三元运算
二进制数
财产(哲学)
化学计量学
非线性系统
材料科学
结晶学
第四纪
计算机科学
统计物理学
热力学
晶体结构
化学
数学
地质学
物理
有机化学
量子力学
算术
古生物学
哲学
认识论
程序设计语言
作者
P. Villars,Klaus Brandenburg,M. Berndt,Steven R. LeClair,A. G. Jackson,Y.-H. Pao,B. Igelnik,Mark E. Oxley,Bhavik R. Bakshi,P Chen,Shuichi Iwata
标识
DOI:10.1016/s0925-8388(00)01410-9
摘要
A significant breakthrough has been achieved in the design of new materials by using materials databases, semiempirical approaches and neural networks. It was found in the present work that a nonlinear expression involving one elemental property parameter can be used to predict, with an overall accuracy exceeding 99%, the occurrence of a compound for any binary, ternary or quaternary system. This elemental property parameter, referred to as the Mendeleev number, was conceived by D.G. Pettifor in 1983 to group binary compounds by crystal structures. The immediate profit of this discovery is the obvious savings, in time and resources, relative to the investigation of yet-to-be-studied, materials systems. In the longer term the relation found here will make it possible to better define the search space for the development of new materials and encourage attempts to predict more specific information such as stoichiometries, crystal structures and physical properties.
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