Solar Fuel Generation by 2D Self‐Assembled g‐C<sub>3</sub>N<sub>4</sub>/BiVO<sub>4</sub> Z‐Scheme
Bibliographic record
Abstract
Graphitic carbon nitride (g‐CN) is a promising photocatalyst for solar fuel generation due to its medium band gap and facile synthesis from earth‐abundant materials. However, low charge carrier mobility and high charge recombination have hampered the observed rate of H2 evolution and CO2 reduction. Herein, an electrostatically self‐assembled 2D Z‐scheme heterojunction between g‐CN and bismuth vanadate (BiVO4) is investigated with and without reduced graphene oxide (rGO) acting as an electron transfer mediator to speed charge carrier mobility and hamper charge recombination. Protonation of the g‐CN surface allow for self‐assembly between 2D sheets of g‐CN, rGO, and BiVO4. The mass ratio between g‐CN and BiVO4 is incrementally adjusted to optimize synergistic charge transportation effects versus shadowing effects of multicomponent photocatalysts. Further, a selectivity effect is observed across mass ratios of photocatalyst constituents, allowing tuning of photocatalyst yield.
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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 | 0.000 |
| 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".