Peng Zhang, YuQin Chu, Yang Zhu, CongMing Ma, Peng Ma
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The influence of external electric field on the structure of pentazole ionic salt
Context
Pentazole ion salt is a cutting-edge new type of all-nitrogen ion high-energy material. When subjected to an external electric field (EEF), the structure and various properties of pentazole ion salts are altered. This article studied six types of pentazole ion salts (PA-1 ~ PA-6) under an external electric field (intensity 0 ~ 0.008 a.u.). GGA/PBE method was used to calculate and analyze the lattice constants, cell volume, density, bond length, bond angle, dihedral angle, energy bands, and density of states of pentazole ion salts. The results showed that six types of pentazole ion salts exhibited good crystal and geometric stability under the action of an external electric field. The band gap exhibits different levels of decrease, and electrons are more prone to transition, resulting in a continuous weakening of the stability of pentazole ion salts. The dense attitudes of PA-1, PA-3, PA-4, and PA-6 gradually shift towards the low-energy region, with an increase in peak width and a splitting phenomenon. The peak values show a gradually decreasing trend. The electronic structures of PA-2 and PA-5 exhibit high stability. PA-3 and PA-6 are more sensitive to the applied electric field.
Methods
The Materials Studio software has been chosen for simulation and computation in this study. The GGA/PBE method has been utilized for the calculation and simulation of external electric fields, with the strength ranging from 0 to 0.008 a.u. and an increment gradient of 0.001 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.