEA, with the results compared to those obtained in aqueous media. Accelerated stress testing on the Pt NPs and the NCS-12 carbon support material was also performed following DOE protocols. Acknowledgements We thank Dr. Marwa Atwa, Dr. Anand Singh, and Dr. Scott Paulson for useful discussions and also acknowledge financial support from the Natural Sciences and Engineering Research Council of Canada. References Li and M. Jaroniec, J. Am. Chem. Soc., 123, 9208–9209 (2001). Atwa et al., Chem. Mater. (2023). Atwa et al., Mater. Horiz., 8, 2451–2462 (2021). Atwa et al., ChemRxiv (2024).

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.579
Threshold uncertainty score0.275

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.014
GPT teacher head0.268
Teacher spread0.254 · 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".

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Citations1
Published2025
Admission routes1
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