2022/11/16
A Relational Macrostate Theory Guides Artificial Intelligence to Learn Macro and Design Micro
"a general theory for how macroscopic properties emerge from conservation of symmetries in the mapping between observations, we provide a machine learning framework that allows a unified approach to identifying macrostates in systems from the simple to complex, and allows the design of new examples consistent with a given macroscopic property." Full article @ Arxiv.
