Replacing Neural Networks by Optimal Analytical Predictors for the Detection of Phase Transitions
Identifying phase transitions and Pizza Stones classifying phases of matter is central to understanding the properties and behavior of a broad range of material systems.In recent years, machine-learning (ML) techniques have been successfully applied to perform such tasks in a data-driven manner.However, the success of this approach notwithstanding,