2017
DOI: 10.1103/physrevb.96.094417
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Shape of magnetic domain walls formed by coupling to mobile charges

Abstract: Magnetic domain walls, which are crucially important in both fundamental physics and technical applications, often have a preference in their form due to many different origins, such as the crystalline shape, lattice symmetry, and magnetic anisotropy. We theoretically investigate yet another origin stemming from the coupling to mobile charges in itinerant magnets. Performing a large-scale numerical simulation in a minimal model for itinerant magnets, i.e., the Kondo lattice model with classical localized spins… Show more

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Cited by 22 publications
(17 citation statements)
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“…in analogy to Eq. (17). The constraint c(m) = c(n) is only satisfied for orbitals m and n whose real-space distance satisfies r mn S 1/d , and thus introduces a nontrivial dependence on S.…”
Section: Appendix B: Automatic Differentiation Of Stochastic Trace Esmentioning
confidence: 99%
“…in analogy to Eq. (17). The constraint c(m) = c(n) is only satisfied for orbitals m and n whose real-space distance satisfies r mn S 1/d , and thus introduces a nontrivial dependence on S.…”
Section: Appendix B: Automatic Differentiation Of Stochastic Trace Esmentioning
confidence: 99%
“…This recently-developed method, called KPM-LD, costs only O(N ) (N : number of lattice sites), allowing us to run the simulation for the system sizes of up to ∼ 10 4 sites. Here we employ the modified version of the KPM-LD [20] making use of a probing method [30] and the stochastic Landau-Lifshitz-Gilbert equation in the LD.…”
Section: A Kpm-ldmentioning
confidence: 99%
“…Here F (ε − µ) is the free energy of the system, and ρ(ε, {S i }) is the density of state of conduction electrons for a given set of the local magnetizations {S i }. To calculate Ω and its magnetization-derivatives ∂Ω/∂S i , we adopt the kernel polynomial method, which is based on the Chebyshev polynomial expansion of Ω and the automatic differentiation [89][90][91][92][93][94][95].…”
Section: Methodsmentioning
confidence: 99%