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.
4th International Symposium on Powder Metallurgy and Materials Development (October 2025)
Title: Mapping Thermoelectric Materials Using Machine Learning on Integrated Computational and Experimental Datasets
AI-Driven Materials Mapping
Y. Hashimoto, X. Jia, H. Li, T. Tomai
APL Machine Learning 3, 036104 (2025)
All-Optical Spin Wave Dispersion
Y. Hashimoto, S. Daimon, R. Iguchi, et al.
Nature Communications 8, 15859 (2017)
83+ citations
Photo-Induced Magnetization Precession
Y. Hashimoto, S. Kobayashi, H. Munekata
Physical Review Letters 100, 067202 (2008)
100+ citations