%0 Journal Article
%T REGULARITIES OF MUTUAL SOLUBILITY OF MOLTEN SALT-LIQUID METAL SYSTEMS<br>熔盐—液体金属相互溶解度的规律性
%A LIU Gang
%A CHEN Ruiliang
%A LI Chonghe
%A CHEN Nianyi
%A <br>刘刚
%A 陈瑞亮
%A 李重河
%A 陈念贻
%J 金属学报
%D 1997
%I 
%X Atomic parameter-artificial neural network method has been applied to study the regularities of the mutual solubility, the consolute temperatures, and the composition of monotectic points of molten salt-liquid metal systems. It has been found that larger melt's is correspond to lower mutual solubility. Trained artifical neural can be used to predict the consolute tempertures and the composition of monotectic points of molten salt-liquid metal systems. The error of the results of computerized prediction is rather small.
%K molten salt-liquid metal system
%K solubility
%K atomic parameter-artificial neuraI network method<br>熔盐
%K 液体金属
%K 溶解度
%K 互溶度
%K 留一法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=AB188D3B70B071C57EB64E395D864ECE&jid=B061E1135F1CBDEE96CD96C109FEAD65&aid=17FA1B7742901161CB0FBF097DC3D32E&yid=5370399DC954B911&vid=27746BCEEE58E9DC&iid=9CF7A0430CBB2DFD&sid=384C451D3BE0C38C&eid=72D13CE6C162BDF4&journal_id=0412-1961&journal_name=金属学报&referenced_num=0&reference_num=4