Asymmetric electrode design with built‐in nitrogen transfer channel achieving maximized three‐phase reaction region for electrochemical ammonia synthesis
Bibliographic record
Abstract
Abstract Carbon‐free electrochemical nitrogen reduction reaction (NRR) is an appealing strategy for green ammonia synthesis, but there is still a significant performance bottleneck. Conventional working electrode is usually flooded by the electrolyte during the NRR test, and only the surface material could get access to the nitrogen, which inevitably gives rise to sluggish reaction rate. Herein, an asymmetric electrode design is proposed to tackle this challenge. An aerophilic layer is constructed on one face of the electrocatalyst‐loaded electrode, while the other side maintains its original structure, aiming to achieve facilitated nitrogen transfer and electrolyte permeation within the conductive skeleton simultaneously. This asymmetric architecture affords extensive three‐phase reaction region within the electrode as demonstrated by the combination of theoretical simulations and experimental measurements, which gives full play to the loaded electrocatalyst. As expected, the proof‐of‐concept asymmetric electrode delivers an NH3 yield rate of 40.81 μg h−1 mg−1 and a Faradaic efficiency of 71.71% at −0.3 V versus the reversible hydrogen electrode, which are more than 4 and 7 times that of conventional electrode, respectively. This work presents a versatile strategy for enhancing the interfacial reaction kinetics and is instructive to electrode design for gas‐involved electrochemical reactions.
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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) | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; 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".