Application of machine learning to two-dimensional Dzyaloshinskii-Moriya ferromagnets
Application of machine learning to two-dimensional Dzyaloshinskii-Moriya ferromagnets
Principles of machine learning are applied to spin configurations generated by Monte Carlo method on Dzyaloshinskii-Moriya ferromagnetic models hosting the skyrmion phase in two dimensions. Successful feature predictions regarding the average spin chirality, magnetization, as well as magnetic field and temperature, were possible with the machine-learning architecture consisting of convolutional …