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Record W2325548097 · doi:10.1149/1.2981981

The Effect of Pt Cluster Size on Micro-Morphology of PEMFC Catalyst Layers- A Molecular Dynamics Simulation

2008· article· en· W2325548097 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueECS Transactions · 2008
Typearticle
Languageen
FieldChemistry
TopicAdvanced Physical and Chemical Molecular Interactions
Canadian institutionsBC Innovation CouncilNational Research Council CanadaUniversity of Victoria
Fundersnot available
KeywordsMicrostructureCluster (spacecraft)Materials scienceMolecular dynamicsFabricationMerge (version control)Morphology (biology)NanotechnologyCatalysisProton exchange membrane fuel cellChemical physicsChemical engineeringRadial distribution functionComposite materialChemistryComputational chemistryComputer science

Abstract

fetched live from OpenAlex

An equilibrium molecular dynamics simulation is employed to investigate the morphology changes inside the catalyst layer (CL) due to different sizes of Pt particles. The microstructure formed during the fabrication stage determines majority of the CL performance. Different sizes of the nano Pt particles are formed during the fabrication process. It is important to investigate the relation between the microstructure and the Pt cluster sizes. Different sizes (about 1, 2 and 3 nm) of Pt particles are considered in the present work. It was found that the small Pt particles (case of 1 nm) tend to merge to form a larger Pt cluster. This was not so in the case of lager Pt particles (2nm and 3nm). The microstructure formed at various Pt cluster sizes is shown to be quite different. Detailed information about the structure was obtained by carrying out structural analysis in view of radial distribution function (RDF)

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 score0.078
Threshold uncertainty score0.450

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)0.0000.000

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 head0.004
GPT teacher head0.241
Teacher spread0.237 · 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