2 papers
cond-mat.str-el2020
Learning crystal field parameters using convolutional neural networks
Noah F. Berthusen, Yuriy Sizyuk, Mathias S. Scheurer +1
We present a deep machine learning algorithm to extract crystal field (CF) Stevens parameters from thermodynamic data of rare-earth magnetic materials. The algorithm employs a two-…
cond-mat.str-el2019
Competing magnetic interactions in the antiferromagnetic topological insulator MnBiTe
J. -Q. Yan, D. Pajerowski, Liqin Ke +6
The antiferromagnetic (AF) compound MnBiTe is suggested to be the first realization of an antiferromagnetic (AF) topological insulator. Here we report on inelastic neut…