(Invited) Mechanisms of Nitrogen Cycle Electrochemistry for Energy and Sustainability
Bibliographic record
Abstract
The production scale of ammonia is significant and is continuing to expand for applications in agriculture and energy. The degradation of its access is imperative to nitrogen balance. While at present thermocatalytic reactions to produce ammonia (Haber-Bosch process), nitric acid (Ostwald process) and urea (Bosch-Meiser process) dominate the artificial nitrogen cycle, the transition to sustainable production is currently driven by the development of electrochemical methods to replace traditional practices. Nitrogen cycle electrocatalysis, including nitrogen fixation, degradation and transformation of available nitrogen are attracting considerable attention in recent years. This talk will first briefly overview the emerging electrocatalytic technologies for both sustainable production of ammonia/urea and ammonia pollution mitigation; after this introduction, the talk will focus on the developments in electrooxidative ammonia and urea transformations in the broader context of nitrogen cycle and the complementarity and synergy of nitrogenous waste electrooxidation with cathodic production of fuels; finally, it will provide mechanistic insights into these electrocatalytic transformations to facilitate rational reaction and catalyst design.
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.
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 | 0.000 | 0.001 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".