返回
Implementation of self-consistent MGGA functionals in augmented plane wave based methods
DOI:10.1103/PhysRevB.105.195138.png)
摘要
En 中文
Functionals of the meta-generalized gradient approximation (MGGA) are widely used nowadays in chemistry and solid-state physics for the simulation of electronic systems such as molecules, solids, or surfaces. Due to their dependency on the kinetic energy density, they are in principle more accurate than GGA functionals for various properties (geometry, binding energy, electronic structure, etc.), while being nearly as fast since they are still of the semilocal form. Thus, when an accuracy better than GGA is required, one may consider using a MGGA instead of the much more costly hybrid functionals or methods such as the random-phase approximation or GW. In this work, the self-consistent implementation of MGGA functionals in augmented plane wave based methods is presented. Technical aspects of the implementation are discussed, and calculations of band gaps, lattice constants, and magnetic moments are presented in order to validate our implementation. To test the changes of the electron density due to a MGGA, the electric field gradient on transition-metal atoms is calculated.
Keyword:
GENERALIZED GRADIENT APPROXIMATION
EXCHANGE-CORRELATION ENERGY
SEMICONDUCTOR BAND-GAPS
META-GGA FUNCTIONALS
DENSITY
ACCURATE
SOLIDS
THERMOCHEMISTRY
PERFORMANCE
PREDICTION
期刊
IF:
3.7
论文数:
15.4W
被引数:
41.0W
机构
引用论文
Lipid-rich carcinoma of the breast.A clinicopathologic analysis of 13 examples乳腺富脂癌13例临床病理分析
Cancer
IF0
Implementation of screened hybrid functionals based on the Yukawa potential within the LAPW basis set
PHYSICAL REVIEW B
IF3.7
New developments in the Inorganic Crystal Structure Database (ICSD): accessibility in support of materials research and design无机晶体结构数据库 (ICSD) 的新发展: 支持材料研究和设计的可及性
More realistic band gaps from meta-generalized gradient approximations: Only in a generalized Kohn-Sham scheme
PHYSICAL REVIEW B
IF3.7
Elimination of the linearization error and improved basis-set convergence within the FLAPW methodFLAPW方法中线性化误差的消除和改进的基集收敛性

