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Ab initio investigations of magnetic properties of ultrathin transition ...

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3.4 Magnetic Anisotropy 49<br />

This means that as long as R1 an out-<strong>of</strong>-plane magnetization easy axis is possible.<br />

3.4.1 Magnetic anisotropy and critical temperature:<br />

In ferro<strong>magnetic</strong> two dimensional systems, we can use the <strong>magnetic</strong> anisotropy energy<br />

(EMAE) to estimate the two dimensional Néel critical temperature, T (2D)<br />

c from . The simplest<br />

statistical-mechanics method to estimate the <strong>magnetic</strong> <strong>transition</strong> temperature is the<br />

mean-field approximation[111, 112, 113, 114]. This method is, however, unsatisfactory<br />

in the case <strong>of</strong> 2D magnets since it neglects the long-wavelength fluctuations and, therefore,<br />

gives a nonzero value <strong>of</strong> the <strong>magnetic</strong> <strong>transition</strong> temperature for isotropic Heisenberg<br />

Hamiltonian contradicting to the Mermin-Wagner theorem[115]. Much better suited for<br />

the study <strong>of</strong> the 2D systems is the random phase approximation (RPA)[116, 114]. According<br />

to a renormalization group analysis[117], the two dimensional T (2D)<br />

c scales with<br />

the three dimensional critical temperature T (3D)<br />

c obtained from the 3D-Heisenberg model,<br />

which is normalized by logarithmic factor:<br />

T (2D)<br />

c =<br />

(3D)<br />

2T c<br />

� � (3.59)<br />

π2J1 ln<br />

E⊥ MAE<br />

This equation contains the strength <strong>of</strong> the uniaxial anisotropy energy E⊥ MAE . J1 is the next<br />

nearest neighbor exchange interaction parameter in Heisenberg picture.

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