As an aside, I wouldn't necessarily use the ESS Open Archive for publishing preprints in the future. It took over two weeks for the preprint to show up on the website after we submitted i.t

Definitely relieved to learn that my work is not pursuant to their priorities.

This is not okay, Chuck.

I think the issue is that now is not the time to be debating this. The goal of this policy is not to increase the efficiency of universities, and engaging with the policy as if it were a good-faith effort is not helpful.

The capitol hovering menacingly in the background is a nice touch

The paper is led by student Lin Guo. We have more impressive results in the pipeline, more coming soon! (In the academic sense of "soon".)

In this paper we use a machine learning method called e-sindy to simplify a chemical mechanism and quantify the uncertainty introduced by the simplification at the same time.

Atmospheric chemistry is computationally expensive to model, so we typically use simplified models when we want to study air quality across large amounts of time or space. The simplified models introduce uncertainty, but we typically aren't able to quantify that uncertainty.

1. Verify
2. ????
3. Profit!

🙋‍♂️