Advances in 2D/2D Z‐Scheme Heterojunctions for Photocatalytic Applications
Bibliographic record
Abstract
Semiconductor‐based photocatalysis technology has attracted widespread attention due to its great potential for solving both energy and environmental problems through direct utilization of inexhaustible solar energy. Among various photocatalysts, 2D/2D Z‐scheme heterojunctions exhibit superior performance in various photocatalytic applications, due to their large interfacial contact and rapid Z‐scheme charge transfer with the efficient separation of photogenerated charge carriers and maximized redox ability. In this review, the historical development of, requirements for the formation of, and identification methods of Z‐scheme heterojunctions are first introduced, followed by the summary of important advantages of 2D materials and 2D/2D heterojunctions in photocatalysis. Subsequently, a special focus is put on the recent advances of 2D/2D Z‐scheme heterojunctions for photocatalytic applications, including photocatalytic H2 production, CO2 reduction, and degradation of pollutants. Finally, a brief summary and perspectives on the challenges and future research topics of 2D/2D Z‐scheme heterojunction photocatalysts are presented.
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 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".