Mengjie Bo, Zikai Gao, Zhihui Gu, Congming Ma, Peng Ma
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引用次数: 0
Abstract
Context
This article mainly studies three isomers of C5H3N7O10, namely 5-methyl-3,4-dinitro-1- (trinitromethyl) -1H pyrazole (1), 4-methyl-3,5-dinitro-1- (trinitromethyl) -1H pyrazole (2), and 3,5-bis (dinitromethyl) -4-nitro-1H-pyrazole (3). These three substances are excellent candidates for energetic materials, but their properties under external electric fields (EEF) have not been studied. Therefore, this article studied the properties of three isomers under EEF using density functional theory (DFT), and conducted statistical analysis on the obtained data, including the molecular structure, frontier molecular orbitals, surface electrostatic potential, and nitrate charge of the three isomers. The results showed that applying EEF to the trigger bonds of 1 and 2 increased bond length, leading to a decrease in material stability. The change in bond length induced by 3 was relatively stable, and the results obtained from calculating the nitro charge were consistent with the bond length results. When an EEF is applied to three substances, the polarization degree of the molecules of the three substances increases. It is worth mentioning that the polarization degree of the molecules under the influence of a negative EEF is greater than that of a positive EEF.
Methods
Using density functional theory, the B3LYP/6–311 + G (d, p) method was employed for structural optimization. After optimizing convergence, ensure that there are no imaginary frequencies to obtain a stable structure. Wave function analysis was performed using Multiwfn 3.8 and VMD 1.9.3. The EEF strength ranged from − 0.02 a.u. to 0.02 a.u., with a growth gradient of 0.005 a.u.
期刊介绍:
The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling.
Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry.
Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.