Data-driven Study of Magnetic Anisotropy in Transition Metal Dichalcogenide Monolayers

ORAL

Abstract

We investigate the magnetic and thermodynamic properties of transition metal dichalcogenides of the form AX2, based on monolayer MnSe2 using data analytics. That is, we combine first-principles calculations with machine learning methods to elucidate the microscopic origins of the magnetocrystalline anisotropy in these materials. We explore a large number of candidate transition metal dichalcogenides by varying the chemical compositions of the transition metal (A) and chalcogen (X) sites. We investigate the transition between in-plane and out-of-plane magnetization in addition to the magnetocrystalline anisotropy. We demonstrate that the interplay between the spin-orbit interactions of the chalcogen and transition metal atoms gives rise to a diverse array of magnetic behavior.

*This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant number ACI-1548562. This research used resources of the Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357. This material is based upon work supported by the NSF CAREER award under Grant No 2044842.

Presenters

  • Peter Minch

    • Rensselaer Polytechnic Institute

Authors

  • Peter Minch

    • Rensselaer Polytechnic Institute
  • Romakanta Bhattarai

    • Rensselaer Polytechnic Institute
  • Trevor David Rhone

    • Rensselaer Polytechnic Institute