AI-predicted PT-symmetric magnets
Phys. Rev. Materials 9, 124408 – Published 15 December, 2025
DOI: https://doi.org/10.1103/tq2b-f48l
Abstract
Parity-time-reversal-symmetric odd-parity antiferromagnetic (AFM1) materials are of interest for their symmetry-enabled quantum transport and optical effects. These materials host odd-parity terms in their band dispersion, leading to asymmetric energy bands and enabling responses such as the magnetopiezoelectric effect, nonreciprocal conductivity, and photocurrent generation. In addition, they may support a nonlinear spin Hall effect without spin-orbit coupling, offering an efficient route to spin current generation. To identify such materials, we first applied a graph neural network model with AFM1-specific symmetry constraints to screen Materials Project compounds for high-probability candidates. We then performed density functional theory calculations to compare magnetic configurations and confirmed 15 materials where AFM1 is the most stable state. The identified set comprises three experimentally verified AFM1 materials, six synthesized compounds with unknown magnetic structures, and six that are not yet synthesized.