Department of Chemistry, Indian Institute of Technology Kanpur (IITK), Kanpur 208016, India.
Interdisciplinary Center for Molecular Materials and Computer Chemistry Center, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Nägelsbachstr. 25, Erlangen 91052, Germany.
J Chem Theory Comput. 2021 Apr 13;17(4):2244-2255. doi: 10.1021/acs.jctc.1c00009. Epub 2021 Mar 19.
molecular dynamics (MD) with hybrid density functionals and a plane wave basis is computationally expensive due to the high computational cost of exact exchange energy evaluation. Recently, we proposed a strategy to combine adaptively compressed exchange (ACE) operator formulation and a multiple time step integration scheme to reduce the computational cost significantly [ 151102 ]. However, it was found that the construction of the ACE operator, which has to be done at least once in every MD time step, is computationally expensive. In the present work, systematic improvements are introduced to further speed up by employing localized orbitals for the construction of the ACE operator. By this, we could achieve a computational speedup of an order of magnitude for a periodic system containing 32 water molecules. Benchmark calculations were carried out to show the accuracy and efficiency of the method in predicting the structural and dynamical properties of bulk water. To demonstrate the applicability, computationally intensive free-energy computations at the level of hybrid density functional theory were performed to investigate (a) methyl formate hydrolysis reaction in neutral aqueous media and (b) proton-transfer reaction within the active-site residues of the class C β-lactamase enzyme.
由于精确交换能评估的计算成本很高,因此使用混合密度泛函和平面波基的分子动力学(MD)计算成本很高。最近,我们提出了一种策略,即将自适应压缩交换(ACE)算子公式和多时间步积分方案相结合,以显著降低计算成本[151102]。然而,我们发现 ACE 算子的构建在每个 MD 时间步中至少要进行一次,因此计算成本很高。在本工作中,通过为 ACE 算子的构建使用局域轨道,引入了系统的改进,以进一步加速。通过这种方式,我们可以实现包含 32 个水分子的周期性系统的计算速度提高一个数量级。进行了基准计算以证明该方法在预测块状水的结构和动力学性质方面的准确性和效率。为了证明适用性,在杂化密度泛函理论的水平上进行了计算成本很高的自由能计算,以研究(a)中性水介质中甲酸甲酯的水解反应和(b)C 类β-内酰胺酶活性部位残基内的质子转移反应。