Mining for elastic constants of intermetallics from the charge density landscape

被引:7
作者
Kong, Chang Sun [1 ]
Broderick, Scott R. [1 ]
Jones, Travis E. [2 ]
Loyola, Claudia [1 ]
Eberhart, Mark E. [2 ]
Rajan, Krishna [1 ]
机构
[1] Iowa State Univ, Dept Mat Sci & Engn, Ames, IA 50011 USA
[2] Colorado Sch Mines, Mol Theory Grp, Golden, CO 80401 USA
关键词
Charge density; Critical point; Intermetallics; Elastic constant; Data mining; Quantitative structure-property; relationship; METALS;
D O I
10.1016/j.physb.2014.11.002
中图分类号
O469 [凝聚态物理学];
学科分类号
070205 ;
摘要
There is a significant challenge in designing new materials for targeted properties based on their electronic structure. While in principle this goal can be met using knowledge of the electron charge density, the relationships between the density and properties are largely unknown. To help overcome this problem we develop a quantitative structure-property relationship (QSPR) between the charge density and the elastic constants for B2 intermetallics. Using a combination of informatics techniques for screening all the potentially relevant charge density descriptors, we find that C-11 and C-44 are determined solely from the magnitude of the charge density at its critical points, while C-12 is determined by the shape of the charge density at its critical points. From this reduced charge density selection space, we develop models for predicting the elastic constants of an expanded number of intermetallic systems, which we then use to predict the mechanical stability of new systems. Having reduced the descriptors necessary for modeling elastic constants, statistical learning approaches may then be used to predict the reduced knowledge-based required as a function of the constituent characteristics. (C) 2014 Elsevier By. All rights reserved.
引用
收藏
页码:1 / 7
页数:7
相关论文
共 37 条
[11]   Performance of some variable selection methods when multicollinearity is present [J].
Chong, IG ;
Jun, CH .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2005, 78 (1-2) :103-112
[12]   Charge-density-shear-moduli relationships in aluminum-lithium alloys [J].
Eberhart, M .
PHYSICAL REVIEW LETTERS, 2001, 87 (20) :205503-1
[13]   Cauchy pressure and the generalized bonding model for nonmagnetic bcc transition metals [J].
Eberhart, Mark E. ;
Jones, Travis E. .
PHYSICAL REVIEW B, 2012, 86 (13)
[14]   The metallic bond: Elastic properties [J].
Eberhart, ME .
ACTA MATERIALIA, 1996, 44 (06) :2495-2504
[15]   BONDING-PROPERTY RELATIONSHIPS IN INTERMETALLIC ALLOYS [J].
EBERHART, ME ;
CLOUGHERTY, DP ;
MACLAREN, JM .
JOURNAL OF MATERIALS RESEARCH, 1993, 8 (03) :438-448
[16]  
Ericksson L., 2001, MULTIMEGAVARIATE DAT
[17]   Extracting information from the molten salt database [J].
Gadzuric, Slobodan ;
Suh, Changwon ;
Gaune-Escard, Marcelle ;
Rajan, Krishna .
METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE, 2006, 37A (12) :3411-3414
[18]   Principal component analysis on properties of binary and ternary hydrides and a comparison of metal versus metal hydride properties [J].
George, Lyci ;
Hrubiak, Ross ;
Rajan, Krishna ;
Saxena, Surendra K. .
JOURNAL OF ALLOYS AND COMPOUNDS, 2009, 478 (1-2) :731-735
[19]   Analysis of a large structure-activity data set using recursive partitioning [J].
Hawkins, DM ;
Young, SS ;
Rusinko, A .
QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIPS, 1997, 16 (04) :296-302
[20]  
ictor Luana V., 2003, J CHEM PHYS, V119, P22