Aerosol Research
Aerosol Research
Aerosol Research
Articles | Volume 3, issue 2
Articles | Volume 3, issue 2
https://doi.org/10.5194/ar-3-417-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ar-3-417-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 3, issue 2
Research article
 | 
04 Jul 2025
Research article |  | 04 Jul 2025

A theory-informed, experiment-based constraint on the rate of autoxidation chemistry – an analytical approach

Lukas Pichelstorfer, Simon P. O'Meara, and Gordon McFiggans

Viewed

Total article views: 643 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
496 110 37 643 72 46 101
  • HTML: 496
  • PDF: 110
  • XML: 37
  • Total: 643
  • Supplement: 72
  • BibTeX: 46
  • EndNote: 101
Views and downloads (calculated since 16 Dec 2024)
Cumulative views and downloads (calculated since 16 Dec 2024)

Viewed (geographical distribution)

Total article views: 643 (including HTML, PDF, and XML) Thereof 643 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 02 Oct 2025
Download
Short summary
Quantification of autoxidation chemistry is a complex task essential to our understanding of atmospheric secondary aerosol formation and its impact on climate. In this work, we introduce the autoCONSTRAINT module, a semi-empirical method for deducing reaction rate coefficients for lumped autoxidation chemistry schemes based on experimental data. The theoretical approach is analytical and provides mathematically correct though non-unique solutions with low computational cost.
Read more
Share
Altmetrics
Final-revised paper
Preprint