MOLTEN SALT PHASE DIAGRAMS CALCULATION USING ARTIFICIAL NEURAL NETWORK OR PATTERN RECOGNITION-BOND PARAMETERS Part1. The prediction of the phase diagrams of binary molten salt systems
来源期刊：中国有色金属学报(英文版)1998年第1期
论文作者：Wang Xueye Qiu Guanzhou Wang Dianzuo Chen Nianyi
文章页码：142 - 148
Key words：phase diagram calculation; artificial neural network; pattern recognition; bond parameter; binary molten salt system
Abstract: Artificial neural network or pattern recognition together with chemical bond parameters method has been used to classify and predict the characteristics of the phase diagrams of binary molten salt systems. These characteristics are the formability, the chemical stoichiometry, the melting type and the melting point or decomposition temperature of intermediate compound and the formability of solid solution or eutectic mixture. The molten salt systems studied are some halide compounds such as MeX-Me’X, MeX-REX3 and MeX-Me’X4(Me, Me’denote metallic elements, RE rare earth, X halogen) systems. The mathematical models obtained from the experimental data of the known phase diagrams were used to predict the properties of the unknown phase diagrams.
