Yusuke Hashimoto

日本語

Research Areas

I advance research that bridges materials science and data science. My work spans from magneto-optical dynamics in magnetic materials to the development of novel measurement techniques, materials informatics, and research digitalization (DX), employing innovative approaches across diverse fields.

Materials Informatics

Experimental Big Data × Machine Learning

Developing methodologies for constructing material property models by combining experimental big data with machine learning. Contributing to the promotion and strengthening of materials informatics research at Tohoku University.

  • Experimental data-driven machine learning model development
  • Enhanced accuracy in material property prediction
  • Development of practical educational content
  • Promotion of industry-academia collaborations

Educational & Outreach Activities

  • Published "Practical Materials Informatics for Experimental Materials Researchers"
  • Latest research trend surveys and dissemination
  • Providing concrete research support
  • Promoting knowledge sharing within Tohoku University

IoT Experimental Environment Logging System

Data Science × Experimental Research

Development of cost-effective, high-precision experimental environment logging systems using IoT devices to ensure experimental reproducibility. Achieving fully automated environmental monitoring for approximately 10,000 yen per unit.

  • Automatic measurement of temperature, humidity, pressure, CO2, and organic compound concentrations
  • High-precision monitoring at low cost
  • Cloud-based data management
  • Anomaly detection and alert functions

Implementation Results

  • Trial operation at 8 locations within Tohoku University
  • Detection of anomalies such as water leaks and HVAC failures
  • Automated collection of experimental environment data
  • Contribution to improved research reproducibility

Research Laboratory DX Support

Next-Generation Research Environment Construction

Designing and developing comprehensive research digitalization (DX) systems that integrate digital lab notebooks, IoT environmental monitoring, and experimental automation technologies to support new laboratory establishment.

  • Digital laboratory notebook system implementation
  • Integration of IoT experimental environment logging
  • Centralized digital management of research data
  • Direct utilization for machine learning model development

System Benefits

  • Dramatic improvement in research efficiency
  • Enhanced knowledge sharing within laboratories
  • Improved accessibility to data analysis
  • Next-generation researcher training environment setup

Natural Language Processing Research Matching

NLP × Research Funding Database

Constructing research characteristic models for Tohoku University using natural language processing technologies and research funding databases. Developing collaborative researcher matching and research funding proposal optimization systems.

  • Quantitative modeling of university research characteristics
  • Enhanced precision in researcher matching
  • Research funding application optimization support
  • Collaborative system construction with university administration

Developed Systems

  • Collaborative researcher matching system
  • Research funding proposal optimization system
  • Cooperation framework with Tohoku University administration
  • Contribution to industry-academia collaboration promotion

Ultrafast Time-Resolved Magneto-Optical Spectroscopy

TRMOI & Spin Wave Tomography

Independently developed an ultimate video camera (TRMOI) with 10 picosecond temporal resolution and 1 micrometer spatial resolution. Based on this technology, established the Spin Wave Tomography (SWaT) method to reconstruct dispersion relations of magnetic excitation propagation processes from experimental data.

  • Achieved world-class spatiotemporal resolution
  • All-optical reconstruction of spin wave dispersion relations
  • Innovation in magneto-optical imaging technology
  • Elucidation of anomalous phenomena in spin Seebeck effects

Major Achievements

  • Published in Nature Communications (83 citations)
  • Published in Review of Scientific Instruments
  • Patent obtained for magneto-optical measurement apparatus
  • Core technology in JST ERATO project

High-Repetition-Rate Ultrashort Pulse Semiconductor Laser Spectroscopy

Development of Simplified Magnetic Spectroscopy

Conceived and demonstrated an innovative magnetic spectroscopy method using high-repetition-rate ultrashort pulse semiconductor lasers and repetitive synchronization phenomena of magneto-optical excitation processes, significantly simplifying conventional complex measurement systems.

  • Achieved significant simplification of measurement systems
  • Principle verification through simulation
  • Applications to spintronic device evaluation
  • Design oriented toward industrial practical implementation

Intellectual Property

  • 7 patents obtained and filed
  • Joint research with NHK Science & Technology Research Laboratories
  • Application technology for optical modulation devices
  • Simplification of magnetic material property evaluation

Endowed Research Division: Nanomaterial Process Data Science

As an endowed research division at Tohoku University's Frontier Research Institute for Interdisciplinary Sciences, we aim to create a new interdisciplinary academic field called Materials Process Data Science. By integrating data science with materials process engineering, we are establishing materials process informatics as a guideline for next-generation nanomaterial development.

Collaborative Research & Industry-Academia Partnerships

I actively promote collaborative research with companies and research institutions. If you have inquiries regarding material development, data analysis, or research digitalization (DX), please feel free to contact me.

Collaborative Research Inquiries