scholarly journals Designing flat-band tight-binding models with tunable multifold band touching points

2021 ◽  
Vol 104 (19) ◽  
Author(s):  
Ansgar Graf ◽  
Frédéric Piéchon
2021 ◽  
Vol 103 (13) ◽  
Author(s):  
Vikram Ravindranath ◽  
M. S. Santhanam
Keyword(s):  

2020 ◽  
Vol 4 (11) ◽  
Author(s):  
R. M. Fogarty ◽  
J. Smutna ◽  
M. R. Wenman ◽  
A. P. Horsfield
Keyword(s):  

2002 ◽  
Vol 65 (5) ◽  
Author(s):  
P. Buonsante ◽  
R. Burioni ◽  
D. Cassi
Keyword(s):  

1999 ◽  
Vol 32 (12) ◽  
pp. 2361-2367 ◽  
Author(s):  
Julien Vidal ◽  
Rémy Mosseri ◽  
Jean Bellissard

1987 ◽  
Vol 20 (14) ◽  
pp. L263-L269 ◽  
Author(s):  
A T Paxton ◽  
A P Sutton ◽  
C M M Nex

Author(s):  
Qile Li ◽  
Jackson S Smith ◽  
Yuefeng Yin ◽  
Chutian Wang ◽  
Mykhailo V Klymenko ◽  
...  

Author(s):  
Tianxiang Liu ◽  
Li Mao ◽  
Mats-Erik Pistol ◽  
Craig Pryor

Abstract Calculating the electronic structure of systems involving very different length scales presents a challenge. Empirical atomistic descriptions such as pseudopotentials or tight-binding models allow one to calculate the effects of atomic placements, but the computational burden increases rapidly with the size of the system, limiting the ability to treat weakly bound extended electronic states. Here we propose a new method to connect atomistic and quasi-continuous models, thus speeding up tight-binding calculations for large systems. We divide a structure into blocks consisting of several unit cells which we diagonalize individually. We then construct a tight-binding Hamiltonian for the full structure using a truncated basis for the blocks, ignoring states having large energy eigenvalues and retaining states with an energy close to the band edge energies. A numerical test using a GaAs/AlAs quantum well shows the computation time can be decreased to less than 5% of the full calculation with errors of less than 1%. We give data for the trade-offs between computing time and loss of accuracy. We also tested calculations of the density of states for a GaAs/AlAs quantum well and find a ten times speedup without much loss in accuracy.


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