物理化学学报 >> 1996, Vol. 12 >> Issue (01): 67-70.doi: 10.3866/PKU.WHXB19960115
研究简报 上一篇 下一篇
王学业,康德山,李重河,钦佩,陈念贻
收稿日期:
修回日期:
发布日期:
通讯作者:
Wang Xue-Ye,Kang De-Shan,Li Chong-He,Qin Pei,Chen Nian-Yi
Received:
Revised:
Published:
Contact:
关键词: 熔盐相图, 模式识别, 人工神经网络, 化学键参数
Abstract:
Rules of molten salt phase diagrams of binary system MeX-Me’X4 (Me is monovalent metal, Me’ quadrivalent metal, X halides) were investigated using chemical bond parameter and pattern recognition-artificial neural networks method. Formability of intermediate compounds, chemical stiochiometry, melting type (congruent or incongruent) of intermediate compounds Me2Me’X6 and MeMe’X5 were summarized and predicted, the results were of good reliability.
Key words: Molten salt phase diagrams, Pattern recognition, Artificial neural networks, Chemical bond parameters
王学业,康德山,李重河,钦佩,陈念贻. 金属卤化物熔盐系相图的规律及计算机预报[J]. 物理化学学报, 1996, 12(01): 67-70.
Wang Xue-Ye,Kang De-Shan,Li Chong-He,Qin Pei,Chen Nian-Yi. Regularity and Prediction of Molten Salt Phase Diagrams of Monovalent and Quadrivalent Metal Halide Binary Systems[J]. Acta Phys. -Chim. Sin., 1996, 12(01): 67-70.
0 /
导出引用管理器 EndNote (中文内容)|EndNote (英文内容)| Reference Manager|ProCite|BibTeX|RefWorks
链接本文: http://www.whxb.pku.edu.cn/CN/10.3866/PKU.WHXB19960115
http://www.whxb.pku.edu.cn/CN/Y1996/V12/I01/67
Cited