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Laboratory-BasedAmbient-Pressure X‑ray PhotoelectronSpectroscopy for Pressure up to 1 bar

2025· article· W7116086407 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2025
Typearticle
Language
FieldMaterials Science
TopicElectron and X-Ray Spectroscopy Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsX-ray photoelectron spectroscopyNozzleBar (unit)Supersonic speedAmbient pressureCharacterization (materials science)Analytical Chemistry (journal)SpectroscopySupercritical fluid

Abstract

fetched live from OpenAlex

Ambient-pressure X-ray photoelectron spectroscopy (AP-XPS) is a rapidly developing technique with broad applications in surface science, catalysis, energy materials, and environmental science. In this study, we present a laboratory-based AP-XPS system that integrates the de Laval nozzle technology to generate a supersonic gas jet. The gas jet creates an ultrathin high-pressure (up to 1 bar) region directly above the sample surface, enabling XPS measurements at 1 bar with a laboratory-based AP-XPS system. The surface pressure was validated by using both a custom-built offline pressure measurement system and computational fluid dynamics simulations. Owing to its limited thickness (∼20 μm), this high-pressure region effectively minimizes gas–electron scattering under elevated pressures. Moreover, the gas delivery design establishes a localized low-pressure zone near the front cone, significantly reducing the load on the differential pumping stage. The method achieves XPS measurements at 1 bar, enhancing a laboratory-based AP-XPS platform for true ambient pressure characterization under certain industrially relevant catalytic conditions.

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), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.866
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2480.003

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 head0.015
GPT teacher head0.308
Teacher spread0.293 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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

Citations0
Published2025
Admission routes1
Has abstractyes

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