Understanding Photoelectrochemical Water Oxidation with X-ray Absorption Spectroscopy
Bibliographic record
Abstract
Synchrotron radiation-based X-ray absorption spectroscopy (XAS) has been demonstrated to be a powerful and effective characterization tool in comprehensively and deeply understanding the photoelectrochemical (PEC) water-splitting process owing to its unique capability in probing the electronic structure changes of photoelectrodes. In this Review, we present the most recent achievements in the past few years of synchrotron XAS techniques for the advanced investigation of hematite and other commonly used photoanodes. By focusing on the unique and powerful roles that XAS played in identifying the chemical compositions and exploring the working mechanism of various photoanodes, we will provide an in-depth understanding on how the XAS technique can guide the design of efficient photoanodes and contribute to the further development of PEC water splitting. The Review is also expected to stimulate more interest from the PEC community in general for taking advantage of XAS to facilitate their research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".