2019
DOI: 10.1103/physrevb.99.064437
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Chiral magnetic skyrmions with arbitrary topological charge

Abstract: We show that continuous and spin-lattice models of chiral ferro-and antiferromagnets provide the existence of an infinite number of stable soliton solutions of any integer topological charge. A detailed description of the morphology of new skyrmions and the corresponding energy dependencies are provided. The considered model is general, and is expected to predict a plethora of particle-like states which may occur in various chiral magnets including atomic layers, e.g., PdFe/Ir(111), rhombohedral GaV4S8 semicon… Show more

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Cited by 114 publications
(101 citation statements)
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References 95 publications
(130 reference statements)
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“…to obtain a well-defined variational problem. Clearly, (13) reduces to (12) for the simple gauge field (7). Adding the term (13) to the energy (3) has a number of advantages, at least from an analytical point of view.…”
Section: Boundary Contributions To the Energymentioning
confidence: 99%
See 1 more Smart Citation
“…to obtain a well-defined variational problem. Clearly, (13) reduces to (12) for the simple gauge field (7). Adding the term (13) to the energy (3) has a number of advantages, at least from an analytical point of view.…”
Section: Boundary Contributions To the Energymentioning
confidence: 99%
“…1, we show examples of such solutions in a model with standard DM term (n, ∇ × n) and the potential 1 2 (1 − n 3 ) 2 . They include the axisymmetric skyrmion configuration (which has topological charge Q = 1 in our conventions), a line defect (Q = 0), an anti-skyrmion configuration (Q = 1) as well as bags and multi-(anti)-skyrmion configurations which show qualitative features of the configurations studied numerically in [12] and [13].…”
Section: Introductionmentioning
confidence: 99%
“…The functionality of the aforementioned softwares can be greatly extended by adding an interactive graphical user interface (GUI) that can be used to control calculations in real time -to not only change parameters, but also interact with the spin texture as demonstrated for example in Ref. 10. Together with such a GUI, Spirit unifies various computational methods that are commonly applied to atomistic (and in part also to micromagnetic) simulations: Monte Carlo and Landau Lifshitz Gilbert (LLG) dynamics, 11 the geodesic nudged elastic band (GNEB) method 12 , minimum mode following 13 (MMF), harmonic transition-state theory 14 (HTST), and the visualization of eigenmodes.…”
Section: Introductionmentioning
confidence: 99%
“…It is assumed that magnetization remains homogeneous along the thickness, t. The DMI term w(n) is defined by combinations of Lifshitz invariants, ΛThe re-sults presented in this letter are valid for a wide class of chiral magnets of different crystal symmetries with: Néeltype modulations [22][23][24] The last term in (1) represents the potential energy term including uniaxial anisotropy, U a = K (1 − n 2 z ) and the Zeeman energy -the interaction with an external magnetic field, U Z = M s B · n. The distances, magnetic fields and energies are given in dimensionless units relative to: the equilibrium period of helical spin spiral [29,30],the critical field [30], B D = D 2 /(2M s A) and the energy of saturated state, E 0 = 2At, respectively. The dimensionless magnetic field h = B/B D and anisotropy u = K/ (M s B D ) are unique control parameters of the system.For direct energy minimization of (1) we use a nonlinear conjugate gradient (NCG) method implemented for NVIDIA CUDA architecture and optimized for the best performance by the advanced numerical scheme atlas [31,32]. We use a fourth-order finite-difference scheme on a regular square grid with periodical boundary conditions [32].…”
mentioning
confidence: 99%
“…The dimensionless magnetic field h = B/B D and anisotropy u = K/ (M s B D ) are unique control parameters of the system.For direct energy minimization of (1) we use a nonlinear conjugate gradient (NCG) method implemented for NVIDIA CUDA architecture and optimized for the best performance by the advanced numerical scheme atlas [31,32]. We use a fourth-order finite-difference scheme on a regular square grid with periodical boundary conditions [32]. The typical size of the simulated domain is ∼ 10L D ×10L D with a mesh density ∆l given in the number of nodes per L D , varying from 32 to 1024.…”
mentioning
confidence: 99%