可视化策略的数据分析
科学论文的写作少不了用图表对重要数据进行展示，以图表形式展示材料属性之间的关系，既能突出重要关系，又能增强对材料行为的理解，也方便对材料作出选择。不过，许多情况下，这些相关性本质上是高度多维的，通常只能使用二维图表分析来建立不同属性之间的关系，可能仅表达了这些关系的某些方面。要使材料的高维数据可视化、可作有意义的比较分析困难不小。来自美国lehigh大学的jeffrey rickman，采用可视化策略（即平行坐标）的数据分析方法，更好地展示了多维材料数据，可以更好地识别不同属性之间的有用关系。他以这种方法，构建了金属系和陶瓷系多维材料属性图表，并作了系统分析，简化了高维几何图形的描述，实现了尺寸缩小和重要属性之间关系的识别，强化了不同材料类别之间的区别，为识别材料各属性之间的关系提供了强有力的工具。
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.
MOSFET在服务器电源上的应用
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xMEMS推出适用于TWS和助听器的全球超小型MEMS扬声器Cowell
Cadence射频集成电路解决方案
传德州仪器接管中芯国际放弃的成都芯片厂
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三个实例为你展示对二极管压降变化进行补偿
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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.
MOSFET在服务器电源上的应用
在转换器中使用多层陶瓷电容器的优势
xMEMS推出适用于TWS和助听器的全球超小型MEMS扬声器Cowell
Cadence射频集成电路解决方案
传德州仪器接管中芯国际放弃的成都芯片厂
可视化策略的数据分析
如何使用SAST和SCA缓解漏洞
疫情冲击下UV LED紫外光源迎来新机遇
iPhoneXi 和Xi Max细节全曝光!
5G基站耗电量巨大，导致不得不建设供电电网
电视行业变革 OLED取代LCD成为新屏幕霸主
2.7V 到 5.5V、 12Bit、8 通道轨到轨输出数模转换器MS5208/SGM5348/DAC128SO85
三个实例为你展示对二极管压降变化进行补偿
j基于RF电路的LDO电源系统设计(抑制比和噪声的选择)
CW-10型全自动微量水分测定仪的详细介绍
华为业务部总裁赵明感慨：荣耀Magic未来手机充电太快！
用于互联医疗设备的无线 SoC
10月安卓手机性能榜公布
苹果将联手合作伙伴对印度制造工厂投资10亿多美元
为何无线充电才是可穿戴设备的未来？