This is a good question; AI and DL has been used for a little bit in physical design (in a scalable way starting roughly the past few years or so). The paper has some references at the top of page 26), but [0] and [1] have decent overviews as well!
thanx lot.
because I get fascinated by the idea of generative design and how we can use it to create a very optimized product using only computational methods.
I am doing a master's degree in AI and I want to involve more in this area.
For sure! Another thing to note is that, at the moment, the usual ML/AI approaches fall very short of the classical optimization methods, so there is still plenty of work to be done.
For example, classical optimization methods can approximately optimize a design with ~10 million parameters in a few hours on a decent machine, while the current AI state of the art (notably using DL and some GANs) can only optimize designs with 10-100s of parameters, maybe 1000s and take many days to train.