Linker‐Modulated Peroxide Electrosynthesis Using Metal‐Organic Nanosheets**
Bibliographic record
Abstract
Abstract The electrochemical synthesis of hydrogen peroxide (H 2 O 2 ), a widely used oxidant, is emerging as a green alternative to the conventional anthraquinone method. In this work, Ni‐based metal‐organic nanosheet (Ni−MON) catalysts constructed using a variety of linkers were studied as oxygen reduction catalysts. Using a host of analytical techniques, we reveal how modulating the terephthalic acid linker with hydroxy, amine, and fluorine groups impacts the resulting physical and electronic structure of the Ni catalytic sites. These changes further impact the catalysts’ Faradaic Efficiency for H 2 O 2 , with the Ni−Amine−MON reaching near 100 % FE at minimal overpotential for the 2 e − H 2 O 2 pathway in alkaline electrolyte. Finally, we translate the Ni−Amine−MON catalyst to a gas‐diffusion reaction geometry and demonstrate a H 2 O 2 partial current density of 200 mA/cm 2 while maintaining 85 % Faradaic efficiency. In all, this study puts forth a simple route to catalyst modulation for highly effective H 2 O 2 electrosynthesis.
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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".