Unusual magnetic interaction in CrTe: insights from machine-learning and empirical models.

Chromium telluride (CrTe) has received much attention due to its small magnetic anisotropy that hosts the potential for complex magnetic structures. However, its magnetic properties have been relatively unexplored with numerical simulations as the magnetic interactions inside are quite unusual. In this study, we employ both the machine-learning model and the empirical model to investigate the magnetic phase transitions of bulk and monolayer CrTe, revealing the existence of unusual magnetic interaction, which can be handled by the machine-learning model but not the empirical model. Moreover, our results also show that the magnetic moments further apart exhibit stronger interactions than those in closer proximity, which deviates from typical behavior.&#xD.