刘尚和, 李宏建, 刘直承, 等. 静电理论与防护[M]. 北京: 兵器工业出版社, 1999. LIU Shang-he, LI Hong-jian, LIU Zhi-cheng, et al. Electrostatic theory and protection[M]. Beijing: Weapon Industry Press, 1999.〖JP〗
[2]
王桂香, 肖鹤鸣, 居学海, 等. 含能材料的密度、爆速、爆压和静电感度的理论研究[J]. 化学学报, 2007, 65(6): 517-524. WANG Gui-xiang, XIAO He-ming, JU Xue-hai, et al. Theoretical studies on densities, detonation velocities and pressures and electric spark sensitivities of energetic materials[J]. Acta Cheimica Sinica, 2007, 65(6): 517-524.
[3]
Mohammad H K. Theoretical prediction of electric spark sensitivity of nitroaromatic energetic compounds based on molecular structure[J]. Journal of Energetic Materials, 2008, 153: 201-206.
[4]
Mohammad H K, Hamid R P, Abolfazl S. Simple way to predict electrostatic sensitivity of nitroaromatic compounds[J]. Chemistry, 2008, 17(6): 470-484.
[5]
Zeman V, Jirí KOCí, Zeman S. Electric spark sensitivity of polynitro compounds: Part Ⅱ. A correlation with detonation velocities of some polynitro arenes[J]. Chinese Journal of Energetic Materials, 1999, 7(3): 127-133.
[6]
Hall L H, Kier L B. Electrotopological state indices for atom types: A novel combination of electronic, topological, and valence state information[J]. Journal of Chemical Information and Computer Science, 1995, 35(6): 1039-1045.
[7]
Hall L H, Story C T. Boiling point and critical temperature of a heterogeneous data set: QSAR with atom type electrotopological state indices using artificial neural networks[J]. Journal of Chemical Information and Computer Science, 1996, 36(5): 1004-1014.
[8]
Huuskonen J. QSAR modeling with the electrotopological state indices: Predicting the toxicity of organic chemicals[J]. Chemosphere, 2003, 50(7): 949-953.
[9]
PAN Yong, JIANG Jun-cheng, WANG Rui, et al. Prediction of auto-ignition temperatures of hydrocarbons by neural network based on atom-type electrotopological state indices[J]. Journal of Hazardous Materials, 2008, 157: 510-517.
[10]
潘勇, 蒋军成. 电性拓扑状态指数预测烃类物质闪点[J]. 石油学报(石油加工), 2007, 23(6): 70-74. PAN Yong, JIANG Jun-cheng. Prediction of Flash Point of Hydrocarbon by Electrotopological State Indices[J]. Acta Petrolei Sinica(Petroleum Processing Section), 2007, 23(6): 70-74.
[11]
王睿, 蒋军成, 潘勇, 等. 均三硝基苯类化合物撞击感度与电性拓扑指数的QSPR研究[J]. 含能材料, 2008, 16(1): 90-93. WANG Rui, JIANG Jun-cheng, PAN Yong, et al. QSPR study of correlation between impact sensitivity of m-nitroaromatics and electrotopological state indices[J]. Chinese Journal of Energetic Materials, 2008, 16(1): 90-93.
[12]
王睿, 蒋军成, 潘勇, 等. 电性拓扑状态指数预测硝基类含能材料撞击感度[J]. 固体火箭技术, 2008, 31(6): 657-662. WANG Rui, JIANG Jun-cheng, PAN Yong, et al. Prediction on impact sensitivity of nitro energetic materials by means of electrotopological state indices[J]. Journal of Solid Rocket Technology, 2008, 31(6): 657-662.
