Mandal Sagarmoy, Nair Nisanth N
Department of Chemistry, Indian Institute of Technology Kanpur, Kanpur, India.
J Comput Chem. 2020 Jul 15;41(19):1790-1797. doi: 10.1002/jcc.26222. Epub 2020 May 14.
Ab initio molecular dynamics (AIMD) simulations employing density functional theory (DFT) and plane waves are routinely carried out using density functionals at the level of generalized gradient approximation (GGA). AIMD simulations employing hybrid density functionals are of great interest as it offers a more accurate description of structural and dynamic properties than the GGA functionals. However, the computational cost for carrying out calculations using hybrid functionals and plane wave basis set is at least two orders of magnitude higher than that using GGA functionals. Recently, we proposed a strategy that combined the adaptively compressed exchange operator formulation and the multiple time step integration scheme to reduce the computational cost by an order of magnitude [J. Chem. Phys. 151, 151102 (2019)]. In this work, we demonstrate the application of this method to study chemical reactions, in particular, formamide hydrolysis in an alkaline aqueous medium. By actuating our implementation with the well-sliced metadynamics scheme, we can compute the two-dimensional free energy surface of this reaction at the level of hybrid-DFT. This work also investigates the accuracy of the PBE0 (hybrid) and the PBE (GGA) functionals in predicting the free energetics of this chemical reaction.
采用密度泛函理论(DFT)和平面波的从头算分子动力学(AIMD)模拟通常使用广义梯度近似(GGA)水平的密度泛函来进行。采用杂化密度泛函的AIMD模拟备受关注,因为它比GGA泛函能更准确地描述结构和动力学性质。然而,使用杂化泛函和平面波基组进行计算的成本比使用GGA泛函至少高两个数量级。最近,我们提出了一种策略,该策略结合了自适应压缩交换算符公式和多时间步积分方案,将计算成本降低了一个数量级[《化学物理杂志》151, 151102 (2019)]。在这项工作中,我们展示了该方法在研究化学反应中的应用,特别是在碱性水介质中的甲酰胺水解反应。通过用精心切片的元动力学方案启动我们的实现,我们可以在杂化DFT水平上计算该反应的二维自由能表面。这项工作还研究了PBE0(杂化)和PBE(GGA)泛函在预测该化学反应自由能方面的准确性。