Recent Advances in the Optimally "Tuned" Range-Separated Density Functional Theory

被引:27
|
作者
Sun Hai-Tao [1 ]
Zhong Cheng [2 ]
Sun Zhen-Rong [1 ]
机构
[1] East China Normal Univ, Sch Phys & Mat Sci, State Key Lab Precis Spect, Shanghai 200062, Peoples R China
[2] Wuhan Univ, Coll Chem & Mol Sci, Wuhan 430072, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Density functional theory; Time-dependent density functional theory; Optimally-tuned range-separated functional; Band gap; CHARGE-TRANSFER EXCITATIONS; PI-CONJUGATED OLIGOMERS; LIGHT-EMITTING-DIODES; EXCITED-STATES; DELOCALIZATION ERROR; ELECTRONIC-STRUCTURE; RELIABLE PREDICTION; ABSORPTION-SPECTRA; GREENS-FUNCTION; XYG3; TYPE;
D O I
10.3866/PKU.WHXB201605301
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
It is the goal of density functional theory (DFT) researchers to develop the functional formalism of exchange-correlation (XC) with high accuracy and efficiency. Conventional functionals have issues when predicting the properties of the ground and excited states of atomic and molecular systems, and they do not show universal predictions. On the other hand, high-level theory methods such as the couple-cluster (CC) method and many-body perturbation theory (MBPT) based on GW (i.e., the dressed Green's function (G) and the dynamically screened Coulomb interaction (W)) approximation require very expensive computational cost and therefore the size of the systems studied and the practicability are limited. Recently, the optimally tuned range-separated (RS) functional has been developed to partly alleviate the above issues and has attracted great attention because it can achieve a level of accuracy comparable to the high-level method but with low computational cost. In this review, we first provide an overview of the theory in this field and then introduce the optimal tuning concept based on the RS functional. We combine the recent theoretical studies to evaluate their performance in practical calculations. Finally, we give some prospects for the future development and application of the optimally tuned approach.
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页码:2197 / 2208
页数:12
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