Connection between magnetism and structure in Fe double chains on the Ir(100) surface

Riccardo Mazzarello and Erio Tosatti
Phys. Rev. B 79, 134402 – Published 3 April 2009

Abstract

The magnetic ground state of nanosized systems such as Fe double chains, chains recently shown to form in the early stages of Fe deposition on Ir(100), is generally nontrivial. Using ab initio density functional theory we find that the straight ferromagnetic (FM) state typical of bulk Fe as well as of isolated Fe chains and double chains is disfavored after deposition on Ir(100) for all the experimentally relevant double chain structures considered. So long as spin-orbit coupling (SOC) is neglected, the double chain lowest energy state is generally antiferromagnetic (AFM), a state which appears to prevail over the FM state due to Fe-Ir hybridization. Successive inclusion of SOC adds two further elements, namely, a magnetocrystalline anisotropy and a Dzyaloshinskii-Moriya (DM) spin-spin interaction; the former stabilizing the collinear AFM state and the latter favoring a long-period spin modulation. We find that anisotropy is most important when the double chain is adsorbed on the partially deconstructed Ir(100)—a state which we find to be substantially lower in energy than any reconstructed structure—so that in this case the Fe double chain should remain collinear AFM. Alternatively, when the same Fe double chain is adsorbed in a metastable state onto the (5×1) fully reconstructed Ir(100) surface, the FM-AFM energy difference is very much reduced and the DM interaction is expected to prevail, probably yielding a helical spin structure.

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  • Received 14 January 2009

DOI:https://doi.org/10.1103/PhysRevB.79.134402

©2009 American Physical Society

Authors & Affiliations

Riccardo Mazzarello1,* and Erio Tosatti1,2

  • 1SISSA, Via Beirut 2/4, 34014 Trieste, Italy and DEMOCRITOS-INFM, Via Beirut 2/4, 34014 Trieste, Italy
  • 2ICTP, Strada Costiera 11, 34014 Trieste, Italy

  • *Corresponding author. Present address: Department of Chemistry and Applied Biosciences, Computational Science, ETH Zurich, USI Campus, via Giuseppe Buffi 13, CH-6900 Lugano, Switzerland; riccardo.mazzarello@phys.chem.ethz.ch

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Vol. 79, Iss. 13 — 1 April 2009

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