1. Magnetic Material Database Visualization System
The magnetic material database visualization system is used to provide detailed analysis at nano-level accuracies for large volumes of simulation data and quantum beam experiment*1 data for magnetic structures inside magnetic materials and to display 3D representations in a web browser.
Because micro-size material composition and structure are analyzed at the nano-level in magnetic material development, the amount of data per material type is approximately 15 billion entries, which reaches a size of 7 terabytes (TB). Because considerable time is required to analyze and visualize large volumes of data, previously, analysis could be conducted only using average values and other estimated statistical quantities. With this system, however, the high-speed data access software Hitachi Advanced Data Binder Platform*2, data integration and analysis platform software Pentaho, and the Hitachi Solutions geographical information system were used to enable rapid processing and visualization of data, and to enable the prediction and identification of factors leading to high performance in magnetic materials. In addition, the data from quantum beam experiments can be analyzed and visualized to assess whether a certain magnetic material has the same magnetic structure as the simulation. This enables pre-experiment simulations and studies for higher efficiency in material development by reducing the number of experiments and related costs.
Looking ahead, this system will be used to enable more efficient development of new magnetic materials such as high-performance magnets for next-generation automobile motors in electric and hybrid vehicles.
- Experiments where neutron and other beams are fired into materials to identify the atomic and molecular structures of the target material.
- Using the results of the “Development of the Fastest Database Engine for the Era of Very Large Database and Experiment and Evaluation of Strategic Social Services Enabled by the Database Engine Project” (Principal researcher: Masaru Kitsuregawa, Professor of the University of Tokyo and Director General of the National Institute of Informatics), which was supported by the Japanese Cabinet Office's Funding Program for World-Leading Innovative R&D on Science and Technology.