改善高能吡嗪及其 N-氧化物的特性。

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Dmitry V. Khakimov, Tatyana S. Pivina
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引用次数: 0

摘要

背景:基于量子化学和原子-原子势的方法,建立了一些高能吡嗪的分子和晶体结构模型:未取代的重氮,以及完全硝化的 1,4-二氮杂苯,它们的氧化物和多晶体。确定了这些化合物的形成焓、分子晶体密度和一些性能特征。还估算了物质的分解参数。结果表明,四硝基吡嗪-1,4-二氧化物具有最大的能量含量和优异的性能特征,这决定了将该化合物作为高能化合物系列的前景:在这项工作中,通过软件 Gaussian 09 使用 B3LYP 函数进行了 DFT 计算,基集为 aug-cc-PVDZ,Grimme 色散校正为 D2。在优化晶体结构时,使用了带有 PMC 程序(晶体中的分子堆积)的原子-原子势能法。分子静电位的电荷由 FitMEP 拟合,气相中的形成焓由 G3B3 评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Towards improving the characteristics of high-energy pyrazines and their N-oxides

Towards improving the characteristics of high-energy pyrazines and their N-oxides

Context

Based on the methods of quantum chemistry and atom–atom potentials, the molecular and crystal structure of a number of high-energy pyrazines was modeled: unsubstituted diazines, as well as fully nitrated 1,4-diazabenzenes, their oxides and polymorphs. The enthalpies of formation, densities of molecular crystals, and some performance characteristics of these compounds were determined. The parameters of decomposition of substances were estimated. It has been established that tetranitropyrazine-1,4-dioxide has maximum energy content and excellent performance characteristics, which determine the prospects for using this compound as a high-energy one in the considered series of compounds.

Methods

In this work, DFT calculations were conducted through the software Gaussian 09 using B3LYP functional with basis set aug-cc-PVDZ and the Grimme dispersion correction D2. For crystal structure optimization, the atom–atom potential methods with PMC program (Packing of Molecules in Crystal) were used. Charges for molecular electrostatic potential were fitted by FitMEP and enthalpies of formation in gas phase were assessed by G3B3.

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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
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.
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