Understanding the light-induced oxygen vacancy in the photochemical conversion
Bibliographic record
Abstract
Abstract The formation of light-induced oxygen vacancy (VO) is detected and confirmed on the surface of various metal-oxide-based semiconductors under mild reaction conditions with low cost energy source (sunlight). This self-structural transformation of the materials can bring about new characteristics and functionalities, which has inspired many researchers to explore the applications of light-induced VO in the photochemical conversion. In this perspective, generating and maintaining the light-induced VO are discussed based on some of the important work in the field of photochemical conversion. The effects and utilizations of the light-induced VO are revealed including the models proposed to explain mechanism. Then, the electric current measurements and key challenges of the light-induced VO are also summarized in a comprehensive introduction. Finally, some important aspects and questions in terms of the future research of light-induced VO are emphasized via discussing the potential contribution and development. And the schematic of future developments for light-induced VO is provided based on loop-locked materials design, light engineering and mechanism investigation.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".