Roger G Melko and Michel J P Gingras 2004 J. Phys.: Condens. Matter 16 R1277 doi:10.1088/0953-8984/16/43/R02
Roger G Melko1,2 and Michel J P Gingras1,3
Show affiliationsWe present a detailed overview of numerical Monte Carlo studies of the dipolar spin ice model, which has been shown to be an excellent quantitative descriptor of the Ising pyrochlore materials Dy2Ti2O7 and Ho2Ti2O7. We show that the dipolar spin ice model can reproduce an effective quasi-macroscopically degenerate ground state and spin ice behaviour 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 Monte Carlo simulation techniques. Finally, we investigate the behaviour of the dipolar spin ice model in an applied magnetic field and compare our predictions to experimental results. We find that a number of different long range ordered ground states are favoured by the model, depending on field direction.
61.43.Bn Structural modeling: serial-addition models, computer simulation
Issue 43 (3 November 2004)
Received 16 June 2004
Published 15 October 2004
Roger G Melko and Michel J P Gingras 2004 J. Phys.: Condens. Matter 16 R1277
Andrew P Horsfield et al 2004 J. Phys.: Condens. Matter 16 L65
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G Knebel et al 2004 J. Phys.: Condens. Matter 16 8905
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