.png){kind=icon}
返回
Data analytics and parallel-coordinate materials property charts
.png){kind=icon}
OA
AI
DOI：10.1038/s41524-017-0061-8.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
It is often advantageous to display material properties relationships in the form of charts that highlight important correlations and thereby enhance our understanding of materials behavior and facilitate materials selection. Unfortunately, in many cases, these correlations are highly multidimensional in nature, and one typically employs low-dimensional cross-sections of the property space to convey some aspects of these relationships. To overcome some of these difficulties, in this work we employ methods of data analytics in conjunction with a visualization strategy, known as parallel coordinates, to represent better multidimensional materials data and to extract useful relationships among properties. We illustrate the utility of this approach by the construction and systematic analysis of multidimensional materials properties charts for metallic and ceramic systems. These charts simplify the description of high-dimensional geometry, enable dimensional reduction and the identification of significant property correlations and underline distinctions among different materials classes.
Keyword:
VISUALIZATION
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
11.9
论文数:
2.4K
被引数:
1.7W
机构
引用论文
Investigation of the relationship between elastic modulus and hardness based on depth-sensing indentation measurements基于深度感应压痕测量的弹性模量与硬度关系研究.png)
ACTA MATERIALIA
ACTA MATERIALIAIF9.3
PREAI
分享收藏
分享收藏
查看更多内容