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A Simple Approach for Predicting the Density of High Nitrogen Organic Compounds as Materials for Providing Clean Products and Enormous Energy Release

机译:一种简单的方法,用于预测高氮有机化合物密度作为提供清洁产品和巨大能量释放的材料

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摘要

High nitrogen organic compounds (N>50 wt.%) are important for chemical industries because they can provide clean products with generally low-molecular weight product gases and enormous energy release. The density of these materials at or near room temperature is an important physical property for the assessment of their detonation and combustion performances. A novel method is introduced here for the prediction of the density of various classes of organic compounds, including different derivatives of triazole, tetrazole, triazine, tetrazine, furazan, and some organic nitrogen-containing chains. The core model is based on elemental composition, where its reliability has been improved by considering some molecular fragments including specific functional groups. The high reliability of these simple model has been compared with the output from two complex quantum mechanical approaches. For 91 high nitrogen compounds, the values of the standard deviation (SD) of the core and improved correlations were 0.076 and 0.047 g•cm~(-3). For a further 32 materials, the values of SD were 0.057 and 0.042 g•cm~(-3) for the core and improved correlations, respectively. These data are close to core and improved quantum mechanical methods, i.e. 0.056 and 0.042 g•cm~(-3), respectively, where the calculated data from complex quantum mechanical approaches were available.
机译:高氮有机化合物(N> 50重量%)对化学工业很重要,因为它们可以提供具有通常低分子量的产品气体和巨大能量释放的清洁产品。在室温或附近的这些材料的密度是评估其爆炸和燃烧性能的重要身体性质。这里介绍了一种新的方法,用于预测各类有机化合物的密度,包括三唑,四唑,三嗪,四嗪,呋唑和一些有机氮链条的不同衍生物。核心模型基于元素组合物,其中通过考虑一些包括特异性官能团的分子片段,改善了其可靠性。这些简单模型的高可靠性已经与来自两个复量子机械方法的输出进行了比较。对于91个高氮化合物,核心的标准偏差(SD)的值和改进的相关性为0.076和0.047g•cm〜(-3)。对于另外的32种材料,SD的值分别为核心的0.057和0.042g•cm〜(-3)和改进的相关性。这些数据分别接近核心和改进的量子机械方法,即0.056和0.042g•cm〜(-3),其中可获得复杂量子机械方法的计算数据。

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