2 papers
cond-mat.dis-nn2019
Machine learning magnetic parameters from spin configurations
Dingchen Wang, Songrui Wei, Anran Yuan +5
Hamiltonian parameter estimation is crucial in condensed matter physics, but time and cost consuming in terms of resources used. With advances in observation techniques, high-resol…
cond-mat.mtrl-sci2017
A phenomenological thermodynamic potential for DyCo
Dongyan Zhang, Chao Zhou, Sen Yang +2
A phenomenological thermodynamic potential was constructed based on the symmetry analysis and property characterization of bulk DyCo2. An eight-order polynomial of Landau expansion…