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Record W4256458554 · doi:10.1149/ma2017-02/32/1405

Advances in Structural Characterization Using Soft X-ray Scanning Transmission Microscopy (STXM): Mapping and Measuring Porosity in PEM-FC Catalyst Layers

2017· article· en· W4256458554 on OpenAlexaffabout
Viatcheslav Berejnov, Madhu Sudan Saha, Darija Susac, Jürgen Stumper, Marcia West, Adam P. Hitchcock

Bibliographic record

VenueECS Meeting Abstracts · 2017
Typearticle
Languageen
FieldMaterials Science
TopicElectron and X-Ray Spectroscopy Techniques
Canadian institutionsMcMaster UniversityAutomotive Fuel Cell Cooperation (Canada)
Fundersnot available
KeywordsMaterials sciencePorosityElectrodeFocused ion beamScanning electron microscopeMicroscopyAnalytical Chemistry (journal)Chemical engineeringComposite materialChemistryOpticsIonChromatography

Abstract

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Access of fuel and oxidant gases to the active catalyst sites in dispersive electrodes of polymer electrolyte membrane fuel cells (PEM-FC) is an important characteristic defining the performance of the whole catalyst coated membrane unit (CCM). The electrode porosity – the ratio of empty space to the whole volume of the electrode – is a metric widely used to characterize the ability of a particular electrode to provide gas transport. It is common practice to present electrode porosity as a number averaged over a macroscopic volume of the electrode [1]. In compliment to already established methods, soft X-ray scanning transmission X-ray microscopy (STXM) offers the possibility to visualize the microscopic network of the pore space in the electrode with ~30 nm spatial resolution. Thus, in addition to average porosity, STXM provides porosity distributions in electrodes, with a local value averaged per voxel of ~100 3 nm 3 . Relative to studies of the electrode porosity visualized by the focused ion beam – scanning electron microscopy method (FIB-SEM) [2], STXM provides direct visualization of the pore-space in the electrode without destroying the sample and omitting the 3D reconstruction process. Here we present STXM porosity distribution for 2D projection of the thin cathode lamella. STXM pore space visualization relies on filling the pores with a material that STXM can discriminate spectroscopically relative to the other components (carbon support, ionomer, and metal catalyst-Pt) [3]. In these experiments the cathode catalyst decals are embedded with a custom epoxy (TTE, the product of reacting trimethylolpropane triglycidyl ether and 4,4’-methylenebis(2-methylcyclohexylamine in 1:1 wt ratio, which results in a final chemical formula (C 10 H 10 N 3 ) n and density of 1.0 g/cm 3 ). While the TTE epoxy is fluid it wets well the electrode inner interfaces filling most of the available space. 100 nm thick microtomed sections of the cathode embedded in TTE are measured by STXM at the C 1s edge at the Canadian Light Source (Saskatoon) or the Advanced Light Source (Berkeley). The C1s stacks, consisting of images at 50-70 energies over 280-330 eV with 100 nm pixels, are converted to optical density, and then fit using standard, quantitative reference spectra (OD1 scale) of carbon-support (Cs), ionomer (I), TTE and Pt components to construct 2D component maps of each component. The grayscale value at each pixel is the nm thickness of that component. The total volume is the sum of Cs, I, TTE, and Pt values at each pixel. The 2D porosity map is then the ratio of the TTE map to the total-volume map, where each pixel has a unit of part per volume (ppvol). STXM performed using BL 10ID1 at CLS and BL 5.3.2.2 at ALS. Research supported by NSERC. S. Shukla, et.al., 231 ECS 2017, Abst 97034, https://ecs.confex.com/ecs/231/webprogram/Paper97034.html M.Sabharwal, et al., Fuel Cell, 16 (2016) No.6, 734–753 H. Ade, et al., Polymers, 49 (2008) 643-675 Figure 1

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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 categoriesMeta-epidemiology (narrow)
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 score0.160
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.001
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 head0.018
GPT teacher head0.286
Teacher spread0.268 · 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.

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

Citations0
Published2017
Admission routes2
Has abstractyes

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