Nanocomposite of Ni–Ti‐layered double hydroxide and graphene for enhanced vis‐light photocatalysis
Bibliographic record
Abstract
Novel nanocomposite, in which nickel–titanium (Ni–Ti)‐layered double hydroxide (LDH) nanoplates were deposited on the surface of graphene nanosheets (GNSs), was synthesised by a simple in situ crystallisation technique. Owing to the introduction of GNS and the formation of layered heterostructure, the visible (vis)‐light absorption was enhanced, while the recombination probability of photogenerated electron–hole pairs was decreased. As a result, the obtained Ni–Ti LDH/GNS composite showed an enhanced vis‐light photocatalytic performance for the degradation of methylene blue. The corresponding photocatalytic mechanism was discussed according to the active species capture experimental results, which indicated that the active species of • OH was the most crucial one while O 2 •− and h + were the less crucial ones. This work may provide an insight for designing graphene‐based layered photocatalysts with a high performance.
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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".