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Record W3045541049 · doi:10.1088/2516-1075/abaa2e

X-ray absorption fine structure measurements on Ru–Zn/ZSM-5 during heterogeneous catalysis using an <i>in situ</i> spectroscopic cell

2020· article· en· W3045541049 on OpenAlexafffund
Lijia Liu, Peng He, Yujian Xia, Hua Song, Lo‐Yueh Chang, Jeng‐Lung Chen, Chih‐Wen Pao

Bibliographic record

VenueElectronic Structure · 2020
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsUniversity of Calgary
FundersMitacsNational Natural Science Foundation of China
KeywordsX-ray absorption fine structureCatalysisChemistryAbsorption (acoustics)XANESAromatizationAnalytical Chemistry (journal)Physical chemistryMaterials scienceSpectroscopyOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract We introduce a design of a portable, multi-functional spectroscopic cell for in situ structural probe of materials using hard x-rays. This versatile reaction cell allows x-ray absorption fine structure (XAFS) and x-ray diffraction measurements in transmission mode on solids at a controlled temperature, pressure, and gas environment. A model heterogeneous catalysis system, co-aromatization of octane with methane catalyzed by Ru–Zn/ZSM-5, was employed to demonstrate the performance of the spectroscopic cell. Quick XAFS measurement at the Ru K-edge was performed during the catalyst activation and catalysis reaction. The chemical reduction of Ru from RuO 2 to metallic-like Ru is found to occur rapidly once the temperature is above a threshold, and the reduction is completed in ∼75 s. Prolonged heating during catalysis reaction at constant operating temperature has a minimum effect on the electronic structure of the Ru species.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 science0.0010.000
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 head0.018
GPT teacher head0.247
Teacher spread0.230 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2020
Admission routes2
Has abstractyes

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