WAVEBASE: A Materials Informatics Platform for Spectral and Image Measurements

Abstract: Recognizing the opportunity afforded by correlating large data sets, Toyota has set out to develop mathematical framework for analyzing a wide range of data obtained from materials measurements across a diverse range of material sets, WAVEBASE. This approach makes it possible to identify the effective dimensionality embedded in measurement data and to visualize statistically extracted features. Application of datasets from neutron and synchrotron-based measurements will be discussed. We anticipate the WAVEBASE platform will support future advances in science and technology through data accumulation, traceability and reuse with generative artificial intelligence (AI).

Bio: Tetsuya Shoji completed doctoral studies at Hokkaido University developing expertise in magnetic and semiconductor materials. His career spans advanced materials research within Toyota Motor Corporation as well as government service. In his time with Toyota, he has continued his work studying the physics of magnetic materials and leaning into the opportunities presented by materials informatics. He currently serves as department manager within Toyota’s Advanced Data Science Management division.

Bio: Masao Yano earned his Ph.D. from Osaka University and joined Toyota’s advanced research team to investigate magnetic materials by synchrotron and neutron-based methods, push boundaries of materials analysis and incorporate data-driven materials research. He has led initiatives in materials data platforms and service development, including work related to WAVEBASE and the advancement of digital transformation within research and development.  His work focuses on integrating advanced characterization methods with AI and data science to accelerate materials development. He currently serves as a project manager applying WAVEBASE for material informatics within the Advanced Material Engineering division at Toyota.