You are here
Is machine learning a research priority now in mechanics?
I know that the study and application of machine learning/artificial intelligence are somehow popular nowadays, in a general academia. I happen to be interested in that. I found people use this tool to predict crystal structure in material science, to characterize molecule structure in chemistry. The first impression is that the machanince learning helps to deal with the raw data, to constitute empirical models etc. However, there are not as many published works as I imagine, on the application of machine learning in mechanics.
Maybe what I know about mechanics, especially statistic mechanics, is limited. But I am wondering that whether is the some kind of research like "on the constitutive modeling for elastomer with machine learning" interesting and encouragable?