Enhancement of Hydride-terminated Silicon Nanocrystals for Gas-phase Heterogeneous Carbon Dioxide Reduction
Bibliographic record
Abstract
Utilization of solar energy for the conversion of carbon dioxide into fuels and chemical feedstocks serves as a promising solution to mitigate anthropogenic greenhouse gas emissions while providing global energy security and environmental protection. Silicon nanocrystals (ncSi) are attractive materials for the photoreduction of CO2 due to their favorable earth-abundance, non-toxicity, optical properties, and high surface area. Herein, through rational modification of ncSi by introducing boron and phosphorus dopants utilizing a novel, facile sol-gel synthesis, it was demonstrated that dopants successfully enhanced the gas-phase CO2 adsorption capacity and solar fuel production rate. Remarkably, it was found that phosphorus-doped ncSi was the best performer among the various ncSi samples due to the combination of the number of surface hydrides and the addition of electronegative surface atoms. Preliminary results of the optimization of reaction conditions in a batch photoreactor enabled an enhancement of the solar fuel production rate.
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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".