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Propel- CHINESE JOURNAL OF ENERGETIC MATERIALS 含能材料 2020年第28卷第1期(1-12CHINESE JOURNAL OF ENERGETIC MATERIALS 含能材料 2020 年 第 28 卷 第 1 期 （1-12） 含 能 晶 体 密 度 预 测 的 研 究 进 展 能 材 料 密 度 的 研 究［J］. 计 算 机 与 应 用 化 学 ，2009，26（12）： 1529-1533. ZONG Zhao⁃xia，TANG Hong⁃sheng，HE Man，et al. Re⁃ search on QSPR for energetic materials based on genetic algo⁃ rithm support vector machine［J］. Computers and applied Chemistry，2009，26（12）：1529-1533. ［75］ Cho S G，Goh E M，Kim J K. Holographic QSAR models for es⁃ timating densities of energetic materials［J］. Bull Korean Chem Soc，2001，22（7）：775-778. ［76］ Lee A，Kim D，Kim K H，et al. Elucidation of specific aspects of dielectric constants of conjugated organic compounds：a QSPR approach［J］. Journal of Molecular Modeling，2012，18 （1）：251-256. ［77］ 高森 . 混合炸药感度理论预测研究［D］. 山西：中北大学，2011. GAO Sen. Research in sensitivity prediction of composite ex⁃ plosives［D］. Shanxi：North University of China，2011. ［78］ Xu J，Zhu L，Fang D，et al. QSPR studies of impact sensitivity of nitro energetic compounds using Three⁃Dimensional de⁃ scriptors［J］. Journal of Molecular Graphics and Modelling， 2012，36（6）：10-19. ［79］ 来蔚鹏，廉鹏，王伯周，等 . 用定量结构性质关系（QSPR）预测 芳香系炸药的密度［J］. 含能材料，2007，15（6）：626-655. LAI Wei⁃peng，LIAN Peng，WANG Be⁃zhou，et al. Prediction of density of aromatic explosives by quantitative struc⁃ ture⁃property relationship（QSPR）method［J］. Chinese Journal of Energetic Materials（Hanneng Cailiao），2007， 15（6）： 626-655. ［80］ Hwang S N，Lee J H，Lee S K，et al. Rapid and robust QSPR model for prediction of density for high energetic materials （HEMs）［C］//3th Symposia on High Energetic materials. ［81］ Li Jun⁃ling，Lu Fang⁃yun，Qin Jin⁃gui，et al. Effects of tempera⁃ ture and strain rate on the dynamic responses of three poly⁃ mer⁃bonded explosives［J］. Journal of Strain Analysis for Engi⁃ neering Design，2012，47（2）：104-112. ［82］ Mehmet S O. Artificial neural network approach to predict the electrical conductivity and density of Ag⁃Ni binary alloys［J］. Journal of Materials Processing Technology，2008，208（1-3）： 470-476. ［83］ 黄俊，周申范 . 人工神经网络法预测炸药爆速的研究［J］. 火炸药 学报，2000，23（1）：34-37. HUANG Jun，ZHOU Shen⁃fan. Predicting the detonating ve⁃ locity of explosives by artificial neural network［J］. Chinese Journal of Explosive & Propellants，2000，23（1）：34-37. ［84］ Wang D，Yuan Y，Duan S，et al. QSPR study on melting point of carbocyclic nitroaromatic compounds by multiple linear re⁃ gression and artificial neural network［J］. Chemometrics and In⁃ telligent Laboratory Systems，2015，143（1）：7-15. ［85］ Tatyana K. Detonation properties of high explosives calculated by revised Kihara⁃Hikita equation of state［C］//The Eighth Sym⁃ posium（International）on Detonation，1985：548-557. ［86］ 荔建锋，王蕾娜，陈念贻 . 人工神经网络用于 PBX 炸药装药密度 的研究［J］，火炸药学报，1997，（2）：26-29. LI Jian⁃feng，WANG Lei⁃na，CHEN Nian⁃yi. Research the den⁃ sity of PBX using aritificial neural network［J］. Chinese Journal of Explosive & Propellants，1997，20（2）：26-29. ［87］ 王国栋 . 含能材料主要性能参数的预测研究［D］. 山西：中北大 学，2007. WANG Guo⁃dong. Study on predicting properties of energetic material［D］. Shanxi：North University of China，2007. ［88］ 王国栋，刘存玉 . 神经网络在炸药晶体密度预测中的应用［J］. 火 炸药学报 .2007，30（1）：57-63. WANG Guo⁃dong，LIU Cun⁃yu. Application of artificial neural network in predicting the density of explosives［J］. Chinese Journal of Explosives & Propellants，2007，30（1）：57-63. ［89］ 章婷曦，黄俊，周申范 . 人工神经网络法预测炸药组分的色谱保 留值参数［J］. 色谱，2001，19（4）：319-322. ZHANG Ting⁃xi，HUANG Jun，ZHOU Shen⁃fan. Prediction of retention parameters of explosives by artificial neural network ［J］. Chinese Journal of Chromatography， 2001， 19（4）： 319-322. ［90］ 程娥，陈莉，葛忠学，等 . 一种改进的遗传算法在含能材料设计 中 的 研 究 与 应 用［J］. 计 算 机 与 应 用 化 学 ，2008，25（2）： 164-168. CHENG E，CHEN Li，GE Zhong⁃xue，et al. Application and re⁃ search of advanced GA in QSAR studies［J］. Computers and ap⁃ plied Chemistry，2008，25（2）：164-168. ［91］ Keshavarz M H. Prediction of densities of acyclic and cyclic ni⁃ tramines，nitrate esters and nitroaliphatic compounds for eval⁃ uation of their detonation performance［J］. Journal of Hazard⁃ ous Materials，2007，143（1-2）：437-442. ［92］ Keshavarz M H. New method for calculating densities of ni⁃ troaromatic explosive compounds［J］. Journal of Hazardous Materials，2007，145（1-2）：263-269. ［93］ Keshavarz M H，Pouretedal H R. A reliable simple method to estimate density of nitroaliphatics，nitrate esters and nitramines ［J］. Journal of Hazardous Materials， 2009， 169（1-3） ： 158-169. ［94］ Keshavarz M H，Zohari N，Seyedsadjadi S A. Validation of im⁃ proved simple method for prediction of activation energy of the thermal decomposition of energetic compounds［J］. Journal of Thermal Analysis and Calorimetry， 2013， 114 （2） ： 497-510. ［95］ Keshavarz M H，Motamedoshariati H，Moghayadnia R，et al. A new computer code for assessment of energetic materials with crystal censity，condense phase enthalpy of formation， and activation energy of thermolysis［J］. Propellants，Explo⁃ sive，Pyrotechnics，2013，38（1）：95-102. ［96］ Keshavarz M H，Rahimi R，Akbarzadeh A R. Two novel corre⁃ lations for assessment of crystal density of hazardous ionic mo⁃ lecular energetic materials using their molecular structures［J］. Fluid Phase Equilibria，2015，402（1）：1-8. ［97］ Keshavarz M H. Novel method for predicting densities of polynitro arene and polynitro heteroarene explosives in order to evaluate their detonation performance［J］. Journal of Hazard⁃ ous Materials，2009，165（2-3）：579-588. ［98］ Frem D. Theoretical studies on energetic properties of s⁃Tri⁃ azine substituted aminofurazan and aminofurazan and amino⁃ furoxan derivatives⁃high performance energetic material sys⁃ tems［J］. Combustion，Explosion，and Shock Waves，2014，50 （4）：441-446. ［99］ Keshavarz M H， Soury H，Motamedoshariati H，et al. Im⁃ proved method for prediction of density of energetic com ⁃ pounds using their molecular structure［J］. Structure Chemis⁃ try，2015，26（2）：455-466. ［100］Keshavarz M H，Jafari M，Motamedoshariati H，et al. Energet⁃ ic materials designing bench（EMDB），Version 1.0［J］. Propel⁃ 11