Hyperfine Interactions

, Volume 94, Issue 1, pp 1989–1993 | Cite as

Magnetic defect structure of iron-rich Fe x O

  • Catherine A. McCammon
  • Quentin A. Pankhurst
Magnetism and Magnetic Materials


Mössbauer spectra were recorded at 80 and 4.2 K for Fe x O (x> 0.95) samples that had been synthesized at 1000 ‡C and pressures up to 10 GPa. The spectra, which consist predominantly of six broadened lines, were fit to three magnetic components: bulk Fe2+, defect cluster Fe2+ and defect cluster Fe3+. Mean hyperfine parameter values for bulk Fe2+ were calculated using second-order perturbation theory, and correlations between fluctuations were determined from the mean-square linewidths. Implications for the magnetic defect structure of Fe x O are discussed.


Thin Film Perturbation Theory Defect Structure Magnetic Component Defect Cluster 
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  1. [1]
    R.M. Hazen and R. Jeanloz, Rev. Geophys. Space Phys. 22(1984)37.Google Scholar
  2. [2]
    G.J. Long and F. Grandjean, in:Advances in Solid State Chemistry, Vol. 2, ed. C.R.A. Catlow (JAI Press, London, 1991) p. 187.Google Scholar
  3. [3]
    J. Jing and S.J. Campbell, Hyp. Int. 68(1991)283.Google Scholar
  4. [4]
    J. Jing, S.J. Campbell and H. Engelmann, Hyp. Int. 78(1993)469.Google Scholar
  5. [5]
    C.A. McCammon, Science 259(1993)66.Google Scholar
  6. [6]
    M.E. Lines and M. Eibschütz, Solid State Commun. 45(1983)435.Google Scholar
  7. [7]
    C.A. McCammon, J. Magn. Magn. Mater. 104–107(1992)1937.Google Scholar

Copyright information

© J.C. Baltzer AG, Science Publishers 1994

Authors and Affiliations

  • Catherine A. McCammon
    • 1
  • Quentin A. Pankhurst
    • 2
  1. 1.Bayerisches GeoinstitutUniversität BayreuthBayreuthGermany
  2. 2.Department of PhysicsUniversity of LiverpoolLiverpoolUK

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