Kernel Polynomial Method on GPU

2012 ◽  
Vol 41 (1) ◽  
pp. 59-88 ◽  
Author(s):  
Shixun Zhang ◽  
Shinichi Yamagiwa ◽  
Masahiko Okumura ◽  
Seiji Yunoki
2020 ◽  
Vol 233 ◽  
pp. 03004
Author(s):  
M.F.C. Martins Quintela ◽  
J.C.C. Guerra ◽  
S.M. João

In AA-stacked twisted bilayer graphene, the lower energy bands become completely flat when the twist angle passes through certain specific values: the so-called “magic angles”. The Dirac peak appears at zero energy due to the flattening of these bands when the twist angle is sufficiently small [1-3]. When a constant perpendicular magnetic field is applied, Landau levels start appearing as expected [5]. We used the Kernel Polynomial Method (KPM) [6] as implemented in KITE [7] to study the optical and electronic properties of these systems. The aim of this work is to analyze how the features of these quantities change with the twist angle in the presence of an uniform magnetic field.


2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Dániel Varjas ◽  
Michel Fruchart ◽  
Anton R. Akhmerov ◽  
Pablo M. Perez-Piskunow

2020 ◽  
Vol 233 ◽  
pp. 05011
Author(s):  
N.A. Khan ◽  
J.P. Santos Pires ◽  
J.M. Viana Parente Lopes ◽  
J.M.B. Lopes dos Santos

In this paper, we report numerical calculations of the localization length in a non-interacting one-dimensional tight-binding model at zero tem¬perature, holding a correlated disorder model with an algebraic power-spectrum (de Moura-Lyra model). Our calculations were based on a Kernel Polynomial implementation of the Thouless formula for the inverse localization length of a general nearest-neighbor 1D tight-binding model with open boundaries. Our results confirm the delocalization of all eigenstates in de Moura-Lyra model for α > 1 and a localization length which diverges as ξ ∝ (1 – α)–1 for α → 1–, at all energies in the weak disorder limit (as previously seen in [12]).


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