Industrial‐current Ammonia Synthesis by Polarized Cuprous Cyanamide Coupled to Valorization of Glycerol at 4,000 mA cm<sup>−2</sup>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The electrocatalytic nitrate reduction (NO 3 RR) holds significance in both NH 3 synthesis and nitrate contamination remediation. However, achieving industrial‐scale current and high stability in membrane electrode assembly (MEA) electrolyzer remains challenging due to inherent high full‐cell voltage for sluggish NO 3 RR and water oxidation. Here, Cu 2 NCN with positive surface electrostatic potential V S (r) is applied as highly efficient NO 3 RR electrocatalysts to achieve industrial‐current and low‐voltage stable NH 3 production in MEA electrolyzer with coupled anodic glycerol oxidation. This paired electro‐refinery (PER) system reaches 4000 mA cm −2 at 2.52 V and remains stable at industrial‐level 1000 mA cm −2 for 100 h with the NH 3 production rate of 97000 µg NH3 h −1 cm −2 and a Faradaic efficiency of 83%. Theoretical calculations elucidate that the asymmetric and electron‐withdrawing [N−C≡N] units enhance polarization and V S (r), promoting robust and asymmetric adsorption of NO 3 * on Cu 2 NCN to facilitate O−N bond dissociation. A comprehensive techno‐economic analysis demonstrates the profitability and commercial viability of this coupled system. Our work opens a new avenue and marks a significant advancement in MEA systems for industrial NH 3 synthesis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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