Thermally Averaged Magnetic Anisotropy Tensors via Machine Learning Based on Gaussian Moments

1 code implementation • 3 Dec 2023 • Viktor Zaverkin, Julia Netz, Fabian Zills, Andreas Köhn, Johannes Kästner

We propose a machine learning method to model molecular tensorial quantities, namely the magnetic anisotropy tensor, based on the Gaussian-moment neural-network approach.