
26:02
O4?

26:16
O4 = O2 dimers

26:44
Ah, okay - thanks. That makes more sense...

41:39
Do you think you need to take kinetics into account? It seems like different network topologies could give rise to the same steady states, or the same network topology, if assigned different kinetic parameters, could give rise to different steady states.

43:49
These network with their nodes and weights seem similar to neural networks. Can neural network algorithms be applied to chemical reaction networks?

01:11:06
Really great talk! I am curious if there are any network metrics accounting for catalytic cycles/ feedbacks, which occur in many atmospheric-chemistry systems.

01:11:18
Sorry, I have virtual school going in the background

01:12:01
Thank you!

01:16:27
What about other equilibria/disequilibria: thermodynamic, radiative, etc?

01:18:15
I don't know much about Hot Jupiters, but I would imagine that UV/X-rays from the host star should play a huge role on the chemistry that is occurring in the upper atmosphere.... I know that for Titan, this is generally considered to play a strong role, and that's likely receiving a very small dose... this would also probably decrease all of the CH4 and NH3, etc. …

01:24:58
I am also curious, the graphs you showed of Earth's and Mars' atmospheres, how much of that difference is simply due to the fact that we have so much better data for Earth (or say the low P of Mars)?

01:34:34
Thanks again!

01:34:34
What is the impact of periodic external driver(s) on the network convergence to a disequilibrium state?

01:36:51
Thank you!

01:36:58
Thanks!

01:37:13
thank you so much!

01:37:19
looks promising! Thanks Tessa!