Studies on spintronics, which deal with the intrinsic spin of electrons and the field of electronic engineering, are actively conducted to address the limitations of the integration level of silicon semiconductors currently in use and to develop ultra-low-power and high-performance next-generation semiconductors. Magnetic materials are one of the most commonly used materials to develop spintronics devices such as magneto-resistive random-access memory (MRAM). Therefore, it is essential to accurately identify properties of the magnetic materials, such as thermal stability, dynamic behaviors and the ground state configuration, through the analysis of the magnetic Hamiltonian and its parameters.
source https://techxplore.com/news/2020-12-semiconductor-material-analysis-artificial-intelligence.html
