Informatics for combinatorial materials science

被引：24

作者：

Broderick, S. ^{[1
,2
]}

Suh, C. ^{[1
,2
]}

Nowers, J. ^{[1
,2
]}

Vogel, B. ^{[3
]}

Mallapragada, S. ^{[1
,2
]}

Narasimhan, B. ^{[1
,2
]}

Rajan, K. ^{[1
,2
]}

机构：

[1] Iowa State Univ, Inst Combinatorial Discovery, Ames, IA 50011 USA

[2] Iowa State Univ, NSF, Combinatorial Sci Mat Informat Collaboratory, Int Mat Inst, Ames, IA 50011 USA

[3] Bucknell Univ, Dept Chem Engn, Lewisburg, PA 17837 USA

来源：

JOM | 2008年 / 60卷 / 03期

关键词：

17;

D O I：

10.1007/s11837-008-0035-x

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Combinatorial experiments aim to create large amounts of data and information. and managing that data is a challenge. This article will focus on how to scientifically interpret the data generated from combinatorial experiments and high-throughput screening.

引用

页码：56 / 59

页数：4

共 17 条

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[12]

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[13]

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[15]

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Narasimhan, B ;

Mallapragada, SK .

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[17]

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