Understanding machine‐learned density functionals
Understanding machine‐learned density functionals
Machine learning (ML) is an increasingly popular statistical tool for analyzing either measured or calculated data sets. Here, we explore its application to a well‐defined physics problem, investigating issues of how the underlying physics is handled by ML, and how self‐consistent solutions can be found by limiting the domain in …