Symmetry-Guided Prediction of Magnetic Ground States

This paper addresses the challenge of predicting magnetic ground states in materials, a crucial area due to the scarcity of experimental data. The authors propose a symmetry-guided framework that leverages spin space group formalism and first-principles calculations to efficiently identify ground-state magnetic configurations. The approach is demonstrated on several 3D and 2D magnets, showcasing its potential for large-scale prediction and understanding of magnetic interactions.