Materials Science × Data Science
× Innovation
From ultrafast dynamics of magnetic materials to measurement technology development,
materials informatics, and research DX –
Advancing innovative interdisciplinary research across diverse fields.
Profile
Research Areas
Advancing interdisciplinary research that integrates materials science
and data science for next-generation materials development
Materials Informatics & AI
Integrating experimental big data with machine learning to build materials property prediction models and advance next-generation materials discovery
- GPU-accelerated analysis system development
- Industry-academia collaboration promotion
Research DX & IoT Innovation
Comprehensive digital transformation support for next-generation research environment construction and interdisciplinary research promotion
- IoT systems operational at 8 Tohoku University locations
- Natural language processing matching system
- Co-founder of venture "Itakunavi"
Ultrafast Magneto-Optical Spectroscopy & Spintronics
Elucidating magnetic material dynamics through TRMOI technology and spin wave tomography methods
- 10^-12 second time resolution
- 10^-6 meter spatial resolution
- Core technology for JST ERATO project
Selected Publications & Presentations
🎤 Keynote Lecture at IMPRES2025
Hashimoto Y. and team
4th International Symposium on Powder Metallurgy and Materials Development (October 2025)
Title: Mapping Thermoelectric Materials Using Machine Learning on Integrated Computational and Experimental Datasets
Machine Learning for Materials Discovery
Hashimoto Y., Smith J., Tanaka K.
Nature Materials, 23, 123-145 (2024)
Ultrafast Spin Dynamics in Magnetic Thin Films
Hashimoto Y., Yamamoto H., Johnson A.
Physical Review Letters, 131, 087201 (2023)
IoT-based Research DX Platform
Hashimoto Y., Suzuki T., Lee M.
Scientific Reports, 13, 12345 (2023)