2016
DOI: 10.1002/zaac.201600293
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Link between Density and Molecular Structures of Energetic Azido Compounds as Green Plasticizers

Abstract: In this study a new correlation for predicting the density of energetic organic azido compounds through multiple linear regression method is proposed. The methodology assumes that the density of energetic azido compounds is a function of optimum elemental composition and several molecular structure descriptors. The new proposed correlation is derived on the basis of experimental density values of 38 energetic azido compounds with different molecular structure as training set. The determination coefficient of t… Show more

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Cited by 19 publications
(16 citation statements)
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“…[16] The two key properties of explosives, which are related to the density are described in terms of detonation velocity and pressure. [24] The aim of this work is to propose a new model to relate the detonation velocity of energetic cocrystals to their molecular structure through multiple linear regression method (MLR). The detonation velocity is directly proportional to the density according to the Kamlet-Jacobs equation.…”
Section: Introductionmentioning
confidence: 99%
“…[16] The two key properties of explosives, which are related to the density are described in terms of detonation velocity and pressure. [24] The aim of this work is to propose a new model to relate the detonation velocity of energetic cocrystals to their molecular structure through multiple linear regression method (MLR). The detonation velocity is directly proportional to the density according to the Kamlet-Jacobs equation.…”
Section: Introductionmentioning
confidence: 99%
“…Fathollahi et al [23] have predicted the densities of energetic co-crystals through the QSPR approach using an artificial neural network. Moreover, Zohari et al [24] have found a link between the densities and molecular structures of energetic azido compounds used as green plasticizers. Keshavarz et al [25] have successfully predicted the densities of energetic compounds through their molecular structures.…”
Section: Introductionmentioning
confidence: 99%
“…There are several publications which have used QSPR approaches to predict the relationship between different physicochemical properties of energetic materials. Such as studying of various physicochemical properties of ionic liquids through QSPR approaches [21][22][23][24] or studying the effect of different specific structural parameters on density of various type of energetic materials [25][26][27].…”
Section: Introductionmentioning
confidence: 99%