Facet engineering of semiconductors for boosting photo-charge separation in solar fuel production
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Photocatalysis promises green production of chemicals by using the inexhaustible solar energy, but the low photocatalytic activity of most semiconductors due to charge recombination remains a key barrier to their application. Recently, facet engineering of single semiconductor particles has emerged as an effective strategy to precisely tune the energetic structure, thereby lowering the charge recombination and enhance solar fuel production. Multiple approaches for facet engineering have been developed to construct efficient photocatalysts. In this review, the fundamental principles and the common facet-engineering approaches for improving the photo-charge separation and solar fuel production of semiconductors are summarized, focusing on how the various faceted particles modification strategies tune the inbuilt electric field and reaction kinetics. Additionally, the challenges and future trends in development of facet-engineered photocatalysts were discussed.
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.
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 | 0.001 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it