Dehez François, Martins-Costa Marília T C, Rinaldi Daniel, Millot Claude
Unité Mixte de Recherche, Centre National de la Recherche Scientifique-Université Henri Poincaré (CNRS-UHP) 7565, Institut Nancéien de Chimie Moléculaire, Université Henri Poincaré-Nancy I, BP 239, Vandoeuvre-lès-Nancy 54506, France.
J Chem Phys. 2005 Jun 15;122(23):234503. doi: 10.1063/1.1931667.
A method based on a lattice summation technique for treating long-range electrostatic interactions in hybrid quantum mechanics/molecular mechanics simulations is presented in this article. The quantum subsystem is studied at the semiempirical level, whereas the solvent is described by a two-body potential of molecular mechanics. Molecular dynamics simulations of a (quantum) chloride ion in (classical) water have been performed to test this technique. It is observed that the application of the lattice summations to solvent-solvent interactions as well as on solute-solvent ones has a significant effect on solvation energy and diffusion coefficient. Moreover, two schemes for the computation of the long-range contribution to the electrostatic interaction energy are investigated. The first one replaces the exact charge distribution of the quantum solute by a Mulliken charge distribution. The long-range electrostatic interactions are then calculated for this charge distribution that interacts with the solvent molecule charges. The second one is more accurate and involves a modified Fock operator containing long-range electron-charge interactions. It is shown here that both schemes lead to similar results, the method using Mulliken charges for the evaluation of long-range interactions being, however, much more computationally efficient.
本文介绍了一种基于晶格求和技术的方法,用于处理混合量子力学/分子力学模拟中的长程静电相互作用。量子子系统在半经验水平上进行研究,而溶剂则由分子力学的两体势描述。对(量子)氯离子在(经典)水中进行了分子动力学模拟,以测试该技术。结果表明,将晶格求和应用于溶剂-溶剂相互作用以及溶质-溶剂相互作用,对溶剂化能和扩散系数有显著影响。此外,还研究了两种计算静电相互作用能长程贡献的方案。第一种方案用穆利肯电荷分布代替量子溶质的精确电荷分布。然后针对这种与溶剂分子电荷相互作用的电荷分布计算长程静电相互作用。第二种方案更精确,涉及一个包含长程电子-电荷相互作用的修正福克算子。结果表明,两种方案都能得到相似的结果,然而,使用穆利肯电荷评估长程相互作用的方法在计算上效率更高。