Atmospheric scientists routinely use laboratory setups called environmental chambers to study how air pollution forms from the breakdown of organic gasses. Essentially, these experiments involve the creation of a contained, highly controlled synthetic atmosphere. While these experiments are very useful, they also have limitations; for example, the conditions in the chamber might not be representative of the real atmosphere, meaning that reactions will happen that are unrealistic. Further, chamber experiments tend to take a long time, meaning that only a few different conditions can be tested. To attempt to better understand and ultimately overcome these limitations, we run thousands of computer simulations using realistic chemical starting points to explore how different conditions affect the chemistry that happens in the chamber. We find that with the right mix of chemicals introduced at the beginning of the experiment, chamber experiments can cover a wide range of real-world chemical scenarios and give meaningful results in under an hour. We also created a new way to measure how much chemical information we get from each experiment. By comparing model predictions to real experimental data, we gain better insight into how air pollution forms and how we can study it more efficiently.