Published June 1, 2019 | Version v1
Journal article

Modeling Spin Hamiltonian Parameters for Fe2+ (S = 2) Adatoms on Cu2N/Cu(100) Surface Using Semiempirical and Density Functional Theory Approaches

  • 1. A. Mickiewicz University, Faculty of Chemistry (Poland)
  • 2. Polish Academy of Sciences, Institute of Molecular Physics (Poland)

Description

Transition metal atoms adsorbed on surfaces (adatoms) behaving like magnets are important for potential applications in quantum computing and memory storage. Better insight into their magnetic properties, described by spin Hamiltonian (SH) parameters, is essential. Comprehensive modeling of SH parameters for Fe2+ with spin S = 2 adatoms on various surfaces is carried out using two approaches: (1) semiempirical CF/MSH [based on crystal field (CF) and microscopic spin Hamiltonian (MSH) theory], and (2) density functional theory (DFT). Here preliminary results of modeling of zero-field splitting parameters (ZFSPs) for Fe2+ on Cu2N/Cu(100) surface [for short Fe2+@Cu2N/Cu(100)] are presented. We focus on the orthorhombic second-rank ZFSPs in the conventional notation (D, E) measured for Fe2+@Cu2N/Cu(100). The fourth-rank ZFSP in the Stevens notation (Bkq, k = 2, 4) measured for Fe2+ on CuN/Cu(100) surface are considered elsewhere. Using the CF/MSH approach within 5D approximation, the ZFSPs (k = 2, 4) and Zeeman g-factors are calculated for wide range of the microscopic parameters: spin–orbit (λ), spin–spin (ρ) coupling constants, and the crystal field energy levels (∆i). The ρ-contributions and the fourth-rank ZFSPs are found important. Computations of the ZFSPs (D, E) are done using the SIESTA code by mapping of the physical energy levels to those of effective ZFS Hamiltonian. Comparison of the results enables bridging the gap between DFT methods and CF/MSH ones. The present results will also be utilized in ongoing studies of adatoms on other surfaces, single molecule magnets and single-ion magnets.

Additional details

Identifiers

Publishing Information

Journal Title
Applied Magnetic Resonance
Journal Volume
50
Journal Issue
6
Journal Page Range
p. 769-783
ISSN
0937-9347

Optional Information

Copyright
Copyright (c) 2019 Springer-Verlag GmbH Austria, part of Springer Nature