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<scp>TEM</scp>investigation of the effects of cycling on electrochemically stable hybrid<scp>Pt@NbOx</scp>nanocatalysts

2016· other· en· W4240829222 on OpenAlexaff
Lidia E. Chinchilla, David Rossouw, Tyler Trefz, Natalia Kremliakova, Gianluigi A. Botton

Bibliographic record

VenueEuropean Microscopy Congress 2016: Proceedings · 2016
Typeother
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsAutomotive Fuel Cell Cooperation (Canada)McMaster University
Fundersnot available
KeywordsPlatinumProton exchange membrane fuel cellMaterials scienceNanomaterial-based catalystChemical engineeringCatalysisElectrochemistryNanotechnologyAnodeNanoparticleChemistryElectrode

Abstract

fetched live from OpenAlex

Renewable energies and fuel cell technologies will likely play a major role in reducing our dependency on fossil fuels. In particular, proton exchange membrane fuel cells (PEMFCs) are suitable for use in both domestic and automotive applications. This sophisticated technology requires a functional nanostructured material that contains platinum to catalyse both the hydrogen oxidation reaction (HOR) and the oxygen reduction reaction (ORR) to produce water, electricity, and heat. [1] Unfortunately, in spite of their remarkable potential, the high cost and degradation of platinum‐based catalytic materials have been a barrier to widespread adoption of this type of technology. Reducing platinum content while simultaneously improving the durability will therefore require novel approaches in the catalyst design and its characterization at nanoscale level. [2] Transmission Electron Microscopy (TEM) techniques have continued to play a major role in the design and characterization of PEMFC materials. Using an aberration‐corrected microscope (Titan cubed 80‐300), we investigated the structural stability over the lifetime of a proposed fuel cell cathode material containing nano‐particulate platinum on a NbOx‐carbon hybrid support. The characterization of this material included a series of ex‐situ TEM analyses before or after accelerated stress tests that cycled the sample 30,000 times between 0.6 and 1.0 V in an electrochemical cell. The histograms shown in Fig1a and b reveal that some metal particle coarsening occurred during the 30,000‐cycle test. The as‐prepared catalyst contained 1–5 nm particles, the majority of which were determined to be bimetallic, as determined by electron energy loss spectroscopy (EELS), with some Pt‐rich particles and Nb‐rich grains (Fig. 1c). After 30,000 cycles, microanalysis data confirms that the cycling treatment caused some agglomeration of the small Pt‐rich particles. Analysis of the EELS oxygen K ionization edge indicates that multiple niobium oxidation states are present in the system, predominantly Nb(V) before electrochemical cycling (Fig 1c). Although conventional image comparisons between the initial and final state of the hybrid catalyst suggest that the Pt particle size increased marginally, in order to obtain an improved understanding of the material's degradation, morphological and structural evolution of the particles and hybrid support were tracked using the so‐called Identical Location TEM technique [3]. The results in figure 2 indicate that no large‐scale degradation of the hybrid support took place, suggesting carbon corrosion was minimized. In addition, only minor changes occurred to the average particle size, demonstrating the excellent stability of the metallic particles. These findings demonstrate that highly dispersed Pt/NbO x on carbon support material is a promising electrocatalyst for PEMFC.

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)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.196
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.004
GPT teacher head0.209
Teacher spread0.204 · 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
GenreOther

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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Citations0
Published2016
Admission routes1
Has abstractyes

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