Published December 9, 2025 | Version v1
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Comparative study of magnetic exchange parameters and magnon dispersions in NiO and MnO from first principles

  • 1. PSI Center for Scientific Computing, Theory, and Data, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland
  • 2. National Centre for Computational Design and Discovery of Novel Materials (MARVEL), 5232 Villigen PSI, Switzerland
  • 3. Centro Brasileiro de Pesquisas Físicas (CBPF), Rua Dr. Xavier Sigaud 150, Urca, Rio de Janeiro - RJ, 22290-180, Brazil
  • 4. Department of Materials Science \& Engineering, University of California Berkeley, Berkeley, CA, 94720, USA
  • 5. Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
  • 6. Dipartimento di Fisica dell'Universit\'a di Pisa, Largo Bruno Pontecorvo 3, I-56127 Pisa, Italy
  • 7. Istituto Italiano di Tecnologia, Graphene Labs, Via Morego 30, I-16163 Genova, Italy
  • 8. Department of Chemical Engineering, Stanford University, Stanford, CA 94305, USA
  • 9. SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
  • 10. Theory and Simulation of Materials (THEOS), and National Centre for Computational Design and Discovery of Novel Materials (MARVEL), École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland

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Description

Spin-wave excitations are fundamental to understanding the behavior of magnetic materials and hold promise for future information and communication technologies. Yet, modeling these accurately in transition-metal compounds remains challenging, starting from the self-interaction errors affecting localized and partially filled $d$-orbitals in density-functional theory (DFT) with (semi-)local functionals. In this work, we compare three advanced first-principles approaches for computing magnetic exchange parameters and magnon dispersions in NiO and MnO, all based on a common DFT+$U$ ground state with ab initio Hubbard $U$ values obtained from density-functional perturbation theory. Two methods extract exchange parameters directly: one via total-energy differences using the four-state mapping ($\Delta E$), and the other via the magnetic force theorem (MFT) using infinitesimal spin rotations. Magnon dispersions are then obtained from a Heisenberg Hamiltonian through linear spin-wave theory (LSWT). The third approach, time-dependent density-functional perturbation theory with $U$ (TDDFPT+$U$), yields magnon dispersions directly from the dynamical spin susceptibility, with exchange parameters fitted a posteriori, for comparison, via LSWT. Our results show that TDDFPT+$U$ and the Heisenberg model based on $\Delta E$-derived parameters align well with experimental neutron scattering data, whereas the MFT-based approach shows larger discrepancies, possibly due to some inherent approximations and limitations of the particular implementation used. This study benchmarks the accuracy of state-of-the-art first-principles techniques for spin-wave modeling and contributes to advancing reliable computational tools for the study and design of magnetic materials.

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Funding

MARVEL/P4 – Long-term Integration in the Swiss Scientific Landscape pillar4
NCCR MARVEL
Discovery, design, and characterization of novel Na-ion cathode battery materials 200021-227641
Swiss National Science Foundation
Harnessing chiral magnons in altermagnets via advanced computational methods 200021-236507
Swiss National Science Foundation

References

Preprint (Preprint where the data is discussed)
Flaviano José dos Santos, Luca Binci, Guido Menichetti, Ruchika Mahajan, Nicola Marzari, Iurii Timrov, "Comparative study of magnetic exchange parameters and magnon dispersions in NiO and MnO from first principles", arXiv:2508.12153

Journal reference (Paper in which the data is presented)
Flaviano José dos Santos, Luca Binci, Guido Menichetti, Ruchika Mahajan, Nicola Marzari, Iurii Timrov, "Comparative study of magnetic exchange parameters and magnon dispersions in NiO and MnO from first principles", Phys. Rev. B 113, 024427 (2026), doi: 10.1103/gtxm-6vtg