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Record W4391805372 · doi:10.1380/ejssnt.2024-004

<i>In situ</i> Study on Structure of a Diluted Pt/HOPG Model Catalyst System Prepared by the Two-phase Liquid Reduction Method Using a Novel BCLA/HERFD+BI-XAFS Method

2024· article· en· W4391805372 on OpenAlexfundno aff
Kaiyue Dong, Bing Hu, Md Harun Al Rashid, Bang Lu, Keiko Miyabayashi, Kotaro Higashi, Tomoya Uruga, Yasuhiro Iwasawa, Daiki Kido, Satoru Takakusagi, Kiyotaka Asakura

Bibliographic record

Venuee-Journal of Surface Science and Nanotechnology · 2024
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsnot available
FundersJapan Society for the Promotion of ScienceHokkaido UniversityCanadian Institute for Theoretical Astrophysics
KeywordsIn situCatalysisLiquid phaseMaterials sciencePhase (matter)Reduction (mathematics)Chemical engineeringChemistryNuclear chemistryOrganic chemistryPhysicsEngineeringThermodynamics

Abstract

fetched live from OpenAlex

The structure of monolayer Pt nanoparticles (Pt NPs) dispersed on a flat highly oriented pyrolytic graphite surface prepared by two-phase reduction method as a model catalyst for fuel cell systems was studied by a bent crystal Laue analyzer enhanced back-illuminated X-ray absorption fine structure (BCLA+BI-XAFS) technique. The BCLA+BI-XAFS technique enables us to investigate the in situ Pt NPs structure in 0.1 M HClO4 solutions while applying a wide range of potentials. We found that Pt NPs have a stable framework of a cuboctahedron with about 309 Pt atoms and a Pt–Pt bond length of 2.76 ± 0.06 Å independent of applied potential. The application of high energy resolution fluorescence detection back-illuminated X-ray absorption near edge structure (HERFD+BI-XANES) successfully elucidated the relationship between surface species and applied potential. We revealed the origin of the high stability of the Pt NPs prepared by the two-phase liquid reduction method. This developed BI-XAFS method provides a new way to investigate Pt NPs on flat substrates as a model catalyst for fuel cell catalyst studies.

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)0.009
metaresearch head score (Gemma)0.001
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 score0.046
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0020.001
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 head0.023
GPT teacher head0.335
Teacher spread0.313 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venuee-Journal of Surface Science and NanotechnologySame topicCatalytic Processes in Materials ScienceFrench-language works237,207