Small basis set density functional theory method for cost-efficient, large-scale condensed matter simulations

被引:1
|
作者
Keller, Elisabeth [1 ,2 ,3 ]
Morgenstein, Jack [4 ]
Reuter, Karsten [1 ]
Margraf, Johannes T. [1 ,2 ,3 ]
机构
[1] Fritz Haber Inst Max Planck Soc, Berlin, Germany
[2] Univ Bayreuth, Bavarian Ctr Battery Technol BayBatt, Bayreuth, Germany
[3] Univ Bayreuth, Chair Phys Chem 5, Bayreuth, Germany
[4] Duke Univ, Durham, NC 27708 USA
来源
JOURNAL OF CHEMICAL PHYSICS | 2024年 / 161卷 / 07期
关键词
SEMIEMPIRICAL METHODS; APPROXIMATION; OPTIMIZATION; POTENTIALS; PARAMETERS; SURFACE; RADII; MNDO; VAN; AM1;
D O I
10.1063/5.0222649
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
We present an efficient first-principles based method geared toward reliably predicting the structures of solid materials across the Periodic Table. To this end, we use a density functional theory baseline with a compact, near-minimal min+s basis set, yielding low computational costs and memory demands. Since the use of such a small basis set leads to systematic errors in chemical bond lengths, we develop a linear pairwise correction, available for elements Z = 1-86 (excluding the lanthanide series), parameterized for use with the Perdew-Burke-Ernzerhof exchange-correlation functional. We demonstrate the reliability of this corrected approach for equilibrium volumes across the Periodic Table and the transferability to differently coordinated environments and multi-elemental crystals. We examine relative energies, forces, and stresses in geometry optimizations and molecular dynamics simulations. (c) 2024 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license(http://creativecommons.org/licenses/by/4.0/).
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页数:10
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