I posted this elsewhere but I think it was after comments got merged in here, so sorry for the spam if you happen to see it twice:

I’m interested to know if anyone has any recommended resources on DFT or DDFT (the simulation method used here) for someone with good applied math knowledge but who is not a physicist. I have a decent working knowledge of stat mech from knowing about dynamical systems and information theory, but I am not a physicist. I’ve come across (classical) DFT before, but the tutorial papers I’ve come across get weighed down by a lot of physics jargon and notation that I don’t understand and they describe it in terms of certain physical systems that obfuscate whether I can adapt the method to problems I am interested (I think the answer is yes in my case but if I was confident I wouldn’t be asking). I could just rederive (classical) D or DDFT for my stochastic process, and that is likely the best way to learn it, but having a resource that is written more from the perspective of dynamical systems than a physicist would speed the process up quite a bit!