Embedding-theory-based simulations using experimental electron densities for the environment

基于嵌入理论的模拟,利用实验电子密度数据模拟环境

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Abstract

The basic idea of frozen-density embedding theory (FDET) is the constrained minimization of the Hohenberg-Kohn density functional E(HK)[ρ] performed using the auxiliary functional E_{v_{AB}}^{\rm FDET}[\Psi _A, \rho _B], where Ψ(A) is the embedded N(A)-electron wavefunction and ρ(B)(r) is a non-negative function in real space integrating to a given number of electrons N(B). This choice of independent variables in the total energy functional E_{v_{AB}}^{\rm FDET}[\Psi _A, \rho _B] makes it possible to treat the corresponding two components of the total density using different methods in multi-level simulations. The application of FDET using ρ(B)(r) reconstructed from X-ray diffraction data for a molecular crystal is demonstrated for the first time. For eight hydrogen-bonded clusters involving a chromophore (represented as Ψ(A)) and the glycylglycine molecule [represented as ρ(B)(r)], FDET is used to derive excitation energies. It is shown that experimental densities are suitable for use as ρ(B)(r) in FDET-based simulations.

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