Enhanced Photocatalytic CO<sub>2</sub> Reduction by Amine Functionalization of Graphitic Carbon Nitride
Bibliographic record
Abstract
Graphitic carbon nitride (g‐CN) is a promising photocatalyst for solar fuel generation, but its charge carrier mobility, charge recombination, and CO2 reduction/H2 evolution efficacy and selectivity are a strong function of the synthesis and postsynthesis techniques employed. Protonation and phosphorous doping of g‐CN yield promise visible light activities, promoting enhanced CO2 reduction and hydrogen evolution. However, the amine‐functionalized surface chemistry of g‐CN gains little attention in open literature. Herein, g‐CN and phosphorus‐doped g‐CN are synthesized via facile one‐pot pyrolysis and subjected to protonation postsynthesis to quantify the influence of common strategies on surface amine content and photocatalyst activity for H2 evolution and CO2 reduction. Material characterization confirms the exfoliation of the photocatalyst and change in the amine functionalization of the surface. The amorphous phosphorus‐doped g‐CN material exhibits a high number of surface amine groups, increasing the adsorption prior to reduction and enhancing selectivity for CO2 reduction.
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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".