C‐doped <scp>SnO<sub>2</sub></scp> nanostructure/<scp>MoS<sub>2</sub></scp>/<scp>p‐Si</scp> electrodes for visible light‐driven photoelectrochemical hydrogen evolution reaction
Bibliographic record
Abstract
Summary Recently, the increase in the CO2 content in the Earth's atmosphere causes global warming and the rapid consumption of fossil fuel resources such as coal and oil. Therefore, effort is required to create clean and sustainable energy resources to address these environmental issues. In this context, hydrogen evolution from water splitting‐based photoelectrochemical technologies plays a significant role as a zero CO2 emission fuel. Here, we design and prepare carbon‐doped SnO2 nanostructures by a simple single‐step thermal decomposition method and coated on a MoS2/p‐Si substrate for hydrogen evolution by photoelectrochemical water splitting. The C‐doped SnO2/MoS2/p‐Si shows enhanced activity in the hydrogen evolution reaction, with an onset potential of −0.17 V at 2.73 mA/cm2, and high stability for over 45 hours. In addition, the doping of carbon influences the shape of the nanostructures, inducing their transformation from cubical rods to polyhedral structures. This study provides a promising method for the fabrication of heterogeneous photoelectrocatalysts for overall water splitting.
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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".