School of Chemistry and Molecular Engineering, Shanghai Engineering Research Center of Molecular Therapeutics & New Drug Development, East China Normal University, Shanghai 200062, China.
Department of Chemistry and Chemical Biology, Rutgers University, Piscataway, NJ 08854, USA.
Molecules. 2021 May 23;26(11):3120. doi: 10.3390/molecules26113120.
We develop a fragment-based ab initio molecular dynamics (FB-AIMD) method for efficient dynamics simulation of the combustion process. In this method, the intermolecular interactions are treated by a fragment-based many-body expansion in which three- or higher body interactions are neglected, while two-body interactions are computed if the distance between the two fragments is smaller than a cutoff value. The accuracy of the method was verified by comparing FB-AIMD calculated energies and atomic forces of several different systems with those obtained by standard full system quantum calculations. The computational cost of the FB-AIMD method scales linearly with the size of the system, and the calculation is easily parallelizable. The method is applied to methane combustion as a benchmark. Detailed reaction network of methane reaction is analyzed, and important reaction species are tracked in real time. The current result of methane simulation is in excellent agreement with known experimental findings and with prior theoretical studies.
我们开发了一种基于片段的从头算分子动力学 (FB-AIMD) 方法,用于高效模拟燃烧过程的动力学。在该方法中,分子间相互作用通过片段的多体展开来处理,其中忽略了三体或更高体相互作用,而如果两个片段之间的距离小于截断值,则计算二体相互作用。通过将 FB-AIMD 计算的能量和原子力与标准全系统量子计算得到的能量和原子力进行比较,验证了该方法的准确性。FB-AIMD 方法的计算成本与系统的大小呈线性关系,并且计算易于并行化。该方法应用于甲烷燃烧作为基准。分析了甲烷反应的详细反应网络,并实时跟踪重要的反应物种。目前甲烷模拟的结果与已知的实验结果和先前的理论研究非常吻合。