Data Analysis Environment for Materials Science and Engineering Integrating Heterogeneous Data Resources (short paper)

Materials performance analysis requires to integrate many heterogeneous data and information resources, experimental data, empirical/theoretical models and computational simulations. It means data analysis platform for materials science and engineering should provide many functionalities, e.g., data retrieval, processing, statistical analysis, symbolic mathematics, visualization and scripting capabilities to store the typical data analysis process and also, these heterogeneous data resources should be accessed unified way. Scripting language Python provides many of these capabilities with additional software modules and widely applied to interactive/non-interactive data processing environment. In this paper, a prototype design and implementation of data analysis environment for materials science and engineering is presented.