Role of exchange in density-functional theory for weakly interacting systems: Quantum Monte Carlo analysis of electron density and interaction energy
Role of exchange in density-functional theory for weakly interacting systems: Quantum Monte Carlo analysis of electron density and interaction energy
复制标题
交换在弱相互作用系统的密度泛函理论中的作用:电子密度和相互作用能的量子蒙特卡罗分析
DOI:
10.1103/physreva.80.032504
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发表时间:
2009
期刊:
影响因子:
--
通讯作者:
J. Grossman
中科院分区:
文献类型:
--
作者:
Y. Kanai;J. Grossman
We analyze the density-functional theory DFT description of weak interactions by employing diffusion and reptation quantum Monte Carlo QMC calculations, for a set of benzene-molecule complexes. While the binding energies depend significantly on the exchange-correlation approximation employed for DFT calculations, QMC calculations show that the electron density is accurately described within DFT, including the quantitative features in the reduced density gradient. We elucidate how the enhancement of the exchangeenergy density at a large reduced density gradient plays a critical role in obtaining accurate DFT description of weakly interacting systems. Weak interactions play an important role in numerous chemical, physical, and biological phenomena in nature 1, and vast opportunities exist for using weak interactions for various technological applications such as hydrogen storage for renewable energy and highly selective coatings for biochemical detectors 2,3. Our ability to accurately describe such interactions in theoretical calculations is important for advancing these technologically important fields. Density-functional theory DFT4,5 is a promising method for describing the electronic structure of realistic systems because of its applicability to a large class of materials ranging from molecules to solids, in terms of both accuracy and computational affordability. Weakly interacting systems, however, remain a challenging class of materials to describe accurately within the DFT approaches in practice 6. The difficulty has been attributed primarily to the dominant role of nonlocal correlation in describing weak interactions such as the van der Waals interaction, which is absent or incorrectly accounted for within many exchange-correlation XC approximations. There have been a number of efforts to either empirically or formally include nonlocal correlation in the XC approximation 7. In addition to this, a quantitative description remains highly challenging due to the pairing exchange part, which requires further investigation 8 and is in general considerably larger than the correlation part. In the context of improving the accuracy of DFT, quantum Monte Carlo QMC calculations have played an important role in the development of the XC approximation, starting with the seminal work of Ceperley and Alder on the homogeneous electron gas 9. With computational and methodological advances, it is now becoming possible for QMC to compute accurate electron densities for realistic systems. In this article, we employ QMC calculations to analyze the electron density and binding energies calculated from DFT in order to elucidate the role of exchange in the XC approximation for describing weak interactions. In spite of the severe XC approximation dependence of the binding energy, our QMC results show that both the electron density and the reduced density gradient RDG are described quite accurately by DFT. Using these results, we show that an enhancement of the exchange energy density at large RDG values plays a critical role in obtaining accurate binding energies. We demonstrate that the diverging behavior of this enhancement factor at large RDG among different exchange approximations leads to significant differences in the binding energy. Taken together, these results show that the exchange description in XC approximations needs to be improved if DFT is to describe quantitatively and correctly the physics of weakly interacting systems, even with an accurate inclusion of nonlocal correlation. Tailoring the exchange enhancement factor at large RDG for weak interactions might improve significantly the description while essentially leaving unaffected other types of interactions and avoiding the computationally expensive optimized effective potential approach to obtain the exact exchange.