The Predictive Power of Exact Constraints and Appropriate Norms in Density Functional Theory.

IF 11.7 1区 化学 Q1 CHEMISTRY, PHYSICAL
Aaron D Kaplan, Mel Levy, John P Perdew
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引用次数: 14

Abstract

Ground-state Kohn-Sham density functional theory provides, in principle, the exact ground-state energy and electronic spin densities of real interacting electrons in a static external potential. In practice, the exact density functional for the exchange-correlation (xc) energy must be approximated in a computationally efficient way. About 20 mathematical properties of the exact xc functional are known. In this work, we review and discuss these known constraints on the xc energy and hole. By analyzing a sequence of increasingly sophisticated density functional approximations (DFAs), we argue that (a) the satisfaction of more exact constraints and appropriate norms makes a functional more predictive over the immense space of many-electron systems and (b) fitting to bonded systems yields an interpolative DFA that may not extrapolate well to systems unlike those in the fitting set. We discuss both how the class of well-described systems has grown along with constraint satisfaction and the possibilities for future functional development.

密度泛函理论中精确约束和适当范数的预测能力。
原则上,基态Kohn-Sham密度泛函理论提供了静态外部电位中实际相互作用电子的精确基态能量和电子自旋密度。在实践中,交换相关(xc)能量的精确密度泛函必须以一种计算效率高的方式进行近似。确切的xc泛函大约有20个数学性质是已知的。在这项工作中,我们回顾和讨论了这些已知的xc能量和空穴的限制。通过分析一系列日益复杂的密度泛函近似(DFA),我们认为(a)满足更精确的约束和适当的规范使函数在多电子系统的巨大空间中更具预测性;(b)拟合到键合系统产生插值DFA,可能无法很好地外推到与拟合集不同的系统。我们讨论了这类描述良好的系统是如何随着约束的满足而增长的,以及未来功能开发的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
28.00
自引率
0.00%
发文量
21
期刊介绍: The Annual Review of Physical Chemistry has been published since 1950 and is a comprehensive resource for significant advancements in the field. It encompasses various sub-disciplines such as biophysical chemistry, chemical kinetics, colloids, electrochemistry, geochemistry and cosmochemistry, chemistry of the atmosphere and climate, laser chemistry and ultrafast processes, the liquid state, magnetic resonance, physical organic chemistry, polymers and macromolecules, and others.
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