Lewis acid–dominated aqueous electrolyte acting as co-catalyst and overcoming N <sub>2</sub> activation issues on catalyst surface
Bibliographic record
Abstract
The growing demands for ammonia in agriculture and transportation fuel stimulate researchers to develop sustainable electrochemical methods to synthesize ammonia ambiently, to get past the energy-intensive Haber-Bosch process. However, the conventionally used aqueous electrolytes limit N 2 solubility, leading to insufficient reactant molecules in the vicinity of the catalyst during electrochemical nitrogen reduction reaction (NRR). This hampers the yield and production rate of ammonia, irrespective of how efficient the catalyst is. Herein, we introduce an aqueous electrolyte (NaBF 4 ), which not only acts as an N 2 -carrier in the medium but also works as a full-fledged “co-catalyst” along with our active material MnN 4 to deliver a high yield of NH 3 (328.59 μg h −1 mg cat −1 ) at 0.0 V versus reversible hydrogen electrode. BF 3 -induced charge polarization shifts the metal d-band center of the MnN 4 unit close to the Fermi level, inviting N 2 adsorption facilely. The Lewis acidity of the free BF 3 molecules further propagates their importance in polarizing the N≡N bond of the adsorbed N 2 and its first protonation. This push-pull kind of electronic interaction has been confirmed from the change in d-band center values of the MnN 4 site as well as charge density distribution over our active model units, which turned out to be effective enough to lower the energy barrier of the potential determining steps of NRR. Consequently, a high production rate of NH 3 (2.45 × 10 −9 mol s −1 cm −2 ) was achieved, approaching the industrial scale where the source of NH 3 was thoroughly studied and confirmed to be chiefly from the electrochemical reduction of the purged N 2 gas.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".