Atmospheric water cluster–catalyzed formation of nitroaromatics as a secondary aerosol source
Bibliographic record
Abstract
Nitroaromatic compounds (NACs) are an abundant class of compounds in atmospheric particulate matter, exerting considerable impacts on air quality, climate, and public health. They are typically derived from secondary formation, which is generated through atmospheric chemical reactions involving precursor compounds, such as phenolic compounds. However, information on NAC formation mechanisms remains limited. Here, we found that particulate-phase NAC concentrations were notably affected by relative humidity (RH) in field observations. Smog chamber experiments indicated that RH could influence NAC formation via changes in gaseous water concentration, rather than solely through aerosol liquid water content. Theoretical calculations further clarified that water clusters (WCs), formed from gaseous water, can notably lower reaction energy barriers along the NAC formation pathway, rendering this pathway competitive under atmospheric conditions. Hence, we propose a potential mechanism in which WCs catalyze NAC formation, offering a previously unidentified perspective on atmospheric secondary aerosol formation.
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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) | 0.003 | 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".