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可变的分子连接性指数在有机化合物反磁磁化率拓扑研究中的应用 被引量:1

Application of variable molecular connectivity indices for topological research on diamagnetic susceptibilities of organic compounds
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摘要 For predicting the molar diamagnetic susceptibilities of organic compounds,a variable molecular connectivity index mχ′ and its converse index mχ″ based on adjacency matrix of molecular graphs and the variable atomic valence connectivity index δ′i were proposed.The optimal values of parameters a,b,and y included in definition of δ′i,mχ′ and mχ″ can be found by optimization method.When a=1.10,b=2.8,and y=0.36,a good five-parameter model can be constructed from mχ′ and mχ″ by using the best subsets regression analysis method for the molar diamagnetic susceptibilities of organic compounds.The results showed that the current method is more effective than literature methods for estimating the molar diamagnetic susceptibility of an organic compound. For predicting the molar diamagnetic susceptibilities of organic compounds, a variable molecular connectivity index ^mX′ and its converse index ^mX" based on adjacency matrix of molecular graphs and the variable atomic valence connectivity index δ′ were proposed. The optimal values of parameters a, b, and y included in definition of δ′i, ^mX′ and ^mX″ can be found by optimization method. When a=1.10, b=2.8, and y=0.36, a good five-parameter model can be constructed from ^mX′ and ^mX″ by using the best subsets regression analysis method for the molar diamagnetic susceptibilities of organic compounds. The results showed that the current method is more effective than literature methods for estimating the molar diamagnetic susceptibility of an organic compound.
出处 《化工学报》 EI CAS CSCD 北大核心 2009年第7期1859-1865,共7页 CIESC Journal
基金 江苏省高校自然科学基金项目(04KJD150195) 徐州师范大学自然科学培育基金项目(07PYL03)~~
关键词 反磁磁化率 有机化合物 可变的分子连接性指数 拓扑研究 优化 diamagnetic susceptibility organic compound variable molecular connectivity index topological research optimization
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参考文献1

  • 1Lailong Mu,Changjun Feng,Hongmei He. Topological research on diamagnetic susceptibilities of organic compounds[J] 2008,Journal of Molecular Modeling(2):109~134

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