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Itinerant Spin Dynamics in Structures of ... - Jacobs University

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Chapter 5: <strong>Sp<strong>in</strong></strong> Hall Effect 101<br />

strengths V <strong>in</strong> a system with weak Rashba SOC strength α 2 = 0.5t to f<strong>in</strong>d the critical value<br />

V c for the MIT. From Landauer-Bütiker calculations[SST05] it follows that at impurity<br />

strength V = 8t we are already <strong>in</strong> the <strong>in</strong>sulat<strong>in</strong>g regime. The typical DOS ρ typ decays<br />

exponentially with L, as plotted <strong>in</strong> Fig.5.8 (a), which confirms this assumption. If V is<br />

reduced the localization length ξ shows a strong <strong>in</strong>crease, as shown <strong>in</strong> Fig.5.8 (b), which<br />

<strong>in</strong> turn slows down the reduction <strong>of</strong> ρ typ , which comes along with <strong>in</strong>creas<strong>in</strong>g system size,<br />

significantly <strong>in</strong> case <strong>of</strong> large localization lengths. Add<strong>in</strong>g the results from the calculation <strong>of</strong><br />

800<br />

0.030<br />

600<br />

Ρ typ<br />

0.020<br />

Ξ a<br />

400<br />

0.015<br />

200<br />

0.010<br />

50 100 150 200 250<br />

(a)<br />

L a<br />

0<br />

0 2 4 6 8 10<br />

(b)<br />

V t<br />

Figure 5.8: (a) Log-plot <strong>of</strong> typical DOS ρ typ at V = 8t for different system sizes L with<br />

Rashba SOC α 2 = 0.5t at half fill<strong>in</strong>g, calculated with KPM. The dashed l<strong>in</strong>e is a l<strong>in</strong>ear fit<br />

to the log-data which yields a localization length <strong>of</strong> ξ ≈ 100a. (b) Localization length ξ at<br />

E F = 0, plotted as a function <strong>of</strong> impurity strength V.<br />

ρ typ /ρ avr , which is plotted <strong>in</strong> Fig.5.9 as function <strong>of</strong> the <strong>in</strong>verse system size 1/L 2 for E F = 0,<br />

we can conclude that for V 5t we are <strong>in</strong> the <strong>in</strong>sulat<strong>in</strong>g regime. For a more precise analysis<br />

we have to go to larger systems due to the large localization lengths.<br />

5.3.3 SHC calculation us<strong>in</strong>g KPM<br />

In this section we are go<strong>in</strong>g to present calculation <strong>of</strong> SHC for much larger systems<br />

than with exact diagonalization analysis, us<strong>in</strong>g KPM. Also here we will use the Kubo<br />

formalism which is why we have to reformulate Eq.(5.5) to be applicable to this iterative<br />

method. In contrast to the calculation <strong>of</strong> the DOS, here we have to deal with a correlation<br />

<strong>of</strong> two operators. We will follow the approach presented <strong>in</strong> the KPM review by Weiße et<br />

al.[WWAF06].<br />

WestartwithaKPMwhereweexpandafunctiononly<strong>in</strong>onedimension. Givenacorrelation

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