摘要
运用化学键参数和人工神经网络方法总结CsCl晶型金属间化合物熔化类型(同分熔化或异分熔化)和熔点的规律,并试用于熔化类型和熔点的预报或估计。
Chemical bond parameters and artifical neural networks have been used to find the regularities of melting types(congruent or incongruent melting and melting points of CsCl-type alloy phases.And computerized prediction or estimation of the melting types and melting points has been tried with good results.
出处
《计算机与应用化学》
CAS
CSCD
1995年第2期122-124,共3页
Computers and Applied Chemistry