Tailoring CO<sub>2</sub> Reduction with Doped Silicon Nanocrystals
Why this work is in the frame
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Bibliographic record
Abstract
Abstract More than 20 gigatonnes of carbon dioxide are released into the atmosphere every year. The conversion of CO 2 into value‐added chemicals and fuels by solar energy is an immediate solution to mitigate CO 2 emissions, while providing global energy security. In this work, boron‐ and phosphorus‐doped silicon nanocrystals (ncSi), comprised of three earth‐abundant elements, are investigated for gas‐phase heterogeneous photoreduction of CO 2 for the first time. Surface dopants are demonstrated to induce CO 2 adsorption capacity. Remarkably, phosphorus‐doped ncSi is found to be the best performer among the singly doped and co‐doped ncSi samples, doubling the rate of pristine ncSi. The enhancement of activity is attributed to the combination of the number of surface hydrides, its surface hydrophobicity, the addition of electronegative surface atoms, and perhaps an enhanced hydridic character of the SiH induced by the n‐doping effect. Significantly, boron and phosphorus dopants are shown to provide increased stability of CO 2 reduction activity compared to pristine ncSi after storing the samples in air for 2 weeks. These noteworthy findings open up a pathway to develop sustainable alternatives for existing photocatalysts for CO 2 conversion.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 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 it