In situ X‐ray Absorption Spectroscopy of Platinum Electrocatalysts
Bibliographic record
Abstract
Abstract Platinum nanocatalysts have shown high performance in a wide variety of electrocatalytic reactions, making them the focus of many studies. High quality characterization results are vital for the proper understanding of a catalyst's structure and properties, allowing for further discoveries to be made. X‐ray absorption spectroscopy is a powerful characterization tool, permitting both the local structure and electronic properties to be determined for a sample of interest. This can be taken further by collecting in situ measurements, which offer the unique advantage of characterization results collected in real‐time while the catalytic reaction is taking place. This review summarizes recent studies which utilized in situ X‐ray absorption spectroscopy to characterize platinum nanocatalysts, highlighting the important structural parameters and electronic properties determined under the real catalytic reaction conditions. Specific examples of catalysts for use in the oxygen reduction reaction, chlorine evolution reaction, and carbon monoxide oxidation are discussed in detail. Future prospects for work in this field are also highlighted and discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".