Replacing Neural Networks by Optimal Analytical Predictors for the Detection of Phase Transitions
Identifying phase transitions and 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, we still lac