返回
Speeding up tight binding calculations using zone-folding methods
DOI:10.1016/j.commatsci.2022.111479.png)
摘要
En 中文
Tight binding models are widely used in large scale electronic structure calculations of nanostructures. Their atomistic nature makes them flexible, but also means the computational cost increases rapidly with system size. The large number of calculations required to design nanostructures makes computational efficiency desirable. We have developed a method to increase computational speed while retaining most of its accuracy. The method is based on the use of supercells and zone folding combined with a truncation of the Hamiltonians to only include states close to the band-edges. We apply the method to model the band edge energies of a GaAs/AlAs quantum well grown along the [110]-directions with 3D and 2D periodic boundary conditions as well as the density of states and dielectric function of the quantum well. We typically find a speed-up of ten times with only a small loss of accuracy of the calculation result.
Keyword:
Brillouin zone-folding
Tight-binding
Semiconductors
期刊
IF:
3.3
论文数:
1.4W
被引数:
3.6W
机构
引用论文
Time-efficient simulations of tight-binding electronic structures with Intel Xeon Phi™ many-core processors使用英特尔至强融核对紧密结合的电子结构进行省时仿真™众核处理器
Tight-Binding Studio: A technical software package to find the parameters of tight-binding Hamiltonian紧密绑定Studio: 用于查找紧密绑定哈密顿量参数的技术软件包
Machine learning method for tight-binding Hamiltonian parameterization from ab-initio band structure从头开始的带结构紧束缚哈密顿参数化的机器学习方法

