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无标X射线衍射定量相分析的极小范数解

赵晗 , 宫延生 , 沈晶渊 , 阮启宽 , 金嘉玲 , 朱汉宇

金属学报

本文用X射线衍射矢量模强度矩阵来建立无标相分析表达式,提出了无标分析的判定标准,并从样品的衍射图谱中分离出各相的衍射图谱,采用最小二乘回归法求其最优解。

关键词: X射线衍射 , standardless phase analysis , least square regression

酚类物质臭氧氧化降解的定量构效关系

杨静 , 王建兵 , 王亚华 , 张峰源 , 何绪文

环境化学 doi:10.7524/j.issn.0254-6108.2015.10.2015022701

测定了23种酚的臭氧氧化速率,分别采用遗传算法( GA)结合偏最小二乘法( PLS)、遗传算法结合人工神经网络( ANN)建立了酚类物质臭氧氧化速率的定量构效关系( QSAR)模型.研究表明,臭氧氧化酚的速率可用伪一级反应速率模型描述,苯环上取代基得失电子的能力对酚的氧化速率影响较大.基于GA?PLS算法建立的QSAR模型为lgk=3.439-0.206lgP(辛醇?水分配系数对数值)+0.122×pKa(解离常数)+0.3464χpc (四阶路径/簇分子连接性指数)-0.0236qC-(碳原子所带最大负电荷).基于GA?ANN算法建立的QSAR模型含有参数lgP、4χpc、pKa 和α(平均分子极化率).留一法交叉验证结果表明,基于GA?ANN算法建立的模型比基于GA?PLS算法建立的模型具有更好的稳健性.QSAR研究表明,酚的臭氧氧化速率与电子云分布以及苯环上取代基的性质密切相关,另外,水的溶剂化作用对酚的氧化速率也有显著影响.

关键词: 臭氧氧化 , , 遗传算法 , 偏最小二乘算法 , 人工神经网络

A SOLUTION OF MINIMUM NORM FOR QUANTITATIVE PHASE ANALYSIS BY STANDARDLESS X-RAY DIFFRACTION

ZHAO Han GONG Yansheng SHEN Jingyuan RUAN Qikuan JIN Jialing ZHU Hanyu Research Institute of Qiqihar Steel Works , Fulaerji , China

金属学报(英文版)

A new expression of quantitative phase analysis by standardless X-ray diffraction has been derived using intensity matrix of vector modulus.The criterion of standardless X-ray diffraction analysis was suggested,so as to separate the diffraction pattern of every phase from that of sample.The optimal solution could be obtained by the least squares regression.

关键词: X-ray diffraction , null , null

A SOLUTION OF MINIMUM NORM FOR QUANTITATIVE PHASE ANALYSIS BY STANDARDLESS X-RAY DIFFRACTION

ZHAO Han GONG Yansheng SHEN Jingyuan RUAN Qikuan JIN Jialing ZHU Hanyu Research Institute of Qiqihar Steel Works , Fulaerji , China GONG Yansheng Senior Engineer , Research Institute of Qiqihar Steel Works , Filaerji 161041 , China

金属学报(英文版)

A new expression of quantitative phase analysis by standardless X-ray diffraction has been derived using intensity matrix of vector modulus,The criterion of standardless X-ray diffraction analysis was suggested,so as to separate the diffraction pattern of every phase from that of sample.The optimal solution could be obtained by the least squares regression.

关键词: X-ray diffraction , null , null

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