K-point sampling is a technique used in electronic structure calculations, particularly in the context of periodic systems like crystals. These calculations are often based on methods such as density functional theory (DFT) and are used to study the electronic properties of materials.
In a periodic system, the electronic wavefunctions repeat over the crystal lattice, and the Brillouin zone is a fundamental concept in understanding the electronic structure. To perform calculations efficiently, a finite set of special points in the Brillouin zone, known as k-points, is sampled rather than calculating the electronic structure at every point in the Brillouin zone.
The choice of k-points is crucial, and it affects the accuracy and efficiency of the calculation. The goal is to accurately represent the electronic structure while minimizing computational resources. The k-point grid is like a mesh or grid of points in the Brillouin zone where calculations are performed.
Determining the appropriate k-point sampling involves finding a balance between accuracy and computational cost. Generally, denser k-point grids provide more accurate results but require more computational resources. Various methods, such as Monkhorst-Pack grids or special symmetry considerations, are used to determine the distribution of k-points in the Brillouin zone.
In practical terms, software packages for electronic structure calculations often have automated routines to determine suitable k-point grids based on the user's input or default settings. In addition, convergence tests can be performed by executing calculations with various k-point grids to ensure that the results are consistent and converge as the grid becomes denser.