Performance of various density-functional approximations for cohesive properties of 64 bulk solids
Performance of various density-functional approximations for cohesive properties of 64 bulk solids
复制标题
64 种散装固体的内聚特性的各种密度泛函近似的性能
DOI:
10.1088/1367-2630/aac7f0
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发表时间:
2018-06
影响因子:
3.3
通讯作者:
Matthias Scheffler
中科院分区:
文献类型:
--
作者:
Guo-Xu Zhang;Anthony M Reilly;Alex;re Tkatchenko;Matthias Scheffler
Accurate and careful benchmarking of different density-functional approximations (DFAs) represents an important source of information for understanding DFAs and how to improve them. In this work we have studied the lattice constants, cohesive energies, and bulk moduli of 64 solids using six functionals, representing the local, semi-local, and hybrid DFAs on the first four rungs of Jacob’s ladder. The set of solids considered consists of ionic crystals, semiconductors, metals, and transition metal carbides and nitrides. To minimize numerical errors and to avoid making further approximations, the full-potential, all-electron FHI-aims code has been employed, and all the reported cohesive properties include contributions from zero-point vibrations. Our assessment demonstrates that current DFAs can predict cohesive properties with mean absolute relative errors of 0.6% for the lattice constant and 6% for both the cohesive energy and the bulk modulus over the whole database of 64 solids. For semiconducting and insulating solids, the recently proposed SCAN meta-GGA functional represents a substantial improvement over the other functionals. However, when considering the different types of solids in the set, all of the employed functionals exhibit some variance in their performance. There are clear trends and relationships in the deviations of the cohesive properties, pointing to the need to consider, for example, long-range van der Waals (vdW) interactions. This point is also demonstrated by consistent improvements in predictions for cohesive properties of semiconductors when augmenting GGA and hybrid functionals with a screened Tkatchenko–Scheffler vdW energy term.
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影响因子:
3.7
作者:
Jianwei Sun;M. Marsman;A. Ruzsinszky;G. Kresse;J. Perdew
通讯作者:
Jianwei Sun;M. Marsman;A. Ruzsinszky;G. Kresse;J. Perdew
影响因子:
3.7
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3.7
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影响因子:
5.5
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通讯作者:
Illas, Francesc
影响因子:
3.7
作者:
Kresse, G;Furthmuller, J
通讯作者:
Furthmuller, J