Non‐Metal Silicon Single‐Atom Catalysts with Unsymmetrically Tetradentate O <sub>3</sub> N <sub>1</sub> Moiety Enabling Ampere‐Level H <sub>2</sub> O <sub>2</sub> Electrosynthesis
Bibliographic record
Abstract
Abstract The development of efficient and stable catalysts for scalable and sustainable hydrogen peroxide (H 2 O 2 ) electrosynthesis via two‐electron oxygen reduction reaction (2e‐ORR) is of great significance to replace the high‐pollution anthraquinone oxidation process. Herein, O/N dual‐coordinated silicon (Si) single‐atom catalysts (SACs) uniformly immobilized on N‐doped graphene (SiO 3 ‐NC) are successfully synthesized using silicate as Si dopant via controllable solvothermal and nitridation processes. In the synthesize reaction, Si centers convert from Si–O 3 planar triangle to unsymmetrical Si–O 3 N 1 tetrahedron, which effectively modify the electronic distribution of the carbon matrix, providing high‐density active sites for electrocatalytic H 2 O 2 production. SiO 3 ‐NC catalysts achieve industrial‐relevant current densities for H 2 O 2 production with a record‐high productivity of 63.69 mol h −1 g cat. −1 , while maintaining exceptional Faradaic efficiencies and stability. In situ spectroscopic studies and theoretical calculations uncover that the unsymmetrically Si–O 3 N 1 configuration acts as an active center, which affords near‐optimal binding strength for OOH* adsorption and accelerates the kinetics of H 2 O 2 formation, thus promoting 2e‐ORR process.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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; both teacher heads agree on what is shown here.
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".