Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2003-08-14
see J. Phys.: Condens. Matter 16, R1277 (2004); and cond-mat/0410406
Physics
Condensed Matter
Disordered Systems and Neural Networks
30 pages, 29 figures
Scientific paper
We present a detailed theoretical overview of the thermodynamic properties of the dipolar spin ice model, which has been shown to be an excellent quantitative descriptor of the Ising pyrochlore materials Dy_2Ti_2O_7 and Ho_2Ti_2O_7. We show that the dipolar spin ice model can reproduce an effective quasi macroscopically degenerate ground state and spin-ice behavior of these materials when the long-range nature of dipole-dipole interaction is handled carefully using Ewald summation techniques. This degeneracy is, however, ultimately lifted at low temperature. The long-range ordered state is identified via mean field theory and Monte Carlo simulation techniques. Finally, we investigate the behavior of the dipolar spin ice model in an applied magnetic field, and compare our predictions with experimental results. We find that a number of different long-range ordered states are favored by the model depending on field direction.
den Hertog Byron C.
Enjalran Matthew
Gingras Michel J. -P.
Melko Roger G.
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