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Comparative study of magnetic exchange parameters and magnon dispersions in NiO and MnO using different first-principles methods

ORAL

Abstract

Magnons play a crucial role in explaining the behavior of magnetic materials and can lead to key technological applications. However, it is challenging to accurately model these in transition-metal compounds using methods based on density-functional theory (DFT) with (semi-)local functionals, due to the large self-interaction errors for d electrons. Here, we conduct a comparative analysis of the exchange parameters and magnon dispersions in NiO and MnO using three first-principles approaches, all applied to the same DFT+U ground state with Hubbard U computed from first principles using density-functional perturbation theory [1]. Two of these methods calculate the exchange parameters directly, one via total-energy differences and the other via the magnetic force theorem. From the parameterized Heisenberg Hamiltonian, we compute the magnon dispersions using linear spin-wave theory. The third approach is based on time-dependent density-functional theory with Hubbard correction [2] and probes directly the spin-spin susceptibility. This study contributes to the broader effort of evaluating the accuracy of first-principles methods for magnetic materials.

[1] I. Timrov et al., Phys. Rev. B 98, 085127 (2018)

[2] L. Binci et al., arXiv:2409.19504

Publication: 1. L. Binci, N. Marzari, I. Timrov, Magnons from time-dependent density-functional perturbation theory and the noncollinear Hubbard formulation, under review in npj Comput. Mater. (2024); arXiv:2409.19504.<br>2. Flaviano José dos Santos, Luca Binci, Ruchika Mahajan, Guido Menichetti, Nicola Marzari, Iurii Timrov, Comparative study of magnetic-exchange parameters and magnon dispersions in NiO and MnO using first-principles methods, to be submitted to Phys. Rev. B (2024).

Presenters

  • Iurii Timrov

    Paul Scherrer Institut, Paul Scherrer Institute

Authors

  • Iurii Timrov

    Paul Scherrer Institut, Paul Scherrer Institute

  • Flaviano José dos Santos

    Paul Scherrer Institut, Paul Scherrer Institut (PSI)

  • Luca Binci

    University of California, Berkeley, Lawrence Berkeley National Laboratory

  • Ruchika Mahajan

    Stanford University

  • Guido Menichetti

    University of Pisa

  • Nicola Marzari

    Ecole Polytechnique Federale de Lausanne, École Polytechnique Fédérale de Lausanne (EPFL), Ecole Polytechnique Federale de Lausanne (EPFL), Paul Scherrer Institut (PSI)