密度泛函理论及从头算分子动力学导论

R. Car
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引用次数: 46

摘要

密度泛函理论(DFT)提供了一个处理多原子系统中电子基态能量的一般框架。它的历史可以追溯到托马斯[1],费米[2]和狄拉克[3]的工作,他们用局部电子密度的简单泛函设计了多电子系统的动能[1,2]和交换能[3]的近似表达式。这些想法在斯莱特的Xα方法中得到了进一步的阐述[4],直到最后,现代理论的基础在60年代中期由Kohn和合作者奠定[5,6]。从那时起,特别是在过去的二十年中,DFT在电子结构问题上的应用数量急剧增长。目前,DFT是凝聚态和复杂分子环境中第一性原理电子结构计算的首选方法。基于DFT的方法被用于从凝聚态物理到化学、材料科学、生物化学和生物物理学的各种学科。这一成功有几个原因:(i) DFT使多体电子问题变得易于处理,而代价是自洽场单粒子计算的数值代价;(ii)尽管对交换和相关能泛函进行了严格的近似,但DFT计算通常足以准确地预测材料结构或化学反应产物;(iii)目前可用的计算能力和现代数值算法使DFT计算在系统的实际模型中可行,例如两种晶体材料之间的界面,碳纳米管或酶的活性位点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Introduction to density-functional theory and ab-initio molecular dynamics
Density-Functional-Theory (DFT) provides a general framework to deal with the ground-state energy of the electrons in many-atom systems. Its history dates back to the work of Thomas [1], Fermi [2] and Dirac [3] who devised approximate expressions for the kinetic energy [1, 2] and the exchange energy [3] of many-electron systems in terms of simple functionals of the local electron density. These ideas were further elaborated in the Xα method of Slater [4], until finally, the foundations of the modern theory were laid down in the mid-sixties by Kohn and collaborators [5, 6]. Since then but particularly in the last two decades the number of applications of DFT to electronic structure problems has grown dramatically. Today DFT is the method of choice for first-principles electronic structure calculations in condensed phase and complex molecular environments. DFT based approaches are used in a variety of disciplines ranging from condensed matter physics, to chemistry, materials science, biochemistry and biophysics. There are several reason for this success: (i) DFT makes the many-body electronic problem tractable at a numerical cost of self-consistent-field single particle calculations; (ii) despite the severe approximations made to the exchange and correlation energy functional, DFT calculations are usually sufficiently accurate to predict materials structures or chemical reactions products; (iii) currently available computational power and modern numerical algorithms make DFT calculations feasible for realistic models of systems like e.g. an interface between two crystalline materials, a carbon nanotube, or the active site of an enzyme.
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