Structural and magnetic properties of FeMnx chains (x=1–6) supported on Cu2N / 
Cu (100)

Choi, Deung-Jang; Robles, Roberto; Gauyacq, Jean-Pierre; Ternes, Markus; Loth, Sebastian; Lorente, Nicolas

doi:10.1103/PhysRevB.94.085406

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Journal Article

Structural and magnetic properties of FeMn_x chains (x=1–6) supported on Cu₂N / Cu (100)

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Loth, Sebastian
Max Planck Institute for Solid State Research;
Dynamics of Nanoelectronic Systems, Independent Research Groups, Max Planck Institute for the Structure and Dynamics of Matter, Max Planck Society;

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http://arxiv.org/abs/1605.05464
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http://dx.doi.org/10.1103/PhysRevB.94.085406
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Citation

Choi, D.-J., Robles, R., Gauyacq, J.-P., Ternes, M., Loth, S., & Lorente, N. (2016). Structural and magnetic properties of FeMn_x chains (x=1–6) supported on Cu₂N / Cu (100). Physical Review B, 94(8): 085406. doi:10.1103/PhysRevB.94.085406.

Cite as: https://hdl.handle.net/11858/00-001M-0000-002A-F017-A

Abstract

Heterogeneous atomic magnetic chains are built by atom manipulation on a Cu₂N/Cu (100) substrate. Their magnetic properties are studied and rationalized by a combined scanning tunneling microscopy (STM) and density functional theory (DFT) work completed by model Hamiltonian studies. The chains are built using Fe and Mn atoms ontop of the Cu atoms along the N rows of the Cu₂N surface. Here, we present results for FeMn_x chains (x=1–6) emphasizing the evolution of the geometrical, electronic, and magnetic properties with chain size. By fitting our results to a Heisenberg Hamiltonian we have studied the exchange-coupling matrix elements J for different chains. For the shorter chains, x ≤ 2, we have included spin-orbit effects in the DFT calculations, extracting the magnetic anisotropy energy. Our results are also fitted to a simple anisotropic spin Hamiltonian and we have extracted values for the longitudinal-anisotropy D and transversal-anisotropy E constants. These parameters together with the values for J allow us to compute the magnetic excitation energies of the system and to compare them with the experimental data.