1,1-二氨基-2,2-二硝基乙烯(FOX-7)后续分解机理的理论研究

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Yuheng Luo, Komal Yadav, Ralf Kaiser, Rui Sun
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引用次数: 0

摘要

本文的计算研究重点是FOX-7连续分解的机理,并将结果与近期的实验研究结果进行了比较[J]。理论物理。化学。[A] 2023,127,7707]在202 nm下光解(592 kJ/mol)。这些化合物的形成机制,包括氰酰胺变体(HNCNH和NH2CN)、羟胺(NH2OH)、亚硝胺(NH2NO)、二氨基乙炔(H2NCCNH2)、氰(NCCN)、水(H2O)、氨(NH3)、尿素((NH2)2CO)、羟基脲(NH2C(O)NHOH)和甲酰胺(NH2CHO),以前只是推测,没有任何能量信息。本研究采用无监督势能分布搜索协议和从头算分子动力学(AIMD)模拟来确定导致这些化合物的反应途径。计算结果表明,虽然一些产物(如HNCNH、NH2CN、H2NCCNH2和NCCN)可以通过单分子分解形成,但其他产物(如NH2OH、NH2NO、H2O、NH3、(NH2)2CO、NH2C(O)NHOH和NH2CHO)如果通过单分子分解产物之间的双分子重组或产物与FOX-7分子之间的双分子重组形成,则在能量上更有利。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Theoretical Study of the Subsequent Decomposition Mechanisms of 1,1-Diamino-2,2-dinitroethene (FOX-7)

This computational study focuses on the mechanism of the consecutive decomposition of FOX-7 and compares the results with recent experimental study [J. Phys. Chem. A 2023, 127, 7707] under 202 nm photolysis (592 kJ/mol). The mechanisms of forming these compounds, including cyanamide variants (HNCNH and NH2CN), hydroxylamine (NH2OH), nitrosamine (NH2NO), diaminoacetylene (H2NCCNH2), cyanogen (NCCN), water (H2O), ammonia (NH3), urea ((NH2)2CO), hydroxyurea (NH2C(O)NHOH), and formamide (NH2CHO), have only been speculated on without any energetic information previously. This study employed an unsupervised potential energy profile search protocol and ab initio molecular dynamics (AIMD) simulations to identify reaction pathways leading to these compounds. The calculations reveal that although some products (e.g., HNCNH, NH2CN, H2NCCNH2, and NCCN) can be formed via unimolecular decomposition, other products (e.g., NH2OH, NH2NO, H2O, NH3, (NH2)2CO, NH2C(O)NHOH, and NH2CHO) are energetically favored if they are formed via bimolecular recombination between unimolecular decomposition products or a product and a FOX-7 molecule.

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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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