They also identify chemical parameters to be further constrained in lab and field studies. The authors propose how complementary techniques, such as machine learning and molecular dynamics, can be used to constrain the resulting model complexity. Similarly, the complexity of multiphase chemistry models has been increasing to include in detail the underlying chemical processes and phase transfers between gas, aqueous, and organic phases. In this article, significant advancements in measurement techniques during the past 20 years are briefly described that led to the identification of thousands of organic compounds and molecular-scale processes within the atmospheric multiphase system. aerosol particles and cloud droplets surrounded by a gas phase, has been recognized for several decades to affect the atmospheric composition. The role of chemical reactions within the atmospheric multiphase system, i.e. Wennberg, Armin Wisthaler, Glenn Wolfe, Caroline Womack, Lu Xu, Robert Yokelson, and Carsten Warneke Veres, Rebecca Washenfelder, Petter Weibring, Paul O. Tanner, Laura Tomsche, Krystal Vasquez, Patrick R.
Schwarz, Kanako Sekimoto, Vanessa Selimovic, Taylor Shingler, David J. Nowak, Demetrios Pagonis, Jeff Peischl, Anne E. Katich, Aaron Lamplugh, Young Ro Lee, Jin Liao, Jakob Lindaas, Stuart A.
Hanisco, Reem Hannun, Alan Hills, Gregory Huey, Jose L. Day, Joshua DiGangi, Glenn Diskin, Alan Fried, Jessica Gilman, Hongyu Guo, Johnathan W.
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