Informatics for combinatorial materials science

被引：0
|
作者：
S. Broderick
C. Suh
J. Nowers
B. Vogel
S. Mallapragada
B. Narasimhan
K. Rajan
机构：
[1] Institute for Combinatorial Discovery and the NSF Combinatorial Sciences Materials Informatics Collaboratory-International Materials Institute at Iowa State University,Department of Chemical Engineering
[2] Bucknell University,undefined
来源：
JOM | 2008年 / 60卷
关键词：
Interpenetrate Polymer Network; Material Informatics; Informatics Technique; Simple Visual Inspection; Polyanhydride;
D O I：
暂无
中图分类号：
学科分类号：
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
收藏
页码：56 / 59
页数：3
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