Exfoliated carbon nitride nanosheets decorated with NiS as an efficient noble-metal-free visible-light-driven photocatalyst for hydrogen evolution
Bibliographic record
Abstract
A binary composite composed of two dimensional (2D) ultrathin carbon nitride (C3N4) nanosheets and NiS nanoparticles was synthesized and applied as a noble-metal-free photocatalyst for hydrogen evolution under visible light irradiation. The ultrathin nanosheets of C3N4 were obtained by a facile liquid exfoliation method and used as 2D supports for the deposition of NiS nanoparticles. In the binary composite, the ultrathin C3N4 nanosheets acted as a visible light responding semiconductor, and the NiS nanoparticles served as a noble-metal-free cocatalyst. The binary composite with an optimized composition gave a hydrogen evolution rate comparable to that of Pt modified C3N4. Moreover, compared to bulk C3N4, the exfoliated C3N4 nanosheets distinctly improve the photocatalytic performance for hydrogen evolution. The photocatalytic results combined with photoelectrochemical experiments show that C3N4 with an ultrathin structure promotes the electron-hole separation and transportation during the process of the photoinduced hydrogen evolution. This study displays a facile method to build a low-cost but effective photocatalyst for hydrogen production under visible light irradiation.
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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) | 0.000 | 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 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".