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Record W7036596122

Characterization of doping atoms (Ta, Nb) in advanced PEM fuel cell supports and catalysts as well as of the surface-solvent interaction of laser-generated Pt nanoparticles : A XAFS study

2016· dissertation· en· W7036596122 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

Venuebonndoc (University of Bonn) · 2016
Typedissertation
Languageen
FieldEnvironmental Science
TopicCrustacean biology and ecology
Canadian institutionsnot available
FundersNational Research Council CanadaWestern Economic Diversification CanadaNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchCanadian Light Source
KeywordsXANESX-ray absorption fine structureCatalysisExtended X-ray absorption fine structureDopantNanoparticleDopingProton exchange membrane fuel cellCarbon fibersCoordination number
DOInot available

Abstract

fetched live from OpenAlex

PEM fuel cells are an interesting energy source for mobile applications. Efforts to improve their weaknesses cost, performance, and durability include improving the catalysts’ supports. Encouraging approaches are C-TiO<sub>2</sub> hybrid and core-shell supports whereas titanium dioxide is commonly doped to increase its electric conductivity.<br /> In this thesis I studied the impact of Ta-/Nb- co-doping on a TiO<sub>2</sub> nano-support, C-TiO<sub>2</sub> hybrid/core-shell supports made by adding two kinds of carbon black and a Pt-TiO<sub>2</sub> catalyst-support unit. XANES results show that both dopants replaced Ti atoms and are statistically distributed in their respective TiO<sub>2</sub> host structure (which is either predominantly rutile or anatase). There is also evidence of interaction between these dopants and both the carbon supports as well as Pt catalyst, most likely via bridging oxygen atoms. EXAFS analysis reveals that Nb incorporation did distort the TiO<sub>2</sub> host structure of at least one sample to a greater extent compared to Ta incorporation. The core-shell support displays the highest degree of disorder and smallest particle size, which is most likely correlated.<br /> Reduction/oxidation experiments show that Pt atoms in PtPd nano-catalysts supported on C-TiO<sub>2</sub> hybrid nano-supports have a low affinity for oxidation and are easily reduced.<br /> Pulsed laser ablation in liquid (PLAL) has proven its usefulness as a nanoparticle (NP) synthesis method alternative to traditional chemical reduction methods.<br /> Additive-free Pt NPs were synthesized by PLAL and their interaction characterized in situ with H<sub>2</sub>O, a sodium phosphate buffer and sodium citrate as well as a TiO<sub>2</sub> support. XANES results indicate that the respective NP-solvent interaction varies in strength. The ions added ex situ diffuse through the particles’ electric double layer and interact electrostatically with the Stern plane. Consequently, these ions weaken the interaction of the functional OH-groups which are bound to the partially oxidized platinum surfaces and cause their partial reduction. Comparing XANES/EXAFS spectra of laser-generated with wet-chemically synthesized Pt NPs indicate different types of Pt-O bonds: a Pt(IV)O<sub>2</sub>-type in case of wet-chemical and a Pt(II)O-type in case of laser-generated NPs. A comparison of unsupported laser-generated platinum NPs in H<sub>2</sub>O with TiO<sub>2</sub>-supported ones shows no whiteline intensity differences and also an identical number of Pt-O bonds in both cases. This suggests that in the deposition process at least part of the double layer coating stays intact and that the ligand-free particle properties are preserved.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.516
Threshold uncertainty score0.595

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)0.0010.000

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 head0.005
GPT teacher head0.200
Teacher spread0.195 · 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